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Multidetector computed tomography for detection and characterization of pulmonary hypertension in consideration of WHO classification.

Abstract

OBJECTIVE
We evaluated the reliability of various multidetector computed tomography (MDCT) parameters for diagnosis and severity assessment of pulmonary hypertension (PH) with consideration of World Health Organization (WHO) classification.
METHODS
A total of 172 patients were included in this retrospective study. One hundred fourteen patients had a diagnosis of PH (mean pulmonary artery pressure ≥25 mm Hg), and 58 patients without PH (mean pulmonary artery pressure <20 mm Hg) served as control subjects. The patients with PH were grouped according to the WHO classification based on PH etiology.
RESULTS
The patients with PH had significantly greater main, left, and right pulmonary artery diameters than the control subjects (P < 0.001). No significant differences within the PH subgroups were found. Receiver operating characteristic analysis showed reasonable sensitivity and specificity for selected MDCT parameters. The severity of PH did not correlate with MDCT parameters.
CONCLUSIONS
Easy-to-determine MDCT parameters allow detection of PH independent of the WHO group. In patients with dilated aorta, the vertebra can be an alternative internal standard. Severity of PH cannot be estimated by MDCT parameters.

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  • Publisher Full Text
  • Authors

    Dornia C, Lange TJ, Behrens G, Stiefel J, Müller-Wille R, Poschenrieder F, Pfeifer M, Leitzmann M, Manos D, Babar JL, Stroszczynski C, Hamer OW

    Institution

    Department of Radiology, University Medical Center Regensburg, Germany. christian.dornia@klinik.uni-regensburg.de

    Source

    Journal of computer assisted tomography 36:2 pg 175-80

    MeSH

    Aged
    Case-Control Studies
    Chi-Square Distribution
    Female
    Heart Catheterization
    Humans
    Hypertension, Pulmonary
    Linear Models
    Male
    Middle Aged
    ROC Curve
    Reproducibility of Results
    Respiratory Function Tests
    Retrospective Studies
    Severity of Illness Index
    Tomography, X-Ray Computed
    World Health Organization

    Pub Type(s)

    Journal Article

    Language

    eng

    PubMed ID

    22446355