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Dataset Information

Predicting resection margin status of pancreatic neuroendocrine tumors on CT: performance of NCCN resectability criteria.


ABSTRACT:

Objective

To test the performance of the National Comprehensive Cancer Network (NCCN) CT resectability criteria for predicting the surgical margin status of pancreatic neuroendocrine tumor (PNET) and to identify factors associated with margin-positive resection.

Methods

Eighty patients with pre-operative CT and upfront surgery were retrospectively enrolled. Two radiologists assessed the CT resectability (resectable [R], borderline resectable [BR], unresectable [UR]) of the PNET according to NCCN criteria. Logistic regression was used to identify factors associated with resection margin status. κ statistics were used to evaluate interreader agreements. Kaplan-Meier method with log-rank test was used to estimate and compare recurrence-free survival (RFS).

Results

Forty-

SUBMITTER: Kim DH 

PROVIDER: S-EPMC10646654 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature