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Relevant bibliographies by topics / Staging wrong diagnosis

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Academic literature on the topic 'Staging wrong diagnosis'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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Journal articles on the topic "Staging wrong diagnosis"

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S, Janakiraman, and Priyadharshini K. "Enhancing Lung Cancer Diagnosis: A Classification Based Machine Learning approach." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 7429–35. https://doi.org/10.22214/ijraset.2025.71901.

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Abstract: Out of all types of cancer in the world, lung cancer is one of the biggest killers and is classified as either non-small cell (NSCLC) or small cell (SCLC). Making sure lung cancer is properly staged is necessary for making a good treatment plan and for understanding prognosis. Most lung cancer staging today involves seeing and reading CT images by hand which requires much time, may lead to errors and strongly depends on how skilled the radiologist is. Such limitations frequently mean that patients are diagnosed later and treated in suboptimal ways. The project here suggests an innova

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Rahman, Hafizur. "Elast PQ Ultrasound - a Noninvasive, Reproducible, Easily Performed Method and a New Era in Liver Fibrosis Assessment." Faridpur Medical College Journal 13, no. 1 (2018): 44–46. http://dx.doi.org/10.3329/fmcj.v13i1.38019.

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Liver fibrosis represents the repair mechanism in liver injury and is a feature of most chronic liver diseases. The degree of liver fibrosis in chronic viral hepatitis infection has major clinical implications and presence of advanced fibrosis or cirrhosis determines prognosis. Treatment initiation for viral hepatitis is indicated in most cases of advanced liver fibrosis and diagnosis of cirrhosis entails hepatology evaluation for specialized clinical care. Liver biopsy is an invasive technique and has been the standard of care of fibrosis assessment for years; however, it has several limitati

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Balbo-Musetto, Annalisa, Riccardo Bruna, Angela Gueli, et al. "Whole Body Magnetic Resonance Imaging with Diffusion Weighted Imaging Is a Valuable Alternative to Contrast-Enhanced Computed Tomography for the Initial Staging in Hodgkin’s and Non-Hodgkin’s Lymphoma." Blood 124, no. 21 (2014): 1278. http://dx.doi.org/10.1182/blood.v124.21.1278.1278.

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Abstract Background. The assessment of nodal and extranodal involvement in Hodgkin’s (HL) and non-Hodgkin’s (NHL) lymphoma is mostly performed by Computed Tomography with i.v. iodinated contrast agent (CE-CT) and 18F-FDG Positron Emission Tomography (PET), along with bone marrow (BM) biopsy. Both CE-CT and 18F-FDG-PET require the delivery of considerable dose of ionizing radiation, that may be of concern given the increased risk of secondary malignancies in long surviving patients. Whole body Magnetic Resonance Imaging (Wb-MRI) is a novel and promising radiation-free technique and the developm

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Singh, Prabhsimranjot, Sudhamshi Toom, Makardhwaj S. Shrivastava, et al. "Synchronous Hodgkin's Lymphoma and Seminoma, a Rare Co-Existence and an Important Lesson." Blood 128, no. 22 (2016): 5318. http://dx.doi.org/10.1182/blood.v128.22.5318.5318.

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Abstract Introduction: Second malignancies, including lymphoma, occur at a higher incidence in men previously treated for germ cell tumors than in the general population (1). Synchronous presentation of seminoma and lymphoma is rare but has important ramifications for the treatment of both malignancies. Without clinical vigilance this situation may be easily missed, leading to inappropriate management of each cancer. We describe a patient found to have synchronous seminoma and Hodgkin Lymphoma and discuss the effects of the dual diagnoses on his evaluation and care. Case presentation: A 59 yea

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Stiggelbout, Chloe, Megan Real-Hall, Innocent Mutyaba, et al. "Pathologic Misdiagnosis in Children with Suspected Burkitt Lymphoma Associated with Early Mortality." Blood 132, Supplement 1 (2018): 2271. http://dx.doi.org/10.1182/blood-2018-99-116263.

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Abstract INTRODUCTION Burkitt lymphoma (BL) is one of the most common childhood cancers across sub-Saharan Africa (Walusansa et. al, 2012). Unfortunately, the one-year survival rate of children with BL treated in low- and middle- income countries (LMICs) remains low, compared to higher-resource settings (Howard et al., 2008, Stanley et al., 2016, Buckle et al., 2016). Factors in LMICs contributing to this disparity include inability to give high-dose chemotherapy, lack of supportive care measures, and treatment abandonment (Gopal, 2018). The impact of diagnostic inaccuracies on BL outcome has

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Okpaleke, Michael Sunday, Adaora Doreen Nwajagu, Ezechukwu uche, Daniel Chimuanya Ugwuanyi, and Michael Promise Ogolodom. "PERCEPTION OF MAMMOGRAPHY EXAMINATION BY MIDDLE-AGED WOMEN IN PUBLIC SCHOOLS IN NNEWI NORTH LOCAL GOVERNMENT AREA, NIGERIA." Nigerian Journal of Medical Imaging and Radiation Therapy 11, no. 1 (2022): 12–21. https://doi.org/10.5281/zenodo.6480429.

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<strong>PERCEPTION OF MAMMOGRAPHY EXAMINATION BY MIDDLE-AGED WOMEN IN PUBLIC SCHOOLS IN NNEWI NORTH LOCAL GOVERNMENT AREA,  ANAMBRA STATE, NIGERIA.</strong>                                                            <strong>OKPALEKE MICHAEL SUNDAY <sup>1 </sup>NWAJAGU ADAORA DOREEN <sup>1</sup>, UCHE EZE

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Tirelli, Claudio, Chandra Bortolotto, Patrizia Morbini, and Giulia Maria Stella. "Case Report: All That Glisters Is Not* Cancer." Frontiers in Medicine 7 (November 30, 2020). http://dx.doi.org/10.3389/fmed.2020.541629.

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Properly performed staging in non-small-cell lung cancer (NSCLC) is necessary to avoid wrong therapeutic decisions. Here we present a case which manifested as advanced NSCLC but ultimately was composed of two different and rare pathologies. The first is a TTF-1 positive axillary lymph node that could be defined either as an unusual isolated differentiated cancer of unknown primary or as an even rarer case of ectopic lung epithelium which underwent malignant transformation. The second is sarcoidosis, a sarcoid-like alteration, in remission after oral steroids. The main implication of a correct

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Meng, Shuqiao, Wenxia Tong, and Shanshan Han. "Application of X-ray image measurement in the early diagnosis of sports injury of ankle ligament." Pakistan Journal of Medical Sciences 37, no. 6-WIT (2021). http://dx.doi.org/10.12669/pjms.37.6-wit.4841.

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Objectives: To study the value of X-ray analysis method of ankle fracture based on injury mechanism to improve the imaging diagnosis level of ankle fracture. Methods: This study was conducted from January 2016 to December 2019. It included 105 cases of fractures caused by sprained ankle joints. Their age was between 21-81 years with an average of 49.5 years, The traditional X-ray analysis method (Group-A) and the injury mechanism-based ankle fracture X-ray analysis method (Group-B) were used to analyze X-ray image data. Group-B also performed Weber classification and Lauge-Hansen classif

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Gündoğdu, Elif, Fatma Didem Bayav, İhsan Burak Karakaya, Barış Türker, and İlter Özer. "Main Portal Vein Diameter Changes in Patients Undergoing Gastric Surgery for Malignancy: An Observational CT Study." Indian Journal of Radiology and Imaging, October 10, 2023. http://dx.doi.org/10.1055/s-0043-1775739.

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Abstract Background In the follow-up computed tomography (CT) examinations of patients who had undergone gastrectomy for gastric malignancy in our center, we noticed by chance that there was an isolated increase in the diameter of the main portal vein (MPV) without other radiological findings of portal hypertension. Objectives In this study, we aimed to evaluate whether the MPV diameter of patients who had gastric surgery for malignancy differed in the preoperative and postoperative periods and its change over time in patients who underwent postoperative follow-up examinations. Materials and M

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Нагибина, М. В., А. И. Мазус, Н. А. Смирнов, et al. "Leishmaniasis in HIV-infected patients: difficulties in diagnostics and treatment." Лечащий врач, no. 12(24) (December 30, 2021). http://dx.doi.org/10.51793/os.2021.24.12.011.

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В статье представлены клинические случаи лейшманиоза, которые проанализированы в контексте течения ВИЧ-инфекции, при которой лейшманиоз выступает в роли оппортунистического заболевания. Дана общая характеристика лейшманиоза, а также отмечены особенности течения этой инфекции на фоне приобретенного иммунодефицита. Рассмотрены вопросы диагностики и лечения лейшманиоза, смертность при котором остается достаточно высокой. Значительная распространенность ВИЧ-инфекции в мире, ежегодно увеличивающийся туристический поток в эндемичные страны, а также увеличение эндемичных очагов на территории РФ в свя

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Dissertations / Theses on the topic "Staging wrong diagnosis"

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Коротун, В. Р. "Проблемы и перспективы развития современной медицины". Thesis, Сумский государственный университет, 2017. http://essuir.sumdu.edu.ua/handle/123456789/64978.

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На данном этапе жизни, когда все сферы социальной инфраструктуры невероятно развиты, когда каждый имеет свободный доступ к полноценному получению знаний и профессиональных навыков, актуальной является проблема правильной диагностики заболеваний, поиска адекватных современных методов лечения, что в значительной степени зависит от уровня квалификации и опыта медицинских работников. Эта проблема влечет за собой повышенную заболеваемость и огромное количество неизлечимых патологий, что с каждым годом продолжает расти и развиваться.

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Book chapters on the topic "Staging wrong diagnosis"

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Nancy V., Auxilia Osvin, P. Prabhavathy, Meenakshi S. Arya, and B. Shamreen Ahamed. "Comparative Analysis and Automated Eight-Level Skin Cancer Staging Diagnosis in Dermoscopic Images Using Deep Learning." In Meta-Learning Frameworks for Imaging Applications. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-7659-8.ch007.

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The challenge in the predictions of skin lesions is due to the noise and contrast. The manual dermoscopy imaging procedure results in the wrong prediction. A deep learning model assists in detection and classification. The structure in the proposed handles CNN architecture with the stack of separate layers that use a differential function to transform an input volume into an output volume. For image recognition and classification, CNN is specifically powerful. The model was trained using labeled data with the appropriate class. CNN studies the relationship between input features and class labe

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