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Novel Assessment of Interstitial Lung Disease Using the “Computer-Aided Lung Informatics for Pathology Evaluation and Rating” (CALIPER) Software System in Idiopathic Inflammatory Myopathies

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Abstract

Purpose

To evaluate the correlation between measurements from quantitative thoracic high-resolution CT (HRCT) analysis with “Computer-Aided Lung Informatics for Pathology Evaluation and Rating” (CALIPER) software and measurements from pulmonary function tests (PFTs) in patients with idiopathic inflammatory myopathies (IIM)-associated interstitial lung disease (ILD).

Methods

A cohort of patients with IIM-associated ILD seen at Mayo Clinic was identified from medical record review. Retrospective analysis of HRCT data and PFTs at baseline and 1 year was performed. The abnormalities in HRCT were quantified using CALIPER software.

Results

A total of 110 patients were identified. At baseline, total interstitial abnormalities as measured by CALIPER, both by absolute volume and by percentage of total lung volume, had a significant negative correlation with diffusing capacity for carbon monoxide (DLCO), total lung capacity (TLC), and oxygen saturation. Analysis by subtype of interstitial abnormality revealed significant negative correlations between ground glass opacities (GGO) and reticular density (RD) with DLCO and TLC. At one year, changes of total interstitial abnormalities compared with baseline had a significant negative correlation with changes of TLC and oxygen saturation. A negative correlation between changes of total interstitial abnormalities and DLCO was also observed, but it was not statistically significant. Analysis by subtype of interstitial abnormality revealed negative correlations between changes of GGO and RD and changes of DLCO, TLC, and oxygen saturation, but most of the correlations did not achieve statistical significance.

Conclusion

CALIPER measurements correlate well with functional measurements in patients with IIM-associated ILD.

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Funding

This project was supported by CTSA Grant Number UL1 TR000135 from the National Center for Advancing Translational Science (NCATS). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH. Katelynn M. Wilton was supported by the National Institute of General Medical Sciences (T32 GM 65841).

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Correspondence to Floranne C. Ernste.

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None.

Ethical Approval

Approval for this study was obtained from the Mayo Clinic institutional review boards (Mayo Clinic IRB 11-007355). All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standard.

Informed Consent

The need for informed consent was waived.

Additional information

Patompong Ungprasert and Katelynn M. Wilton are the Co-first authors.

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Ungprasert, P., Wilton, K.M., Ernste, F.C. et al. Novel Assessment of Interstitial Lung Disease Using the “Computer-Aided Lung Informatics for Pathology Evaluation and Rating” (CALIPER) Software System in Idiopathic Inflammatory Myopathies. Lung 195, 545–552 (2017). https://doi.org/10.1007/s00408-017-0035-0

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  • DOI: https://doi.org/10.1007/s00408-017-0035-0

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