Heterogeneity of metastatic gastrointestinal stromal tumor on texture analysis: DWI texture as potential biomarker of overall survival

被引:17
作者
Fu, Jia [1 ,2 ]
Fang, Meng-jie [3 ,4 ]
Dong, Di [3 ,4 ]
Li, Jian [5 ]
Sun, Ying-shi [1 ]
Tian, Jie [3 ,4 ]
Tang, Lei [1 ]
机构
[1] Peking Univ, Radiol Dept, Key Lab Carcinogenesis & Translat Res, Minist Educ Beijing,Canc Hosp & Inst, Beijing 100142, Peoples R China
[2] Civil Aviat Gen Hosp, Dept Radiol, 1 Chaoyang Rd, Beijing 100123, Peoples R China
[3] Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, 95 East Zhongguancun Rd, Beijing 100190, Peoples R China
[4] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[5] Peking Univ, Dept Gastroenterol, Key Lab Carcinogenesis & Translat Res, Minist Educ Beijing,Canc Hosp & Inst, Beijing 100142, Peoples R China
基金
中国国家自然科学基金; 北京市自然科学基金; 国家重点研发计划;
关键词
Gastrointestinal stromal tumor; Prognosis; Magnetic resonance imaging; Texture analysis; IMATINIB; SURGERY; IMAGES; RISK;
D O I
10.1016/j.ejrad.2020.108825
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To determine if texture features of diffusion weighted imaging (DWI) on MRI of metastatic gastrointestinal stromal tumor (mGIST) have correlation with overall survival (OS). Method: Fifty-one GIST patients with metastatic lesions who received imatinib targeted therapy were included. Texture features of the largest metastatic lesion were analyzed using inhouse software. Three types of texture features were assessed: fractal features, gray-level co-occurrence matrix (GLCM) features, and gray-level runlength matrix (GLRLM) features. The features were extracted from the regions of interest (ROIs) on T2-weighted imaging (T2WI), DWI and apparent diffusion coefficient (ADC) maps. Histogram analysis was performed on ADC maps. Patients were followed up until death. Kaplan-Meier analysis was performed to determine the correlation of texture features with OS. The curves of the high- and low-risk groups were compared using log-rank test. The prognostic efficacy of the predictors was assessed by calculating the concordance probability. Results: The median survival time was 43.5 months (range, 3.97-120.90 m). Four DWI and three ADC texture features showed significant correlation with OS on univariate analysis (p < 0.05). DWI_L_GLCM_maximum_probability [hazard ratio (HR): 2.062 (1.357-3.131)], ADC_H_GLRLM_mean [HR: 2.174 (1.457-3.244)], and ADC_O_GLCM_cluster_shade [HR: 1.882 (1.324-2.674)] were identified as representative prognostic indicators. The optimum threshold levels for these three features were 1.19 x 100, 1.71 x 10 and 2.19 x 0.1, respectively. Neither histogram analysis values nor fractal features revealed significant correlation with survival status (p > 0.05). Conclusions: Texture features of the mGIST on DWI exhibited correlation with overall survival. High-grade heterogeneity was associated with poor prognosis.
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页数:6
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