Preoperative prediction of pancreatic neuroendocrine tumors grade based on computed tomography, magnetic resonance imaging and endoscopic ultrasonography.

ABSTRACT:

Purpose

To establish a preoperative prediction model for pathological grade of PanNETs based on computed tomography (CT), magnetic resonance imaging (MRI) and endoscopic ultrasonography (EUS).

Methods

Clinical data of 58 patients with pathologically confirmed PanNETs were included in this retrospectively study and they were divided into grade 1 and grade 2/3. CT, MRI and EUS images were collected within one week before surgery. A clinical predictive model based on the independent clinical risk factors and significant radiological features was established. The area under receiver operating characteristic curve (AUC) was performed to assess the model.

Results

Gender, pancreatic duct dilatation (PDD) and portal enhancement ratio (PER) were the independent predictors for

SUBMITTER: Xie Y 

PROVIDER: S-EPMC12454596 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature