Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study.

Journal: Abdominal radiology (New York)
PMID:

Abstract

PURPOSE: To evaluate an MRI-based radiomic texture classifier alone and combined with radiologist qualitative assessment in predicting pathological complete response (pCR) using restaging MRI with internal training and external validation.

Authors

  • Natally Horvat
    Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Harini Veeraraghavan
    Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY; veerarah@mskcc.org.
  • Caio S R Nahas
    Department of Surgery, University of Sao Paulo, Sao Paulo, SP, Brazil.
  • David D B Bates
    Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY, 10065, USA.
  • Felipe R Ferreira
    Department of Radiology, University of Sao Paulo, Sao Paulo, SP, Brazil.
  • Junting Zheng
    Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Marinela Capanu
    Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • James L Fuqua
    Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY, 10065, USA.
  • Maria Clara Fernandes
    Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA.
  • Ramon E Sosa
    Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY, 10065, USA.
  • Vetri Sudar Jayaprakasam
    Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY, 10065, USA.
  • Giovanni G Cerri
    Department of Radiology, University of Sao Paulo, Sao Paulo, SP, Brazil.
  • Sergio C Nahas
    Department of Surgery, University of Sao Paulo, Sao Paulo, SP, Brazil.
  • Iva Petkovska
    Body Imaging Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.