Value of contrast-enhanced CT based radiomic machine learning algorithm in differentiating gastrointestinal stromal tumors with KIT exon 11 mutation: a two-center study

Value of contrast-enhanced CT based radiomic machine learning algorithm in differentiating gastrointestinal stromal tumors with KIT exon 11 mutation: a two-center study

PURPOSEKnowing the genetic phenotype of gastrointestinal stromal tumors (GISTs) is essential for patients who receive therapy with tyrosine kinase inhibitors. The aim of this study was to develop a radiomic algorithm for predicting GISTs with KIT exon 11 mutation.METHODSWe enrolled 106 patients (80...

Full description

Bibliographic Details
Main Authors: Bo Liu, Hao Liu, Lequan Zhang, Yancheng Song, Shifeng Yang, Ziwen Zheng, Junjiang Zhao, Feng Hou, Jian Zhang
Format: Article
Language:English
Published: Galenos Publishing House 2022-01-01
Series:Diagnostic and Interventional Radiology
Online Access: http://www.dirjournal.org/archives/archive-detail/article-preview/value-of-contrast-enhanced-ct-based-radiomic-machi/53764

Internet

http://www.dirjournal.org/archives/archive-detail/article-preview/value-of-contrast-enhanced-ct-based-radiomic-machi/53764

Similar Items