OBJECTIVE. The purposes of this study were to assess whether CT texture analysis and CT
features are predictive of pancreatic neuroendocrine tumor (PNET) grade based on the …

Background Pancreatic neuroendocrine tumors (PNET) include heterogeneous tumors with
a variable degree of inherent biologic aggressiveness represented by the histopathologic …

Purpose Grades of pancreatic neuroendocrine neoplasms (PNENs) are associated with the
choice of treatment strategies. Texture analysis has been used in tumor diagnosis and …

To evaluate pancreatic neuroendocrine neoplasms (panNENs) grade prediction by means
of qualitative and quantitative CT evaluation, and 3D CT-texture analysis. Patients with …

Purpose The purpose of this study was to evaluate the performance of magnetic resonance
imaging (MRI) findings and texture parameters for prediction of the histopathologic grade of …

Background To explore the application value of computed tomography (CT) texture analysis
in differentiating atypical pancreatic neuroendocrine tumors (pNET) from pancreatic ductal …

Objective To determine whether CT features can predict the pathological tumor grades of
pancreatic neuroendocrine tumors (PanNETs) according to the recent WHO classification …

Purpose To assess the ability of radiomic features (RF) extracted from contrast-enhanced CT
images (ceCT) and non-contrast-enhanced (non-ceCT) in discriminating histopathologic …

Objectives To evaluate MRI derived whole-tumour histogram analysis parameters in
predicting pancreatic neuroendocrine neoplasm (panNEN) grade and aggressiveness …

Aim To identify the multidetector computed tomography (MDCT) features of pancreatic
neuroendocrine tumours (pNETs), which correlate with tumour histology and enable …