Feasibility of using computed tomography texture analysis parameters as imaging biomarkers for predicting risk grade of gastrointestinal stromal tumors: comparison with visual inspection
- 28 March 2019
- journal article
- research article
- Published by Springer Nature in Abdominal Radiology
- Vol. 44 (7) , 2346-2356
Abstract
To evaluate the feasibility of using computed tomography texture analysis (CTTA) parameters for predicting malignant risk grade and mitosis index of gastrointestinal stromal tumors (GISTs), compared with visual inspection.Keywords
Funding Information
- Korea University Grant (K1422331)
- Korea University Ansan Hospital Grant (O1801331)
This publication has 37 references indexed in Scilit:
- Two staging systems for gastrointestinal stromal tumors in the stomach: which is better?BMC Gastroenterology, 2017
- Texture analysis of CT images in predicting malignancy risk of gastrointestinal stromal tumoursClinical Radiology, 2017
- CT Texture Analysis: Definitions, Applications, Biologic Correlates, and ChallengesRadioGraphics, 2017
- CT Textural Analysis of Large Primary Renal Cell Carcinomas: Pretreatment Tumor Heterogeneity Correlates With Histologic Findings and Clinical OutcomesAmerican Journal of Roentgenology, 2016
- Endosonographic large-bore biopsy of gastric subepithelial tumorsEuropean Journal of Gastroenterology & Hepatology, 2012
- A guide for the diagnosis and management of gastrointestinal stromal cell tumorsNature Reviews Gastroenterology & Hepatology, 2009
- A systematic review on the clinical diagnosis of gastrointestinal stromal tumorsJournal of Surgical Oncology, 2008
- Assessment of gastrointestinal stromal tumors with computed tomography following treatment with imatinib mesylateWorld Journal of Gastroenterology, 2008
- Gastrointestinal Stromal Tumors of the StomachAmerican Journal of Surgical Pathology, 2005
- Gain-of-Function Mutations of c- kit in Human Gastrointestinal Stromal TumorsScience, 1998