Choi, Bo Hwa; Ko, Sung Min; Shin, Je Kyoun; Chee, Hyun Keun; Kim, Jun Seok; Kim, Jayoun
Acta radiologica (Stockholm, Sweden : 1987)
2018Aug ; 145 ( 8 ) :284185118787359.
PMID : 30080100
ÀúÀÚ »ó¼¼Á¤º¸
Choi, Bo Hwa - 1 Department of Radiology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea.
Ko, Sung Min - 2 Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea.
Shin, Je Kyoun - 3 Cardiovascular Surgery, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea.
Chee, Hyun Keun - 3 Cardiovascular Surgery, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea.
Kim, Jun Seok - 3 Cardiovascular Surgery, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea.
Kim, Jayoun - 4 Research Coordinating Center, Konkuk University Medical Center, Seoul, Republic of Korea.
ABSTRACT
BACKGROUND: Aortic valve calcification quantification using cardiac computed tomography (CCT) is a reliable marker for aortic stenosis (AS) in patients with bicuspid aortic valve (BAV) disease. PURPOSE: To determine the association of Agatston aortic valve calcium score (AVCS) with morphological and hemodynamic characteristics of BAV and define cut-off AVCS for optimizing the grade of AS in patients with bicuspid AS. MATERIAL AND
METHODS: This study included 161 BAV patients with AS regardless of aortic regurgitation who underwent transthoracic echocardiography and CCT. BAVs were classified according to orientation of cusps and presence of raphe. Associations of AVCS with characteristics of BAV morphology and functional variables were determined by linear regression analysis. Area under the receiver operating characteristic curve (AUC) was used to determine the cut-off AVCS greater than which the diagnosis of severe AS was optimized.
RESULTS: AVCS was significantly different according to sex ( P?0.001), AS severity ( P?0.001), type of valvular dysfunction ( P?=?0.011), and orientation of cusps ( P?=?0.028). Multiple linear regression showed that AVCS was significantly associated with sex (estimate?=?-0.583, P?0.001) and AS severity (estimate?=?0.817, P?0.001). AVCS was a predictor for severe AS with AUC of 0.80 in both women ( P?=?0.002) and men ( P?0.001). Its cut-off value was 1423 Agatston unit (AU) in women and 2573 AU in men.
CONCLUSIONS: In patients with bicuspid AS, AVCS was significantly higher in men and those with severe AS. However, AVCS was not significantly associated with morphological characteristics of BAV or the type of valvular dysfunction.
keyword
Aortic valve; aortic valve stenosis; calcium; echocardiography; multidetector computed tomography
¸µÅ©