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Related Experiment Video

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Lung structure and function relation in systemic sclerosis: application of lung densitometry.

Maarten K Ninaber1, Jan Stolk1, Jasper Smit1

  • 1Department of Pulmonology, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, The Netherlands.

European Journal of Radiology
|February 5, 2015
PubMed
Summary
This summary is machine-generated.

Quantitative CT densitometry identified the 85th percentile density (Perc85) as an optimal measure for assessing lung structure in systemic sclerosis (SSc). This method shows significant correlation with pulmonary function, aiding in monitoring lung disease progression.

Keywords:
Chest CT imagingInterstitial lung diseaseLung densitometrySystemic sclerosis

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Area of Science:

  • Radiology and Imaging
  • Pulmonology
  • Rheumatology

Background:

  • Interstitial lung disease (ILD) is a common complication in patients with systemic sclerosis (SSc).
  • Quantitative CT densitometry offers a sensitive method for assessing lung parenchymal damage.
  • Evaluating optimal quantitative CT parameters is crucial for monitoring SSc-ILD progression.

Purpose of the Study:

  • To determine the optimal percentile density score using quantitative CT densitometry in SSc patients.
  • To assess the correlation between quantitative CT densitometry parameters and pulmonary function tests.
  • To establish a structure-function relationship for lung parenchymal changes in SSc.

Main Methods:

  • Chest CT scans and pulmonary function tests (spirometry, gas transfer) were performed on 41 SSc patients.
  • Lung volumes and nth percentile densities (1-99%) were calculated from CT histograms.
  • Regression analysis identified the optimal percentile density correlating with DLCO %predicted.

Main Results:

  • The 85th percentile density (Perc85) showed optimal correlation with DLCO %predicted (R=-0.49, P=0.001) and FVC %predicted (R=-0.64, P<0.001).
  • Significant agreement was found between Perc85 and key pulmonary function measures.
  • Progression analysis in two patients revealed marked changes in Perc85 over two years.

Conclusions:

  • Perc85 is identified as the optimal lung density parameter for quantitative CT in SSc.
  • Perc85 significantly correlates with DLCO and FVC, confirming a lung structure-function relationship.
  • This finding supports further research into whether structural changes precede functional decline in SSc-ILD.