Machine Learning-Driven SERS Analysis Platform for Accurate and Rapid Diagnosis of Peritoneal Metastasis from Gastric Cancer.

Journal: Annals of surgical oncology
Published Date:

Abstract

BACKGROUND: Peritoneal metastasis (PM) is the most common form of distant metastasis in gastric cancer and is a major cause of mortality. Current diagnostic approaches suffer from low sensitivity, time-consuming procedures, and cannot provide real-time diagnostic information. Surface-enhanced Raman spectroscopy (SERS) combined with machine learning algorithms has emerged as a promising tool for cancer diagnosis.

Authors

  • Bowen Shi
    Shanghai World Foreign Language Academy, Hongcao South Road, 200233 Shanghai, China. Electronic address: KOTUHugh@163.com.
  • Sheng Lu
    Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, PR China. Electronic address: lusheng@vip.126.com.
  • Luke Zhang
    Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xinran Wang
    Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
  • Yu Chen
    State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
  • Feng Bian
    Department of General Surgery, Wuxi Branch of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Wuxi, China.
  • Zhong Zhang
    School of Mechanical and Aerospace Engineering, Jilin University, Changchun, China.
  • Yongkang Xu
    Department of General Surgery, Wuxi Branch of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Wuxi, China.
  • Hexia Luo
    Department of General Surgery, Wuxi Branch of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Wuxi, China.
  • Huan Zhang
    Department of Plant Protection, Zhejiang University, 866 Yuhangtang Road, 5 Hangzhou 310058, China.
  • Weiwu Yao
    Department of Imaging, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, No. 1111 Xianxia Road, Changning District, Shanghai, 200336, China. yaoweiwuhuan@163.com.
  • Chao Yan
    School of Pharmacy, Shanghai Jiao Tong University, Shanghai 200240, China.

Keywords

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