Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancers worldwide. While quantified ADC value has been demonstrated to reveal information on the tumor microstructure, the capbility of predicting treatment response is still controversial. This study aim to assess the ability of whole-volume histogram analysis of water diffusion to predict response to induction chemotherapy in patients with HNSCC using multishot readout-segmented MRI. Our findings indicate that the ΔminADC and ΔADC25 values, could be potential biomarkers for predicting early response to induction chemotherapy in patients with HNSCC, which may facilitate the determination of further therapeutic strategy.
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