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Predictive value of serial high-resolution computed tomography analyses and concurrent lung function tests in

Anna-Maria Hoffmann-Vold1, Trond M Aaløkken2, May Brit Lund2

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Summary
This summary is machine-generated.

High-resolution computed tomography (HRCT) at baseline can predict lung fibrosis progression and pulmonary function decline in systemic sclerosis (SSc) patients. This imaging tool aids in assessing individual risk for interstitial lung disease (ILD) in SSc.

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Area of Science:

  • Rheumatology
  • Pulmonology
  • Radiology

Background:

  • Systemic sclerosis (SSc) frequently leads to progressive interstitial lung disease (ILD), a major cause of mortality.
  • Current methods for predicting ILD progression in SSc patients are limited, necessitating improved risk stratification tools.

Purpose of the Study:

  • To evaluate the predictive value of detailed serial lung fibrosis measurements from high-resolution computed tomography (HRCT) scans and pulmonary function tests (PFTs) in a prospective cohort of SSc patients.
  • To identify reliable outcome prediction tools for ILD in SSc.

Main Methods:

  • Prospective cohort study of 305 SSc patients meeting ACR/EULAR 2013 criteria.
  • Paired HRCT scans and PFTs were obtained at baseline and follow-up (mean 3.1 years).
  • Fibrosis extent was quantified on HRCT as a percentage of total lung volume.

Main Results:

  • Baseline HRCT identified three fibrosis subgroups: >20% (n=40), 1-20% (n=157), and no fibrosis (n=108).
  • Annual fibrosis progression rates varied significantly across groups (0% to 5.9%).
  • Baseline fibrosis extent and forced vital capacity (FVC) predicted >20% fibrosis at follow-up; anticentromere antibodies and baseline DLco predicted no fibrosis.

Conclusions:

  • Baseline HRCT is a valuable tool for predicting the development and progression of lung fibrosis in SSc.
  • HRCT findings, combined with PFTs, can predict pulmonary function decline in SSc patients with ILD.
  • These data support the use of baseline HRCT for individual risk stratification of ILD in SSc.