OBJECTIVES: To assess Prostate Imaging Reporting and Data System (PI-RADS)-trained deep learning (DL) algorithm performance and to investigate the effect of data size and prior knowledge on the detection of clinically significant prostate cancer (csP...
BACKGROUND: Due to the low cancer-detection rate in patients with PIRADS category 3 lesions, we created machine learning (ML) models to facilitate decision-making about whether to perform prostate biopsies or monitor clinical information without biop...
Journal of magnetic resonance imaging : JMRI
Nov 13, 2021
BACKGROUND: Deep learning-based reconstruction (DLR) can potentially improve image quality by reduction of noise, thereby enabling fast acquisition of magnetic resonance imaging (MRI). However, a systematic evaluation of image quality and diagnostic ...
Automated methods for detecting prostate cancer and distinguishing indolent from aggressive disease on Magnetic Resonance Imaging (MRI) could assist in early diagnosis and treatment planning. Existing automated methods of prostate cancer detection mo...
BACKGROUND: Focal therapy (FT) for prostate cancer is less invasive than radical treatment but carries a risk of recurrence. Salvage robot-assisted radical prostatectomy (S-RARP) is a possible option after FT failure.
PURPOSE: To compare image quality in prostate MRI among standard T2-weighted imaging (T2-std), accelerated T2-weighted imaging (T2WI) with high resolution (T2-HR) and more accelerated T2WI with lower resolution (T2-LR) using both conventional reconst...
This study aims to compare perioperative and oncologic outcomes between matched cohorts of localized prostate cancer (PCa) operated on by the same surgeon using the da Vinci Si robot and the Revo-i robot. Nonmetastatic PCa patients undergoing Retzi...
We evaluated the feasibility and impact on short- and long-term functional outcomes of very early catheter removal on postoperative day (POD) 2 after robot-assisted radical prostatectomy (RARP). To the best of our knowledge, this is the first multisu...
Prostate cancer is a significant cause of morbidity and mortality in the USA. In this paper, we develop a computer-aided diagnostic (CAD) system for automated grade groups (GG) classification using digitized prostate biopsy specimens (PBSs). Our CAD ...
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