Quantification of regional interstitial lung disease from CT-derived fractional tissue volume: a lung tissue research consortium study.
Rationale and Objectives: Evaluation of chest computed tomography (CT) is usually qualitative or semiquantitative, resulting in subjective descriptions often by different observers over time and imprecise determinations of disease severity within distorted lobes. There is a need for standardized ima...
| Publicado en: | Academic Radiology Vol. 18; no. 8; pp. 1014 - 1024 |
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| Autores principales: | , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Aug2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104572836&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104572836 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10766332 T4X jtl: Academic Radiology issn: 10766332 maglogo: N pubinfo: dt: Aug2011 vid: 18 iid: 8 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 104572836 NLM21596593 2011193883 10.1016/j.acra.2011.03.004 NLM21596593 PMC3128646 104572836 ppf: 1014 ppct: 10 formats: tig: atl: Quantification of regional interstitial lung disease from CT-derived fractional tissue volume: a lung tissue research consortium study. aug: au: Yilmaz C Watharkar SS Diaz de Leon A Garcia CK Patel NC Jordan KG Hsia CC Yilmaz, Cuneyt Watharkar, Snehal S Diaz de Leon, Alberto Garcia, Christine K Patel, Nova C Jordan, Kirk G Hsia, Connie C W affil: Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA sug: subj: Image Interpretation, Computer Assisted Methods Lung Diseases, Interstitial Radiography Tomography, X-Ray Computed Methods Adult Analysis of Variance Calibration Female Lung Diseases, Interstitial Physiopathology Male Middle Age Phantoms, Imaging Radiography, Thoracic Methods Respiratory Function Tests Severity of Illness Indices Adult: 19-44 years Middle Aged: 45-64 years Female Male ab: Rationale and Objectives: Evaluation of chest computed tomography (CT) is usually qualitative or semiquantitative, resulting in subjective descriptions often by different observers over time and imprecise determinations of disease severity within distorted lobes. There is a need for standardized imaging biomarkers to quantify regional disease, maximize diagnostic yield, and facilitate multicenter comparisons. We applied lobe-based voxelwise image analysis to derive regional air (Vair) and tissue (Vtissue) volumes and fractional tissue volume (FTV = tissue/[tissue+air] volume) as internally standardized parameter for assessing interstitial lung disease (ILD).Materials and Methods: High-resolution CT was obtained at supine and prone end-inspiration and supine end-expiration in 29 patients with ILD and 20 normal subjects. Lobar Vair, Vtissue, and FTV were expressed along standard coordinate axes.Results: In normal subjects from end-inspiration to end-expiration, total Vair declined ~43%, FTV increased ~80%, but Vtissue remained unchanged. With increasing ILD, Vair declined and Vtissue rose in all lobes; FTV increased with a peripheral-to-central progression inversely correlated to spirometry and lung diffusing capacity (r(2) = 0.57-0.75, prone end-inspiration). Inter- and intralobar coefficients of variation of FTV increased 84-148% in mild-to-moderate ILD, indicating greater spatial heterogeneity, then normalized in severe ILD. Analysis of discontinuous images incurs <3% error compared to consecutive images.Conclusions: These regional attenuation-based biomarkers could quantify heterogeneous parenchymal disease in distorted lobes, detect mild ILD involvement in all lobes and describe the pattern of disease progression. The next step would be to study a larger series, examine reproducibility and follow longitudinal changes in correlation with clinical and functional indices. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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