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Abstract #4740

Whole volume histogram analysis of water diffusion predicts response to induction chemotherapy in patients with head and neck cancer

Xi Lin1, Kai-Lun Cheng2, Hsueh-Ju Lu3, Ying-Hsiang Chou1,4, Yeu-Sheng Tyan1,2, and Ping-Huei Tsai1,2
1Department of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, Taiwan, 2Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung, Taiwan, 3Division of Medical Oncology, Department of Internal Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan, 4Department of Radiation Oncology, Chung Shan Medical University Hospital, Taichung, Taiwan

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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