An MRI-based grading system for preoperative risk estimation of positive surgical margin after radical prostatectomy.

ABSTRACT:

Objective

To construct a simplified grading system based on MRI features to predict positive surgical margin (PSM) after radical prostatectomy (RP).

Methods

Patients who had undergone prostate MRI followed by RP between January 2017 and January 2021 were retrospectively enrolled as the derivation group, and those between February 2021 and November 2022 were enrolled as the validation group. One radiologist evaluated tumor-related MRI features, including the capsule contact length (CCL) of lesions, frank extraprostatic extension (EPE), apex abutting, etc. Binary logistic regression and decision tree analysis were used to select risk features for PSM. The area under the curve (AUC), sensitivity, and specificity of different systems were calculated. The interreader agreement of

SUBMITTER: Xu L 

PROVIDER: S-EPMC10593712 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature