The Role of Machine Learning to Detect Occult Neck Lymph Node Metastases in Early-Stage (T1-T2/N0) Oral Cavity Carcinomas.

Journal: Head & neck
Published Date:

Abstract

OBJECTIVE: Oral cavity carcinomas (OCCs) represent roughly 50% of all head and neck cancers. The risk of occult neck metastases for early-stage OCCs ranges from 15% to 35%, hence the need to develop tools that can support the diagnosis of detecting these neck metastases. Machine learning and radiomic features are emerging as effective tools in this field. Thus, the aim of this study is to demonstrate the effectiveness of radiomic features to predict the risk of occult neck metastases in early-stage (T1-T2/N0) OCCs.

Authors

  • Stefania Troise
    Maxillofacial Surgery Unit, Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples Federico II, Via Sergio Pansini 5, Naples 80131, Italy. Electronic address: stefy.troise@gmail.com.
  • Lorenzo Ugga
    Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via S. Pansini, 5, 80131, Naples, Italy.
  • Maria Esposito
    Department of Dermatology, University of Rome Tor Vergata, Rome, Italy.
  • Maria Positano
    Maxillofacial Surgery Unit, Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples Federico II, Naples, Italy.
  • Andrea Elefante
    Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
  • Serena Capasso
    Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
  • Renato Cuocolo
    Department of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
  • Raffaele Merola
    Anesthesia and Intensive Care Medicine, Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples Federico II, Naples, Italy.
  • Umberto Committeri
    Head and Neck Section, Department of Neurosciences, Reproductive and Odontostomatological Science, Federico II University of Naples, Naples, Italy.
  • Vincenzo Abbate
    Department of Analytical, Environmental and Forensic Sciences, King's College London London UK giuseppe.floresta@kcl.ac.uk vincenzo.abbate@kcl.ac.uk.
  • Paola Bonavolontà
    Maxillofacial Surgery Unit, Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples Federico II, Via Sergio Pansini 5, Naples 80131, Italy.
  • Riccardo Nocini
    Unit of Otorhinolaryngology, Head & Neck Department, University of Verona, Verona, Italy.
  • Giovanni Dell'Aversana Orabona

Keywords

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