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Littérature scientifique sur le sujet « Advanced imaging modalities »

Auteur : Grafiati

Publié le 6 juin 2025

Mis à jour le 10 juin 2025

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Articles de revues sur le sujet "Advanced imaging modalities"

Awadalla, Magid, Malek Z. O. Hassan, Raza M. Alvi, and Tomas G. Neilan. "Advanced imaging modalities to detect cardiotoxicity." Current Problems in Cancer 42, no. 4 (2018): 386–96. http://dx.doi.org/10.1016/j.currproblcancer.2018.05.005.

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Dave, Bhoomi, Pranay Maniar, Noorvir Kaur, Samantha A. Delapena, and Amir B. Behnam. "The Role of Advanced Imaging in Facial Reconstructive Surgery." Journal of Surgery Care 3, no. 3 (2024): 01–09. http://dx.doi.org/10.33140/jsc.03.03.02.

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This review explores the utilization of advanced imaging techniques in facial reconstructive surgery. The primary aim of the article is to assess the role of these imaging modalities in preoperative planning, head and neck diagnoses, intraoperative guidance, and postoperative assessment for facial reconstruction procedures. The review synthesizes data from numerous studies investigating the application of advanced imaging in facial reconstructive surgery. These studies encompassed patients undergoing various reconstructive procedures, including trauma reconstruction, oncologic reconstruction, and congenital deformity correction. Imaging modalities such as computed tomography (CT), magnetic resonance imaging (MRI), and threedimensional (3D) imaging were analyzed for their utility in preoperative assessment, surgical planning, and outcome evaluation. Statistical analyses included meta-analyses of pooled data where applicable to assess the overall impact of advanced imaging on surgical outcomes. The review highlights the pivotal role of advanced imaging in enhancing the precision and success of facial reconstructive surgery. By utilizing imaging modalities such as CT, MRI, and 3D imaging, surgeons can achieve greater precision, optimize surgical planning, and enhance patient outcomes. Integrating advanced imaging into routine practice is essential for improving surgical outcomes, patient satisfaction, and overall quality of care in facial reconstructive surgery

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Fadul, Dalia, and Laura M. Fayad. "Advanced Modalities for the Imaging of Sarcoma." Surgical Clinics of North America 88, no. 3 (2008): 521–37. http://dx.doi.org/10.1016/j.suc.2008.03.003.

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Press, Robert H., Jim Zhong, Saumya S. Gurbani, et al. "The Role of Standard and Advanced Imaging for the Management of Brain Malignancies From a Radiation Oncology Standpoint." Neurosurgery 85, no. 2 (2018): 165–79. http://dx.doi.org/10.1093/neuros/nyy461.

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Abstract Radiation therapy (RT) plays a critical role in the overall management of many central nervous system (CNS) tumors. Advances in RT treatment planning, with techniques such as intensity modulated radiation therapy, volumetric modulated arc therapy, and stereotactic radiosurgery, now allow the delivery of highly conformal dose with great precision. These techniques rely on high-resolution 3-dimensional anatomical imaging modalities such as computed tomography or magnetic resonance imaging (MRI) scans to accurately and reliably define CNS targets and normal tissue avoidance structures. The integration of cross-sectional imaging into radiation oncology has directly translated into improvements in the therapeutic window of RT, and the union between radiation oncology and imaging is only expected to grow stronger. In addition, advanced imaging modalities including diffusion, perfusion, and spectroscopic MRIs as well as positron emission tomography (PET) scans with novel tracers are being utilized to provide additional insight into tumor biology and behavior beyond anatomy. Together, these standard and advanced imaging modalities hold significant potential to improve future RT delivery and response assessment. In this review, we will discuss the current utilization of standard/advanced imaging for CNS tumors from a radiation oncology perspective as well as the implications of novel MRI and PET modalities currently under investigation.

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Orii, Makoto, Toshio Imanishi, and Takashi Akasaka. "Assessment of Cardiac Sarcoidosis with Advanced Imaging Modalities." BioMed Research International 2014 (2014): 1–15. http://dx.doi.org/10.1155/2014/897956.

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Sarcoidosis is a chronic systemic disease of unknown etiology that is characterized by the presence of noncaseating epithelioid granulomas, usually in multiple organs. Several studies have shown that sarcoidosis might be the result of an exaggerated granulomatous reaction after exposure to unidentified antigens in genetically susceptible individuals. Cardiac involvement may occur and lead to an adverse outcome: the heart mechanics will be affected and that causes ventricular failure, and the cardiac electrical system will be disrupted and lead to third degree atrioventricular block, malignant ventricular tachycardia, and sudden cardiac death. Thus, early diagnosis and treatment of this potentially devastating disease is critically important. However, sensitive and accurate imaging modalities have not been established. Recent studies have demonstrated the promising potential of cardiac magnetic resonance imaging (MRI) and18F-fluoro-2-deoxyglucose positron emission tomography (18F-FDG PET) in the diagnosis and assessment of cardiac sarcoidosis (CS). In this review, we discuss the epidemiology, etiology, histological findings, and clinical features of sarcoidosis. We also introduce advanced imaging including18F-FDG PET and cardiac MRI as more reliable diagnostic modalities for CS.

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Alqudah, Noor. "Keratoconus: imaging modalities and management." Medical hypothesis discovery and innovation in ophthalmology 13, no. 1 (2024): 44–54. http://dx.doi.org/10.51329/mehdiophthal1493.

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Background: Keratoconus (KCN) is characterized by gradual thinning and steepening of the cornea, which can lead to significant vision problems owing to high astigmatism, corneal scarring, or even corneal perforation. The detection of KCN in its early stages is crucial for effective treatment. In this review, we describe current advances in the diagnosis and treatment of KCN. Methods: This narrative review focuses on recent advancements in the diagnosis and treatment of KCN, especially evolving approaches and strategies. To ensure the inclusion of the most recent literature, relevant publications discussing advanced imaging techniques and treatment options for KCN were extensively gathered from the PubMed/MEDLINE and Google Scholar databases. The following index terms and keywords were used for the online search: keratoconus, diagnosis of keratoconus, advances in the diagnosis of keratoconus, topography or tomography, anterior segment optical coherence tomography, treatment of keratoconus, advances in the treatment of keratoconus, collagen crosslinking, intrastromal ring, keratoplasty, and new techniques in keratoconus. Results: Various screening methods such as corneal topography, tomography, anterior segment optical coherence tomography, and assessment of corneal biomechanics have been developed to identify KCN in its early stages. After diagnosis, KCN management focuses on preventing disease progression. Corneal collagen crosslinking is a minimally invasive treatment that can slow or stop the progression of the condition. Recent research has also explored the use of copper sulfate eye drops (IVMED-80) as a noninvasive treatment to prevent the progression of KCN. Current treatment options for visual improvement include scleral lenses, intracorneal ring segments, corneal allogeneic intrastromal ring segments, and deep anterior lamellar keratoplasty. Recently, novel alternative procedures, such as isolated Bowman layer transplantation, either as a corneal stromal inlay or onlay, have demonstrated encouraging outcomes. Artificial intelligence has gained acceptance for providing best practices for the diagnosis and management of KCN, and the science of its application is contentiously debated; however, it may not have been sufficiently developed. Conclusions: Early detection and advancements in screening methods using current imaging modalities have improved diagnosis of KCN. Improvement in the accuracy of current screening or diagnostic tests and comparison of their validities are achievable by well-designed, large-scale, prospective studies. The safety and effectiveness of emerging treatments for KCN are currently being investigated. There is an ongoing need for studies to track progress and evaluate clinicians’ knowledge and practices in treating patients with KCN. Artificial intelligence capabilities in management approach considering the currently available imaging modalities and treatment options would best benefit the patient.

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Nagy, Bendeguz Istvan, Balazs Mohos, and Chieh-Han John Tzou. "Imaging Modalities for Evaluating Lymphedema." Medicina 59, no. 11 (2023): 2016. http://dx.doi.org/10.3390/medicina59112016.

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Lymphedema is a progressive condition. Its therapy aims to reduce edema, prevent its progression, and provide psychosocial aid. Nonsurgical treatment in advanced stages is mostly insufficient. Therefore—in many cases—surgical procedures, such as to restore lymph flow or excise lymphedema tissues, are the only ways to improve patients’ quality of life. Imaging modalities: Lymphoscintigraphy (LS), near-infrared fluorescent (NIRF) imaging—also termed indocyanine green (ICG) lymphography (ICG-L)—ultrasonography (US), magnetic resonance lymphangiography (MRL), computed tomography (CT), photoacoustic imaging (PAI), and optical coherence tomography (OCT) are standardized techniques, which can be utilized in lymphedema diagnosis, staging, treatment, and follow-up. Conclusions: The combined use of these imaging modalities and self-assessment questionnaires deliver objective parameters for choosing the most suitable surgical therapy and achieving the best possible postoperative outcome.

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Mills, Jena N., Vivek Mehta, Jonathan Russin, Arun P. Amar, Anandh Rajamohan, and William J. Mack. "Advanced Imaging Modalities in the Detection of Cerebral Vasospasm." Neurology Research International 2013 (2013): 1–15. http://dx.doi.org/10.1155/2013/415960.

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The pathophysiology of cerebral vasospasm following aneurysmal subarachnoid hemorrhage (SAH) is complex and is not entirely understood. Mechanistic insights have been gained through advances in the capabilities of diagnostic imaging. Core techniques have focused on the assessment of vessel caliber, tissue metabolism, and/or regional perfusion parameters. Advances in imaging have provided clinicians with a multifaceted approach to assist in the detection of cerebral vasospasm and the diagnosis of delayed ischemic neurologic deficits (DIND). However, a single test or algorithm with broad efficacy remains elusive. This paper examines both anatomical and physiological imaging modalities applicable to post-SAH vasospasm and offers a historical background. We consider cerebral blood flow velocities measured by Transcranial Doppler Ultrasonography (TCD). Structural imaging techniques, including catheter-based Digital Subtraction Angiography (DSA), CT Angiography (CTA), and MR Angiography (MRA), are reviewed. We examine physiologic assessment by PET, HMPAO SPECT,133Xe Clearance, Xenon-Enhanced CT (Xe/CT), Perfusion CT (PCT), and Diffusion-Weighted/MR Perfusion Imaging. Comparative advantages and limitations are discussed.

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David, Chaya M., Ramya K. Kastala, Namitha Jayapal, and Shanila A. Majid. "Imaging modalities for midfacial fractures." Trauma 19, no. 3 (2017): 175–85. http://dx.doi.org/10.1177/1460408617696524.

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The middle third of the facial skeleton is one of the most complex areas of the human body. A critical factor determining the successful treatment of midfacial fractures is an early and correct diagnosis. Assessment and management of the traumatized patient requires rapid evaluation and decision making. Imaging for the evaluation of patients with midfacial fractures has contributed to achieving an accurate diagnosis and a subsequent successful management. It requires a knowledge of those imaging modalities and projections that provide the most information with the least exposure of radiation to the patient. Conventional radiography has been used successfully for many years although advanced imaging methods such as—three-dimensional computed tomography, magnetic resonance imaging, and cone beam computed tomography have been applied more recently. In this article, we will take a relook at various modalities to image midfacial fractures, and discuss the rationale for selection of those procedures that offer the greatest diagnostic information.

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Vyas, Jatin M. "Insights into dendritic cell function using advanced imaging modalities." Virulence 3, no. 7 (2012): 690–94. http://dx.doi.org/10.4161/viru.22981.

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Thèses sur le sujet "Advanced imaging modalities"

Seyyedi, Saeed [Verfasser], Tobias [Akademischer Betreuer] Lasser, Tobias [Gutachter] Lasser, J. Webster [Gutachter] Stayman, and Franz [Gutachter] Pfeiffer. "Advanced Reconstruction and Noise Reduction Techniques in Four- and Six-Dimensional X-ray Imaging Modalities / Saeed Seyyedi ; Gutachter: Tobias Lasser, J. Webster Stayman, Franz Pfeiffer ; Betreuer: Tobias Lasser." München : Universitätsbibliothek der TU München, 2018. http://d-nb.info/116577318X/34.

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Jambroszyk, Melanie [Verfasser]. "Studies on canine epilepsy : diagnostic workup including advanced imaging techniques and new treatment modalities / vorgelegt von Melanie Jambroszyk." 2008. http://d-nb.info/989599299/34.

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Livres sur le sujet "Advanced imaging modalities"

Rickes, Steffen. Advanced Imaging Modalities. Edited by Steffen Rickes. Karger Bulletin, 2004.

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Keenan, Robert T., Sneha Pai, and Naomi Schlesinger. Imaging of gout. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199668847.003.0043.

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Gout is a systemic metabolic disease. The enzyme urate oxidase (uricase) that catalyses the oxidation of uric acid to the more soluble compound allantoin is inactive in humans. This may lead to hyperuricaemia. Hyperuricaemia is often present for many years prior to clinical signs of gout. Acute attacks occur as a result of an inflammatory response to monosodium urate (MSU) crystal deposition leading to intense pain and inflammation in the affected joints. Uncontrolled hyperuricaemia and resultant gout can evolve into a destructive arthritis. Imaging may be helpful in the diagnosis of gout as well as in monitoring the response to gout treatment. Plain X-rays are widely used for joint imaging in patients with gout. However, plain X-rays of joints affected by gout are frequently normal, especially early in the disease. In these cases, advanced imaging modalities may be useful. Advanced imaging can help evaluate inflammation, structural joint changes, and magnitude of tophaceous deposits. Advanced imaging modalities include computed tomography (CT), dual-energy CT (DECT), magnetic resonance imaging (MRI), and ultrasound (US). CT may be most suitable to evaluate bone changes in gouty joints and DECT to evaluate tophaceous deposits. MRI may best evaluate soft tissues and Inflammation. US is useful during patients’ visits to the rheumatologist and allows evaluation of cartilage, soft tissues, synovium, and tophaceous deposits. This chapter reviews imaging modalities used in gout patients and discusses their application in the diagnosis and management of gout.

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Bendel, Markus A., Drew M. Trainor, and Susan M. Moeschler. Imaging. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190217518.003.0006.

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This chapter focuses on diagnostic and procedural imaging techniques that are essential for the pain medicine practitioner. Attention is given to most modern imaging modalities, including ultrasonography, fluoroscopy, computed tomography, and magnetic resonance imaging. The chapter includes a review of many advanced pain medicine procedures, such as celiac plexus and stellate ganglion blocks. A discussion regarding the use of imaging to elucidate a problem with an implanted intrathecal drug delivery system is included as well. In addition to the procedure suite, this chapter provides a review of common radiological findings that are critical for the proper diagnosis and management of pain patients, including spondylolysis and Modic changes. Special attention is paid to the use of ultrasound in pain medicine, including diagnostic techniques in musculoskeletal disorders. Many questions contain a review of the significant anatomic considerations with each procedural technique.

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Cohen-Inbar, Or, Daniel M. Trifiletti, and Jason P. Sheehan. Stereotatic Radiosurgery and Microsurgery for Brain Metastases. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190696696.003.0024.

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This chapter describes the case of a patient with brain metastases due to metastatic breast cancer. MRI is the best imaging modality for visualizing brain metastases, and advanced techniques such as perfusion imaging and diffusion weighted imaging may provide important additional information beyond standard anatomic imaging. Patients with brain metastases due to systemic cancer may benefit from targeted therapies such as surgery and stereotactic radiosurgery. Understanding the differences between radiation modalities such as stereotactic radiosurgery and whole brain radiotherapy is important for counseling patients.

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Lancellotti, Patrizio, and Bernard Cosyns. Examination. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198713623.003.0001.

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Echocardiography is a diagnostic imaging technique by which ultrasound is used to display anatomic and physiologic characteristics of the cardiovascular system. Echocardiography consists of several different imaging modalities that require appropriate settings. In this chapter the most important system settings are discussed in the context of the basic physics of ultrasound image formation. Setting-up the echo machine to optimize patient examination is discussed in detail. All controls are covered. Continuous-wave, pulsed-wave, and colour flow Doppler are explained, as well as more advanced techniques including myocardial velocity imaging and speckle tracking and 3D imaging. Understanding these basic principles will allow optimizing image quality for each individual patient.

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Neisius, Andreas, Micheal E. Lipkin, Glenn M. Preminger, and James F. Glenn. Stone fragmentation techniques. Edited by John Reynard. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199659579.003.0017.

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After its implementation in 1980, shock wave lithotripsy (SWL) became the first-line treatment for more than 80% of patients with urolithiasis. During the last three decades, SWL technology has advanced rapidly in terms of shock wave generation, focusing, patient coupling, and stone localization. Indications for SWL have evolved as well. Although endoscopic treatment techniques continue to improve, SWL continues to be considered first-line therapy for the treatment of many urinary stones. This chapter reviews the fundamental principles of SWL and presents advances in lithotripsy technology such as shock wave generation and focusing, advances in stone localization (imaging), different energy source concepts, and coupling modalities. Our understanding of the pathophysiology and the physics of shock waves can enhance extracorporeal SWL efficacy while limiting complications. Finally, current indications for and contraindications to SWL depending on stone location and in context of the updated AUA/EAU Guidelines are discussed.

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Badano, Luigi P., Roberto M. Lang, and Alexandra Goncalves. Three-dimensional echocardiography. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0007.

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The advent of fully-sampled matrix array transthoracic transducers has enabled advanced digital processing and improved image formation algorithms and brought three-dimensional echocardiography (3DE) technology into clinical practice. Currently, 3DE is recognized as an important echocardiographic technique, demonstrated to be superior to two-dimensional echocardiography in various clinical scenarios. This chapter focuses on the technology of 3DE matrix transducers, physics of 3D imaging, data set acquisition (multiplane, real-time, full-volume, zoom, and colour), and display (volume rendering, surface rendering and multislice) modalities. The chapter also addresses the issues of training in 3DE, and main clinical indications and reporting of transthoracic and transoesophageal 3DE.

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Safriel, Yair. Clinical Imaging of the Spine. Edited by Mehul J. Desai. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199350940.003.0002.

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Spinal conditions are one of the most common situations necessitating a referral for imaging. As spine therapies advance, there is a greater need for accurate spine imaging. There are four primary modalities used to image the spine: radiography, magnetic resonance imaging, computed tomography, and nuclear imaging. The most important fact to remember is that these modalities are often complementary rather than mutually exclusive. The appropriate use of spine imaging is an evolving topic. Imaging that involves ionizing radiation should be used judiciously. Understanding the intricacies of imaging may allow the physician to make an optimal choice.

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Zamorano, Jose Luis, Jeroen Bax, Juhani Knuuti, et al., eds. The ESC Textbook of Cardiovascular Imaging. 3rd ed. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780198849353.001.0001.

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The ESC Textbook of Cardiovascular Imaging third edition provides extensive coverage of all cardiovascular imaging modalities. Produced in collaboration with the European Association of Cardiovascular Imaging with contributions from specialists across the globe and edited by a distinguished team of experts, it is a ‘state of the art’ clinically orientated imaging reference. The textbook contains information on cutting-edge technical developments in echocardiography, computed tomography (CT), cardiac magnetic resonance (CMR), and hybrid imaging and well imaging’s current role in cardiac interventions, such as identifying cardiac structures, helping to guide procedures, and exclude possible complications. The application of imaging modalities in conditions such as valvular and coronary heart disease, heart failure, cardiomyopathies, peri-myocardial disease, adult congenital heart disease and aortic disease, is also extensively considered. From discussion on improved imaging techniques and advances in technology, to guidance and explanation of key practices and theories, this new edition is the ideal reference guide for cardiologists and radiologists alike.

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Siebert, Stefan, Sengupta Raj, and Alexander Tsoukas. Imaging in axial spondyloarthritis. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198755296.003.0011.

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Imaging has always been a key component in the diagnosis of ankylosing spondylitis as part of the modified New York criteria. With the increased availability of MRI and the development of the ASAS axial spondyloarthritis (axSpA) criteria, there has been a shift from x-ray imaging of structural damage to MRI imaging of inflammation. This information can help in both the diagnosis of axSpA and in guiding treatment decisions in patients with this diagnosis. However, imaging results must be evaluated in the context of the clinical picture and should not be acted on in isolation. Here we review the key imaging modalities used in axSpA, with the main focus on x-rays and MRI of the sacroiliac joints, spine, and peripheral structures. Advances in technology are also likely to lead to the development of even better imaging modalities for axSpA in future.

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Chapitres de livres sur le sujet "Advanced imaging modalities"

Basu, Anupam, and Sobia Hassan. "Advanced Imaging Modalities." In Diagnostic Radiology of the Rheumatic Diseases. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25116-1_2.

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Wölfer, Johannes, and Walter Stummer. "Advanced Imaging Modalities and Treatment of Gliomas: Neurosurgery." In Brain Tumor Imaging. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/174_2014_1023.

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Machicado, Jorge D., Jennifer M. Kolb, and Sachin B. Wani. "Endoscopic Lesion Recognition and Advanced Imaging Modalities." In Gastrointestinal Interventional Endoscopy. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21695-5_1.

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Goetz, Irina, and Anca-Ligia Grosu. "Advanced Imaging Modalities and Treatment of Gliomas: Radiation Therapy." In Brain Tumor Imaging. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/174_2014_1022.

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Rai, Rubal, Ramandeep Singh, Peter F. Hahn, Avinash Kambadakone, and Richard M. Gore. "Imaging Infectious Disease of the Abdomen (Including COVID-19)." In IDKD Springer Series. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27355-1_2.

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AbstractAbdominal infections can prolong hospital stays and lead to high morbidity and mortality. In patients with pre-existing critical illness or other conditions such as cancer and immunosuppression, early diagnosis of abdominal infections can be challenging and are important considerations to prevent life-threatening sepsis and complications. The constellation of predisposing host factors, infectious agents, and site of involvement can lead to a variety of clinical and imaging manifestations. Based on organ system involvement, diverse imaging techniques can be utilized ranging from plain films to cross-sectional and advanced imaging modalities. The purpose of this chapter is to discuss uncommon and common etiologies and imaging manifestations of infections in the abdomen and pelvis with emphasis on the radiological features considering the relevant clinical background and risk factors.

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Pfeiffer, F., M. Bech, T. Jensen, O. Bunk, T. Donath, and C. David. "Phase-Contrast and Dark-Field Imaging - Advanced Contrast Modalities in X-Ray Radiology." In IFMBE Proceedings. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03879-2_74.

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Kang, Heejun, Tabassum A. Kennedy, and Eugene Yu. "Head and Neck Squamous Cell Cancer: Approach to Staging and Surveillance." In IDKD Springer Series. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-50675-8_17.

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AbstractThis chapter addresses the rising global burden of Head and Neck Squamous Cell Cancer (HNSCC), a heterogeneous group of cancers in the upper aerodigestive tract. We focus on the pivotal role of imaging modalities like CT, MRI, PET/CT, and US in the early detection, accurate staging, and management of HNSCC. The discussion includes the nuances of TNM staging, key upstaging features, and the evolving role of advanced imaging techniques such as MR/PET. The chapter highlights significant updates in the AJCC/UICC eighth edition, particularly concerning HPV-related cancers and the depth of invasion in oral cavity SCC. Special attention is given to the challenges in diagnosing Neck Cancer of Unknown Primary (NCUP), underlining the importance of integrated imaging, clinical exam, and molecular markers. Overall, the chapter emphasizes the essential role of radiologists in the comprehensive management of HNSCC, combining imaging insights with clinical findings for optimal patient care.

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Elouerghi, Achraf, Zakaryae Khomsi, and Larbi Bellarbi. "A Review of Recent Medical Imaging Modalities for Breast Cancer Detection: Active and Passive Method." In International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2023). Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52388-5_27.

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Durmaz, Fatma. "Radiological Evaluation of Lung Cancer." In The Radiology of Cancer. Nobel Tip Kitabevleri, 2024. http://dx.doi.org/10.69860/nobel.9786053359364.7.

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Lung cancer stands as a prominent malignancy globally, ranking high in both incidence and mortality rates. It ranks as the second most frequent cancer diagnosis, regardless of gender. Although smoking is the main culprit behind lung cancer, radon and asbestos exposure can also play a role in its pathogenesis. Common symptoms include coughing, shortness of breath, and notably, hemoptysis, with manifestations stemming from local tumors, intrathoracic spread, distant metastases, or paraneoplastic syndromes. The majority of lung cancer diagnoses occur symptomatically, typically at advanced stages, indicative of poor prognosis. Imaging modalities, such as, Computed Tomography (CT), Ultrasonography (US), Magnetic Resonance Imaging (MRI), chest Radiographs, Positron Emission Tomography combined with CT (PET-CT), and bone scintigraphy, play crucial roles in diagnosis and disease staging. Despite the prevalence of advanced-stage presentations, early detection of lung cancer remains paramount, as it offers patients the potential for curative treatment through the implementation of appropriate radiological techniques. Radiologists act as crucial members of the multidisciplinary team dedicated to lung cancer, contributing expertise throughout the patient journey - from initial screening and definitive diagnosis to treatment planning and evaluation of treatment response.

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Turko, Ensar. "Radiological Imaging in Liver Tumors: Diagnosis and Management Strategies." In The Radiology of Cancer. Nobel Tip Kitabevleri, 2024. http://dx.doi.org/10.69860/nobel.9786053359364.14.

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Radiological imaging plays a pivotal role in the comprehensive management of liver tumors, encompassing diagnosis, treatment planning, and monitoring of therapeutic responses. Key imaging modalities utilized include ultrasonography (USG), computed tomography (CT), and magnetic resonance imaging (MRI), each offering distinct advantages and applications. Ultrasonography (USG): Ultrasonography is widely employed due to its accessibility, real-time imaging capabilities, and cost-effectiveness. It is particularly valuable for monitoring benign liver lesions and for guiding interventions such as biopsies. However, its utility can be limited by operator-dependent variability, challenges in obese patients, and interference from bowel gas. USG is less effective in characterizing atypical liver tumors, necessitating complementary cross-sectional imaging for comprehensive evaluation. Computed Tomography (CT) and Magnetic Resonance Imaging (MRI): CT and MRI are indispensable for detailed characterization of liver lesions, leveraging multi-phase contrast-enhanced imaging to highlight vascular and structural features. In CT imaging, the arterial, portal venous, and equilibrium phases provide sequential insights into contrast uptake and washout patterns within tumors. MRI, particularly with hepatocyte-specific contrast agents like gadoxetic acid, enhances hepatocellular uptake visualization, aiding in the differentiation of hepatocellular carcinoma (HCC) from benign lesions and metastases. Benign Liver Tumors: Benign liver tumors include hemangiomas, focal nodular hyperplasia (FNH), hepatocellular adenomas (HCA), lipomas, angiomyolipomas, biliary hamartomas, and biliary cystadenomas. Each tumor type exhibits characteristic imaging features on CT and MRI, such as enhancement patterns, signal intensities on T1-weighted and T2-weighted sequences, and specific contrast agent uptake behaviors. Malignant Liver Tumors: Malignant liver tumors encompass primary hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC), metastases from various primary sites, hepatoblastoma, hepatic angiosarcoma, epithelioid hemangioendothelioma (EHE), and embryonal sarcoma. These tumors present with distinct radiological characteristics, including vascular enhancement patterns, signal intensities on MRI sequences, and specific imaging findings such as ""wash-in/wash-out"" patterns in HCC and ""hypovascular"" features in ICC. Clinical Implications and Advances: Recent advancements in imaging techniques have significantly improved the sensitivity and specificity of liver tumor diagnosis. Techniques such as diffusion-weighted imaging (DWI) provide additional insights into tumor cellularity and microstructural properties, enhancing diagnostic accuracy. Moreover, the integration of advanced imaging protocols and contrast agents has enabled precise treatment planning and monitoring, ultimately improving patient outcomes. In conclusion, radiological imaging remains indispensable in the multidisciplinary approach to liver tumors, facilitating early detection, accurate diagnosis, and tailored treatment strategies based on comprehensive tumor characterization.

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Actes de conférences sur le sujet "Advanced imaging modalities"

Scott, Dave. "Robotic Surgery and the Opportunities for Advanced Imaging Modalities." In Imaging Systems. OSA, 2010. http://dx.doi.org/10.1364/is.2010.iwc5.

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Bidaut, Luc. "Multimodality and Advanced Biomedical Imaging for Clinical and Research Applications." In ASME 2010 First Global Congress on NanoEngineering for Medicine and Biology. ASMEDC, 2010. http://dx.doi.org/10.1115/nemb2010-13314.

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Driven in particular by the availability of ever more refined imaging modalities — such as faster and higher resolution CT and MR, or hybrid PET/CT and SPECT/CT — and by a marked increase in computing power, advanced biomedical imaging — e.g. through its multidimensional and multimodal paradigms — is taking an ever bigger place in both research and clinical routine, and for both diagnostic applications and therapy management. While human modalities are widely publicized, there is a similar plethora of imaging systems for small animals, which permits relatively fast translation of successful image-based protocols from research evaluation to the clinic. Because of their characteristics and the need for more detailed information about normal vs. diseased tissues, modern modalities produce huge amounts of information and images. The only way to digest these is through advanced paradigms that combine or reduce the complexity of the information so that it can be interpreted by normal human beings. This presentation will introduce techniques and research or clinical applications of advanced imaging for both animals and humans.

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Boopathi, Durgadevi. "Imaging Pitfalls and Diagnostic Inhibitions in Various Advanced Head and Neck Imaging Modalities—Diagnostician’s Perspective." In HMAM2. MDPI, 2023. http://dx.doi.org/10.3390/hmam2-14354.

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Han, Ethan, Lauran Evans, Yazeed Alhiyari, Christian Wooten, Brandon Mo, and Maie St. John. "Optical imaging modalities for the detection of head and neck cancer margins." In Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2024, edited by Brian J. F. Wong and Justus F. Ilgner. SPIE, 2024. http://dx.doi.org/10.1117/12.3012640.

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Kouranos, Vasileios, Rakesh Sharma, John Baksi, et al. "Diagnostic and prognostic value of advanced imaging modalities in patients with suspected cardiac sarcoidosis." In ERS International Congress 2016 abstracts. European Respiratory Society, 2016. http://dx.doi.org/10.1183/13993003.congress-2016.pa816.

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Madsen, Andreas Gejl, and Jesper Glückstad. "Speckle-Free CGH Modality for Fully Parallel Circuit Optogenetics." In Digital Holography and Three-Dimensional Imaging. Optica Publishing Group, 2022. http://dx.doi.org/10.1364/dh.2022.w3a.7.

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The powerful neuroscientific discipline of optogenetics can be described as the branch of biotechnology which combines genetic engineering with optics to observe and control the function of genetically targeted groups of cells with light. Using advanced volumetric laser beam-shaping such as new Deep Learning-based Computer Generated Holography (CGH) makes it possible to take advantage of cutting-edge two-photon technology to develop an unprecedented ‘circuit optogenetics’ platform with both high spatio-temporal selectivity and high penetration depth without disturbing speckle-noise in living neural tissue. We will discuss our most recent CGH-encoding modalities designed for fully parallel circuit optogenetics.

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Singh, Anurag, and Prachi Chauhan. "A REVIEW ON BRAIN TUMOR MRI IMAGE SEGMENTATION." In Computing for Sustainable Innovation: Shaping Tomorrow’s World. Innovative Research Publication, 2024. http://dx.doi.org/10.55524/csistw.2024.12.1.53.

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A brain tumor represents one of the most perilous medical conditions. Consequently, swift and precise detection of brain tumors is imperative. Employing automated techniques for identifying brain tumor tissue aids in containing the proliferation of tumor cells within the system. MRI technology is utilized to capture high-resolution images of both the individual's anatomy and cancerous tissues, offering superior image quality compared to other imaging modalities. However, pinpointing brain tumors in MRI images poses challenges due to the intricate nature of the brain. Processing MRI images and segmenting brain tumors therein constitute complex tasks. Automated segmentation in image processing serves as a method for partitioning an image into distinct regions. This process stands as a critical and indispensable phase in the analysis of brain tumor magnetic resonance imaging. Moreover, the utilization of advanced image processing techniques facilitates the enhancement of MRI images, improving their clarity and aiding in the identification of subtle abnormalities associated with brain tumors. This enhanced image quality is particularly crucial for detecting small or deeply situated tumors that may otherwise go unnoticed.

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Wilson, Ronald, Domenic Forte, Navid Asadizanjani, and Damon L. Woodard. "LASRE: A Novel Approach to Large area Accelerated Segmentation for Reverse Engineering on SEM images." In ISTFA 2020. ASM International, 2020. http://dx.doi.org/10.31399/asm.cp.istfa2020p0180.

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Abstract In the hardware assurance community, Reverse Engineering (RE) is considered a key tool and asset in ensuring the security and reliability of Integrated Circuits (IC). However, with the introduction of advanced node technologies, the application of RE to ICs is turning into a daunting task. This is amplified by the challenges introduced by the imaging modalities such as the Scanning Electron Microscope (SEM) used in acquiring images of ICs. One such challenge is the lack of understanding of the influence of noise in the imaging modality along with its detrimental effect on the quality of images and the overall time frame required for imaging the IC. In this paper, we characterize some aspects of the noise in the image along with its primary source. Furthermore, we use this understanding to propose a novel texture-based segmentation algorithm for SEM images called LASRE. The proposed approach is unsupervised, model-free, robust to the presence of noise and can be applied to all layers of the IC with consistent results. Finally, the results from a comparison study is reported, and the issues associated with the approach are discussed in detail. The approach consistently achieved over 86% accuracy in segmenting various layers in the IC.

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Yang, Fan, Qian Mao, Menghan Shi, Fangling Xie, and Ka Wei Eric Cheng. "Enhancing Ultrasound Imaging through Convolutional Neural Networks: A Health Informatics Approach." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005073.

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Ultrasound imaging, a linchpin in diagnostic medicine, delivers invaluable non-invasive insights into anatomical structures and physiological processes. Despite its widespread application, challenges persist in interpreting ultrasound images due to inherent noise, artifacts, and variations in acquisition conditions. Traditional ultrasound imaging, while invaluable, faces limitations such as lower spatial resolution, susceptibility to noise interference, and challenges in distinguishing subtle abnormalities. The research introduces an innovative approach in health informatics, harnessing the transformative potential of Convolutional Neural Networks (CNNs) to profoundly elevate the clarity and diagnostic utility of ultrasound imaging. The principal objective of this study is to systematically address existing challenges in traditional ultrasound imaging by leveraging deep learning, specifically CNNs. Our approach deploys advanced image processing techniques to significantly enhance the accuracy, resolution, and overall interpretability of ultrasound scans. To achieve this, we propose the implementation of a robust CNN architecture meticulously trained on a diverse dataset of ultrasound images. This architectural design not only enables the CNN to learn intricate patterns and features inherent in ultrasound images but also facilitates intelligent denoising, artifact reduction, and enhancement of anatomical structure visualization. Transfer learning techniques are strategically explored to optimize model performance across different imaging modalities and patient demographics, ensuring versatility and widespread applicability. Moreover, this adaptability has the potential to alleviate the computational burden associated with training large AI models. The initial focus is on denoising, where the CNN is trained to intelligently filter out noise, resulting in clearer and diagnostically valuable ultrasound images. Simultaneously, the model is trained to identify and mitigate common artifacts, such as shadowing and reverberation, significantly enhancing image fidelity. The CNN's capacity for learning hierarchical representations is harnessed to improve the spatial resolution of ultrasound scans. This enhancement proves crucial in aiding the detection of subtle abnormalities, thereby elevating diagnostic accuracy to new heights. Furthermore, the proposed CNN architecture is meticulously designed for adaptability across various ultrasound machines, ensuring seamless integration into diverse clinical settings. This adaptability reinforces its potential to become a standard tool in routine clinical practices. This research envisions the development of an advanced ultrasound imaging tool that seamlessly integrates into existing clinical workflows. The CNN-enhanced ultrasound images are poised to empower healthcare professionals with clearer, more informative visuals, ultimately leading to improved diagnostic accuracy and enhanced patient outcomes. The integration of CNNs into ultrasound imaging represents a significant leap forward in health informatics and biomedical engineering. This approach has the transformative potential to revolutionize routine clinical practices, making ultrasound diagnostics more accessible, reliable, and conducive to enhanced patient care. The intersection of deep learning and ultrasound imaging presents a paradigm shift, laying the groundwork for a new era in medical diagnostics. In the pursuit of advancing healthcare technology, this study heralds a future where the synergy of artificial intelligence and ultrasound imaging sets unprecedented standards in diagnostic precision and patient care.

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Thawani, Chetna, and Kishan Patel. "An Unusual ED Case: Spontaneous Necrotizing Fasciitis Presenting as Hypoxic Pneumonia." In 27th Annual Rowan-Virtua Research Day. Rowan University Libraries, 2023. https://doi.org/10.31986/issn.2689-0690_rdw.stratford_research_day.99_2023.

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We present a case of necrotizing fasciitis initially presenting as septic hypoxic pneumonia, and discuss imaging modalities and diagnostic evaluation. Necrotizing soft tissue infection (NSTI) is a rapidly progressive surgical emergency with a mortality rate of 30%. In approximately 80% of cases, it is introduced through a break in the skin. It can also occur after any invasive procedure or surgery. It is most commonly associated with skin flora including staph and strep, though polymicrobial infections are most common. It usually presents with signs of systemic infection, including fever, chills, sepsis, altered mental status - and signs of cutaneous involvement on physical exam, including erythema / discoloration, sloughing and blistering, and pain out of proportion to exam, and crepitus. The crepitus or findings of subcutaneous emphysema on imaging are due to gas-producing bacteria from polymicrobial infection. Blood work can help support the diagnosis of a systemic infection, including things like elevated white blood cell count, elevated lactic acidosis, and other systemic inflammatory markers. Imaging can show signs of free air, particularly on x-ray, ultrasound, or CT. Poor prognosis is associated with comorbidities, advanced age, immunocompromised state, shock. The definitive treatment is early surgical debridement of the necrosed tissue, and antibiotics. Surgical exploration usually confirms the diagnosis, with foul gray fluid expressed, necrosis and gangrene of underlying tissues and muscles, and friability of muscles on dissection. Hypoxia and tachypnea can have a broad differential diagnosis, including but not limited to reactive airway disease, heart failure, pneumonia, pulmonary emboli. In the setting of fever and cough, a working clinical diagnosis of pneumonia can be considered.

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