Automated quantitative computed tomography versus visual computed tomography scoring in idiopathic pulmonary fibrosis validation against pulmonary function

Joseph Jacob, Brian Jack Bartholmai, Srinivasan Rajagopalan, Maria Kokosi, Arjun Nair, Ronald Karwoski, Sushravya M. Raghunath, Simon L. Walsh, Athol U. Wells, David M. Hansell

Research output: Contribution to journalArticle

47 Citations (Scopus)

Abstract

The aim of the study was to determine whether a novel computed tomography (CT) postprocessing software technique (CALIPER) is superior to visual CT scoring as judged by functional correlations in idiopathic pulmonary fibrosis (IPF). Materials and Methods: A total of 283 consecutive patients with IPF had CT parenchymal patterns evaluated quantitatively with CALIPER and by visual scoring. These 2 techniques were evaluated against: forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), diffusing capacity for carbon monoxide (DLco), carbon monoxide transfer coefficient (Kco), and a composite physiological index (CPI), with regard to extent of interstitial lung disease (ILD), extent of emphysema, and pulmonary vascular abnormalities. Results: CALIPER-derived estimates of ILD extent demonstrated stronger univariate correlations than visual scores for most pulmonary function tests (PFTs): (FEV1: CALIPER R2=0.29, visual R2=0.18; FVC: CALIPER R2=0.41, visual R2=0.27; DLco: CALIPER R2=0.31, visual R2=0.35; CPI: CALIPER R2=0.48, visual R2=0.44). Correlations between CT measures of emphysema extent and PFTs were weak and did not differ significantly between CALIPER and visual scoring. Intriguingly, the pulmonary vessel volume provided similar correlations to total ILD extent scored by CALIPER for FVC, DLco, and CPI (FVC: R2=0.45; DLco: R2=0.34; CPI: R2=0.53). Conclusions: CALIPER was superior to visual scoring as validated by functional correlations with PFTs. The pulmonary vessel volume, a novel CALIPER CT parameter with no visual scoring equivalent, has the potential to be a CT feature in the assessment of patients with IPF and requires further exploration.

Original languageEnglish (US)
Pages (from-to)304-311
Number of pages8
JournalJournal of Thoracic Imaging
Volume31
Issue number5
DOIs
StatePublished - Aug 23 2016
Externally publishedYes

Fingerprint

Idiopathic Pulmonary Fibrosis
Vital Capacity
Tomography
Lung
Respiratory Function Tests
Interstitial Lung Diseases
Forced Expiratory Volume
Carbon Monoxide
Pulmonary Emphysema
Emphysema
Blood Vessels
Software

Keywords

  • idiopathic pulmonary fibrosis
  • pulmonary vessel volume
  • quantitative computer analysis
  • visual computed tomography analysis

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Pulmonary and Respiratory Medicine

Cite this

Automated quantitative computed tomography versus visual computed tomography scoring in idiopathic pulmonary fibrosis validation against pulmonary function. / Jacob, Joseph; Bartholmai, Brian Jack; Rajagopalan, Srinivasan; Kokosi, Maria; Nair, Arjun; Karwoski, Ronald; Raghunath, Sushravya M.; Walsh, Simon L.; Wells, Athol U.; Hansell, David M.

In: Journal of Thoracic Imaging, Vol. 31, No. 5, 23.08.2016, p. 304-311.

Research output: Contribution to journalArticle

Jacob, Joseph ; Bartholmai, Brian Jack ; Rajagopalan, Srinivasan ; Kokosi, Maria ; Nair, Arjun ; Karwoski, Ronald ; Raghunath, Sushravya M. ; Walsh, Simon L. ; Wells, Athol U. ; Hansell, David M. / Automated quantitative computed tomography versus visual computed tomography scoring in idiopathic pulmonary fibrosis validation against pulmonary function. In: Journal of Thoracic Imaging. 2016 ; Vol. 31, No. 5. pp. 304-311.
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AU - Karwoski, Ronald

AU - Raghunath, Sushravya M.

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