Prognostic value of CT-based radiomics in grade 1-2 pancreatic neuroendocrine tumors.

ABSTRACT:

Background

Surgically resected grade 1-2 (G1-2) pancreatic neuroendocrine tumors (PanNETs) exhibit diverse clinical outcomes, highlighting the need for reliable prognostic biomarkers. Our study aimed to develop and validate CT-based radiomics model for predicting postsurgical outcome in patients with G1-2 PanNETs, and to compare its performance with the current clinical staging system.

Methods

This multicenter retrospective study included patients who underwent dynamic CT and subsequent curative resection for G1-2 PanNETs. A radiomics-based model (R-score) for predicting recurrence-free survival (RFS) was developed from a development set (441 patients from one institution) using least absolute shrinkage and selection operator-Cox regression analysis. A clinical model (C-mode

SUBMITTER: Heo S 

PROVIDER: S-EPMC10885493 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature