Objectives To develop and validate radiomics models utilizing endoscopic ultrasonography
(EUS) images to distinguish insulinomas from non-functional pancreatic neuroendocrine …

Objectives To develop and validate various ultrasomics models based on endoscopic
ultrasonography (EUS) for retrospective differentiating pancreatic neuroendocrine tumors …

Background: Accurate detection of the histological grade of pancreatic neuroendocrine
tumors (PNETs) is important for patients' prognoses and treatment. Here, we investigated the …

Objective We aimed to investigate whether the radiomics analysis based on B-mode
ultrasound (BMUS) images could predict histopathological tumor grades in pancreatic …

Objectives This research aimed to retrospectively construct and authenticate ultrasomics
models using endoscopic ultrasonography (EUS) images for forecasting the pathological …

Backgroud Tumor grade is the determinant of the biological aggressiveness of pancreatic
neuroendocrine tumors (PNETs) and the best current tool to help establish individualized …

Objective This study aimed to construct a machine learning model using clinical variables
and ultrasound radiomics features for the prediction of the benign or malignant nature of …

Purpose The purpose of this study was to develop a radiomics-signature using computed
tomography (CT) data for the preoperative prediction of grade of nonfunctional pancreatic …

Background This study aimed to determine predictive clinical and endoscopic ultrasound
(EUS) features for pancreatic neuroendocrine tumor (PNET) diagnosis, utilizing EUS-guided …

Background Endoscopic ultrasound‐guided fine‐needle aspiration is associated with the
accurate determination of tumor grade. However, because it is an invasive procedure there …