Artificial intelligence-generated apparent diffusion coefficient (AI-ADC) maps for prostate gland assessment: a multi-reader study.

ABSTRACT:

Objective

To compare the quality of AI-ADC maps and standard ADC maps in a multi-reader study.

Materials and methods

Multi-reader study included 74 consecutive patients (median age = 66 years, [IQR = 57.25-71.75 years]; median PSA = 4.30 ng/mL [IQR = 1.33-7.75 ng/mL]) with suspected or confirmed PCa, who underwent mpMRI between October 2023 and January 2024. The study was conducted in two rounds, separated by a 4-week wash-out period. In each round, four readers evaluated T2W-MRI and standard or AI-generated ADC (AI-ADC) maps. Fleiss' kappa, quadratic-weighted Cohen's kappa statistics were used to assess inter-reader agreement. Linear mixed effect models were employed to compare the quality evaluation of standard versus AI-ADC maps.

Results

AI-ADC maps exhibited signi

SUBMITTER: Ozyoruk KB 

PROVIDER: S-EPMC12712018 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature