Stimulated Raman Histology and Artificial Intelligence Provide Near Real-Time Interpretation of Radical Prostatectomy Surgical Margins.

Journal: The Journal of urology
PMID: 39689226

Abstract

PURPOSE: Balancing surgical margins and functional outcomes is crucial during radical prostatectomy for prostate cancer. Stimulated Raman histology (SRH) is a novel, real-time imaging technique that provides histologic images of fresh, unprocessed, and unstained tissue within minutes, which can be interpreted by either humans or artificial intelligence.

Authors

  • Miles P Mannas
    Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada.
  • Fang-Ming Deng
    Department of Pathology, NYU Langone Health, New York, New York.
  • Adrian Ion-Margineanu
    Invenio Imaging Inc., Santa Clara, California.
  • Christian Freudiger
    Invenio Imaging, Santa Clara, California.
  • Lea Lough
    GeneCentrix Inc, New York, New York.
  • William Huang
    Department of Urology, NYU Langone Health, New York, New York.
  • James Wysock
    Department of Urology, NYU Langone Health, New York, New York.
  • Richard Huang
    Department of Urology, NYU Langone Health, New York, New York.
  • Steve Pastore
    Invenio Imaging, Santa Clara, California.
  • Derek Jones
    Global Security, Computing Applications Division, Computing Directorate, Lawrence Livermore National Laboratory, 7000 East Avenue, Livermore, California 94550, United States.
  • Deepthi Hoskoppal
    Department of Pathology, NYU Langone Health, New York, New York.
  • Jonathan Melamed
    New York University, School of Medicine, Department of Pathology, New York, New York, United States.
  • Daniel A Orringer
    Departments of1Neurosurgery.
  • Samir S Taneja

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