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...
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Dec 14, 2022
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...
International journal of urology : official journal of the Japanese Urological Association
Dec 13, 2022
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).
International journal of urology : official journal of the Japanese Urological Association
Dec 7, 2022
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).
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...
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...
Prostate cancer and prostatic diseases
Nov 29, 2022
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...
European journal of nuclear medicine and molecular imaging
Nov 21, 2022
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...
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