Advanced imaging techniques and artificial intelligence in pleural diseases: a narrative review.

Journal: European respiratory review : an official journal of the European Respiratory Society
PMID: 40174960

Abstract

BACKGROUND: Pleural diseases represent a significant healthcare burden, affecting over 350 000 patients annually in the US alone and requiring accurate diagnostic approaches for optimal management. Traditional imaging techniques have limitations in differentiating various pleural disorders and invasive procedures are usually required for definitive diagnosis.

Authors

  • Guido Marchi
    Pulmonology Unit, Cardiothoracic and Vascular Department, University Hospital of Pisa, Pisa, Italy (guido.marchi@ao-pisa.toscana.it.
  • Mattia Mercier
    Neurology, Epilepsy and Movement Disorders Unit, Bambino Gesù Children's Hospital, IRCCS, Full Member of European Reference Network EpiCARE, Piazza S. Onofrio 4, 00165, Rome, Italy.
  • Jacopo Cefalo
    Respiratory Unit, ASST Santi Paolo e Carlo, Department of Health Sciences, Università degli Studi di Milano, Milan, Italy.
  • Carmine Salerni
    Respiratory Unit, ASST Santi Paolo e Carlo, Department of Health Sciences, Università degli Studi di Milano, Milan, Italy.
  • Martina Ferioli
    Radiation Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
  • Piero Candoli
    Interventional Pulmonology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
  • Leonardo Gori
    Pulmonology Unit, Department of Experimental and Clinical Medicine, Careggi University Hospital, Florence, Italy.
  • Federico Cucchiara
    Department of Surgical, Medical, Molecular and Critical Pathology, University of Pisa, Pisa, Italy.
  • Giovanni Cenerini
    Department of Surgical, Medical, Molecular and Critical Pathology, University of Pisa, Pisa, Italy.
  • Giacomo Guglielmi
    Department of Surgical, Medical, Molecular and Critical Pathology, University of Pisa, Pisa, Italy.
  • Michele Mondoni
    Respiratory Unit, ASST Santi Paolo e Carlo, Department of Health Sciences, Università degli Studi di Milano, Milan, Italy.

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