PI-RADS committee position on MRI without contrast medium in biopsy-naive men with suspected prostate cancer: narrative review

IG Schoots, JO Barentsz… - American Journal of …, 2021 - Am Roentgen Ray Soc
The steadily increasing demand for diagnostic prostate MRI has led to concerns regarding
the lack of access to and the availability of qualified MRI scanners and sufficiently …

Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a …

N Sushentsev, N Moreira Da Silva, M Yeung… - Insights into …, 2022 - Springer
Objectives We systematically reviewed the current literature evaluating the ability of fully-
automated deep learning (DL) and semi-automated traditional machine learning (TML) MRI …

Prostate Imaging Quality (PI-QUAL): a new quality control scoring system for multiparametric magnetic resonance imaging of the prostate from the PRECISION trial

F Giganti, C Allen, M Emberton, CM Moore… - European urology …, 2020 - Elsevier
The PRECISION trial was a multicentre randomised study that demonstrated that
multiparametric magnetic resonance imaging (mpMRI)–targeted biopsy is superior to …

Interactive explainable deep learning model informs prostate cancer diagnosis at MRI

CA Hamm, GL Baumgärtner, F Biessmann, NL Beetz… - Radiology, 2023 - pubs.rsna.org
Background Clinically significant prostate cancer (PCa) diagnosis at MRI requires accurate
and efficient radiologic interpretation. Although artificial intelligence may assist in this task …

Prostate MRI quality: clinical impact of the PI-QUAL score in prostate cancer diagnostic work-up

E Karanasios, I Caglic, JP Zawaideh… - The British Journal of …, 2022 - academic.oup.com
Objective: To assess the reproducibility and impact of prostate imaging quality (PI-QUAL)
scores in a clinical cohort undergoing prostate multiparametric MRI. Methods: PI-QUAL …

Hyperpolarised 13C-MRI identifies the emergence of a glycolytic cell population within intermediate-risk human prostate cancer

N Sushentsev, MA McLean, AY Warren… - Nature …, 2022 - nature.com
Hyperpolarised magnetic resonance imaging (HP 13C-MRI) is an emerging clinical
technique to detect [1-13C] lactate production in prostate cancer (PCa) following intravenous …

A novel deep learning based computer-aided diagnosis system improves the accuracy and efficiency of radiologists in reading biparametric magnetic resonance …

DJ Winkel, A Tong, B Lou, A Kamen… - Investigative …, 2021 - journals.lww.com
Objective The aim of this study was to evaluate the effect of a deep learning based computer-
aided diagnosis (DL-CAD) system on radiologists' interpretation accuracy and efficiency in …

Machine and deep learning prediction of prostate cancer aggressiveness using multiparametric MRI

E Bertelli, L Mercatelli, C Marzi, E Pachetti… - Frontiers in …, 2022 - frontiersin.org
Prostate cancer (PCa) is the most frequent male malignancy and the assessment of PCa
aggressiveness, for which a biopsy is required, is fundamental for patient management …

Impact of prostate imaging quality (PI-QUAL) score on the detection of clinically significant prostate cancer at biopsy

G Brembilla, S Lavalle, T Parry, M Cosenza… - European Journal of …, 2023 - Elsevier
Purpose To investigate the impact of Prostate Imaging Quality (PI-QUAL) scores on the
diagnostic performance of multiparametric MRI (mpMRI) in a targeted biopsy cohort. Patients …

Diagnostic accuracy and observer agreement of the MRI prostate imaging for recurrence reporting assessment score

M Pecoraro, B Turkbey, AS Purysko, R Girometti… - Radiology, 2022 - pubs.rsna.org
Background Prostate cancer local recurrence location and extent must be determined in an
accurate and timely manner. Because of the lack of a standardized MRI approach after …