Imaging in pleural Mesothelioma: A review of the 16th International Conference of the International Mesothelioma Interest Group.

Autor: Armato SG 3rd; Department of Radiology, The University of Chicago, Chicago, IL, USA. Electronic address: s-armato@uchicago.edu., Katz SI; Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA., Frauenfelder T; Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland., Jayasekera G; Glasgow Pleural Disease Unit, Queen Elizabeth University Hospital, Glasgow, UK and School of Cancer Sciences, University of Glasgow, UK., Catino A; Medical Thoracic Oncology Unit, IRCCS Istituto Tumori 'Giovanni Paolo II,' BARI, Italy., Blyth KG; Cancer Research UK Scotland Centre, Glasgow, UK and Glasgow Pleural Disease Unit, Queen Elizabeth University Hospital, Glasgow, UK and School of Cancer Sciences, University of Glasgow, UK., Theodoro T; Institute of Computing, University of Campinas, Campinas, Brazil and Cancer Research UK Scotland Centre, Glasgow, UK., Rousset P; Department of Radiology, Lyon Sud University Hospital, Hospices Civils de Lyon, Lyon 1 University, Pierre-Bénite, France., Nackaerts K; Department of Pulmonology/Respiratory Oncology, KU Leuven, University Hospitals Leuven, Leuven, Belgium., Opitz I; Department of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland.
Jazyk: angličtina
Zdroj: Lung cancer (Amsterdam, Netherlands) [Lung Cancer] 2024 Jul; Vol. 193, pp. 107832. Date of Electronic Publication: 2024 May 31.
DOI: 10.1016/j.lungcan.2024.107832
Abstrakt: Imaging continues to gain a greater role in the assessment and clinical management of patients with mesothelioma. This communication summarizes the oral presentations from the imaging session at the 2023 International Conference of the International Mesothelioma Interest Group (iMig), which was held in Lille, France from June 26 to 28, 2023. Topics at this session included an overview of best practices for clinical imaging of mesothelioma as reported by an iMig consensus panel, emerging imaging techniques for surgical planning, radiologic assessment of malignant pleural effusion, a radiomics-based transfer learning model to predict patient response to treatment, automated assessment of early contrast enhancement, and tumor thickness for response assessment in peritoneal mesothelioma.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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