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A method for the automatic quantification of the completeness of pulmonary fissures: evaluation in a database of subjects with severe emphysema.
van Rikxoort, Eva M; Goldin, Jonathan G; Galperin-Aizenberg, Maya; Abtin, Fereidoun; Kim, Hyun J; Lu, Peiyun; van Ginneken, Bram; Shaw, Greg; Brown, Matthew S.
Afiliação
  • van Rikxoort EM; Center for Computer Vision and Imaging Biomarkers and Thoracic Imaging Research Group, Department of Radiological Sciences, David Geffen School of Medicine, University of California-Los Angeles, 924 Westwood Blvd, suite 650, Los Angeles, CA 90024, USA. e.vanrikxoort@rad.umcn.nl
Eur Radiol ; 22(2): 302-9, 2012 Feb.
Article em En | MEDLINE | ID: mdl-21984417
ABSTRACT

OBJECTIVES:

To propose and evaluate a technique for automatic quantification of fissural completeness from chest computed tomography (CT) in a database of subjects with severe emphysema.

METHODS:

Ninety-six CT studies of patients with severe emphysema were included. The lungs, fissures and lobes were automatically segmented. The completeness of the fissures was calculated as the percentage of the lobar border defined by a fissure. The completeness score of the automatic method was compared with a visual consensus read by three radiologists using boxplots, rank sum tests and ROC analysis.

RESULTS:

The consensus read found 49% (47/96), 15% (14/96) and 67% (64/96) of the right major, right minor and left major fissures to be complete. For all fissures visually assessed as being complete the automatic method resulted in significantly higher completeness scores (mean 92.78%) than for those assessed as being partial or absent (mean 77.16%; all p values <0.001). The areas under the curves for the automatic fissural completeness were 0.88, 0.91 and 0.83 for the right major, right minor and left major fissures respectively.

CONCLUSIONS:

An automatic method is able to quantify fissural completeness in a cohort of subjects with severe emphysema consistent with a visual consensus read of three radiologists. KEY POINTS • Lobar fissures are important for assessing the extent and distribution of lung disease • Modern CT allows automatic lobar segmentation and assessment of the fissures • This segmentation can also assess the completeness of the fissures. • Such assessment is important for decisions about novel therapies (eg for emphysema).
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Enfisema Pulmonar / Tomografia Computadorizada por Raios X / Doença Pulmonar Obstrutiva Crônica / Pulmão Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2012 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Enfisema Pulmonar / Tomografia Computadorizada por Raios X / Doença Pulmonar Obstrutiva Crônica / Pulmão Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2012 Tipo de documento: Article