spar0010">This retrospective IRB-approved study included 75 patients who underwent standardised MRI with conventional sequences (T1- and T2-weighted images, and T1 post-contrast sequences with fat saturation) and functional sequences: diffusion (b0, b1000) and perfusion MR. Two independent readers reviewed the images using the decisional algorithm. The conclusion of each reader was: the lesion is or is not a Warthin's tumor. The MRI conclusion was compared with histology or with cytology and follow-up. We calculated the Cohen's kappa coefficient between the two observers and the sensitivity and specificity of the algorithm-helped-reading for the diagnosis of Warthin's tumor.
spar0015">Seventy-five patients; histology (n = 61) or cytology and follow-up (n = 14) results revealed 20 Warthin's tumors and 55 other tumors. Using the algorithm, sensitivity and specificity were 80–96%, and 85–100%, respectively for readers 1 and 2. The Cohen's kappa coefficient between the two observers was 0.79 (P < 0.05) for the diagnosis of Warthin's tumor.
spar0020">Our decisional algorithm helps the preoperative diagnosis of Warthin's tumor. The specificity of the technique is sufficient to avoid surgery if a parotid gland tumor presents all the MRI characteristics of a Warthin's tumor.