Deep Learning-Based T2-Weighted MR Image Quality Assessment and Its Impact on Prostate Cancer Detection Rates.

ABSTRACT:

Background

Image quality evaluation of prostate MRI is important for successful implementation of MRI into localized prostate cancer diagnosis.

Purpose

To examine the impact of image quality on prostate cancer detection using an in-house previously developed artificial intelligence (AI) algorithm.

Study type

Retrospective.

Subjects

615 consecutive patients (median age 67 [interquartile range [IQR]: 61-71] years) with elevated serum PSA (median PSA 6.6 [IQR: 4.6-9.8] ng/mL) prior to prostate biopsy.

Field strength/sequence

3.0T/T2-weighted turbo-spin-echo MRI, high b-value echo-planar diffusion-weighted imaging, and gradient recalled echo dynamic contrast-enhanced.

Assessments

Scans were prospectively evaluated during clinical readout using PI-RADS

SUBMITTER: Lin Y 

PROVIDER: S-EPMC11001787 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature