Research Presentation Sessions: Genitourinary
RPS 707 - Prostate cancer: will we ever be replaced by machines and urologists?
Lectures
1
The first 5 targeted trans-perineal prostate biopsies diagnose the majority of PROMIS criteria cancer in patients with a Likert 4 or 5 score on mpMRI
08:00William Stevens, Bradford / UK
2
Is Likert scoring of mpMRI scans for suspected prostate cancer different from PI-RADSv2.1 scoring? 5 reporters compare overall scores, number of equivocal cases and predicted biopsy cancer yields
08:00William Stevens, Bradford / UK
3
In-bore robot assisted MRI guided target biopsy of the prostate: our experience
08:00Rogier Van Stiphout, Roermond / NL
4
Machine learning-based multimodal data analysis for optimised treatment planning and surgical outcome prediction of prostate cancer patients
08:00Mahnoosh Naeimi, Mannheim / DE
5
Vulnerability of radiomics machine learning models for the detection of clinically significant prostate cancer in heterogeneous MRI datasets
08:00Balthasar Schachtner, Munich / DE
6
Convolutional neural networks for automated classification of prostate multiparametric magnetic resonance imaging based on image quality
08:00Emanuele Messina, Rome / IT
7
A deep learning masked segmentation alternative to manual segmentation in biparametric MRI prostate cancer radiomics
08:00Jeroen Bleker, Groningen / NL
Jurgen J. Futterer
Nijmegen / Netherlands
William Mark Stevens
Bradford / United KingdomRogier Van Stiphout
Roermond / NetherlandsMahnoosh Naeimi
Mannheim / GermanyBalthasar Schachtner
Munich / GermanyEmanuele Messina
Rome / ItalyJeroen Bleker
Groningen / Netherlands