A comparison of visual and quantitative methods to identify interstitial lung abnormalities

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dc.contributor.authorKliment, Corrine R.
dc.contributor.authorAraki, Tetsuro
dc.contributor.authorDoyle, Tracy J.
dc.contributor.authorGao, Wei
dc.contributor.authorDupuis, Josée
dc.contributor.authorLatourelle, Jeanne C.
dc.contributor.authorZazueta, Oscar E.
dc.contributor.authorFernandez, Isis E.
dc.contributor.authorNishino, Mizuki
dc.contributor.authorDíaz Fuenzalida, Alejandro
dc.date.accessioned2019-10-16T20:12:33Z
dc.date.available2019-10-16T20:12:33Z
dc.date.issued2015
dc.date.updated2019-10-14T18:28:23Z
dc.description.abstractAbstract Background Evidence suggests that individuals with interstitial lung abnormalities (ILA) on a chest computed tomogram (CT) may have an increased risk to develop a clinically significant interstitial lung disease (ILD). Although methods used to identify individuals with ILA on chest CT have included both automated quantitative and qualitative visual inspection methods, there has been not direct comparison between these two methods. To investigate this relationship, we created lung density metrics and compared these to visual assessments of ILA. Methods To provide a comparison between ILA detection methods based on visual assessment we generated measures of high attenuation areas (HAAs, defined by attenuation values between −600 and −250 Hounsfield Units) in >4500 participants from both the COPDGene and Framingham Heart studies (FHS). Linear and logistic regressions were used for analyses. Results Increased measures of HAAs (in ≥10 % of the lung) were significantly associated with ILA defined by visual inspection in both cohorts (P < 0.0001); however, the positive predictive values were not very high (19 % in COPDGene and 13 % in the FHS). In COPDGene, the association between HAAs and ILA defined by visual assessment were modified by the percentage of emphysema and body mass index. Although increased HAAs were associated with reductions in total lung capacity in both cohorts, there was no evidence for an association between measurement of HAAs and MUC5B promoter genotype in the FHS. Conclusion Our findings demonstrate that increased measures of lung density may be helpful in determining the severity of lung volume reduction, but alone, are not strongly predictive of ILA defined by visual assessment. Moreover, HAAs were not associated with MUC5B promoter genotype.Abstract Background Evidence suggests that individuals with interstitial lung abnormalities (ILA) on a chest computed tomogram (CT) may have an increased risk to develop a clinically significant interstitial lung disease (ILD). Although methods used to identify individuals with ILA on chest CT have included both automated quantitative and qualitative visual inspection methods, there has been not direct comparison between these two methods. To investigate this relationship, we created lung density metrics and compared these to visual assessments of ILA. Methods To provide a comparison between ILA detection methods based on visual assessment we generated measures of high attenuation areas (HAAs, defined by attenuation values between −600 and −250 Hounsfield Units) in >4500 participants from both the COPDGene and Framingham Heart studies (FHS). Linear and logistic regressions were used for analyses. Results Increased measures of HAAs (in ≥10 % of the lung) were significantly associated with ILA defined by visual inspection in both cohorts (P < 0.0001); however, the positive predictive values were not very high (19 % in COPDGene and 13 % in the FHS). In COPDGene, the association between HAAs and ILA defined by visual assessment were modified by the percentage of emphysema and body mass index. Although increased HAAs were associated with reductions in total lung capacity in both cohorts, there was no evidence for an association between measurement of HAAs and MUC5B promoter genotype in the FHS. Conclusion Our findings demonstrate that increased measures of lung density may be helpful in determining the severity of lung volume reduction, but alone, are not strongly predictive of ILA defined by visual assessment. Moreover, HAAs were not associated with MUC5B promoter genotype.Abstract Background Evidence suggests that individuals with interstitial lung abnormalities (ILA) on a chest computed tomogram (CT) may have an increased risk to develop a clinically significant interstitial lung disease (ILD). Although methods used to identify individuals with ILA on chest CT have included both automated quantitative and qualitative visual inspection methods, there has been not direct comparison between these two methods. To investigate this relationship, we created lung density metrics and compared these to visual assessments of ILA. Methods To provide a comparison between ILA detection methods based on visual assessment we generated measures of high attenuation areas (HAAs, defined by attenuation values between −600 and −250 Hounsfield Units) in >4500 participants from both the COPDGene and Framingham Heart studies (FHS). Linear and logistic regressions were used for analyses. Results Increased measures of HAAs (in ≥10 % of the lung) were significantly associated with ILA defined by visual inspection in both cohorts (P < 0.0001); however, the positive predictive values were not very high (19 % in COPDGene and 13 % in the FHS). In COPDGene, the association between HAAs and ILA defined by visual assessment were modified by the percentage of emphysema and body mass index. Although increased HAAs were associated with reductions in total lung capacity in both cohorts, there was no evidence for an association between measurement of HAAs and MUC5B promoter genotype in the FHS. Conclusion Our findings demonstrate that increased measures of lung density may be helpful in determining the severity of lung volume reduction, but alone, are not strongly predictive of ILA defined by visual assessment. Moreover, HAAs were not associated with MUC5B promoter genotype.
dc.fuente.origenBiomed Central
dc.identifier.citationBMC Pulmonary Medicine. 2015 Oct 29;15(1):134
dc.identifier.doi10.1186/s12890-015-0124-x
dc.identifier.urihttps://doi.org/10.1186/s12890-015-0124-x
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/26558
dc.issue.numeroNo. 134
dc.language.isoen
dc.nota.accesoContenido completo
dc.pagina.final9
dc.pagina.inicio1
dc.revistaBMC Pulmonary Medicinees_ES
dc.rightsacceso abierto
dc.rights.holderKliment et al.
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.subject.otherPulmones - Anomalìases_ES
dc.subject.otherPulmones - Enfermedadeses_ES
dc.subject.otherTomografía computarizada de emisiónes_ES
dc.subject.otherTóraxes_ES
dc.titleA comparison of visual and quantitative methods to identify interstitial lung abnormalitieses_ES
dc.typeartículo
dc.volumenVol. 15
sipa.codpersvinculados104496
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