Deep learning informed multimodal fusion of radiology and pathology to predict outcomes in HPV-associated oropharyngeal squamous cell carcinoma.

Journal: EBioMedicine
PMID: 40121941

Abstract

BACKGROUND: We aim to predict outcomes of human papillomavirus (HPV)-associated oropharyngeal squamous cell carcinoma (OPSCC), a subtype of head and neck cancer characterized with improved clinical outcome and better response to therapy. Pathology and radiology focused AI-based prognostic models have been independently developed for OPSCC, but their integration incorporating both primary tumour (PT) and metastatic cervical lymph node (LN) remains unexamined.

Authors

  • Bolin Song
    Digital Science, AbbVie, North Chicago, IL 60064, USA.
  • Amaury Leroy
    Therapanacea, Paris, France.
  • Kailin Yang
    Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, Ohio, USA.
  • Tanmoy Dam
    Department of Biomedical Engineering, Emory University, GA, USA.
  • Xiangxue Wang
    lnstitute for Al in Medicine, School of Artificial lntelligence, Nanjing University of Information Science and Technology, Nanjing, China.
  • Himanshu Maurya
    Department of Biomedical Engineering, Emory University, GA, USA.
  • Tilak Pathak
    Emory Winship Cancer Institute, Atlanta, GA, USA.
  • Jonathan Lee
    Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada.
  • Sarah Stock
    Diagnostics Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Xiao T Li
    Department of Radiology and Imaging Sciences, Emory University Hospital, Atlanta, GA, USA.
  • Pingfu Fu
    Department of Biomedical Engineering, Case Western Reserve University School of Engineering, 2071 Martin Luther King Dr, Cleveland, OH 44106-7207 (M. Khorrami, K.B., A.M.); Departments of Internal Medicine (M. Khunger) and Solid Tumor Oncology (A.Z., P.P.), Cleveland Clinic, Cleveland, Ohio; Department of Internal Medicine, Maimonides Medical Center, Brooklyn, NY (R.T.); Department of Radiology, UT Southwestern Medical Center, Dallas, Tex (P.R.); Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio (P.F.); Department of Hematology and Oncology, New York University, New York, NY (V.V.); Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, Ohio (A.M.).
  • Cheng Lu
    Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, People's Republic of China. lv_cheng0816@163.com.
  • Paula Toro
    Department of Pathology, Universidad Nacional de Colombia, Bogotá, Colombia.
  • Deborah J Chute
    Department of Pathology, Cleveland Clinic, Cleveland, OH, USA.
  • Shlomo Koyfman
    Cleveland Clinic Foundation, Cleveland, Ohio, USA.
  • Nabil F Saba
    Department of Hematology and Medical Oncology, The Winship Cancer Institute, Emory University, Atlanta, GA, USA.
  • Mihir R Patel
    Department of Otolaryngology, Winship Cancer Institute, Atlanta, GA, USA.
  • Anant Madabhushi
    Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.

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