Clinical Study Utility of Nuclear Morphometry in Predicting Grades of

License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Introduction.The ability to reliably differentiate neoplastic fromnonneoplastic specimen and ascertain the tumour grade of diffusely infiltrating gliomas (DIGs) is often challenging. Aims and Objective. To evaluate utility of image morphometry in identifying DIG areas and to predict tumour grade.Materials and Methods. Image morphometry was used to analyze the following nuclear features of 30DIGs and 10 controls (CG):major axis of nucleus (MAJX),minor axis of nucleus (MINX), nuclear area (NA), nuclear perimeter (NP), nuclear roundness (NR), nuclear density (ND), and percentage of total nuclear area (%TNA). Results. Statistically significan