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.

Aim: The categorization of endometrial carcinomas into endometrioid and serous categories has prognostic implications but many-a-times, it is difficult to categorize based solely on morphology. The present study was conducted to determine an appropriate immunohistochemical panel to distinguish grade 3 endometrioid carcinoma from serous carcinoma. Experimental Design: This study was a retrospective and a prospective study including 63 cases of endometrial carcinoma diagnosed on morphology as either grade 3 endometrioid (n=29) or serous endometrial carcinomas (n=34). Immunohistochemistry (IHC) was performed using tissue microarrays for 8 immunomarkers on 60 cases. Results: The mean age of presentation was not significantly different for both types of carcinomas and the most common presentation was postmenopausal bleeding (93% of the total cases, P=0.66). Obesity (P=0.038), lymph nodal involvement (P=0.044), and stage at presentation (P=0.042) were found to be significantly different among the 2 types of carcinomas. Estrogen and progesterone receptor (ER, PR) positivity was more common (47.6% and 28.2%, respectively) in endometrioid carcinomas as compared with serous. Mutation type (diffuse or null) p53 staining was a powerful predictor of serous carcinomas. IMP3 and p16 were found to be positive in most cases of serous carcinoma (64.1% and 79.5%, respectively). Vimentin and β-catenin were found to be of limited utility. On the basis of IHC, 21 cases could be categorized as grade 3 endometrioid carcinomas and 39 as type 2 carcinomas (serous and clear cell carcinoma). Conclusions: The most appropriate IHC panel to differentiate endometrioid and serous endometrial carcinomas includes ER, PR, IMP3, p53, and p16.

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