E-ISSN: 1305-3612
    Histogram-pattern analysis of the lung perfused blood volume for assessment of pulmonary thromboembolism
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    Chest Imaging - Original Article
    VOLUME: 24 ISSUE: 3
    P: 139-145
    May 2018

    Histogram-pattern analysis of the lung perfused blood volume for assessment of pulmonary thromboembolism

    Diagn Interv Radiol 2018;24(3):139-145
    DOI: 10.5152/dir.2018.17311
    Munemasa Okada 1
    Takafumi Nomura 1
    Yoshiteru Nakashima 2
    Yoshie Kunihiro 1
    Shoji Kido 3
    1. Department of Radiology, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi, Japan
    2. Department of Radiology, Yamaguchi Grand Hospital, Hofu, Yamaguchi, Japan
    3. Department of Computer-aided Diagnosis and Biomedical Imaging Research Biomedical Engineering, Applied Medical Engineering Science Graduate School of Medicine, Yamaguchi University, Ube, Yamaguchi, Japan
    No information available.
    No information available
    Received Date: 15.08.2017
    Accepted Date: 01.02.2018
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    ABSTRACT

    PURPOSE:

    We aimed to evaluate the usefulness of histograms of lung perfused blood volume (HLPBV) based on the presence of pulmonary thromboembolism (PTE) and the pulmonary embolic burden.

    METHODS:

    A total of 168 patients (55 males; mean age, 62.9 years) underwent contrast-enhanced dual-energy computed tomography (DECT) between January 1 2012 and October 31 2014. Initial DECT images were three-dimensionally reconstructed, and the HLPBV patterns were divided into three types, including the symmetric type (131 patients, 78.0%), gradual type (25 patients, 14.9%), and asymmetric type (12 patients, 7.1%).

    RESULTS:

    Acute PTE was diagnosed in all 12 patients with asymmetric type (100%), 19 of the 25 patients with gradual type (76%) and 24 of the 131 patients with symmetric type (18.3%). HLPBV pattern exhibited correlations with the right/left ventricular diameter ratio (r=0.36, P = 0.007) and CT obstruction index (r=0.63, P < 0.001) in patients with PTEs. When the gradual and asymmetric types were regarded as positive for PTE, the specificity, positive predictive value, negative predictive value, and accuracy were 92.9%, 83.8%, 87.6%, and 81.0%, respectively.

    CONCLUSION:

    Histogram-pattern analysis using DECT might be a useful application to diagnose PTE.

    References

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