Dornia, Christian and Lange, Tobias J. and Behrens, Gundula and Stiefel, Jaroslava and Mueller-Wille, Rene and Poschenrieder, Florian and Pfeifer, Michael and Leitzmann, Michael and Manos, Daria and Babar, Judith L. and Stroszczynski, Christian and Hamer, Okka W. (2012) Multidetector Computed Tomography for Detection and Characterization of Pulmonary Hypertension in Consideration of WHO Classification. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 36 (2). pp. 175-180. ISSN 0363-8715, 1532-3145
Full text not available from this repository. (Request a copy)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.
Item Type: | Article |
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Uncontrolled Keywords: | ARTERIAL-HYPERTENSION; HEART CATHETERIZATION; CT EVALUATION; DIAMETER; DISTENSIBILITY; DIAGNOSIS; EXERCISE; PRESSURE; FIBROSIS; pulmonary hypertension (PH); multidetector computed tomography (MDCT); thoracic imaging; WHO classification |
Subjects: | 600 Technology > 610 Medical sciences Medicine |
Divisions: | Medicine > Lehrstuhl für Innere Medizin II Medicine > Lehrstuhl für Röntgendiagnostik Medicine > Institut für Epidemiologie und Präventivmedizin |
Depositing User: | Dr. Gernot Deinzer |
Date Deposited: | 18 May 2020 13:31 |
Last Modified: | 18 May 2020 13:31 |
URI: | https://pred.uni-regensburg.de/id/eprint/19119 |
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