中山醫學大學機構典藏 CSMUIR:Item 310902500/24413
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    题名: Calculating air volume fractions from computed tomography images for chronic obstructive pulmonary disease diagnosis
    作者: Chuang, CC;Chou, YH;Peng, SL;Tai, JE;Lee, SC;Tyan, YS;Shih, CT
    日期: 2020
    上传时间: 2022-08-09T08:01:53Z (UTC)
    出版者: PUBLIC LIBRARY SCIENCE
    ISSN: 1932-6203
    摘要: Quantitative evaluation using image biomarkers calculated from threshold-segmented low-attenuation areas on chest computed tomography (CT) images for diagnosing chronic obstructive pulmonary diseases (COPD) has been widely investigated. However, the segmentation results depend on the applied threshold and slice thickness of the CT images because of the partial volume effect (PVE). In this study, the air volume fraction (AV/TV) of lungs was calculated from CT images using a two-compartment model (TCM) for COPD diagnosis. A relative air volume histogram (RAVH) was constructed using the AV/TV values to describe the air content characteristics of lungs. In phantom studies, the TCM accurately calculated total cavity volumes and foam masses with percent errors of less than 8% and +/- 4%, respectively. In patient studies, the relative volumes of normal and damaged lung tissues and the damaged-to-normal RV ratio were defined and calculated from the RAVHs as image biomarkers, which correctly differentiated COPD patients from controls in 2.5- and 5-mm-thick images with areas under receiver operating characteristic curves of >0.94. The AV/TV calculated using the TCM can prevent the effect of slice thickness, and the image biomarkers calculated from the RAVH are reliable for diagnosing COPD.
    URI: http://dx.doi.org/10.1371/journal.pone.0231730
    https://www.webofscience.com/wos/woscc/full-record/WOS:000536011400097
    https://ir.csmu.edu.tw:8080/handle/310902500/24413
    關聯: PLOS ONE ,2020 ,v15 ,issue 4
    显示于类别:[中山醫學大學研究成果] 期刊論文

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