Multimodal deep-learning model using pre-treatment endoscopic images and clinical information to predict efficacy of neoadjuvant chemotherapy in esophageal squamous cell carcinoma.

Journal: Esophagus : official journal of the Japan Esophageal Society
PMID: 39792350

Abstract

BACKGROUND: Neoadjuvant chemotherapy is standard for advanced esophageal squamous cell carcinoma, though often ineffective. Therefore, predicting the response to chemotherapy before treatment is desirable. However, there is currently no established method for predicting response to neoadjuvant chemotherapy. This study aims to build a deep-learning model to predict the response of esophageal squamous cell carcinoma to preoperative chemotherapy by utilizing multimodal data integrating esophageal endoscopic images and clinical information.

Authors

  • Takuma Miura
    Department of Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan. tackman88888@gmail.com.
  • Takumi Yashima
    Department of Clinical Imaging, Tohoku University Graduate School of Medicine, Sendai, Japan.
  • Eichi Takaya
    Graduate School of Science and Technology, Keio University.
  • Yusuke Taniyama
    Department of Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan.
  • Chiaki Sato
    Institute of Innovative Research, Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midoriku Yokohama, 226-8503, Japan.
  • Hiroshi Okamoto
    Research & Technology Group, Fuji Xerox Co., Ltd., Kanagawa, Japan; RIKEN Brain Science Institute, Saitama, Japan. Electronic address: hiroshi.okamoto@fujixerox.co.jp.
  • Yohei Ozawa
    Department of Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan.
  • Hirotaka Ishida
    Department of Surgery, Tohoku University Graduate School of Medicine, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan.
  • Michiaki Unno
    Department of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
  • Takuya Ueda
    Department of Clinical Imaging, Tohoku University Graduate School of Medicine, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan. takuya.ueda.d3@tohoku.ac.jp.
  • Takashi Kamei

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