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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.

Clinical Radiology
|July 25, 2020
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Summary

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.

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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.