Low-Normal Lung Volume Correlates With Pulmonary Hypertension in Fibrotic Idiopathic Interstitial Pneumonia: Computer-Aided 3D Quantitative Analysis of Chest CT

被引:16
|
作者
Iwasawa, Tae [1 ]
Kato, Shingo [2 ]
Ogura, Takashi [3 ]
Kusakawa, Yuka [2 ]
Iso, Shinichiro [1 ,4 ]
Baba, Tomohisa [3 ]
Fukui, Kazuki [2 ]
Oba, Mari S. [5 ]
机构
[1] Kanagawa Cardiovasc & Resp Ctr, Dept Radiol, Kanazawa Ku, Yokohama, Kanagawa 2368651, Japan
[2] Kanagawa Cardiovasc & Resp Ctr, Dept Cardiol, Yokohama, Kanagawa 2368651, Japan
[3] Kanagawa Cardiovasc & Resp Ctr, Dept Resp Med, Yokohama, Kanagawa 2368651, Japan
[4] Yokohama Rousai Hosp Labour Welf Corp, Dept Radiol, Yokohama, Kanagawa, Japan
[5] Yokohama City Univ, Sch Med, Dept Biostat & Epidemiol, Yokohama, Kanagawa 232, Japan
关键词
computer-aided design; hypertension; idiopathic pulmonary fibrosis; interstitial; lung disease; MDCT; pulmonary; AUTOMATED QUANTIFICATION; ARTERIAL-HYPERTENSION; FIBROSIS; EMPHYSEMA; DISEASE; CLASSIFICATION; ANGIOGENESIS; PREDICTION; OUTCOMES; INDEXES;
D O I
10.2214/AJR.13.11409
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
OBJECTIVE. We investigated whether the lung volume determined on CT, especially the volume of the normal lung, is correlated with mean pulmonary artery pressure (PAP) in patients with chronic fibrosing idiopathic interstitial pneumonia (IIP). MATERIALS AND METHODS. The subjects were 40 patients with IIP who underwent right heart catheterization (RHC) and chest CT. Thirty-three patients (82.5%) were smokers or former smokers. Using a computer-aided system, the lungs in the 3D CT images were automatically categorized pixel-by-pixel with gaussian histogram-normalized correlations, and the relative volume of each lesion to the CT lung volume was calculated as "normal(%)," "ground-glass opacities(%)," "consolidation(%)," "emphysema(%)," and "fibrosis(%)." The relationship between each "volume(%)" and pulmonary hypertension was evaluated using logistic regression analysis. ROC curves were constructed to assess the predictive value of these CT-based volumes in the identification of pulmonary hypertension. RESULTS. Sixteen patients had pulmonary hypertension at rest (mean PAP > 25 mm Hg on RHC). Emphysema constituted more than 10% of the CT lung volume in 13 patients. On multivariate analysis of each volume(%), normal(%) was significant for detecting pulmonary hypertension (odds ratio, 0.92; 95% CI, 0.86-0.96; p = 0.02). On ROC analysis, the AUC of normal(%) was 0.849 (0.731-0.967). CONCLUSION. The relative CT volume of any single lesion was of limited value in predicting pulmonary hypertension in patients with pulmonary fibrosis and emphysema. In these patients, normal(%), measured by a 3D computer-aided system, was correlated with pulmonary hypertension measured by RHC.
引用
收藏
页码:W166 / W173
页数:8
相关论文
共 4 条
  • [1] Computer-aided analysis in evaluation and grading of interstitial lung diseases in correlation with CT-based visual scoring and pulmonary function tests
    Higazi, Mahmoud M.
    Abdelgawad, Ehab Ali
    Kaseem, Ahmed H.
    Adly, Kerria Raif
    EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE, 2020, 51 (01)
  • [2] Computer-aided classification of interstitial lung diseases via MDCT: 3D adaptive multiple feature method (3D AMFM)
    Xu, Ye
    van Beek, Edwin J. R.
    Yu, Hwanjo
    Guo, Junfeng
    McLennan, Geoffrey
    Hoffman, Eric A.
    ACADEMIC RADIOLOGY, 2006, 13 (08) : 969 - 978
  • [3] Normal Lung Quantification in Usual Interstitial Pneumonia Pattern: The Impact of Threshold-based Volumetric CT Analysis for the Staging of Idiopathic Pulmonary Fibrosis
    Ohkubo, Hirotsugu
    Kanemitsu, Yoshihiro
    Uemura, Takehiro
    Takakuwa, Osamu
    Takemura, Masaya
    Maeno, Ken
    Ito, Yutaka
    Oguri, Tetsuya
    Kazawa, Nobutaka
    Mikami, Ryuji
    Niimi, Akio
    PLOS ONE, 2016, 11 (03):
  • [4] Computer-aided diagnosis of pulmonary nodules on CT scans: Segmentation and classification using 3D active contours
    Way, Ted W.
    Hadjiiski, Lubomir M.
    Sahiner, Berkman
    Chan, Heang-Ping
    Cascade, Philip N.
    Kazerooni, Ella A.
    Bogot, Naama
    Zhou, Chuan
    MEDICAL PHYSICS, 2006, 33 (07) : 2323 - 2337