To investigate the feasibility of using texture analysis (TA) of apparent diffusion coefficient (ADC) to distinguish between well- and moderate- differentiated head and neck squamous cell carcinoma (HNSCC). A total of 22 patients were retrospectively analyzed, including: well-differentiated degree SCC (WSCC, n=11) and moderate-differentiated degree SCC (MSCC, n=11). A Mean>101.38 at coarse texture scale (SSF=6mm) identified WSCC and MSCC with the highest AUC of 0.843±0.083 (Se=72.7%, Sp=81.8%, PPV=80%, PV=75%, and accuracy=77.3%). Texture analysis of ADC proved to be a feasible tool for differentiating WSCC from MSCC, and had better diagnostic performance than ADC value.
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