Back to Search Start Over

Personalized radiomics signature to screen for KIT-11 mutation genotypes among patients with gastrointestinal stromal tumors: a retrospective multicenter study

Authors :
Qing-Wei Zhang
Ran-Ying Zhang
Zhi-Bo Yan
Yu-Xuan Zhao
Xin-Yuan Wang
Jing-Zheng Jin
Qi-Xuan Qiu
Jie-Jun Chen
Zhen-Hui Xie
Jiang Lin
Hui Cao
Yan Zhou
Hui-Min Chen
Xiao-Bo Li
Source :
Journal of Translational Medicine, Vol 21, Iss 1, Pp 1-10 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Objectives Gastrointestinal stromal tumors (GISTs) carrying different KIT exon 11 (KIT-11) mutations exhibit varying prognoses and responses to Imatinib. Herein, we aimed to determine whether computed tomography (CT) radiomics can accurately stratify KIT-11 mutation genotypes to benefit Imatinib therapy and GISTs monitoring. Methods Overall, 1143 GISTs from 3 independent centers were separated into a training cohort (TC) or validation cohort (VC). In addition, the KIT-11 mutation genotype was classified into 4 categories: no KIT-11 mutation (K11-NM), point mutations or duplications (K11-PM/D), KIT-11 557/558 deletions (K11-557/558D), and KIT-11 deletion without codons 557/558 involvement (K11-D). Subsequently, radiomic signatures (RS) were generated based on the arterial phase of contrast CT, which were then developed as KIT-11 mutation predictors using 1408 quantitative image features and LASSO regression analysis, with further evaluation of its predictive capability. Results The TC AUCs for K11-NM, K11-PM/D, K11-557/558D, and K11-D ranged from 0.848 (95% CI 0.812–0.884), 0.759 (95% CI 0.722–0.797), 0.956 (95% CI 0.938–0.974), and 0.876 (95% CI 0.844–0.908), whereas the VC AUCs ranged from 0.723 (95% CI 0.660–0.786), 0.688 (95% CI 0.643–0.732), 0.870 (95% CI 0.824–0.918), and 0.830 (95% CI 0.780–0.878). Macro-weighted AUCs for the KIT-11 mutant genotype ranged from 0.838 (95% CI 0.820–0.855) in the TC to 0.758 (95% CI 0.758–0.784) in VC. TC had an overall accuracy of 0.694 (95%CI 0.660–0.729) for RS-based predictions of the KIT-11 mutant genotype, whereas VC had an accuracy of 0.637 (95%CI 0.595–0.679). Conclusions CT radiomics signature exhibited good predictive performance in estimating the KIT-11 mutation genotype, especially in prediction of K11-557/558D genotype. RS-based classification of K11-NM, K11-557/558D, and K11-D patients may be an indication for choice of Imatinib therapy.

Details

Language :
English
ISSN :
14795876
Volume :
21
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Translational Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.bbf27264f33042b886f3cab63f9dc747
Document Type :
article
Full Text :
https://doi.org/10.1186/s12967-023-04520-w