Quantitative analysis of vascularization in the finger joints in patients with rheumatoid arthritis using three-dimensional volumetric ultrasonography with power Doppler
Quantitative analysis of vascularization in the finger joints in patients with rheumatoid arthritis using three-dimensional volumetric ultrasonography with power Doppler
复制标题
能量多普勒三维体积超声对类风湿性关节炎患者手指关节血管化的定量分析
DOI:
10.1007/s10067-011-1811-5
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发表时间:
2012
期刊:
影响因子:
3.4
通讯作者:
Masao Sato,Ayako Sekine,Daisuke Fukuoka,Mitsuru Seishima,Katsuji Shimizu,Toshio Matsuoka
中科院分区:
文献类型:
--
作者:
Tsuneo Watanabe,Masao Takemura;Masao Sato,Ayako Sekine,Daisuke Fukuoka,Mitsuru Seishima,Katsuji Shimizu,Toshio Matsuoka
This study aimed to compare the intraobserver and interobserver reliability of three-dimensional (3D) and two-dimensional (2D) power Doppler ultrasonography (PDUS) and to assess the relationship between 3D PDUS and clinical parameters in patients with rheumatoid arthritis (RA). Bilateral second/third metacarpophalangeal joints and second/third proximal interphalangeal joints in 33 patients were examined by both 2D and 3D PDUS. Each joint was given a separate 2D PDUS subjective score (range, 0–3) in a standard manner. The 2D PDUS index is the sum of the scores of all eight joints assessed. 3D PDUS voxel signals were quantitatively analyzed by using computerized voxel counts. Intraobserver reliability was high for both examinations (2D PDUS: ICC = 0.957, 95% confidence interval = 0.818–0.999; 3D PDUS: ICC = 0.998, 95% confidence interval = 0.998–1.000). Interobserver reliability was also high (2D PDUS: ICC = 0.993, 95% confidence interval = 0.806–0.988; 3D PDUS: ICC = 0.999, 95% confidence interval = 0.999–1.000). A significant correlation was found between the 2D PDUS index and 3D PDUS voxel count (r= 0.795;p< 0.001). The 3D PDUS voxel count showed significant correlation with 28 joints Disease Activity Score (DAS28)-erythrocyte sedimentation rate (r= 0.448,p< 0.01) and DAS28-C-reactive protein (r= 0.383,p< 0.05). Our study indicates that the measurement of 3D PDUS may be a valuable tool for predicting disease activity.