Literature DB >> 30885330

Imaging in pleural mesothelioma: A review of the 14th International Conference of the International Mesothelioma Interest Group.

Samuel G Armato1, Roslyn J Francis2, Sharyn I Katz3, Guntulu Ak4, Isabelle Opitz5, Eyjolfur Gudmundsson6, Kevin G Blyth7, Ashish Gupta8.   

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.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Clinical staging; Deep learning; Dynamic contrast-enhanced CT; Patient outcomes; Preclinical imaging; Radiomics; Tumor segmentation; Tumor volume

Mesh:

Year:  2018        PMID: 30885330      PMCID: PMC6548565          DOI: 10.1016/j.lungcan.2018.11.033

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  2 in total

Review 1.  New Era for Malignant Pleural Mesothelioma: Updates on Therapeutic Options.

Authors:  Anne S Tsao; Harvey I Pass; Andreas Rimner; Aaron S Mansfield
Journal:  J Clin Oncol       Date:  2022-01-05       Impact factor: 44.544

2.  Impact of CT convolution kernel on robustness of radiomic features for different lung diseases and tissue types.

Authors:  Sarah Denzler; Diem Vuong; Marta Bogowicz; Matea Pavic; Thomas Frauenfelder; Sandra Thierstein; Eric Innocents Eboulet; Britta Maurer; Janine Schniering; Hubert Szymon Gabryś; Isabelle Schmitt-Opitz; Miklos Pless; Robert Foerster; Matthias Guckenberger; Stephanie Tanadini-Lang
Journal:  Br J Radiol       Date:  2021-02-05       Impact factor: 3.039

  2 in total

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