Endoscopic ultrasonography-based intratumoral and peritumoral machine learning ultrasomics model for predicting the pathological grading of pancreatic neuroendocrine tumors.

Journal: BMC medical imaging
PMID:

Abstract

OBJECTIVES: The objective is to develop and validate intratumoral and peritumoral ultrasomics models utilizing endoscopic ultrasonography (EUS) to predict pathological grading in pancreatic neuroendocrine tumors (PNETs).

Authors

  • Shuangyang Mo
    Gastroenterology Department, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, China.
  • Cheng Huang
    James H. Clark Center, Stanford University, Stanford, California, USA.
  • Yingwei Wang
    Gastroenterology Department, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, China.
  • Shanyu Qin
    Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.