Quantitative computed tomography applied to interstitial lung diseases

European Journal of Radiology
Martin ObertGabriele A Krombach

Abstract

To evaluate a new image marker that retrieves information from computed tomography (CT) density histograms, with respect to classification properties between different lung parenchyma groups. Furthermore, to conduct a comparison of the new image marker with conventional markers. Density histograms from 220 different subjects (normal = 71; emphysema = 73; fibrotic = 76) were used to compare the conventionally applied emphysema index (EI), 15th percentile value (PV), mean value (MV), variance (V), skewness (S), kurtosis (K), with a new histogram's functional shape (HFS) method. Multinomial logistic regression (MLR) analyses was performed to calculate predictions of different lung parenchyma group membership using the individual methods, as well as combinations thereof, as covariates. Overall correct assigned subjects (OCA), sensitivity (sens), specificity (spec), and Nagelkerke's pseudo R2 (NR2) effect size were estimated. NR2 was used to set up a ranking list of the different methods. MLR indicates the highest classification power (OCA of 92%; sens 0.95; spec 0.89; NR2 0.95) when all histogram analyses methods were applied together in the MLR. Highest classification power among individually applied methods was found using the HF...Continue Reading

Citations

Feb 6, 2021·The British Journal of Radiology·Sarah DenzlerStephanie Tanadini-Lang
Feb 11, 2021·Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)·L BertaA Torresin

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