Literature DB >> 30337445

COPD biomarkers and phenotypes: opportunities for better outcomes with precision imaging.

George R Washko1, Grace Parraga2,3.   

Abstract

A number of chronic diseases have benefited from both imaging and personalised medicine, but unfortunately, for patients with chronic obstructive pulmonary disease (COPD), there has been little clinical uptake or recognition of the key advances in thoracic imaging that might help detect disease early, or, perhaps more importantly, might help develop and phenotype patients for novel or personalised therapies that may halt disease progression. We outline our vision for how computed tomography and magnetic resonance imaging may be used to better inform COPD patient care, and, perhaps more importantly, how these may be used to help develop new therapies directed at early disease. We think that imaging and precision medicine should be considered and used together as "precision imaging" at specific stages of COPD when the major pathologies may be more responsive to therapy. While "precision medicine" is the tailoring of medical treatment to individual patients, we define "precision imaging" as the tailoring of specific therapies and interventions to individual patients with a detailed quantitative understanding of their specific imaging phenotypes and measurements. Finally, we stress the importance of "seeing" the pathology, because without this understanding, you can neither treat nor cure patients with COPD.
Copyright ©ERS 2018.

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Year:  2018        PMID: 30337445     DOI: 10.1183/13993003.01570-2018

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  7 in total

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Authors:  Sina Tafti; William J Garrison; John P Mugler; Y Michael Shim; Talissa A Altes; Jaime F Mata; Eduard E de Lange; Gordon D Cates; Alan M Ropp; Chengbo Wang; G Wilson Miller
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Review 3.  Pulmonary Functional Imaging: Part 2-State-of-the-Art Clinical Applications and Opportunities for Improved Patient Care.

Authors:  Warren B Gefter; Kyung Soo Lee; Mark L Schiebler; Grace Parraga; Joon Beom Seo; Yoshiharu Ohno; Hiroto Hatabu
Journal:  Radiology       Date:  2021-04-13       Impact factor: 29.146

4.  Quantitative CT metrics are associated with longitudinal lung function decline and future asthma exacerbations: Results from SARP-3.

Authors:  James G Krings; Charles W Goss; Daphne Lew; Maanasi Samant; Mary Clare McGregor; Jonathan Boomer; Leonard B Bacharier; Ajay Sheshadri; Chase Hall; Joshua Brownell; Ken B Schechtman; Samuel Peterson; Stephen McEleney; David T Mauger; John V Fahy; Sean B Fain; Loren C Denlinger; Elliot Israel; George Washko; Eric Hoffman; Sally E Wenzel; Mario Castro
Journal:  J Allergy Clin Immunol       Date:  2021-02-09       Impact factor: 14.290

5.  Bullous Parametric Response Map for Functional Localization of COPD.

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Journal:  J Digit Imaging       Date:  2022-01-11       Impact factor: 4.056

Review 6.  Artificial intelligence in functional imaging of the lung.

Authors:  Raúl San José Estépar
Journal:  Br J Radiol       Date:  2021-12-10       Impact factor: 3.629

7.  Defect distribution index: A novel metric for functional lung MRI in cystic fibrosis.

Authors:  Anne Valk; Corin Willers; Kamal Shahim; Orso Pusterla; Grzegorz Bauman; Robin Sandkühler; Oliver Bieri; Florian Wyler; Philipp Latzin
Journal:  Magn Reson Med       Date:  2021-08-02       Impact factor: 3.737

  7 in total

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