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Academic literature on the topic 'Prognostic parameters'

Author: Grafiati

Published: 4 June 2025

Last updated: 23 June 2025

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Journal articles on the topic "Prognostic parameters"

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Holmes, Paula. "Pertussis prognostic parameters." Pathology 51 (February 2019): S124—S125. http://dx.doi.org/10.1016/j.pathol.2018.12.358.

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Schiavone, D., A. Isgrò, F. Migliorini, et al. "Prognostic value of clinical parameters for renal cell carcinoma." Urologia Journal 64, no. 2 (1997): 156–64. http://dx.doi.org/10.1177/039156039706400202.

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– Clinical evaluation of patients with kidney tumours should provide several parameters with possible prognostic value, such as age, sex, incidental discovery, duration of symptoms, weight loss, fever, disease-free interval, performance status, elevated ESR, hypercalcemia, elevated gamma-enolase, local tumour extension, invasion of renal vein and inferior vena cava, lymphatic metastases, distant metastases, tumour dimension, multicentricity, bilaterality and growth velocity. Some of these factors correlate to prognosis in univariate statistical analysis; in multivariate analysis, however, tumour stage is the best prognostic factor, while the other parameters show less or no prognostic value. Besides tumour stage, parameters with an independent value are performance status, weight loss, elevated ESR. Using these prognostic factors, patients can be divided into groups with different prognosis and treatment.

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Mikniene, Zoja, Indre Mickeviciene, Elvina Apulskyte, and Donata Mikalauskienė. "PROGNOSTIC VALUE OF PHYSIOLOGICAL PARAMETERS IN EQUINE COLIC PATIENTS." 3i intellect idea innovation - интеллект идея инновация 2 (2023): 37–41. http://dx.doi.org/10.52269/22266070_2023_2_37.

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The article describes the results of a study of 46 heads of horses with colic syndrome at the veterinary clinic of the Lithuanian University of Medical Sciences in the period from 2016 to 2018. Upon arrival, anamnesis, condition of horses and duration of colic syndrome were recorded. During the clinical exami¬nation, 9 physiological parameters were recorded: temperature, heart rate, capillary filling time, mucosal color, respiratory rate, gastrointestinal noises, gastric reflux, digital pulse and volume of packed cells. All animals were divided into 2 groups: survivors and non-survivors. After that, the 9 physiological parameters described above were compared in two groups to determine their significant prognostic value for the survival of horses. Nine variables were used in the Cox proportional risk model. The odds ratio and the corresponding confidence interval were obtained. The paper shows the results of the survival rate of horses, taking into account the sexual trait. The causes of the appearance of colic syndrome are analyzed. The most important physiological parameters in relation to the appearance, course and completion of colic syndrome have been identified.

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Kusdjianto, Amanda Yuanita. "The Role of Critical Laboratory Parameters to Determine the Severity and Prognosis of COVID-19: Systematic Review." Cermin Dunia Kedokteran 49, no. 10 (2022): 585–88. http://dx.doi.org/10.55175/cdk.v49i10.311.

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Introduction: Few studies have addressed the diagnostic and prognostic value of abnormal laboratory findings in COVID-19 patients. Objective: To identify and assess published studies on the role of laboratory parameters to determine the severity of COVID-19 patients. Method: Systematic review of articles identified from NCBI, Pubmed, BMC, and Elsevier from 2020-2022. Results: Laboratory parameters: complete blood count, serum electrolyte, renal function, liver function, pancreatic enzymes, D-dimer, inflammatory cytokines, and C-reactive protein have a diagnostic and prognostic value in determining the severity of COVID-19. Conclusion: Laboratory parameters have functional prognostic value in determining COVID-19 severity. Pendahuluan: Beberapa penelitian telah membahas nilai diagnostik dan prognostik dari temuan laboratorium abnormal pada pasien COVID-19.Tujuan: Mengidentifikasi peranan parameter laboratorium dalam menentukan keparahan pasien COVID-19. Metode: Review sistematik atas artikel berasal dari NCBI, Pubmed, BMC, Elsevier tahun 2020-2022. Hasil: Parameter laboratorium darah lengkap, elektrolit serum, fungsi ginjal, hati, pankreas, D-dimer, sitokin inflamasi, dan C-reactive protein memiliki nilai diagnosis dan prognosis pasien COVID-19. Simpulan: Parameter laboratorium berperan dalam menentukan keparahan pasien COVID-19

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Bostofte, Erik. "Prognostic parameters in predicting pregnancy." Acta Obstetricia et Gynecologica Scandinavica 66, no. 7 (1987): 617–24. http://dx.doi.org/10.3109/00016348709022067.

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Preston, H. S., L. Moore, I. Toogood, J. Drew, and R. W. Byard. "Prognostic parameters in chlldhood rhaboomyosarcoma." Pathology 25 (1993): 1. http://dx.doi.org/10.1016/s0031-3025(16)35714-2.

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Hamza, Sate. "Prognostic parameters of malignant melanoma." Diagnostic Histopathology 16, no. 7 (2010): 330–36. http://dx.doi.org/10.1016/j.mpdhp.2010.03.015.

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Prat, Jaime. "Prognostic parameters of endometrial carcinoma." Human Pathology 35, no. 6 (2004): 649–62. http://dx.doi.org/10.1016/j.humpath.2004.02.007.

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Leong, Anthony S. Y., and Wendy A. Raymond. "Prognostic parameters in breast cancer." Pathology 21, no. 3 (1989): 169–75. http://dx.doi.org/10.3109/00313028909061053.

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Hofmann, H., W. Tuma, F. X. Heinz, and C. Kunz. "Prognostic parameters of hepatitis B." Serodiagnosis and Immunotherapy in Infectious Disease 2, no. 6 (1988): 453–59. http://dx.doi.org/10.1016/0888-0786(88)90010-8.

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Dissertations / Theses on the topic "Prognostic parameters"

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Bremer, Gerardus Leonardus. "Tumour stroma in cervical cancer, novel prognostic parameters." Maastricht : Maastricht : Universitaire Pers Maastricht ; University Library, Maastricht University [Host], 1995. http://arno.unimaas.nl/show.cgi?fid=8350.

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Raymond, Wendy Ann. "Immunohistochemcial prognostic parameters in breast carcinoma / Wendy Ann Raymond." 1990, 1990. http://hdl.handle.net/2440/38405.

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胡夕春 and Xichun Hu. "Study on the use of potential prognostic parameters in breast cancer patients." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B30158138.

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Hu, Xichun. "Study on the use of potential prognostic parameters in breast cancer patients." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B23440119.

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Kato, Ayako. "Prognostic Value of Quantitative Parameters of ¹⁸F-FDG PET/CT for Patients With Angiosarcoma." Kyoto University, 2020. http://hdl.handle.net/2433/259007.

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Puertas, Monica A. "Statistical and Prognostic Modeling of Clinical Outcomes with Complex Physiologic Data." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5106.

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Laboratory tests are a primary resource for diagnosing patient diseases. However, physicians often make decisions based on a single laboratory result and have a limited perspective of the role of commonly-measured parameters in enhancing the diagnostic process. By providing a dynamic patient profile, the diagnosis could be more accurate and timely, allowing physicians to anticipate changes in the recovery trajectory and intervene more effectively. The assessment and monitoring of the circulatory system is essential for patients in intensive care units (ICU). One component of this system is the platelet count, which is used in assessing blood clotting. However, platelet counts represent a dynamic equilibrium of many simultaneous processes, including altered capillary permeability, inflammatory cascades (sepsis), and the coagulation process. To characterize the value of dynamic changes in platelet count, analytical methods are applied to datasets of critically-ill patients in (1) a homogeneous population of ICU cardiac surgery patients and (2) a heterogeneous group of ICU patients with different conditions and several hospital admissions. The objective of this study was to develop a methodology to anticipate adverse events using metrics that capture dynamic changes of platelet counts in a homogeneous population, then redefine the methodology for a more heterogeneous and complex dataset. The methodology was extended to analyze other important physiological parameters of the circulatory system (i.e., calcium, albumin, anion gap, and total carbon dioxide). Finally, the methodology was applied to simultaneously analyze some parameters enhancing the predictive power of various models. This methodology assesses dynamic changes of clinical parameters for a heterogeneous population of ICU patients, defining rates of change determined by multiple point regression and by the simpler fixed time parameter value ratios at specific time intervals. Both metrics provide prognostic information, differentiating survivors from non-survivors and have demonstrated being more predictive than complex metrics and risk assessment scores with greater dimensionality. The goal was to determine a minimal set of biomarkers that would better assist care providers in assessing the risk of complications, allowing them alterations in the management of patients. These metrics should be simple and their implementation would be feasible in any environment and under uncertain conditions of the specific diagnosis and the onset of an acute event that causes a patient's admission to the ICU. The results provide evidence of the different behaviors of physiologic parameters during the recovery processes for survivors and non-survivors. These differences were observed during the first 8 to 10 days after a patient's admission to the ICU. The application of the presented methodology could enhance physicians' ability to diagnose more accurately, anticipate changes in recovery trajectories, and prescribe effective treatment, leading to more personalized care and reduced mortality rates.

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RUGGERONE, BEATRICE. "OXIDATIVE-ANTIOXIDATIVE COMPOUNDS AND LIPID PARAMETERS AS POTENTIAL DIAGNOSTIC AND PROGNOSTIC MARKERS IN ANIMALS WITH SIRS." Doctoral thesis, Università degli Studi di Milano, 2019. http://hdl.handle.net/2434/619500.

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Nowadays in veterinary medicine the discrimination between an inflammatory status and a systemic inflammatory response syndrome (SIRS) sometimes related to an infectious disease and with a poorer prognosis, could be difficult, both for the clinicians and the clinical pathologists. An early diagnosis would permit to avoid unnecessary use of antibiotics (mainly to contain the problem of antibiotic resistance) and to establish an appropriate monitoring plan. The aim of the two first described works was to validate in horses the Paraoxonase-1 (PON-1), a negative acute phase protein already used in dogs; 120 healthy horses of different sex, age and breed were enrolled; then, this protein was evaluated as a possible diagnostic and prognostic markers of SIRS in this species; PON-1 did not seem to be useful to this aim. The prognostic value was not evaluable because of the small amount of survivors in the SIRS group that did not permit a serial evaluation of PON-1 values. The second part of the thesis is about the Protein Carbonyls (PCOs), that are already used as sepsis markers in humans; a Western Blotting method was initially validated to detect PCOs in canine serum from healthy patients; then, a spectrophotometric method, that could be cheaper and faster than the first one, was employed. With this method, serum from healthy dogs and from dogs with septic or non-septic inflammation was used to measure PCOs. Results between groups were compared to evaluate if PCOs could be considered as possible diagnostic markers of sepsis in association with PON-1 and C-reactive protein (CRP). This marker seemed to be useful to distinguish dogs with sepsis from dogs with sterile inflammation or healthy, but not to give prognostic information. An increase in the amount of the enrolled dogs would consent to enforce the hypothesis that PCOs could become a reliable support to diagnose sepsis.

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VARRENTI, MARISA. "PROGNOSTIC PERFORMANCE OF CLINICAL PRESENTATION AND CARDIAC MAGNETIC RESONANCE IMAGING PARAMETERS IN PATIENTS WITH ACUTE MYOCARDITIS." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2022. http://hdl.handle.net/10281/392357.

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BACKGROUND: L'identificazione di marcatori affidabili associati a eventi dopo una miocardite acuta (AM) è clinicamente rilevante per pianificare un futuro follow-up. Abbiamo cercato di chiarire la performance prognostica dei marcatori di risonanza magnetica cardiaca (CMRI) precedentemente descritti, tra cui l'aumento tardivo del gadolinio settale (LGE), rispetto all'evidenza della frazione di eiezione ventricolare sinistra (LVEF) <50% sulla CMRI basale, rispetto alla presentazione clinica complicata (CCP) della AM (definita come la presenza di aritmie ventricolari sostenute [SVT] o LVEF <50% al primo ecocardiogramma di presentazione fulminante). METODI: Abbiamo valutato 248 pazienti AM con insorgenza di sintomi cardiaci <30 giorni prima del ricovero, aumento della troponina e CMRI coerente con la diagnosi di miocardite (tempo mediano dal ricovero alla CMRI di 6 giorni). I pazienti sono stati raccolti retrospettivamente tra febbraio 2006 e aprile 2019 da 6 ospedali Lombardi con un follow-up mediano di 1708 giorni (primo - terzo quartile [Q1-Q3], 1000-2751). Abbiamo valutato la performance prognostica di LGE settale vs. LVEF<50% su CMRI vs. CCP. RISULTATI: La popolazione dello studio aveva un'età mediana di 34 anni (Q1-Q3: 23-41) con una prevalenza maschile dell'87,1% e una LVEF mediana del 61% (Q1-Q3, 55-66%) alla CMRI basale. Tredici pazienti (5,2%) hanno sperimentato almeno un evento cardiaco maggiore (tra cui morte cardiaca, trapianto di cuore (N=1), arresto cardiaco resuscitato (N=3), SVT (N=5), o ricovero per insufficienza cardiaca (N=5). Tra questi 13 pazienti, 10 (76,9%) avevano LGE settale, 8 (61,5%) avevano LVEF<50%, su CMRI, e 12 (92,3%) avevano un CCP. La migliore performance per questi marcatori prognostici era il valore predittivo negativo (NPV) che variava tra 0,98 e 0,99 per CCP, mentre il valore predittivo positivo era basso, tra 0,14 e 0,25 per LVEF<50%. CONCLUSIONI: Abbiamo confermato che il tasso di eventi cardiaci maggiori dopo una AM è relativamente basso, e LGE settale, LVEF<50% su CMRI, e CCP sono significativamente associati agli eventi nel follow-up. Il risultato più rilevante è l'alto NPV di questi marcatori per identificare i pazienti senza eventi dopo una AM. Questa osservazione può aiutare i medici a monitorare i pazienti dopo una AM ed impostare un corretto monitoraggio nel follow-up sulla base di tali dati all'esordio.<br>BACKGROUND: Identifying reliable markers associated with events after acute myocarditis (AM) is clinically relevant to planning a future follow-up. We aimed to clarify the prognostic performance of previously described cardiac magnetic resonance imaging (CMRI) markers including septal late gadolinium enhancement (LGE), versus evidence of left ventricular ejection fraction (LVEF)<50% on baseline CMRI, vs. complicated clinical presentation (CCP) of AM (defined as the presence of sustained ventricular arrhythmias [SVT] or LVEF <50% on the first echocardiogram of fulminant presentation). METHODS: We assessed 248 AM patients with onset of cardiac symptoms <30 days before admission, increased troponin, and CMRI consistent with myocarditis (median time from admission to CMRI of 6 days). The patients were retrospectively collected between February 2006 and April 2019 from 6 hospitals with a median follow-up of 1708 days (first to third quartile [Q1-Q3], 1000-2751). We assessed the prognostic performance of septal LGE vs. LVEF<50% on CMRI vs. CCP. RESULTS: The study population had a median age of 34 years (Q1-Q3: 23-41) with a male prevalence of 87.1% and a median LVEF of 61% (Q1-Q3, 55-66%) on baseline CMRI. Thirteen patients (5.2%) experienced at least one major cardiac event (including cardiac death, heart transplantation (N=1), aborted cardiac death (N=3), SVT (N=5), or heart failure hospitalization (N=5). Among these 13 patients, 10 (76.9%) had septal LGE, 8 (61.5%) had LVEF<50%, on CMRI, and 12 (92.3%) had a CCP. The best performance for these prognostic markers was the negative predictive value (NPV) ranging between 0.98 and 0.99 for CCP, while predictive value was low, ranging between 0.14 and 0.25 for LVEF<50%. CONCLUSIONS: We confirmed that the rate of major cardiac events after an AM is relatively low, and septal LGE, LVEF<50% on CMRI, and CCP are significantly associated with events. The most relevant finding is the high NPV of these markers to identify patients without events after an AM. This observation can help clinicians to monitor the patients after an AM, in fact, patients without these markers had an uneventful follow-up.

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Anciaux, Maëlle. "Prognostic value of macro- and microenvironment parameters in esophageal cancer: Exploration of candidate biomarkers at morphological, histopathological and molecular levels." Doctoral thesis, Universite Libre de Bruxelles, 2020. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/312668.

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Le cancer de l’œsophage est un cancer particulièrement agressif, avec 450 000 nouveaux cas par an dans le monde. Malgré les récentes innovations thérapeutiques en oncologie, la radiochimiothérapie reste le traitement standard dans ce cancer. Ce traitement lourd est pourtant peu efficace, puisque la survie des patients 5 ans après le diagnostic atteint seulement 20%. Une meilleure connaissance des mécanismes moléculaires ainsi que de nouveaux marqueurs pronostics sont nécessaires afin de réaliser une avancée significative dans la compréhension du cancer de l’œsophage. L’objectif de ce travail concerne l’investigation de nouveaux paramètres pronostiques, macro- ou microenvironnementaux.Dans ce cadre, nous avons investigué l’impact de la composition corporelle et, plus particulièrement, de la qualité du tissu adipeux des patients sur leur survie générale. Les patients souffrant d’un cancer de l’œsophage présentent en général un statut nutritionnel complexe :l’obésité est un facteur de risque de développement d’un adénocarcinome de l’œsophage, tandis que les carcinomes épidermoïdes se développent fréquemment chez des patients malnutris. Nous avons montré que l’atténuation du tissu graisseux au CT-scan a un impact pronostique important. Spécifiquement, une faible densité de la graisse sous-cutanée et viscérale sont des facteurs pronostiques bénéfiques majeurs. Des résultats similaires ont été publiés pour d’autres cancers digestifs, notamment par notre équipe pour le cancer colorectal métastatique. Cependant, les mécanismes biologiques sous-tendant les variations de densité de ces tissus graisseux restent encore incertains. Un tissu graisseux de haute densité refléterait des adipocytes beiges, pauvres en triglycérides et métaboliquement plus actifs. Alors que des phénomènes extrinsèques à la tumeur pourraient amorcer ce phénomène, les facteurs sécrétés par la tumeur pourraient empirer ce processus et impacter l’état de santé général du patient. Nos résultats suggèrent que les traitements pourraient également aggraver ce mécanisme. L’analyse d’échantillons sanguins et de biopsies graisseuses de patients souffrant de cancers gastro-intestinaux nous permettra de dévoiler des marqueurs associés à la variation de densité graisseuse et de faire la lumière sur les mécanismes biologiques impliqués.Depuis quelques années, les motifs histopathologiques de croissance tumorale ont été l’objet de plusieurs études. Associés aux mutations génétiques de la tumeur mais aussi à son microenvironnement, ces motifs de croissance constituent le reflet de processus oncogéniques complexes. Nous avons d’abord exploré l’impact pronostique des motifs histopathologiques de croissance tumorale œsophagienne sur deux cohortes de patients. Nous avons confirmé l’impact pronostique négatif des tumeurs infiltrantes par rapport aux tumeurs expansives. Les tumeurs infiltrantes étaient également plus fréquemment associées à un Stade T et N plus avancés, ainsi qu’à la présence d’emboles lymphovasculaires et d’infiltrations péri-nerveuses. Nous avons ensuite exploré les voies de signalisation classiquement dérégulées dans la carcinogenèse sur la cohorte composée de données publiques ;ces analyses nous ont permis d’identifier l’angiogenèse, la transition épithélio-mésenchymateuse et l’inflammation comme étant surexprimées dans les tumeurs infiltrantes. Nous avons pu identifier OLR1, SFRP4 et CXCL9 comme étant trois gènes intéressants à investiguer pour chacune de ces voies, respectivement.Ces résultats n’ont pas été confirmés par qPCR dans la cohorte de validation. La qualité de l’ARN et le traitement pré- opératoire de ces patients ont réduit le nombre de patients analysables et vraisemblablement contribué à un biais important d’expression des mécanismes biologiques. Une analyse plus extensive de ces trois voies de signalisation pourrait distinguer des acteurs importants du développement de ces motifs de croissance tumorale.En conclusion, ce travail exploratoire a permis de définir plusieurs acteurs du pronostic des patients atteints d’un cancer de l’œsophage. Des analyses moléculaires supplémentaires permettront d’aborder les voies biologiques sous- tendant le développement des motifs histopathologiques de croissance tumorale, d’une part et de variation de densité du tissu graisseux, d’autre part. Ce travail permettra de dévoiler des aspects complexes et encore peu étudiés de l’agressivité des tumeurs œsophagiennes.<br>Doctorat en Sciences biomédicales et pharmaceutiques (Médecine)<br>info:eu-repo/semantics/nonPublished

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Al-Qahtani, Khalid Hussain. "Detection of human papillomavirus in primary site of oraloropharyngeal cancer and in cervical lymph nodes : correlation with clinico-pathological parameters and prognostic significance." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=83960.

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Objectives. (1) To Determine the presence of HPV 6, 11, 16, 18, 31, 33, 35, 52b, 58 subtypes in resected oral/oropharyngeal SCCA cancer and associated lymph nodes. (2) To Determine if a relationship exists between koilocytosis, tumor grade, stage, or prognosis.<br>Methods. Retrospective analysis and pathology review of patients with SCCA of the oral cavity at McGill in the last 5 years was performed. Age at diagnosis, risk factors, tumor stage, grade, koilocytosis, treatment, outcome, and presence of HPV by PCR were analysed.<br>Results. 199 patients included were included in the analyses; 5 years mortality was 18.5%. 146 cases reviewed by pathology revealed 67% koilocytosis. One sample was positive for HPV subtype 35 as determined by PCR. Radiotherapy (p<0,5) and complications from radiotherapy (p<0.5) significantly affected survival.<br>Conclusions. Many oral SCCA's do not contain HPV 6, 11, 16, 18, 31, 33, 35, 52b, 58 subtypes. Given the high prevelence of koilocytosis, probe for other subtypes should be utilized. Mortality rates and survival are similar to those published in the literature. The presence of koilocytosis, it is not related grade, stage or prognosis. Only radiotherapy and its complications affect survival.

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Books on the topic "Prognostic parameters"

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Klicpera, Martin. Chronic aortic regurgitation: Prognostic parameters for patients with chronic aortic regurgitation undergoing aortic valve replacement : value of invasive and non-invasive methods and pharmacological interventions (systemic vasodilation). Facultas Universitätsverlag, 1985.

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Rehn, Suzanne. Prognosis and diagnosis of non-hodgkin lymphomas the role of proliferation associated parameters and magnetic resonance imaging. Uppsala Universitet, 1991.

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Rosca, Monica, Sergio Mondillo, and Kim O’Connor. Left atrium. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0022.

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The left atrium (LA) in a close interdependence with the left ventricle plays an essential role in the overall cardiovascular performance. The impact of LA remodelling on prognosis and risk stratification has gathered increasing evidence. With advances in imaging technology, the assessment of LA size and function become more accessible and precise. LA volume provides the most accurate estimate of LA size and superior prognostic information. Accounting for complex geometry and motion, three-dimensional echocardiography emerges as the preferred technique for the assessment of dynamic changes in LA volume. The assessment of LA function, providing important pathophysiological information, can add consistency in establishing the clinical role of LA remodelling. It is essential to fully understand the strengths and weaknesses of conventional and new echocardiographic techniques used to evaluate LA function. Atrial strain and strain rate parameters are less load dependent and have higher sensitivity in assessing LA function than conventional parameters. However, the lack of standardization and incomplete data regarding their prognostic value limits their routine use in current clinical practice.

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Haugaa, Kristina H., Francesco Faletra, and João L. Cavalcante. Cardiac rhythm disorders. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0063.

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Cardiac rhythm disorders require diagnostic, prognostic, and guidance of therapeutic procedures by echocardiography. The most common sustained cardiac arrhythmia is atrial fibrillation (AF) leading to an increased risk for mortality, heart failure, and thromboembolic events. Echocardiography is performed to assess the aetiology of AF which most commonly is associated with diseases leading to enlarged atria. Furthermore, echocardiography is crucial to evaluate thromboembolic risk by assessing the morphology and function of the left atrial appendage among other parameters. Non-invasive imaging modalities including two-dimensional transthoracic (TTE) and transoesophageal echocardiography (TOE) with three-dimensional imaging are often indicated. Finally, TOE can help in the preprocedural planning and providing guidance for interventions such as pulmonary vein ablation and percutaneous left atrial appendage closure. In patients with ventricular arrhythmias, TTE is the first-line diagnostic tool for assessing the aetiology of ventricular arrhythmias. Ischaemic heart disease, either acute or chronic fibrosis, is the most common causes of ventricular tachycardias. Left ventricular ejection fraction remains the most important parameter for indication of an implantable cardioverter defibrillator for primary prevention therapy, although newer strain echocardiographic measures may add incremental prognostic information.

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Rigo, Fausto, Covadonga Fernández-Golfín, and Bruno Pinamonti. Dilated cardiomyopathy. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0043.

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Dilated cardiomyopathy (DCM) is characterized by a globally dilated and dysfunctioning left ventricle (LV). Therefore, echocardiographic diagnostic criteria for DCM are a LV end-diastolic diameter greater than 117% predicted value corrected for age and body surface area and a LV ejection fraction less than 45% (and/or fractional shortening less than 25%). Usually, the LV is also characterized by a normal or mildly increased wall thickness with eccentric hypertrophy and increased mass, a spherical geometry (the so-called LV remodelling), a dyssynchronous contraction (typically with left bundle branch block), and diastolic dysfunction with elevated LV filling pressure. Other typical echocardiographic features of DCM include functional mitral and tricuspid regurgitation, right ventricular dysfunction, atrial dilatation, and secondary pulmonary hypertension. Several echocardiographic parameters, measured both at baseline and at follow-up, are valuable for prognostic stratification of DCM patients. Furthermore, re-evaluation of echocardiographic parameters during the disease course under optimal medical therapy is valuable for tailoring medical treatment and confirming indications for invasive treatments at follow-up. The stress echo can play a pivotal role in the different phases of DCM helping us in stratifying the prognosis of these patients. Finally, familial screening is an important tool for early diagnosis of DCM in asymptomatic patients.

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Wick, Wolfgang, Colin Watts, and Minesh P. Mehta. Oligodendroglial tumours. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199651870.003.0004.

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Concepts of diagnosis and treatment of oligodendroglial tumours have changed through clinical and translational studies over recent years. Diagnosis is now based on histopathological and integrated molecular information. The latter includes mutations in isocitrate dehydrogenase and the co-deletion of 1p/19q in the tumour tissue. In parallel, the long-term evaluation of large randomized trials performed in Europe and North America led to the current standard of a more aggressive chemoradiation regimen with procarbazine, CCNU (lomustine), and vincristine to optimize progression-free and overall survival. The future directions are delineated, which are aiming at further definition of prognostic and predictive subgroups, based on clinical, molecular, and imaging parameters, integrating immunotherapeutic concepts, as well as a closer look at patient-centred outcomes in upcoming trials.

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Rosenhek, Raphael, Robert Feneck, and Fabio Guarracino. Aortic valve disease. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0014.

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Echocardiography is the gold standard for the assessment of patients with aortic valve (AoV) disease. It allows a detailed morphological assessment of the AoV and thereby makes determination of the aetiology possible. In general, the quantification of aortic stenosis is based on the measurement of transaortic jet velocities and the calculation of AoV area, thus combining a flow-dependent and a flow-independent variable. In the setting of low-flow low-gradient AS, dobutamine echocardiography is of particular diagnostic and prognostic importance. The quantification of aortic regurgitation is based on qualitative and quantitative parameters. Awareness of potential pitfalls is fundamental. Haemodynamic consequences of AoV disease on left ventricular size, hypertrophy, and function as well as potentially coexisting valve lesions can be assessed simultaneously. In patients with AoV disease, predictors of outcome and indications for surgery are substantially defined by echocardiography.

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Karatasakis, G., and G. D. Athanassopoulos. Cardiomyopathies. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0019.

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Echocardiography is a key diagnostic method in the management of patients with cardiomyopathies.The main echocardiographic findings of hypertrophic cardiomyopathy are asymmetric hypertrophy of the septum, increased echogenicity of the myocardium, systolic anterior motion, turbulent left ventricular (LV) outflow tract blood flow, intracavitary gradient of dynamic nature, mid-systolic closure of the aortic valve and mitral regurgitation. The degree of hypertrophy and the magnitude of the obstruction have prognostic meaning. Echocardiography plays a fundamental role not only in diagnostic process, but also in management of patients, prognostic stratification, and evaluation of therapeutic intervention effects.In idiopathic dilated cardiomyopathy, echocardiography reveals dilation and impaired contraction of the LV or both ventricles. The biplane Simpson’s method incorporates much of the shape of the LV in calculation of volume; currently, three-dimensional echocardiography accurately evaluates LV volumes. Deformation parameters might be used for detection of early ventricular involvement. Stress echocardiography using dobutamine or dipyridamole may contribute to risk stratification, evaluating contractile reserve and left anterior descending flow reserve. LV dyssynchrony assessment is challenging and in patients with biventricular pacing already applied, optimization of atrio-interventricular delays should be done. Specific characteristics of right ventricular dysplasia and isolated LV non-compaction can be recognized, resulting in an increasing frequency of their prevalence. Rare forms of cardiomyopathy related with neuromuscular disorders can be studied at an earlier stage of ventricular involvement.Restrictive and infiltrative cardiomyopathies are characterized by an increase in ventricular stiffness with ensuing diastolic dysfunction and heart failure. A variety of entities may produce this pathological disturbance with amyloidosis being the most prevalent. Storage diseases (Fabry, Gaucher, Hurler) are currently treatable and early detection of ventricular involvement is of paramount importance for successful treatment. Traditional differentiation between constrictive pericarditis (surgically manageable) and the rare cases of restrictive cardiomyopathy should be properly performed.

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Noutsias, Michel, and Bernhard Maisch. Myocarditis and pericarditis. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199687039.003.0058.

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Transition of acute myocarditis to dilated cardiomyopathy occurs in approximately 20% of patients within a follow-up period of 33 months. Recent research has revealed the adverse prognostic impact of several clinical parameters for this scenario. Acute myocarditis and its sequelae dilated cardiomyopathy and inflammatory cardiomyopathy are often caused by viral infections. Histological evaluation of endomyocardial biopsies is critical for the diagnosis of the cardiomyopathy entity and for the clinical management of around 20% of the patients. Additionally, contemporary diagnostic procedures of endomyocardial biopsies are indispensable for the selection of inflammatory cardiomyopathy patients who will likely benefit from immunosuppression or antiviral (interferon) treatment. Immunoadsorption, with subsequent immunoglobulin substitution, is a further promising immunomodulatory treatment option for dilated cardiomyopathy patients, targeting primarily the anticardiac autoantibodies. Cardiac magnetic resonance has emerged as a valuable diagnostic approach for myocarditis and pericarditis. Myocardial late gadolinium enhancement has been associated with adverse outcome and sudden cardiac death. Bridging of the first 3–6 months with a wearable cardioverter–defibrillator, until a definitive decision on the implantation of an implantable cardioverter–defibrillator, is a growingly recognized cornerstone in the clinical management of patients with acute myocarditis with depressed left ventricular ejection fraction of <40% and new-onset dilated cardiomyopathy, respectively. Acute pericarditis is labelled idiopathic or suspected viral without adequate proof of the respective aetiology. Non-steroidal anti-inflammatory drugs and colchicine are proven and safe therapeutic mainstays for pericarditis, including the first attack. Pericardiocentesis is a lifesaving treatment of cardiac tamponade. Pericardioscopy and epicardial biopsies can contribute to the aetiological differentiation of pericardial effusions.

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Noutsias, Michel, and Bernhard Maisch. Myocarditis and pericarditis. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199687039.003.0058_update_001.

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Transition of acute myocarditis to dilated cardiomyopathy occurs in approximately 20% of patients within a follow-up period of 33 months. Recent research has revealed the adverse prognostic impact of several clinical parameters for this scenario. Acute myocarditis and its sequelae dilated cardiomyopathy and inflammatory cardiomyopathy are often caused by viral infections. Histological evaluation of endomyocardial biopsies is critical for the diagnosis of the cardiomyopathy entity and for the clinical management of around 20% of the patients. Additionally, contemporary diagnostic procedures of endomyocardial biopsies are indispensable for the selection of inflammatory cardiomyopathy patients who will likely benefit from immunosuppression or antiviral (interferon) treatment. Immunoadsorption, with subsequent immunoglobulin substitution, is a further promising immunomodulatory treatment option for dilated cardiomyopathy patients, targeting primarily the anticardiac autoantibodies. Cardiac magnetic resonance has emerged as a valuable diagnostic approach for myocarditis and pericarditis. Myocardial late gadolinium enhancement has been associated with adverse outcome and sudden cardiac death. Bridging of the first 3 months with a wearable cardioverter–defibrillator, until a definitive decision on the implantation of an implantable cardioverter–defibrillator, is a growingly recognized cornerstone in the clinical management of patients with acute myocarditis with depressed left ventricular ejection fraction of <40% and new-onset dilated cardiomyopathy, respectively. Acute pericarditis is labelled idiopathic or suspected viral without adequate proof of the respective aetiology. Non-steroidal anti-inflammatory drugs and colchicine are proven and safe therapeutic mainstays for pericarditis, including the first attack. Pericardiocentesis is a lifesaving treatment of cardiac tamponade. Pericardioscopy and epicardial biopsies can contribute to the aetiological differentiation of pericardial effusions.

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Book chapters on the topic "Prognostic parameters"

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Pizem, Joze, Andrej Cör, and Mara Popovic. "Prognostic Parameters in Atypical and Malignant Meningiomas." In Tumors of the Central Nervous System, Volume 7. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2894-3_13.

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Bilinski, Cheryl, Avery LaChance, and Michael J. Murphy. "Clinical and Histopathological Parameters in Melanoma." In Diagnostic and Prognostic Biomarkers and Therapeutic Targets in Melanoma. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-60761-433-3_5.

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Sørensen, J. B., and K. Østerlind. "Prognostic Factors: From Clinical Parameters to New Biological Markers." In Progress and Perspective in the Treatment of Lung Cancer. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59824-1_1.

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Trost, H. A., M. R. Gaab, L. Hahn, M. Lorenz, and I. Haubitz. "Prognostic Parameters in Severe Head Injury: A Multivariate Analysis." In Advances in Neurosurgery. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74279-8_11.

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Carrer, Alessandro, Massimo Giacca, and Mauro Giacca. "Molecular Parameters for Prognostic and Predictive Assessment in Colorectal Cancer." In Updates in Surgery. Springer Milan, 2013. http://dx.doi.org/10.1007/978-88-470-2670-4_4.

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Lockyer, Megan G., and Thomas M. Wheeler. "Prostate Cancer: Screening, Surveillance, Prognostic Algorithms and Independent Pathologic Predictive Parameters." In Cancer Consult: Expertise for Clinical Practice. John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118589199.ch97.

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Rüschoff, J., T. Bocker, P. Vogel, and J. Schlegel. "Prognostic Significance of Molecular Biological and Immunohistological Parameters in Gastrointestinal Carcinomas." In New Perspectives in Molecular and Clinical Management of Gastrointestinal Tumors. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80035-1_6.

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Sarbia, M., and H. E. Gabbert. "Modern Pathology: Prognostic Parameters in Squamous Cell Carcinoma of the Esophagus." In Esophageal Carcinoma. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59600-1_2.

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Słowikowski, Bartosz, Wojciech Owecki, Joanna Poszwa, et al. "Epigenetic Parameters as Potential Prognostic and Therapeutic Factors in Neurodegenerative Diseases." In RNA Technologies. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-91072-2_7.

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Huang, Shao Hui, Revadhi Chelvarajah, Lessandra Y. S. Chee, Ezra Hahn, and Brian O’Sullivan. "The Evolving Landscape of Prognostic Factors in HPV-Related Oropharynx Cancer." In Critical Issues in Head and Neck Oncology. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-84539-0_15.

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Abstract Risk-tailored approaches are the backbone of contemporary clinical research and treatment in oncology. Attention to risk-stratification model development, especially concerning the choice and emphasis of prognostic factors to include in a model, is essential to understanding prognosis and implementing strategies to advance treatment, e.g. selecting patients for differing treatments or strategies for exploration in clinical trials, including defining eligibility for trials and determining useful stratifications in the design of randomised controlled trials. Prognostic factors can be classified as pre-treatment factors and dynamic factors. Pre-treatment baseline factors refer to those factors that exist prior to any intervention or treatment for the setting under consideration. The outcomes of HPV-positive oropharyngeal carcinoma (HPV+ OPC) patients can be stratified based on a number of parameters, that usually include some description of smoking status, patient characteristics such as age, performance status, and conventional TNM disease stage. Emerging areas that may be considered now or in the future also include extranodal extension (ENE), baseline circulating HPV DNA (HPV-ctDNA), and TME (tumour micro-environment) among others. Dynamic factors refer to those emerging during and post-treatment. The latter concept is obviously not new and has traditionally influenced post-initial management approaches of head and neck cancer for many years, such as when making decisions based on pathological findings after surgery (e.g. pathological size, tumour extension, resection margin status and the presence of ENE status in the resected specimen). However, the current discussion will focus on important emerging strategies within the same paradigm, e.g. response to induction therapy, and changes in HPV-ctDNA. Compared to traditional smoking-related HPV-negative OPC, HPV+ OPC is a different disease with very different biological and clinical behaviour and it is important to re-appraise traditional prognostic factors as well to appreciate the clinical relevance of emerging biomarkers. This chapter summarizes updates concerning prognostic factors and risk stratification in HPV+ OPC that may realistically influence management or investigation of the disease in the short term.

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Conference papers on the topic "Prognostic parameters"

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Clark, Brandi, Ryan Meekins, Jacob Wright, Liam Agnew, and Fritz Friedersdorf. "Measurement and Prediction of Aerospace Corrosion Rate Using Real-Time Sensor Measurements and Machine Learning Approaches." In CORROSION 2020. NACE International, 2020. https://doi.org/10.5006/c2020-14884.

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Abstract Corrosion represents a significant cost driver for the Department of Defense, with an estimated total annual cost of corrosion for aviation and missiles of $10.2 billion, or 24.3% of maintenance expenditures. To more effectively combat corrosion, accurate diagnostics and prognostics for cumulative corrosion damage based on corrosivity and environmental conditions are needed. Current schedule-based maintenance practices may be unnecessarily conservative, leading to reduced availability and increased demand on maintenance personnel. Schedule-based practices may also miss unexpectedly aggressive conditions that result in the need for more significant maintenance and repairs. Using on-asset environment and corrosivity monitoring systems, maintenance and sustainment of aircraft can be optimized to decrease costs and increase aircraft availability. The overall goal of this work was to verify the relationships between time-dependent environmental parameters and measurements of instantaneous corrosion rates. These relationships would form the basis for diagnostic and prognostic algorithms that could be used to establish condition-based maintenance practices. Machine learning methods were used to model environmental parameters and corrosion rate data from cyclic laboratory corrosion tests. Real-time measurements of temperature, relative humidity (RH), contaminants (salt loading), free corrosion, and galvanic corrosion were collected using simplified environmental cycles with two different salt loading conditions. The laboratory corrosion test cycles were designed to simulate atmospheric conditions at a specific base location. The resulting environmental data sets were used to build regression models to predict aluminum free corrosion and aluminum/stainless steel galvanic corrosion rates obtained from standard electrochemical sensors (ANSI/NACE TM0416-2016-SG). These machine learning techniques produced excellent (R2 &gt; 0.9) predictions for both aluminum free corrosion and galvanic corrosion using the environmental parameters. Continuous measurements of environmental conditions and corrosivity may be useful for investigating the relationships between environmental parameters, contaminant accumulation, and corrosion rate, and machine learning methods may enable diagnostic and prognostic models required for condition-based maintenance.

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Ciężak, Patryk, Piotr Synaszko, and Andrzej Leski. "Use of the Corrosion Prognostic Health Management (CPHM) System on the Mi-24 Helicopter." In CONFERENCE 2022. AMPP, 2022. https://doi.org/10.5006/c2022-17885.

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The following article presents “Corrosion Prognostic Health Management" (CPHM) System used on helicopter Mi-24. Polish army spends millions of dollars annually on inspection, identification and repair of damage resulting from aircraft corrosion. That is why it is so important to reduce maintenance time and costs. CPHM System helps in this process by reduce maintenance costs and helps in improving the CPCP program. In order to increase aircraft safety, availability, and operational efficiency, Polish army use an on-platform monitoring system. Corrosion prediction requires inputs, models, and actionable outputs that can be used by maintainers. Aircraft corrosion monitoring systems quantify: Environmental parameters (environmental severity) and Corrosion rate of surrogate materials (corrosivity). Conversion equations from signals from sensors to the rate of loss of current to mass are also very important part of the system. The article shows the approach to Corrosion Prognostic Health Management (CPHM) System. Explains which sensors have been installed on the Mi-24 helicopter. The authors explain which sensors are selected and why. In what locations were installed on the Mi-24 helicopter (Wireless corrosion monitoring for evaluation of aircraft structural health). Will also be shown data obtained from the operation on the Mi-24 helicopter. The authors will also show correlation between data obtained from corrosion sensors located on the Mi-24 helicopter and data obtained from Atmospheric Corrosion Test Site. It is a necessary process for the correct assessment of the corrosivity of the atmosphere, which will allow for the development of an appropriate corrosivity model in the future.

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Dardi, F., M. Palazzini, G. Pretolani, et al. "Prognostic Role of Laboratory Parameters in Patients with Pulmonary Arterial Hypertension." In American Thoracic Society 2020 International Conference, May 15-20, 2020 - Philadelphia, PA. American Thoracic Society, 2020. http://dx.doi.org/10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a3844.

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Li, Guoliang, Jie Wang, Jiaqi An, et al. "76 Prognostic potential of electrocardiographic parameters in patients with multiple myeloma." In Abstracts from the British Cardiovascular Society Annual Conference 2020. BMJ Publishing Group Ltd and British Cardiovascular Society, 2020. http://dx.doi.org/10.1136/heartjnl-2020-bcs.76.

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Jeon, Sang-hoon, Seung-Sik Hwang, Jung-Soo Kim, et al. "Prognostic Model Using Clinical Parameters In Non-Small-Cell Lung Cancer Patients." In American Thoracic Society 2012 International Conference, May 18-23, 2012 • San Francisco, California. American Thoracic Society, 2012. http://dx.doi.org/10.1164/ajrccm-conference.2012.185.1_meetingabstracts.a2527.

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Pinho, Rafaela Seixas, Afonso Moraes Melo Junior, Rafael Silva Lemos, Amanda da Silva Furtado, and Luís Eduardo Werneck de Carvalho. "Gliomas: tumor markers and prognosis." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.538.

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Background: Gliomas are classified based from the molecular parameters involved in their pathogenesis, which influence their prognosis. The parameters are based on the mutation of the genes encoding the enzyme isocitrate dehydrogenase 1 and 2 (IDH1 and IDH2), on the codelection of the arms of chromosome 1p/19q and the promoting hypermethylation of the MGMT gene. Objectives: identify tumor markers related to gliomas and their prognostic values. Methods: integrative review of the literature based on pubmed, lilacs and scielo platforms. Articles published in English, Portuguese and Spanish between 2016 and 2021 were included. Articles that were not related to the theme were excluded from the analysis. Results: The IDH1 and 2 genes are traditional markers and mutations in these genes are associated with a better prognosis. The codeletion 1p/19q, on the other hand, is indicative of a more favorable prognosis when related to tumors without codeletion. MGMT gene hypermethylation has strong prognostic value in patients treated with radiotherapy and chemotherapy with alkyl agentes, because the low expression of the MGMT gene allows better efficacy of the therapy, which would be prevented by the MGMT enzyme. The circulating marker microRNA – 221 (miRNA), obtained by less invasive techniques, is an indicator of poor prognosis, however, it has not yet obtained clinical validation for use. Conclusion: It is concluded that the tumor markers that indicate a better prognosis are the genes IDH-I and II, the codelection 1p / 19q and the hypermethylation of the MGMT gene. While miRNA showed a worse prognosis.

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Vatani, A., K. Khorasani, and N. Meskin. "Health Monitoring and Degradation Prognostics in Gas Turbine Engines Using Dynamic Neural Networks." In ASME Turbo Expo 2015: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/gt2015-44101.

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In this paper two artificially intelligent methodologies are proposed and developed for degradation prognosis and health monitoring of gas turbine engines. Our objective is to predict the degradation trends by studying their effects on the engine measurable parameters, such as the temperature, at critical points of the gas turbine engine. The first prognostic scheme is based on a recurrent neural network (RNN) architecture. This architecture enables ONE to learn the engine degradations from the available measurable data. The second prognostic scheme is based on a nonlinear auto-regressive with exogenous input (NARX) neural network architecture. It is shown that this network can be trained with fewer data points and the prediction errors are lower as compared to the RNN architecture. To manage prognostic and prediction uncertainties upper and lower threshold bounds are defined and obtained. Various scenarios and case studies are presented to illustrate and demonstrate the effectiveness of our proposed neural network-based prognostic approaches. To evaluate and compare the prediction results between our two proposed neural network schemes, a metric known as the normalized Akaike information criterion (NAIC) is utilized. A smaller NAIC shows a better, a more accurate and a more effective prediction outcome. The NAIC values are obtained for each case and the networks are compared relatively with one another.

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Moon, J., H. Kim, and H. Shin. "Correlation between Parameters of Optical Diffusion Imaging and Prognostic Factors of Breast Cancer." In Abstracts: Thirty-Second Annual CTRC‐AACR San Antonio Breast Cancer Symposium‐‐ Dec 10‐13, 2009; San Antonio, TX. American Association for Cancer Research, 2009. http://dx.doi.org/10.1158/0008-5472.sabcs-09-5018.

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Burykh, Eduard. "RESPIRATION PARAMETERS AS PROGNOSTIC FOR EVALUATION OF TOLERANCE TO NORMOBARIC HYPOXIA IN RATS." In XVII INTERNATIONAL INTERDISCIPLINARY CONGRESS NEUROSCIENCE FOR MEDICINE AND PSYCHOLOGY. LCC MAKS Press, 2021. http://dx.doi.org/10.29003/m2068.sudak.ns2021-17/92.

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Silva, S. S., V. I. A. Lima, R. R. Cunha, R. V. Pordeus, C. A. V. Azevedo, and J. O. Pereira. "PROGNOSTIC OF MAXIMAL FLOW RATE BY SASIS MODEL: SENSIBILITY TO FURROW SHAPE EMPIRIC PARAMETERS." In III Inovagri International Meeting. INOVAGRI/INCT-EI, 2015. http://dx.doi.org/10.12702/iii.inovagri.2015-a081.

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Reports on the topic "Prognostic parameters"

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Yadgarov, Mikhail, Levan Berikashvili, Elena Rakova, Denis Kachanov, and Yury Likar. Prognostic significance of 18F-FDG PET/CT-based metabolic parameters in adults and children with soft-tissue sarcoma: a meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.7.0087.

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Yadgarov, Mikhail, Levan Berikashvili, Elena Rakova, Elena Konopleva, Alexander Karachunskiy, and Yury Likar. Prognostic significance of 18F-FDG PET/CT-based metabolic parameters in adults and children with bone sarcoma and Ewing’s sarcoma: pairwise and network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.7.0088.

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Chen, Kunlin, Ming Yang, and Wentao Wang. Prognostic role of pectoralis muscle parameter for COVID-19: Systematic review with meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.3.0055.

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Grace, Dr Golla Reethi Shiny, Dr Anu K., Dr Pratyusha Choudary G., and Dr M. v. PATTERN OF THE HEMATOLOGICAL PARAMETERS IN COVID-19 PATIENTS. World Wide Journals, 2023. http://dx.doi.org/10.36106/ijar/5106302.

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Background: The coronavirus (SARS CoV 2)-related viral disease COVID 19 causes acute respiratory disease with severe symptoms. Numerous biomarkers of infection and inammation have been found to inuence the severity of disease. Acute respiratory infection, fever, pneumonia, cough, tiredness, and inammation are frequent clinical ndings during hospitalisation. The severity of the disease and a possibility of disease progression can be determined by circulating biomarkers like TWBC count, NLR and CRP that reect inammation. This is a retrospective study conducted on eight Material and Methods: y COVID-19 positive patients admitted at Dr.Pinnamaneni Siddhartha Institute of Medical Sciences & RF, ChinnaAvutapally from 1st January 2021 to 30th June 2021. Results: Among the 80 COVID 19 patients studied, there are 63% males and 37% females. 46% of patients showed leucocytosis, 43% showed increased NLR and 60 % showed raised CRP. Hematological parameters in COVID 19 are important for di Conclusion: agnosis, complication management, prognosis, and patient recovery. These parameters must be effectively integrated into clinical algorithms and therapeutic decision making in addition to clinical assessment

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MR MSK Cartilage for Joint Disease, Consensus Profile. Chair Thomas Link and Xiaojuan Li. Radiological Society of North America (RSNA) / Quantitative Imaging Biomarkers Alliance (QIBA), 2021. http://dx.doi.org/10.1148/qiba/20210925.

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The goal of a QIBA Profile is to help achieve a useful level of performance for a given biomarker. The Claim (Section 2) describes the biomarker performance. The Activities (Section 3) contribute to generating the biomarker. Requirements are placed on the Actors that participate in those activities as necessary to achieve the Claim. Assessment Procedures (Section 4) for evaluating specific requirements are defined as needed. This QIBA Profile (MR-based cartilage compositional biomarkers (T1ρ, T2) ) addresses the application of T1ρ and T2 for the quantification of cartilage composition, which can be used as an imaging biomarker to diagnose, predict and monitor early osteoarthritis. It places requirements on Acquisition Devices, Technologists, MRI Physicists, Radiologists, Reconstruction Software and Image Analysis Tools involved in Subject Handling, Image Data Acquisition, Image Data Reconstruction, Image Quality Assurance (QA) and Image Analysis. The requirements are focused on achieving sufficient reproducibility and accuracy for measuring cartilage composition. The clinical performance target is to achieve a reproducibility of 4-5% for measurements of global cartilage composition with T2 and T1ρ relaxation time measurements and a 95% confidence level for a true/critical change in cartilage composition (least significant change) with a precision of 11-14% and 9-12% if only an increase is expected (claim is one-sided). The target applies to 3T MR scanners of one manufacturer with identical scan parameters across different sites. It does not apply to scanners from different manufacturers. This document is intended to help clinicians basing decisions on this biomarker, imaging staff generating this biomarker, vendor staff developing related products, purchasers of such products and investigators designing trials with imaging endpoints. Note that this document only states requirements to achieve the claim, not “requirements on standard of care.” Conformance to this Profile is secondary to properly caring for the patient. Summary for Clinical Trial Use The MR-based cartilage compositional biomarkers profile defines the behavioral performance levels and quality control specifications for T1ρ, T2 scans used in single- and multi-center clinical trials of osteoarthritis and other trials assessing cartilage composition longitudinally with a focus on therapies to treat degenerative joint disease. While the emphasis is on clinical trials, this process is also intended to be applied for clinical practice. The specific claims for accuracy are detailed below in the Claims. The specifications that must be met to achieve conformance with this Profile correspond to acceptable levels specified in the T1ρ, T2 Protocols. The aim of the QIBA Profile specifications is to minimize intra- and inter-subject, intra- and inter-platform, and interinstitutional variability of quantitative scan data due to factors other than the intervention under investigation. T1ρ and T2 studies performed according to the technical specifications of this QIBA Profile in clinical trials can provide quantitative data for single timepoint assessments (e.g. disease burden, investigation of predictive and/or prognostic biomarker(s)) and/or for multi-time-point comparative assessments (e.g., response assessment, investigation of predictive and/or prognostic biomarkers of treatment efficacy). A motivation for the development of this Profile is that while a typical MR T1ρ and T2 measurement may be stable over days or weeks, this stability cannot be expected over the time that it takes to complete a clinical trial. In addition, there are well known differences between scanners and the operation of the same type of scanner at different imaging sites. The intended audiences of this document include: Biopharmaceutical companies, rheumatologists and orthopedic surgeons, and clinical trial scientists designing trials with imaging endpoints. Clinical research professionals. Radiologists, technologists, physicists and administrators at healthcare institutions considering specifications for procuring new MRI equipment for cartilage measurements. Radiologists, technologists, and physicists designing T1ρ and T2 acquisition protocols. Radiologists, and other physicians making quantitative measurements from T1ρ and T2 sequence protocols. Regulators, rheumatologists, orthopedic surgeons, and others making decisions based on quantitative image measurements. Technical staff of software and device manufacturers who create products for this purpose. Note that specifications stated as 'requirements' in this document are only requirements to achieve the claim, not 'requirements on standard of care.' Specifically, meeting the goals of this Profile is secondary to properly caring for the patient.

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DCE-MRI V.2, Consensus QIBA Profile. Chair Hendrik Laue and James O'Connor. Radiological Society of North America (RSNA)/Quantitative Imaging Biomarkers Alliance (QIBA), 2023. https://doi.org/10.1148/qiba/20231206.

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Abstract:

The goal of the DCE-MRI quantification QIBA Profile version 2.0 is to provide an update from the Dynamic Contrast Enhanced MRI (DCE-MRI) Quantification profile (version 1.0, dated July 1, 2012) in order to include the use of 3 Tesla (T) MRI and the use of parallel imaging with receiver coil arrays. While many pharmacokinetic models have been described, this QIBA Profile (DCE-MRI Quantification) specifically addresses the physiological parameter Ktrans derived from the Tofts or generalized kinetic model (GKM) (1), which is correlated with the vessel (surface/area product and permeability) and haemodynamic (flow) properties. Tofts et al. introduced an extended Tofts model or extended GKM (eGKM), including a signal contribution from the arteries to cover tissue with higher vascularization (1). DCE-MRI is recognized as a potential method to provide predictive, prognostic, and/or physiological response biomarkers for cancer (2–10). This potential has been obtained despite considerable variation in the methods used for acquisition and analysis of the DCE-MRI data. This suggests there are substantial physiological differences (i.e., benign vs. malignant or non-responsive vs. responsive tumors) underlying these observations. Thus, there is potential value recognized in the integration of DCE-MRI for basic research, drug development, clinical research, and in routine clinical practice. However, in order to fulfill the promise of using DCE-MRI as a clinically useful tool, it is essential that common quantitative endpoints are used and that results are independent of imaging platforms, clinical sites, and time. Update to include 3T: With the inclusion of 3T MRI, we have introduced “recommended” procedures to calibrate and compensate for radio frequency (RF) transmit (or B1 + field) inhomogeneity, described in the subsequent sections. At 3T, this calibration is ideally utilized to obtain the desired precision of the resulting DCE-MRI biomarkers in the breast and prostate, and this finding is expected to generalize to all other body parts (11,12). This profile also contains an Appendix with recommended vendor-specific procedures for acquiring the requisite calibration information. Update to include Parallel Imaging: The inherent trade-offs between temporal and spatial resolution can be improved by using parallel imaging techniques to accelerate acquisition. But, the use of parallel imaging comes at the expense of signal-to-noise ratio (SNR) and potential artifacts. Nevertheless, modest acceleration factors are beneficial in the context of DCE-MRI and a range of acceleration factors are described in this profile. Profile development is an evolutionary, phased process; this Profile is in the Public Comment Resolution Draft stage. The performance claims represent expert consensus and will be empirically demonstrated at a subsequent stage. Users of this Profile are encouraged to refer to the following site to understand the document’s context: http://qibawiki.rsna.org/index.php/QIBA_Profile_Stages. The Claim (Section 2) describes the biomarker performance. The biomarker performance claims are derived from the body of scientific literature that have presented test-retest studies meeting scientific requirements. The Activities (Section 3) contribute to generating the biomarker. Requirements are placed on the Actors that participate in those activities as necessary to achieve the Claim. Assessment Procedures (Section 4) for evaluating specific requirements are defined as needed to ensure acceptable performance. Conformance (Section 5) regroups Section 3 requirements by the Actor to conveniently check Conformance to the profile. This document is intended to help imaging staff generating this biomarker, vendor staff developing related products, purchasers of such products, clinicians who are using this biomarker to aid in clinical decisions, and researchers using this imaging biomarker as an endpoint measure within clinical trials. Note that this document states requirements to achieve the specified Claims and does not reflect “standard of care” requirements for DCE-MRI. Due to the limited availability of test-retest studies, some of the Claims were achieved based on protocols that are outdated relative to the currently available imaging capabilities. Therefore, this profile also provides recommendations based on consensus by the DCE-MRI committee that reflect current quantitative DCE-MRI practices. Conformance to this Profile is secondary to properly caring for the patient.

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