Haralick texture features extracted from Ga-68 PSMA PET/CT to differentiate normal prostate from prostate cancer: a feasibility study. Issue 12 (17th August 2021)

• Record Type: Journal Article
• Authors: Sharma, Akshima; Kumar, Sanjay; Pandey, Anil Kumar; Arora, Geetanjali; Sharma, Anshul; Seth, Amlesh; Kumar, Rakesh
• Is Part Of: Nuclear medicine communications. Volume 42:Issue 12(2021)
• Page Start: 1347
• Page End: 1354
• Publication Date: 2021-08-17
• Subjects: Ga-68 PSMA PET/CT -- Haralick texture features -- prostate cancer; Nuclear medicine -- Periodicals; 616.07575
• DOI: 10.1097/MNM.0000000000001469
• Languages: English
• ISSNs: 0143-3636

Abstract

Abstract : Objective: Role of texture parameters on the basis of Ga-68 PSMA PET/CT in prostate cancer (Pca) is largely unexplored. Present work done is a preliminary study that aims to evaluate the role of Haralick texture features on the basis of Ga-68 PSMA PET/CT in Pca in which texture features were used to differentiate between normal prostate and Pca tissue. Methods: The study retrospectively enrolled patients in two groups: group 1 included 30 patients with biopsy-proven adenocarcinoma prostate and median age 64 years (range: 50–82 years) who underwent baseline Ga-68 PSMA PET/CT prior to therapy; group 2 included 24 patients with pathologies other than Pca and median age 53.5 years (range: 18–80 years) who underwent Ga-68 PSMA PET/CT as part of another study in our department. Patients in group 2 did not have any prostate pathology and served as controls for the study. The segmented images of prostate (3-D image) were used to calculate 11 Haralick texture features in MATLAB. SUVmax was also evaluated. All parameters were compared among the two groups using appropriate statistical analysis and P value <0.05 was considered significant. Results: All 11 Haralick texture features, as well as SUVmax, were significantly different among Pca and controls ( P < 0.05). Among the texture features, contrast was most significant ( P value of Mann–Whitney U <0.001) in differentiating Pca from normal prostate with AUROC curve of 82.9% with sensitivity and specificity 83.30% and 73.30%, respectively at cut-off 0.640. SUVmax was also significant with AUROC curve 94.0% and sensitivity and specificity 62.5% and 90%, respectively at cut-off 5.7. A significant negative correlation of SUVmax was observed with contrast. Conclusion: Haralick texture features have a significant role in differentiating Pca and normal prostate.