Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning.

Journal: European radiology
Published Date: Apr 12, 2019

Abstract

OBJECTIVES: This study was conducted in order to evaluate a novel risk stratification model using dual-energy CT (DECT) texture analysis of head and neck squamous cell carcinoma (HNSCC) with machine learning to (1) predict associated cervical lymphadenopathy and (2) compare the accuracy of spectral versus single-energy (65 keV) texture evaluation for endpoint prediction.

Authors

  • Reza Forghani
    Department of Radiology, McGill University Health Centre, 1001 Decarie Blvd, Room C02.5821, Montreal, QC, Canada H4A 3J1; Augmented Intelligence & Precision Health Laboratory (AIPHL), Research Institute of the McGill University Health Centre, Montreal, Canada; Segal Cancer Centre and Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada; Gerald Bronfman Department of Oncology, McGill University, Montreal, Canada; and Department of Otolaryngology-Head and Neck Surgery, McGill University, Montreal, Canada.
  • Avishek Chatterjee
    Medical Physics Unit, McGill University and Cedars Cancer Center, 1001 Décarie Blvd, Montréal, QC, H4A 3J1, Canada.
  • Caroline Reinhold
    Department of Radiology, McGill University Health Center, Montréal, Québec, Canada.
  • Almudena Pérez-Lara
    Segal Cancer Centre and Lady Davis Institute for Medical Research, Jewish General Hospital, Room C-212.1, 3755 Cote Ste-Catherine Road, Montreal, QC, H3T 1E2, Canada.
  • Griselda Romero-Sanchez
    Segal Cancer Centre and Lady Davis Institute for Medical Research, Jewish General Hospital, Room C-212.1, 3755 Cote Ste-Catherine Road, Montreal, QC, H3T 1E2, Canada.
  • Yoshiko Ueno
    Department of Radiology, Royal Victoria Hospital, McGill University Health Centre, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada.
  • Maryam Bayat
    Segal Cancer Centre and Lady Davis Institute for Medical Research, Jewish General Hospital, Room C-212.1, 3755 Cote Ste-Catherine Road, Montreal, QC, H3T 1E2, Canada.
  • James W M Alexander
    Segal Cancer Centre and Lady Davis Institute for Medical Research, Jewish General Hospital, Room C-212.1, 3755 Cote Ste-Catherine Road, Montreal, QC, H3T 1E2, Canada.
  • Lynda Kadi
    Segal Cancer Centre and Lady Davis Institute for Medical Research, Jewish General Hospital, Room C-212.1, 3755 Cote Ste-Catherine Road, Montreal, QC, H3T 1E2, Canada.
  • Jeffrey Chankowsky
    Department of Radiology, Royal Victoria Hospital, McGill University Health Centre, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada.
  • Jan Seuntjens
    Medical Physics Unit, McGill University and Cedars Cancer Center, 1001 Décarie Blvd, Montréal, QC, H4A 3J1, Canada.
  • Behzad Forghani
    Department of Radiology and Research Institute of the McGill University Health Centre, McGill University, Room C02.5821, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada.

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