Assessment of Perfusion Pattern and Extent of Perfusion Defect on Dual-Energy CT Angiography: Correlations between the Causes of Pulmonary Hypertension and Vascular Parameters.
10.3348/kjr.2014.15.2.286
- Author:
Eun Young KIM
1
;
Joon Beom SEO
;
Sang Young OH
;
Choong Wook LEE
;
Hye Jeon HWANG
;
Sang Min LEE
;
Young Kyung LEE
Author Information
1. Department of Radiology, Chonbuk National University Medical School and Hospital, Research Institute of Clinical Medicine, Jeonju 561-712, Korea.
- Publication Type:Original Article ; Research Support, Non-U.S. Gov't
- Keywords:
Pulmonary hypertension;
Dual-energy CT;
Pulmonary perfusion
- MeSH:
Adult;
Aged;
Aged, 80 and over;
Aorta/physiopathology;
Aortography;
Female;
Humans;
Hypertension, Pulmonary/physiopathology/*radiography;
Male;
Middle Aged;
Pulmonary Artery/physiopathology/*radiography;
Pulmonary Circulation/physiology;
Retrospective Studies;
Tomography, X-Ray Computed/*methods;
Tricuspid Valve Insufficiency/physiopathology/radiography;
Young Adult
- From:Korean Journal of Radiology
2014;15(2):286-294
- CountryRepublic of Korea
- Language:English
-
Abstract:
OBJECTIVE: To assess perfusion patterns on a dual-energy pulmonary CT angiography (DECTA) of pulmonary hypertension (PHT) with variable causes and to assess whether the extent of perfusion defect can be used in the severity assessment of PHT. MATERIALS AND METHODS: Between March 2007 and February 2011, DECTA scans of 62 consecutive patients (24 men, 38 women; mean age, 58.5 +/- 17.3 [standard deviation] years; range, 19-87 years) with PHT were retrospectively included with following inclusion criteria; 1) absence of acute pulmonary thromboembolism, 2) maximal velocity of tricuspid regurgitation jet (TR Vmax) above 3 m/s on echocardiography performed within one week of the DECTA study. Perfusion patterns of iodine map were divided into normal (NL), diffuse heterogeneously decreased (DH), multifocal geographic and multiple peripheral wedging patterns. The extent of perfusion defects (PD), the diameter of main pulmonary artery (MPA) and the ratio of ascending aorta diameter/MPA (aortopulmonary ratio, APR) were measured. Pearson correlation analysis was performed between TR Vmax on echocardiography and CT imaging parameters. RESULTS: Common perfusion patterns of primary PHT were DH (n = 15) and NL (n = 12). The perfusion patterns of secondary PHT were variable. On the correlation analysis, in primary PHT, TR Vmax significantly correlated with PD, MPA and APR (r = 0.52, r = 0.40, r = -0.50, respectively, all p < 0.05). In secondary PHT, TR Vmax significantly correlated with PD and MPA (r = 0.38, r = 0.53, respectively, all p < 0.05). CONCLUSION: Different perfusion patterns are observed on DECTA of PHT according to the causes. PD and MPA are significantly correlated with the TR Vmax.
