title: Volume correction in computed tomography densitometry for follow-up studies on pulmonary emphysema.
abstract: Lung densitometry in drug evaluation trials can be confounded by changes in inspiration levels between computed tomography (CT) scans, limiting its sensitivity to detect changes over time. Therefore our aim was to explore whether the sensitivity of lung densitometry could be improved by correcting the measurements for changes in lung volume, based on the estimated relation between density (as measured with the 15th percentile point) and lung volume. We compared four correction methods, using CT data of 143 patients from five European countries. Patients were scanned, generally twice per visit, at baseline and after 2.5 years. The methods included one physiological model and three linear mixed-effects models using a volume-density relation: (1) estimated over the entire population with one scan per visit (model A) and two scans per visit (model B); and (2) estimated for each patient individually (model C). Both log-transformed and original volume and density values were evaluated and the differences in goodness-of-fit between methods were tested. Model C fitted best (P < 0.0001, P < 0.0001, and P = 0.064), when two scans were available. The most consistent progression estimation was obtained between sites, when both volume and density were log-transformed. Sensitivity was improved using repeated CT scans by applying volume correction to individual patient data. Volume correction reduces the variability in progression estimation by a factor of two, and is therefore recommended.
authors.affiliation: Leiden University Medical Center, Albinusdreef 2, 2333 AA Leiden, The Netherlands. B.C.Stoel@lumc.nl
authors.forename: Berend C
authors.initials: BC
authors.lastname: Stoel
authors.forename: Hein
authors.initials: H
authors.lastname: Putter
authors.forename: M Els
authors.initials: ME
authors.lastname: Bakker
authors.forename: Asger
authors.initials: A
authors.lastname: Dirksen
authors.forename: Rob A
authors.initials: RA
authors.lastname: Stockley
authors.forename: Eeva
authors.initials: E
authors.lastname: Piitulainen
authors.forename: Erich W
authors.initials: EW
authors.lastname: Russi
authors.forename: David
authors.initials: D
authors.lastname: Parr
authors.forename: Saher B
authors.initials: SB
authors.lastname: Shaker
authors.forename: Johan H C
authors.initials: JH
authors.lastname: Reiber
authors.forename: Jan
authors.initials: J
authors.lastname: Stolk
mesh_terms: D000328:Adult; D000368:Aged; D018450:Disease Progression; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008168:Lung / Q000000981:diagnostic imaging; D008176:Lung Volume Measurements; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D029424:Pulmonary Disease, Chronic Obstructive / Q000000981:diagnostic imaging; D011656:Pulmonary Emphysema / Q000000981:diagnostic imaging*; D012720:Severity of Illness Index; D014057:Tomography, X-Ray Computed