AI Summary & Key Takeaways
AI InsightCONCLUSIONDiffusion-weighted imaging and the ADC values can be used to differentiate and characterize benign and malignant head and neck lesions.
📌 3 Key Takeaways
Abstract
We aimed to evaluate the role of apparent diffusion coeffi-cient (ADC) values calculated from diffusion-weighted imag-ing for head and neck lesion characterization in daily routine, in comparison with histopathological results. METHODSNinety consecutive patients who underwent magnetic res-onance imaging (MRI) at a university hospital for diagnosis of neck lesions were included in this prospective study. Dif-fusion-weighted echo-planar MRI was performed on a 1.5 T unit with b factor of 0 and 1000 s/mm2 and ADC maps were generated. ADC values were measured for benign and malig-nant whole lesions seen in daily practice. RESULTSThe median ADC value of the malignant tumors and benign lesions were 0.72×10-3 mm2/s, (range, 0.39-1.51×10-3 mm2/s) and 1.17×10-3 mm2/s, (range, 0.52-2.38×10-3 mm2/s), respec-tively, with a significant difference between them (P < 0.001). A cutoff ADC value of 0.98×10-3 mm2/s was used to distin-guish between benign and malignant lesions, yielding 85.3% sensitivity and 78.6% specificity. The median ADC value of lymphomas (0.44×10-3 mm2/s; range, 0.39-0.58×10-3 mm2/s) was significantly smaller (P < 0.001) than that of squamous cell carcinomas (median ADC value 0.72×10-3 mm2/s; range, 0.65-1.06×10-3 mm2/s). There was no significant difference between median ADC values of inflammatory (1.13×10-3mm2/s; range, 0.85-2.38×10-3 mm2/s) and noninflammato-ry benign lesions (1.26×10-3 mm2/s; range, 0.52-2.33×10-3mm2/s). CONCLUSIONDiffusion-weighted imaging and the ADC values can be used to differentiate and characterize benign and malignant head and neck lesions.