Background: Bladder cancer (BC) segmentation on MRI images is the first step to determining the presence of muscular invasion. This study aimed to assess the tumor segmentation performance of three deep learning (DL) models on multi-parametric MRI (mp-MRI) images.
Methods: We studied 53 patients with bladder cancer.
Purpose: Magnetic Resonance Imaging (MRI) evaluation of recurrent prostate cancer (PCa) following proton beam therapy is challenging due to radiation-induced tissue changes. This study aimed to evaluate MRI-based radiomic features so as to identify the recurrent PCa after proton therapy.
Methods: We retrospectively studied 12 patients with biochemical recurrence (BCR) following proton therapy.
Curr Urol
December 2023
Extramural venous invasion (EMVI) recognized on magnetic resonance imaging (MRI) is an unequivocal biomarker for detecting adverse outcomes in rectal cancer: however it has not yet been explored in the area of bladder cancer. In this study, we assessed the feasibility of identifying EMVI findings on MRI in patients with bladder cancer and its avail in identifying adverse pathology. In this single-institution retrospective study, the MRI findings inclusive of EMVI was described in patients with bladder cancer that had available imaging between January 2018 and June 2020.
View Article and Find Full Text PDFIntroduction: Care fragmentation may influence oncologic outcomes. The impact of care fragmentation on the outcomes of patients receiving neoadjuvant chemotherapy (NAC) and radical cystectomy (RC) for muscle-invasive bladder cancer (MIBC) is not well defined. We aimed to compare outcomes between patients who received fragmented care (FC) versus non-fragmented care (NFC).
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