Literature DB >> 32191491

Association of Computed Tomography Densitometry with Disease Severity, Functional Decline, and Survival in Systemic Sclerosis-associated Interstitial Lung Disease.

Daniela Castillo Saldana1,2, Cameron J Hague3, Darra Murphy3, Harvey O Coxson1, Juerg Tschirren4, Sam Peterson4, Jered P Sieren4, Miranda Kirby5, Christopher J Ryerson1,2.   

Abstract

Rationale: Measuring disease extent and progression of systemic sclerosis-associated interstitial lung disease (SSc-ILD) is challenging, with recent studies suggesting potential utility of quantitative measurements from computed tomography (CT) scans.
Objectives: To determine the associations of quantitative computed tomography (qCT) density-based measures with physiological parameters, visual CT scores, and survival in patients with SSc-ILD.
Methods: Patients with SSc-ILD and volumetric high-resolution CT images with ≤1.25-mm slice thickness were retrospectively identified. Cardiothoracic radiologists produced visual CT scores of ground glass, reticulation, and honeycombing, with visual fibrosis score equaling the sum of reticulation and honeycombing. qCT measurements included high-attenuation areas (HAA), skewness, kurtosis, and mean lung attenuation (MLA). Associations of qCT measures with pulmonary physiology, visual CT scores, and mortality were analyzed using Spearman's rank correlation and Cox regression.
Results: A total of 503 CT scans from 170 patients with SSc-ILD were included. qCT HAA, skewness, kurtosis, and MLA were associated with lung function and visual fibrosis scores, independent of age, sex, and pack-years, using both baseline and change data. Baseline and changes in qCT measures (except ∆skewness) were associated with mortality on unadjusted analysis. Changes in all qCT variables remained associated with survival after adjustment for baseline age, sex, pack-years, and lung function, but not when adjusting for changes in lung function. ∆HAA and ∆MLA were associated with survival after adjustment for age, sex, pack-years, and change in visual CT scores.Conclusions: CT density measurements correlate with physiologic impairment and visual CT scores in patients with SSc-ILD; however, they were not associated with survival independent of changes in pulmonary physiology. The clinical utility of more sophisticated qCT measures should be explored.

Entities:  

Keywords:  interstitial lung disease; pulmonary fibrosis; quantitative scoring; scleroderma; systemic sclerosis

Mesh:

Year:  2020        PMID: 32191491     DOI: 10.1513/AnnalsATS.201910-741OC

Source DB:  PubMed          Journal:  Ann Am Thorac Soc        ISSN: 2325-6621


  5 in total

1.  The disconnect between visual assessment of air trapping and lung physiology for assessment of small airway disease in scleroderma-related interstitial lung disease: An observation from the Scleroderma Lung Study II Cohort.

Authors:  Sangmee Sharon Bae; Lila Pourzand; Grace Hyun Kim; Bianca E Villegas; Andrea Oh; Daniel E Furst; Jonathan Goldin; Donald P Tashkin
Journal:  J Scleroderma Relat Disord       Date:  2021-10-23

Review 2.  Update in Interstitial Lung Disease 2020.

Authors:  Anna J Podolanczuk; Alyson W Wong; Shigeki Saito; Joseph A Lasky; Christopher J Ryerson; Oliver Eickelberg
Journal:  Am J Respir Crit Care Med       Date:  2021-06-01       Impact factor: 21.405

Review 3.  The Relationship between Pulmonary Damage and Peripheral Vascular Manifestations in Systemic Sclerosis Patients.

Authors:  Barbara Ruaro; Marco Confalonieri; Francesco Salton; Barbara Wade; Elisa Baratella; Pietro Geri; Paola Confalonieri; Metka Kodric; Marco Biolo; Cosimo Bruni
Journal:  Pharmaceuticals (Basel)       Date:  2021-04-23

4.  Computed Tomography Predictors of Mortality or Disease Progression in Systemic Sclerosis-Interstitial Lung Disease: A Systematic Review.

Authors:  Nicholas Landini; Martina Orlandi; Cosimo Bruni; Edoardo Carlesi; Cosimo Nardi; Linda Calistri; Giovanni Morana; Sara Tomassetti; Stefano Colagrande; Marco Matucci-Cerinic
Journal:  Front Med (Lausanne)       Date:  2022-01-27

5.  Computed tomography-based radiomics decodes prognostic and molecular differences in interstitial lung disease related to systemic sclerosis.

Authors:  Janine Schniering; Malgorzata Maciukiewicz; Hubert S Gabrys; Matthias Brunner; Christian Blüthgen; Chantal Meier; Sophie Braga-Lagache; Anne-Christine Uldry; Manfred Heller; Matthias Guckenberger; Håvard Fretheim; Christos T Nakas; Anna-Maria Hoffmann-Vold; Oliver Distler; Thomas Frauenfelder; Stephanie Tanadini-Lang; Britta Maurer
Journal:  Eur Respir J       Date:  2022-05-19       Impact factor: 33.795

  5 in total

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