Contribution of Apparent Diffusion Coefficient Histogram Analysis Findings in Differential Diagnosis of Parotid Gland Masses

• DOI: 10.4274/imj.galenos.2022.83357
• Publication Date: 2022-11-22T13:52:46Z
• Authors: Yeşim Karagöz; Hasan Bulut; Özdeş Mahmutoğlu; Direnç Özlem Aksoy; Abdullah Soydan M...
• Keywords: diffusion weighted imaging; histogram analysis; R; apparent diffusion coefficient; Medicine

Introduction:In this retrospective study, our purpose was to research the usefulness of apparent diffusion coefficient (ADC) histogram graphics for preoperative diagnosis parotis tumors with heterogeneous signal distribution.Methods: Our patient group included 50 patients total 52 parotid gland masses who had diffusion-weighted imaging and ADC maps before operation or biopsy, which were archived in instutional Picture Archiving Communications System.Freehand region interest-based parameters minimum (ADC min), maximum max), mean mean) standard deviation (SD) SD).Statistical analyses performed SPSS 17.0 using Kruskal-Wallis, Mann-Whitney U tests, Spearmans' rho correlation receiver operating characteristic (ROC) curve.Results: min, max especially statistically significant differentiating pleomorphic adenoma (PA) from Warthin tumor (WT).ADC min values also PA malignant (MT) (p<0.05).In PA-WT differentiation value 1465.50 cut-off level, sensitivity 94.1% specificity 88.6%.For PA-MT differentiation, 962.00 82.4% 94.3%.Whereas, WT-MT insignificant (p>0.05). Conclusion:Our results support assumption that can help discriminate WT MTs preoperatively.However, they are unhelpful differential WT.