Gupta, Pankaj; Rana, Pratyaksha; Ganeshan, Balaji; Kalage, Daneshwari; Irrinki, Santosh; Gupta, Vikas; Yadav, Thakur Deen; ... Sandhu, Manavjit; + view all Gupta, Pankaj; Rana, Pratyaksha; Ganeshan, Balaji; Kalage, Daneshwari; Irrinki, Santosh; Gupta, Vikas; Yadav, Thakur Deen; Kumar, Rajender; Das, Chandan K; Gupta, Parikshaa; Endozo, Raymond; Nada, Ritambhra; Srinivasan, Radhika; Kalra, Naveen; Dutta, Usha; Sandhu, Manavjit; - view fewer (2021) Computed tomography texture-based radiomics analysis in gallbladder cancer: initial experience. Clinical and Experimental Hepatology , 7 (4) pp. 406-414. 10.5114/ceh.2021.111173.

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Abstract

Aim of the study: To investigate computed tomography (CT) texture parameters in suspected gallbladder cancer (GBC) and assess its utility in predicting histopathological grade and overall survival. Material and methods: This retrospective pilot study included consecutive patients with clinically suspected GBC. CT images, clinical, and histological or cytological data were retrieved from the database. CT images were reviewed by two radiologists. A single axial CT section in the portal venous phase was selected for texture analysis. Radiomic feature extraction was done using commercially available research software. Results: Thirty-eight patients (31 females, mean age 53.1 years) were included. Malignancy was confirmed in 29 patients in histopathology or cytology analysis, and the rest had no features of malignancy. Exophytic gallbladder mass with associated gallbladder wall thickening was present in 22 (58%) patients. Lymph nodal, liver, and omental metastases were present in 10, 1, and 3 patients, respectively. The mean overall survival was 9.7 months. There were significant differences in mean and kurtosis at medium texture scales to differentiate moderately differentiated and poorly differentiated adenocarcinoma (p < 0.05). The only texture parameter that was significantly associated with survival was kurtosis (p = 0.020) at medium texture scales. In multivariate analysis, factors found to be significantly associated with length of overall survival were mean number of positive pixels (p = 0.02), skewness (p = -0.046), kurtosis (0.018), and standard deviation (p = 0.045). Conclusions: Our preliminary results highlight the potential utility of CT texture-based radiomics analysis in patients with GBC. Medium texture scale parameters including both mean and kurtosis, or kurtosis alone, may help predict the histological grade and survival, respectively.

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