Classification of cancer at prostate MRI: deep learning versus clinical PI-RADS assessment

P Schelb, S Kohl, JP Radtke, M Wiesenfarth… - Radiology, 2019 - pubs.rsna.org
Background Men suspected of having clinically significant prostate cancer (sPC)
increasingly undergo prostate MRI. The potential of deep learning to provide diagnostic …

Contribution of dynamic contrast-enhanced and diffusion MRI to PI-RADS for detecting clinically significant prostate cancer

AA Tavakoli, T Hielscher, P Badura, M Görtz, TA Kuder… - Radiology, 2023 - pubs.rsna.org
Background Prostate Imaging Reporting and Data System (PI-RADS) version 2.0 requires
multiparametric MRI of the prostate, including diffusion-weighted imaging (DWI) and …

Histotripsy: the next generation of high‐intensity focused ultrasound for focal prostate cancer therapy

TJ Dubinsky, TD Khokhlova… - … of Ultrasound in …, 2020 - Wiley Online Library
This article reviews the most current methods and technological aspects of high‐intensity
focused ultrasound (HIFU), which is termed histotripsy. The rationale for focal therapy for …

Detection of significant prostate cancer using target saturation in transperineal magnetic resonance imaging/transrectal ultrasonography–fusion biopsy

S Tschirdewahn, M Wiesenfarth, D Bonekamp… - European urology …, 2021 - Elsevier
Background Multiparametric magnetic resonance imaging (mpMRI) and targeted biopsies
(TBs) facilitate accurate detection of significant prostate cancer (sPC). However, it remains …

The value of prostate-specific antigen density for Prostate Imaging-Reporting and Data System 3 lesions on multiparametric magnetic resonance imaging: a strategy to …

M Görtz, JP Radtke, G Hatiboglu, V Schütz… - European urology …, 2021 - Elsevier
Background Multiparametric magnetic resonance imaging (mpMRI) has excellent sensitivity
in detecting significant prostate cancer (sPC). Nevertheless, uncertainty exists regarding the …

There is no way to avoid systematic prostate biopsies in addition to multiparametric magnetic resonance imaging targeted biopsies

P Dell'Oglio, A Stabile, M Soligo, G Brembilla… - European urology …, 2020 - Elsevier
Background Whether or not adding systematic biopsies (transrectal ultrasound-guided
biopsy [TRUS-Bx]) to targeted cores in patients with a lesion detected at multiparametric …

[HTML][HTML] Comparison of prostate MRI lesion segmentation agreement between multiple radiologists and a fully automatic deep learning system

P Schelb, AA Tavakoli, T Tubtawee… - RöFo-Fortschritte auf …, 2021 - thieme-connect.com
Purpose A recently developed deep learning model (U-Net) approximated the clinical
performance of radiologists in the prediction of clinically significant prostate cancer (sPC) …

Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional …

L Hu, C Fu, X Song, R Grimm, H Von Busch, T Benkert… - Cancer Imaging, 2023 - Springer
Background Deep-learning-based computer-aided diagnosis (DL-CAD) systems using MRI
for prostate cancer (PCa) detection have demonstrated good performance. Nevertheless, DL …

Weakly Supervised MRI Slice‐Level Deep Learning Classification of Prostate Cancer Approximates Full Voxel‐and Slice‐Level Annotation: Effect of Increasing …

C Weißer, N Netzer, M Görtz, V Schütz… - Journal of Magnetic …, 2024 - Wiley Online Library
Background Weakly supervised learning promises reduced annotation effort while
maintaining performance. Purpose To compare weakly supervised training with full slice …

Outcomes of serial multiparametric magnetic resonance imaging and subsequent biopsy in men with low-risk prostate cancer managed with active surveillance

W Hsiang, K Ghabili, JS Syed, J Holder… - European urology …, 2021 - Elsevier
Background Outcomes of serial multiparametric magnetic resonance imaging (mpMRI) and
subsequent biopsy in monitoring prostate cancer (PCa) in men on active surveillance (AS) …