A radiomics model that predicts lymph node status in pancreatic cancer to guide clinical decision making: A retrospective study.

ABSTRACT: Purpose: To construct a radiomics-based model for predicting lymph node (LN) metastasis status in pancreatic ductal adenocarcinoma (PDAC) before therapy and to evaluate its prognostic clinical value. Materials and Methods: We retrospectively collected preoperative CT scans of 130 PDAC patients who underwent original tumor resection and LN dissection in the entire cohort between January 2014 and December 2017. Radiomics features were systematically extracted and analyzed from CT scans of 89 patients in the primary cohort. To construct a radiomics signature, the least absolute shrinkage and selection operator methods were employed with LN metastasis status as classification labels. Pathological analysis of LN status which were assessed by experienced pathologists was used as th

SUBMITTER: Liang X 

PROVIDER: S-EPMC8425217 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature