Prostate zonal anatomy is best demonstrated with MRI. On T2-weighted sequences, the normal prostate can be divided into the peripheral zone, which shows high signal intensity owing to its high water ...

A deep learning model was as effective as radiologists in detecting clinically significant prostate cancer on multiparametric MRI, a retrospective study suggested. In an internal test set of 400 ...

An artificial intelligence (AI) system was better at detecting clinically significant prostate cancer on MRI compared with radiologists, a noninferiority, confirmatory study showed. In a subset of 400 ...

A recent Radiology journal study assesses the power of a fully automated deep learning (DL) model to produce deterministic outputs for identifying clinically significant prostate cancer (csPCa). Study ...

An artificial intelligence system slightly outperformed radiologists using PI-RADS at detecting clinically significant prostate cancer. A trained artificial intelligence (AI) system discriminated ...

Prostate cancer imaging developed by university researchers has shown “extremely encouraging” results in its first clinical trials. A team at Heriot-Watt University, Edinburgh, leading the clinical ...

A nationwide survey of prostate MRI practices in the UK revealed the universal adoption of pre-biopsy MRI across all NHS trusts, with 73.1% using multiparametric MRI protocols. However, significant ...

Associations between patient sociodemographic factors and non-treatment for localized prostate cancer. N represents the total number of biopsies in each variable category. The mean difference is the ...

Following the PRECISION trial, prostate multiparametric MRI has been adopted as the first-line investigation for suspected prostate ...

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