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

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.