Development and validation of a model for predicting the expression of Ki-67 in pancreatic ductal adenocarcinoma with radiological features and dual-energy computed tomography quantitative parameters

Development and validation of a model for predicting the expression of Ki-67 in pancreatic ductal adenocarcinoma with radiological features and dual-energy computed tomography quantitative parameters

Abstract Objective To construct and validate a model based on the dual-energy computed tomography (DECT) quantitative parameters and radiological features to predict Ki-67 expression levels in pancreatic ductal adenocarcinoma (PDAC). Materials and methods Data from 143 PDAC patients were analysed. T...

Full description

Bibliographic Details
Main Authors: Youjia Wen, Zuhua Song, Qian Li, Dan Zhang, Xiaojiao Li, Jiayi Yu, Zongwen Li, Xiaofang Ren, Jiayan Zhang, Qian Liu, Jie Huang, Dan Zeng, Zhuoyue Tang
Format: Article
Language:English
Published: SpringerOpen 2024-02-01
Series:Insights into Imaging
Subjects:
Dual-energy computed tomography (DECT)
Pancreatic ductal adenocarcinoma (PDAC)
Ki-67
Prognosis
Nomogram
Online Access:https://doi.org/10.1186/s13244-024-01617-8

Similar Items

Similar Items