Artificial intelligence for automatic detection and segmentation of nasal polyposis: a pilot study.

Journal: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
PMID: 39001915

Abstract

PURPOSE: Accurate diagnosis and quantification of polyps and symptoms are pivotal for planning the therapeutic strategy of Chronic rhinosinusitis with nasal polyposis (CRSwNP). This pilot study aimed to develop an artificial intelligence (AI)-based image analysis system capable of segmenting nasal polyps from nasal endoscopy videos.

Authors

  • Vittorio Rampinelli
    Otorhinolaryngology, Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
  • Alberto Paderno
    Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili of Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy.
  • Carlo Conti
    Unit of Otorhinolaryngology - Head and Neck Surgery, Department of Surgical and Medical Specialties, Radiological Sciences, and Public Health, School of Medicine, ASST Spedali Civili, University of Brescia, Brescia, Italy.
  • Gabriele Testa
    Unit of Otorhinolaryngology - Head and Neck Surgery, Department of Surgical and Medical Specialties, Radiological Sciences, and Public Health, School of Medicine, ASST Spedali Civili, University of Brescia, Brescia, Italy.
  • Claudia Lodovica Modesti
    Unit of Otorhinolaryngology - Head and Neck Surgery, Department of Surgical and Medical Specialties, Radiological Sciences, and Public Health, School of Medicine, ASST Spedali Civili, University of Brescia, Brescia, Italy.
  • Edoardo Agosti
    Division of Neurosurgery, Department of Surgical and Medical Specialties, Radiological Sciences, and Public Health, School of Medicine, ASST Spedali Civili, University of Brescia, Brescia, Italy.
  • Isabelle Dohin
    Unit of Otorhinolaryngology - Head and Neck Surgery, Department of Surgical and Medical Specialties, Radiological Sciences, and Public Health, School of Medicine, ASST Spedali Civili, University of Brescia, Brescia, Italy.
  • Tommaso Saccardo
    Section of Otorhinolaryngology - Head and Neck Surgery, Department of Neurosciences, University of Padova, Padova, PD, Italy.
  • Alessandro Vinciguerra
    Otorhinolaryngology and Skull Base Center, AP-HP, Hospital Lariboisière, Paris, France.
  • Marco Ferrari
    Department of Prosthodontics & Dental Material, University School of Dental Medicine, University of Siena, 53100 Siena, Italy.
  • Alberto Schreiber
    Division of Otorhinolaryngology - Head and Neck Surgery, Department of Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
  • Davide Mattavelli
    Otorhinolaryngology, Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
  • Piero Nicolai
    Division of Otorhinolaryngology - Head and Neck Surgery, Department of Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
  • Chris Holsinger
    Division of Head and Neck Surgery, Department of Otolaryngology, Stanford University, Palo Alto, CA, USA.
  • Cesare Piazza
    Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili of Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy.

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