AIMC Topic: Prostate

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Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction.

Nature communications
Unreliable predictions can occur when an artificial intelligence (AI) system is presented with data it has not been exposed to during training. We demonstrate the use of conformal prediction to detect unreliable predictions, using histopathological d...

A Brief Review of Artificial Intelligence in Genitourinary Oncological Imaging.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Genitourinary (GU) system is among the most commonly involved malignancy sites in the human body. Imaging plays a crucial role not only in diagnosis of cancer but also in disease management and its prognosis. However, interpretation of conventional i...

Predictive factors of de novo overactive bladder in clinically localized prostate cancer patients after robot-assisted radical prostatectomy.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVES: To assess the postoperative status of clinically localized prostate cancer patients who underwent robot-assisted radical prostatectomy (RARP) with a focus on de novo overactive bladder (OAB).

Correlation between extended pelvic lymph node dissection and urinary incontinence at early phase after robot-assisted radical prostatectomy.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVES: To investigate the impact of extended pelvic lymph node dissection (ePLND) on urinary incontinence (UI) at early post-surgery robot-assisted radical prostatectomy (RARP).

Development of a Prediction Model for Positive Surgical Margin in Robot-Assisted Laparoscopic Radical Prostatectomy.

Current oncology (Toronto, Ont.)
A positive surgical margin (PSM) is reported to have some connection to the occurrence of biochemical recurrence and tumor metastasis in prostate cancer after the operation. There are no clinically usable models and the study is to predict the probab...

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...