Quantitative computed tomography in systemic sclerosis-associated interstitial lung disease
department or school: Medicine, Faculty of
department or school: Medicine, Department of
data provider: DSpace
degree campus: UBCV
creator: Castillo Saldana, Daniela
issued: 2019-08-21T15:41:07Z
issued: 2019
related degree: Master of Science - MSc
degree grantor: University of British Columbia
description: Rationale: Systemic sclerosis (SSc) is frequently complicated by interstitial lung disease (ILD), which is associated with significant morbidity and mortality in this population. Measuring disease extent and progression of SSc-ILD is challenging, with recent studies suggesting potential utility of quantitative measurements from computed tomography (CT) scans. Our objective was to determine the associations of CT density-based measurements 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 ≤1.25mm slice thickness were retrospectively identified. Cardiothoracic radiologists with >5 years’ experience produced visual CT scores of ground-glass, reticulation, and honeycombing, to the nearest 5%. Visual fibrosis scores were calculated as the sum of reticulation and honeycombing. CT density measurements included high attenuation areas (HAA), skewness, kurtosis, and mean lung attenuation (MLA), which were determined after excluding large airways and blood vessels. Associations of qCT measures with pulmonary physiology, visual CT scores, and mortality were analyzed using Spearman rank correlation and Cox regression. Results: 502 CT scans and 1084 PFTs from 170 patients with SSc-ILD were included. Baseline HAA, skewness, kurtosis, and MLA were associated with FVC (p<0.001), DLCO (p≤0.001), and visual fibrosis scores (p≤0.004). Changes in the qCT variables also correlated with concurrent changes in FVC (p≤0.02), DLCO (p≤0.01), and visual fibrosis scores (p≤0.004). Associations with physiology measures and visual CT scores did not change after adjustment for age, sex, and pack-years. All four baseline qCT variables (p0.005), ∆HAA (p<0.001), ∆kurtosis (p=0.04), and ∆MLA (p=0.006) predicted mortality on unadjusted analysis. ∆HAA and ∆MLA remained predictors of mortality after adjustment for visual CT scores. Changes in all four qCT variables remained independent predi…
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/71358
note: QUANTITATIVE COMPUTED TOMOGRAPHY IN SYSTEMIC SCLEROSIS-ASSOCIATED INTERSTITIAL LUNG DISEASE by Daniela Castillo Saldana B.Sc., The University of British Columbia, 2017 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE in The Faculty of Graduate and Postdoctoral Studies (Experimental Medicine) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) August 2019 ã Daniela Castillo Saldana, 2019 ii The following individuals certify that they have read, and recommend to the Faculty of Graduate and Postdoctoral Studies for acceptance, the thesis entitled: Quantitative computed tomography in systemic sclerosis-associated interstitial lung disease submitted by Daniela Castillo Saldana in partial fulfillment of the requirements for the degree of Master of Science in Experimental Medicine Examining Committee: Christopher J. Ryerson Supervisor Miranda Kirby Supervisory Committee Member Cameron Hague Supervisory Committee Member Darra Murphy Supervisory Committee Member Jim Hogg Additional Examiner iii Abstract Rationale: Systemic sclerosis (SSc) is frequently complicated by interstitial lung disease (ILD), which is associated with significant morbidity and mortality in this population. Measuring disease extent and progression of SSc-ILD is challenging, with recent studies suggesting potential utility of quantitative measurements from computed tomography (CT) scans. Our objective was to determine the associations of CT density-based measurements 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 ≤1.25mm slice thickness were retrospectively identified. Cardiothoracic radiologists with >5 years’ experience produced visual CT scores of ground-glass, reticulation, and honeycombing, to the nearest 5%. Visual fibrosis scores were calculated as the sum of reticulation and honeycombing. CT density measurements included high attenuation…
has type: Thesis/Dissertation
date issued: 2019-09
is shown at: 10.14288/1.0380516
language: eng
degree discipline: Experimental Medicine
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
type: Text
identifier URI: http://hdl.handle.net/2429/71358