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Imaging in pleural mesothelioma: A review of the 14th International Conference of the International Mesothelioma Interest Group.
Armato, Samuel G; Francis, Roslyn J; Katz, Sharyn I; Ak, Guntulu; Opitz, Isabelle; Gudmundsson, Eyjolfur; Blyth, Kevin G; Gupta, Ashish.
Affiliation
  • Armato SG; Department of Radiology, The University of Chicago, Chicago, Illinois, USA. Electronic address: s-armato@uchicago.edu.
  • Francis RJ; Department of Nuclear Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia; Faculty of Health and Medical Sciences, University of Western Australia Medical School, Australia.
  • Katz SI; Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
  • Ak G; Lung and Pleural Cancers Research and Clinical Center, Eskisehir Osmangazi University, Eskisehir, Turkey.
  • Opitz I; Division of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland.
  • Gudmundsson E; Department of Radiology, The University of Chicago, Chicago, Illinois, USA.
  • Blyth KG; Glasgow Pleural Disease Unit, Queen Elizabeth University Hospital, Glasgow, UK; Institute of Infection, Immunity & Inflammation, University of Glasgow, UK.
  • Gupta A; Department of Radiology, The Ottawa Hospital, Ottawa, Ontario, Canada.
Lung Cancer ; 130: 108-114, 2019 04.
Article in En | MEDLINE | ID: mdl-30885330
ABSTRACT
Mesothelioma patients rely on the information their clinical team obtains from medical imaging. Whether x-ray-based computed tomography (CT) or magnetic resonance imaging (MRI) based on local magnetic fields within a patient's tissues, different modalities generate images with uniquely different appearances and information content due to the physical differences of the image-acquisition process. Researchers are developing sophisticated ways to extract a greater amount of the information contained within these images. This paper summarizes the imaging-based research presented orally at the 2018 International Conference of the International Mesothelioma Interest Group (iMig) in Ottawa, Ontario, Canada, held May 2-5, 2018. Presented topics included advances in the imaging of preclinical mesothelioma models to inform clinical therapeutic strategies, optimization of the time delay between contrast administration and image acquisition for maximized enhancement of mesothelioma tumor on CT, an investigation of image-based criteria for clinical tumor and nodal staging of mesothelioma by contrast-enhanced CT, an investigation of methods for the extraction of mesothelioma tumor volume from MRI and the association of volume with patient survival, the use of deep learning for mesothelioma tumor segmentation in CT, and an evaluation of CT-based radiomics for the prognosis of mesothelioma patient survival.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pleura / Pleural Neoplasms / Diagnostic Imaging / Mesothelioma Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Lung Cancer Journal subject: NEOPLASIAS Year: 2019 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pleura / Pleural Neoplasms / Diagnostic Imaging / Mesothelioma Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Lung Cancer Journal subject: NEOPLASIAS Year: 2019 Document type: Article