TY - JOUR
T1 - Heterogeneity of metastatic gastrointestinal stromal tumor on texture analysis
T2 - DWI texture as potential biomarker of overall survival
AU - Fu, Jia
AU - Fang, Meng jie
AU - Dong, Di
AU - Li, Jian
AU - Sun, Ying shi
AU - Tian, Jie
AU - Tang, Lei
N1 - Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/4
Y1 - 2020/4
N2 - 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 run-length 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 1.19×100, 1.71×10 and 2.19×0.1, 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.
AB - 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 run-length 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 1.19×100, 1.71×10 and 2.19×0.1, 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.
KW - Gastrointestinal stromal tumor
KW - Magnetic resonance imaging
KW - Prognosis
KW - Texture analysis
UR - https://www.scopus.com/pages/publications/85078826976
U2 - 10.1016/j.ejrad.2020.108825
DO - 10.1016/j.ejrad.2020.108825
M3 - 文章
C2 - 32035324
AN - SCOPUS:85078826976
SN - 0720-048X
VL - 125
JO - European Journal of Radiology
JF - European Journal of Radiology
M1 - 108825
ER -