A nomogram to preoperatively predict the aggressiveness of pancreatic neuroendocrine tumors based on CT features and 3D CT radiomic features.

ABSTRACT:

Objectives

Combining Computed Tomography (CT) intuitive anatomical features with Three-Dimensional (3D) CT multimodal radiomic imaging features to construct a model for assessing the aggressiveness of pancreatic neuroendocrine tumors (pNETs) prior to surgery.

Methods

This study involved 242 patients, randomly assigned to training (170) and validation (72) cohorts. Preoperative CT and 3D CT radiomic features were used to develop a model predicting pNETs aggressiveness. The aggressiveness of pNETs was characterized by a combination of factors including G3 grade, nodal involvement (N + status), presence of distant metastases, and/or recurrence of the disease.

Results

Three distinct predictive models were constructed to evaluate the aggressiveness of pNETs using CT featur

SUBMITTER: Wang Z 

PROVIDER: S-EPMC12267297 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature