Diffusion Weighted Imaging for The Pathological Classification of Parotid Gland Tumors

Motivation: Parotid gland tumors require various treatments, and it is essential to assess malignancy before surgery. Goal(s): To evaluate the effectiveness of diffusion-weighted imaging in diagnosing salivary gland tumors. Approach: In a retrospective study, Conventional MRI (cMRI) and DWI data from 85 cases were analyzed. ADC values were measured and compared among different tumor types. Salivary gland tumors are classified into three categories: pleomorphic adenoma (PA), Warthin tumor, and malignant tumors. Results: ADC values successfully distinguish PA from other tumors, but they do not differentiate between benign and malignant tumors. Lower ADC values are associated with higher grades of malignancy. Impact: DWI, a non-invasive imaging technique, provides critical insights into the cellular structure of tissues, aiding in the differentiation of benign and malignant thyroid nodules. It enhances diagnostic accuracy, reduces unnecessary biopsies, and contributes to the optimization of treatment strategies.