Interval changes of histogram-derived diffusion indices predict treatment response to induction chemotherapy in head and neck cancer: a feasibility study
| Autor: | Kai-Lun, Cheng, Hsueh-Ju, Lu, Xi, Lin, Hui-Yu, Wang, Ying-Hsiang, Chou, Yeu-Sheng, Tyan, Ping-Huei, Tsai |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Quantitative Imaging in Medicine and Surgery. 12:5383-5393 |
| ISSN: | 2223-4306 2223-4292 |
| DOI: | 10.21037/qims-22-263 |
| Popis: | This retrospective study investigated whether the interval change of apparent diffusion coefficient (∆ADC) [baseline and after the first cycle of induction chemotherapy (ICT)] can be used as a valid predictive imaging biomarker of the treatment response to ICT in head and neck cancer (HNC).A total of 19 consecutive patients with HNC who underwent diffusion-weighted magnetic resonance imaging (DWI) at baseline and after the first cycle of ICT were included. Whole-tumor ADC histogram parameters (mean, median, kurtosis, skewness, entropy, minimal, maximum, 25th percentile, and 75th percentile) were obtained. The correlations of ∆ADC histogram parameters, volume, T-stage, N-stage, and age with the treatment response were examined using the Mann-Whitney U test. The predictive value of histogram parameters was examined using receiver operating characteristic (ROC) curves.Responders showed significantly higher values of ∆ADC∆ADC |
| Databáze: | OpenAIRE |
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