Oda M, Staziaki PV, Qureshi MM, et al. - Whether CT texture analysis helps to distinguish cystic and cystic-appearing odontogenic lesions of the jaw was investigated in this IRB-approved retrospective investigation. Researchers performed this analysis on 42 pathology-proven dentigerous cysts, 37 odontogenic keratocysts, and 19 ameloblastomas. Manual segmentation of each lesion on axial CT images was done. They examined textural characteristics with the help of an in-house-developed Matlab-based texture analysis program that selected 47 texture features from each segmented volume. Significant variations between dentigerous cysts and odontogenic keratocysts were demonstrated by nine histogram features, one gray-level co-occurrence matrix feature, three gray-level run-length features, two Low’s features, four GLGM features and two chi-square features, as shown in the pairwise analysis. Overall, findings are suggestive of the possible utility of CT texture analysis as a noninvasive means to gather additional quantitative information to distinguish cystic and cystic-appearing odontogenic lesions of the jaw.