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Prostatic Neoplasms

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PI-RADS v2 Findings of MRI and Positive Biopsy Core Percentage would Predict Pathological Extraprostatic Extension in Patients who Underwent Robot Assisted Radical Prostatectomy: A Retrospective Study.

Urology journal
PURPOSE: This study aimed to examine whether preoperative Prostate Imaging Reporting and Data System v2 (PI-RADS v2) can predict pathological extracapsular extension (EPE) after radical prostatectomy. We also studied the preoperative factors which ca...

Retzius-sparing vs. standard robot-assisted radical prostatectomy for clinically localised prostate cancer: a comparative study.

Prostate cancer and prostatic diseases
BACKGROUND: Retzius-sparing robot-assisted radical prostatectomy (RARP) is not yet universally accepted due to still limited functional data and some concerns on oncological safety compared to the standard one. We assessed perioperative, pathological...

Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study.

European journal of nuclear medicine and molecular imaging
PURPOSE: This study aimed to develop deep learning (DL) models based on multicentre biparametric magnetic resonance imaging (bpMRI) for the diagnosis of clinically significant prostate cancer (csPCa) and compare the performance of these models with t...

Deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI.

European radiology
OBJECTIVES: Prostate volume (PV) in combination with prostate specific antigen (PSA) yields PSA density which is an increasingly important biomarker. Calculating PV from MRI is a time-consuming, radiologist-dependent task. The aim of this study was t...

Open retropubic radical prostatectomy: Still a well-established surgical technique for prostate cancer management.

Actas urologicas espanolas
INTRODUCTION: The surgical treatment options for prostate cancer have changed rapidly, given the expansion of robotics. However, open retropubic radical prostatectomy (ORP) will continue to be performed in areas with financial limitations or with lim...

Novel artificial intelligent transformer U-NET for better identification and management of prostate cancer.

Molecular and cellular biochemistry
Advancements in artificial intelligence (AI) strengthens life-altering technology that can not only reduce human workload but also enhance speed and efficiency in medicine. Medical image segmentation, for example, MRI analysis, is an arduous task for...

Patient-specific transfer learning for auto-segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi-centric evaluation.

Medical physics
BACKGROUND: Online adaptive radiation therapy (RT) using hybrid magnetic resonance linear accelerators (MR-Linacs) can administer a tailored radiation dose at each treatment fraction. Daily MR imaging followed by organ and target segmentation adjustm...

A deep learning network for Gleason grading of prostate biopsies using EfficientNet.

Biomedizinische Technik. Biomedical engineering
OBJECTIVES: The most crucial part in the diagnosis of cancer is severity grading. Gleason's score is a widely used grading system for prostate cancer. Manual examination of the microscopic images and grading them is tiresome and consumes a lot of tim...