Deep learning approach of diffusion-weighted imaging as an outcome predictor in laryngeal and hypopharyngeal cancer patients with radiotherapy-related curative treatment: a preliminary study

Objectives This preliminary study aimed to develop a deep learning (DL) model using diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) maps to predict local recurrence and 2-year progression-free survival (PFS) in laryngeal and hypopharyngeal cancer patients treated with vario...

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Veröffentlicht in:European radiology 2022-08, Vol.32 (8), p.5353-5361
Hauptverfasser: Tomita, Hayato, Kobayashi, Tatsuaki, Takaya, Eichi, Mishiro, Sono, Hirahara, Daisuke, Fujikawa, Atsuko, Kurihara, Yoshiko, Mimura, Hidefumi, Kobayashi, Yasuyuki
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Sprache:eng
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