Purpose: The aim of study is to assess the role of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and correlation with tumour angiogenesis in evaluation of urinary bladder cancer.
Material And Methods: The study included 81 patients with recent presumed diagnosis of bladder tumour or who came for follow up after management of histopathologically proven bladder cancer. All had DCE-MRI with time-signal intensity curve. The radiologic results then correlated with the histopathologic results using both haematoxylin and eosin stain and immuno-histochemical staining for localization and evaluation of CD34 immunoreactivity as a detector for the microvessel density (MVD) and tumour angiogenesis.
Results: Seventy-one cases were pathologically proven to be malignant: 41 cases (58%) showed type III time-signal intensity curve (descending); 22 cases (31%) showed type II (plateau); and 8 cases (11%) showed type I (ascending) curve. The sensitivity of DCE-MRI in stage T1 bladder tumour was 80%; in stage T2, it was (90.9%); and in stage T3, it was (96.9%). Overall accuracy of DCE-MRI in tumour staging was 89.5% and P = .001 (significant). Values more than the cutoff value = 76.13 MVD are cystitis with sensitivity (90%), specificity (91%), and P value is .001, which is statistically highly significant.
Conclusion: There is a strong positive association between DCE-MRI (staging and washout slope of the time-signal intensity curve) with histopathologic grade, tumour stage, and MVD in bladder cancer. So, DCE-MRI can be used as reliable technique in preoperative predictions of tumour behavior and affect the planning of antiangiogenetic therapy.
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http://dx.doi.org/10.1016/j.carj.2018.11.004 | DOI Listing |
Discov Oncol
January 2025
Institute of Clinical Medicine, Surgery, University of Eastern Finland, Kuopio, Finland.
Purpose: This retrospective single-center study aimed to determine the correlation between The Paris System (TPS) urine cytology classification, cystoscopy findings, and non-muscle-invasive bladder cancer diagnosis. In addition, we sought to identify factors that might explain the abnormal cytology classification in cases in which no malignancy was detected.
Methods: A Total of 855 patients evaluated with urine cytology between 2017 and 2020 at Kuopio University Hospital were included.
Urologie
January 2025
Urologische Klinik und Poliklinik, Klinikum der Universität München, Ludwig-Maximilians-Universität München, München, Deutschland.
Cancer Genet
January 2025
Biology and Medical Research Unit, CNESTEN, Rabat, Morocco.
The transcription factor TWIST1 is a major regulator of Epithelial-Mesenchymal Transition, enhancing cancer cell mobility and invasive potential. Overexpression of TWIST1 is associated with tumor progression and poor prognosis. In our study, we explored the role of TWIST1 as both a prognostic biomarker and a therapeutic target in bladder cancer (BC), as well as the relationship between its promoter methylation and mRNA expression in bladder cancer patients.
View Article and Find Full Text PDFWorld J Urol
January 2025
Department of Urology, University of Health Sciences, Bagcilar Training and Research Hospital, Istanbul, 34200, Turkey.
Purpose: As Bladder EpiCheck (BE) is a promising urinary biomarker for diagnosis and follow up of non-muscle-invasive bladder cancer (NMIBC), there are no studies evaluated this tool for second transurethral resection (TUR) indication. We aim to evaluate the performance of BE in predicting residual tumor before second TUR in NMIBC and its effects on clinical decision making.
Methods: A total of 50 patients who were diagnosed with NMIBC and indicated for a second TUR were included in the study prospectively.
J Appl Clin Med Phys
January 2025
Department of Radiation Medicine and Applied Sciences, UC San Diego Health, La Jolla, California, USA.
Purpose: Daily online adaptive radiotherapy (ART) improves dose metrics for gynecological cancer patients, but the on-treatment process is resource-intensive requiring longer appointments and additional time from the entire adaptive team. To optimize resource allocation, we propose a model to identify high-priority patients.
Methods: For 49 retrospective cervical and endometrial cancer patients, we calculated two initial plans: the treated standard-of-care (Initial) and a reduced margin initial plan (Initial) for adapting with the Ethos treatment planning system.
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