Preoperative ultrasound combined with routine blood tests in predicting the malignant risk of pancreatic cystic neoplasms.

ABSTRACT:

Objective

Accurate preoperative identification of benign or malignant pancreatic cystic neoplasms (PCN) may help clinicians make better intervention choices and will be essential for individualized treatment.

Methods

Preoperative ultrasound and laboratory examination findings, and demographic characteristics were collected from patients. Multiple logistic regression was used to identify independent risk factors associated with malignant PCN, which were then included in the nomogram and validated with an external cohort. The Net Reclassification Index (NRI) and Integrated Discrimination Improvement (IDI) were calculated to evaluate the improvement in the predictive power of the new model with respect to that of a combined imaging and tumor marker prediction model.

Results<

SUBMITTER: Wang X 

PROVIDER: S-EPMC9630525 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature