Automated CT quantification methods for the assessment of interstitial lung disease in collagen vascular diseases: A systematic review.

Autor: van Royen FS; Department of Radiology, Division of Imaging, University Medical Centre Utrecht and Utrecht University, Utrecht, the Netherlands. Electronic address: florienvanroyen@gmail.com., Moll SA; Department of Paediatric Immunology and Infectious Diseases, Wilhelmina Children's Hospital Utrecht, Utrecht, the Netherlands., van Laar JM; Department of Rheumatology and Clinical Immunology, University Medical Centre Utrecht and Utrecht University, Utrecht, the Netherlands., van Montfrans JM; Department of Paediatric Immunology and Infectious Diseases, Wilhelmina Children's Hospital Utrecht, Utrecht, the Netherlands., de Jong PA; Department of Radiology, Division of Imaging, University Medical Centre Utrecht and Utrecht University, Utrecht, the Netherlands., Mohamed Hoesein FAA; Department of Radiology, Division of Imaging, University Medical Centre Utrecht and Utrecht University, Utrecht, the Netherlands.
Jazyk: angličtina
Zdroj: European journal of radiology [Eur J Radiol] 2019 Mar; Vol. 112, pp. 200-206. Date of Electronic Publication: 2019 Jan 24.
DOI: 10.1016/j.ejrad.2019.01.024
Abstrakt: Interstitial lung disease (ILD) is highly prevalent in collagen vascular diseases and reduction of ILD is an important therapeutic target. To that end, reliable quantification of pulmonary disease severity is of great significance. This study systematically reviewed the literature on automated computed tomography (CT) quantification methods for assessing ILD in collagen vascular diseases. PRISMA-DTA guidelines for systematic reviews were used and 19 original research articles up to January 2018 were included based on a MEDLINE/Pubmed and Embase search. Quantitative CT methods were categorized as histogram assessment (12 studies) or pattern/texture recognition (7 studies). R 2 for correlation with visual ILD scoring ranged from 0.143 (p < 0.01) to 0.687 (p < 0.0001), for FVC from 0.048 (p < 0.0001) to 0.504 (p < 0.0001) and for DLCO from 0.015 (p = 0.61) to 0.449 (p < 0.0001). Automated CT methods are independent of reader's expertise and are a promising tool in the quantification of ILD in collagen vascular disease patients.
(Copyright © 2019 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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