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MRI-based texture analysis to differentiate the most common parotid tumours
O Sarioglu1, F C Sarioglu2, A I Akdogan1
1Department of Radiology, Health Sciences University, Tepecik Educational and Research Hospital, Izmir, Turkey.
Texture analysis (TA) combined with MRI features can help differentiate benign from malignant parotid tumors. Specific MRI characteristics, like kurtosis on T2-weighted images and an ill-defined border, show high accuracy in identifying malignant parotid masses.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Parotid tumors are common salivary gland neoplasms.
- Accurate differentiation between benign and malignant parotid tumors is crucial for appropriate management.
- Magnetic resonance imaging (MRI) is a key modality for evaluating parotid masses, but distinguishing tumor types can be challenging.
Purpose of the Study:
- To evaluate magnetic resonance imaging (MRI) features and signal characteristics of parotid masses.
- To investigate the added role of texture analysis (TA) in differentiating parotid tumors.
- To assess the diagnostic performance of MRI features and TA in distinguishing benign from malignant parotid tumors.
Main Methods:
- Retrospective analysis of MRI sequences from 95 patients with parotid tumors (pleomorphic adenoma, Warthin's tumor, mucoepidermoid carcinoma).
- Texture analysis (TA) was performed on fat-suppressed T2-weighted and contrast-enhanced T1-weighted images.
- Logistic regression and receiver operating characteristic (ROC) curve analyses were used to evaluate diagnostic ability and the added value of TA.
Main Results:
- Significant differences in tumor border, infiltration, enhancement, perineural spread, and lymph nodes were observed between malignant and benign tumors.
- Texture analysis parameters (kurtosis on contrast-enhanced T1, skewness and kurtosis on T2) showed significant differences between tumor groups.
- A combination of high kurtosis on T2-weighted images and an ill-defined border demonstrated high specificity (98.8%) and positive predictive value (83.3%) for differentiating malignant tumors.
Conclusions:
- Texture analysis parameters, when added to conventional MRI findings, may improve the differentiation of benign from malignant parotid tumors.
- Specific MRI features and texture parameters hold promise for non-invasively characterizing parotid masses.
- Further research validating these findings in larger cohorts is warranted.
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