ROLE OF TEXTURE ANALYSIS IN PREDICTING HISTOPATHOLOGICAL OUTCOME IN PATIENTS WITH BRAIN MASSES USING CT AND MRI IMAGING
Authors: MEENU BHORIA  , DEEPAK PATKAR  , RASHMI PARIKH  , HARPREET SINGH  , MITUSHA VERMA  , GURKAMAL KAUR TOOR  
Published: January 2025

Objectives: Brain tumors, particularly gliomas, are difficult to differentiate radiologically, whether they are benign or malignant, which usually requires histopathological examination. Texture analysis (TA), a method for quantification of heterogeneity of the tumor, can be used as a tool for this differentiation. This study aims to elucidate possible associations between computed tomography (CT) scan or magnetic resonance imaging TA (MRI TA) of brain tumors and their histopathological diagnosis.
Methods: A total of 20 patients with brain tumor were retrospectively studied. A detailed history was taken so that only pre-treatment CT/MRI scans were included to avoid heterogeneity of the sample. Patients from all age groups and sexes were included. Postcontrast images with the largest cross-section of the tumor were processed for TA (using texRAD software).
Results: In this study, it was found that for World Health Organisation (WHO) grade I and II brain tumors, mean and mean of positive pixel (MPP) are high and Kurtosis is low when compared with WHO grade III and IV. The strongest differences on unfiltered images were found for mean and MPP (p=0.049) and on medium-level filter for Kurtosis (p=0.049).
Conclusion: TA has a great potential to improve the diagnosis and stratification of patients of brain tumors. It can also give information regarding the underlying growth patterns, and hormonal/tumor markers, may add inputs in decisions regarding therapeutic efficacy, follow-up before and after treatment and prognosis, thus helping in the management of the patient.
 Objectives: Brain tumors, particularly gliomas, are difficult to differentiate radiologically, whether they are benign or malignant, which usually requires histopathological examination. Texture analysis (TA), a method for quantification of heterogeneity of the tumor, can be used as a tool for this differentiation. This study aims to elucidate possible associations between computed tomography (CT) scan or magnetic resonance imaging TA (MRI TA) of brain tumors and their histopathological diagnosis.
Methods: A total of 20 patients with brain tumor were retrospectively studied. A detailed history was taken so that only pre-treatment CT/MRI scans were included to avoid heterogeneity of the sample. Patients from all age groups and sexes were included. Postcontrast images with the largest cross-section of the tumor were processed for TA (using texRAD software).
Results: In this study, it was found that for World Health Organisation (WHO) grade I and II brain tumors, mean and mean of positive pixel (MPP) are high and Kurtosis is low when compared with WHO grade III and IV. The strongest differences on unfiltered images were found for mean and MPP (p=0.049) and on medium-level filter for Kurtosis (p=0.049).
Conclusion: TA has a great potential to improve the diagnosis and stratification of patients of brain tumors. It can also give information regarding the underlying growth patterns, and hormonal/tumor markers, may add inputs in decisions regarding therapeutic efficacy, follow-up before and after treatment and prognosis, thus helping in the management of the patient.