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Related Experiment Video

Updated: Mar 31, 2026

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease
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A comparison of visual and quantitative methods to identify interstitial lung abnormalities.

Corrine R Kliment1, Tetsuro Araki2, Tracy J Doyle3

  • 1From the Pulmonary and Critical Care Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. kliment.corrine@gmail.com.

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|October 31, 2015
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Summary

Quantitative lung density metrics show potential for assessing lung volume reduction but are not highly predictive of interstitial lung abnormalities (ILA) on CT scans alone. Further research is needed to refine these automated methods for ILD risk assessment.

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Area of Science:

  • Pulmonary Medicine
  • Radiology
  • Quantitative Imaging

Background:

  • Interstitial lung abnormalities (ILA) on chest CT scans are linked to increased risk of interstitial lung disease (ILD).
  • Both automated quantitative and visual inspection methods exist for ILA detection, but direct comparisons are limited.
  • This study aimed to compare quantitative lung density metrics with visual assessments of ILA.

Purpose of the Study:

  • To compare quantitative lung density metrics with visual assessment for detecting interstitial lung abnormalities (ILA).
  • To evaluate the predictive value of lung density metrics for interstitial lung disease (ILD) risk.
  • To explore associations between lung density, clinical factors, and genotypes.

Main Methods:

  • High attenuation areas (HAAs) were quantified in over 4500 participants from the COPDGene and Framingham Heart studies (FHS).
  • Linear and logistic regression analyses were used to compare HAAs with visual ILA assessments.
  • Associations with emphysema, BMI, lung capacity, and MUC5B genotype were examined.

Main Results:

  • Increased HAAs (≥10% lung volume) significantly correlated with visually assessed ILA in both cohorts (P < 0.0001).
  • Positive predictive values for ILA were modest (19% in COPDGene, 13% in FHS).
  • HAAs associated with reduced total lung capacity but not MUC5B genotype; associations were modified by emphysema and BMI in COPDGene.

Conclusions:

  • Increased lung density metrics (HAAs) can aid in assessing lung volume reduction severity.
  • Quantitative lung density metrics alone are not strongly predictive of visually assessed ILA.
  • HAAs were not associated with MUC5B promoter genotype, suggesting distinct underlying mechanisms.