Slide Presentations: Wednesday, October 26, 2011 |

Correlation of Automated Quantitative Measures of Interstitial Lung Disease (ILD) Using CALIPER With Semiquantitative Visual Radiology Scores FREE TO VIEW

Sushravya Raghunath, MS; Teng Moua, MD; Colin Segovis, BS; Fabien Maldonado, MD; Jay Ryu, MD; Paul Decker, BS; Srinivasan Rajagopalan, PhD; Ronald Karwoski, BS; Richard Robb, PhD; Brian Bartholmai, MD
Chest. 2011;140(4_MeetingAbstracts):1042A. doi:10.1378/chest.1119955
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PURPOSE: Inter- and intra-rater variability of semi-objective visual radiology scores makes quantitation of lung opacities on high-resolution computed tomography (HRCT) subjective and unreliable. Computer Aided Lung Informatics for Pathology Evaluation and Rating (CALIPER) is an automated quantitative imaging tool developed at Mayo Clinic, Rochester, MN, that allows for objective and reproducible quantitation and characterization of pulmonary parenchymal infiltrates in diffuse lung disease. We hypothesize that correlation of CALIPER’s quantitative tissue characterization to radiology visual scores will confirm the achievability of standardizing disease scoring.

METHODS: 119 ILD patients were identified in the Lung Tissue Research Consortium (LTRC) database, a clinical and radiological CT repository containing volumetric HRCT data and semi-quantitative assessment of disease by radiologists. Supervised lung classification was performed based on tissue signatures from a training set derived by radiologist consensus for identifying honeycomb (HC), ground glass (GG), reticular infiltrates (RI) and normal tissues. Quantitative scoring was based on distribution of diseased tissue in six identified regions of each lung. Visual scores were coded from 0-4 to respectively represent 0%, 0-25%, 25-50%, 50-75% and 75-100% of disease type in each region. Spearman’s correlation analysis was performed for the individual regions between visual scores and quantitative volumes for: GG, HC, RI, {GG+HC+RI} and {HC+RI}.

RESULTS: The regional visual scores correlated significantly with regional quantitative distribution for {GG+HC+RI} (r =0.38-0.58, p<0.001 in each case), {HC+RI} (r=0.31-0.65, p<0.001 in each case) and inversely for normal tissue. Significant correlations were found for GG, HC and RI quantitative scores and corresponding visual scores: GG (r=0.19-0.42, p<0.039 in each case), HC (r=0.27-0.56, p<0.003 in each case), RI (r=0.18-0.47, p<0.05 in each case). Poor correlation detected in certain regions could be due to inconsistencies in either radiology scores or quantitative classification.

CONCLUSIONS: In this study, CALIPER characterization of the extent of disease in ILD patients correlated significantly with radiologist’s visual scores.

CLINICAL IMPLICATIONS: CALIPER could potentially become an objective tool for staging ILD progression and for understanding the pattern of disease.

DISCLOSURE: The following authors have nothing to disclose: Sushravya Raghunath, Teng Moua, Colin Segovis, Fabien Maldonado, Jay Ryu, Paul Decker, Srinivasan Rajagopalan, Ronald Karwoski, Richard Robb, Brian Bartholmai

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