Development and validation of an MRI-radiomics nomogram for the prognosis of pancreatic ductal adenocarcinoma.

ABSTRACT:

Objective

To develop and validate an MRI-radiomics nomogram for the prognosis of pancreatic ductal adenocarcinoma (PDAC).

Background

"Radiomics" enables the investigation of huge amounts of radiological features in parallel by extracting high-throughput imaging data. MRI provides better tissue contrast with no ionizing radiation for PDAC.

Methods

There were 78 PDAC patients enrolled in this study. In total, there were 386 radiomics features extracted from MRI scan, which were screened by the least absolute shrinkage and selection operator algorithm to develop a risk score. Cox multivariate regression analysis was applied to develop the radiomics-based nomogram. The performance was assessed by discrimination and calibration.

Results

The radiomics-based risk-scor

SUBMITTER: Xu X 

PROVIDER: S-EPMC9998897 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature