External validation of the computerized analysis of TRUS of the prostate with the ANNA/C-TRUS system: a potential role of artificial intelligence for improving prostate cancer detection

Robotic Transrectal Computed Tomographic Ultrasound with Artificial Neural Network Analysis: First Validation and Comparison with MRI-Guided Biopsies and Radical Prostatectomy

(2021) Niklas Harland et al.   UROLOGIA INTERNATIONALIS

Advanced ultrasound in the diagnosis of prostate cancer

(2020) Jean-Michel Correas et al.   WORLD JOURNAL OF UROLOGY

Can transrectal prostate ultrasound compete with multiparametric MRI in the detection of clinically significant prostate cancer?

(2020) Alistair D. R. Grey et al.   Translational Andrology and Urology

EAU-EANM-ESTRO-ESUR-SIOG Guidelines on Prostate Cancer—2020 Update. Part 1: Screening, Diagnosis, and Local Treatment with Curative Intent

(2020) Nicolas Mottet et al.   EUROPEAN UROLOGY

Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists

(2019) Michela Antonelli et al.   EUROPEAN RADIOLOGY

Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization

(2019) Jussi Toivonen et al.   PLoS One

MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis

(2018) Veeru Kasivisvanathan et al.   NEW ENGLAND JOURNAL OF MEDICINE

Poor reproducibility of PIRADS score in two multiparametric MRIs before biopsy in men with elevated PSA

(2018) Stig Müller et al.   WORLD JOURNAL OF UROLOGY

Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study

(2017) Hashim U Ahmed et al.   LANCET

A 12-year follow-up of ANNA/C-TRUS image-targeted biopsies in patients suspicious for prostate cancer

(2017) Theodoros Tokas et al.   WORLD JOURNAL OF UROLOGY

Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images

(2015) Duc Fehr et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Artificial neural networks and prostate cancer—tools for diagnosis and management

(2013) Xinhai Hu et al.   Nature Reviews Urology

Combination of C-TRUS with multiparametric MRI: potential for improving detection of prostate cancer

(2012) T. Strunk et al.   WORLD JOURNAL OF UROLOGY

Computerized transrectal ultrasound of the prostate in a multicenter setup (C-TRUS-MS): detection of cancer after multiple negative systematic random and in primary biopsies

(2011) Bjoern Grabski et al.   WORLD JOURNAL OF UROLOGY