Research Presentation Sessions: Genitourinary

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 - William Stevens, Bradford / UK

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 - William Stevens, Bradford / UK

08:00

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 - William Stevens, Bradford / UK

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 - William Stevens, Bradford / UK

08:00

3
In-bore robot assisted MRI guided target biopsy of the prostate: our experience - Rogier Van Stiphout, Roermond / NL

In-bore robot assisted MRI guided target biopsy of the prostate: our experience - Rogier Van Stiphout, Roermond / NL

08:00

4
Machine learning-based multimodal data analysis for optimised treatment planning and surgical outcome prediction of prostate cancer patients - Mahnoosh Naeimi, Mannheim / DE

Machine learning-based multimodal data analysis for optimised treatment planning and surgical outcome prediction of prostate cancer patients - Mahnoosh Naeimi, Mannheim / DE

08:00

5
Vulnerability of radiomics machine learning models for the detection of clinically significant prostate cancer in heterogeneous MRI datasets - Balthasar Schachtner, Munich / DE

Vulnerability of radiomics machine learning models for the detection of clinically significant prostate cancer in heterogeneous MRI datasets - Balthasar Schachtner, Munich / DE

08:00

6
Convolutional neural networks for automated classification of prostate multiparametric magnetic resonance imaging based on image quality - Emanuele Messina, Rome / IT

Convolutional neural networks for automated classification of prostate multiparametric magnetic resonance imaging based on image quality - Emanuele Messina, Rome / IT

08:00

7
A deep learning masked segmentation alternative to manual segmentation in biparametric MRI prostate cancer radiomics - Jeroen Bleker, Groningen / NL

A deep learning masked segmentation alternative to manual segmentation in biparametric MRI prostate cancer radiomics - Jeroen Bleker, Groningen / NL

08:00