title: Quantification of Aortic Valve Calcifications Detected During Lung Cancer-Screening CT Helps Stratify Subjects Necessitating Echocardiography for Aortic Stenosis Diagnosis.
abstract: No study has been published on aortic valve calcification (AVC) extent at lung cancer screening low-dose CT (LDCT) and its relationship with aortic stenosis (AS). The purpose of this study was to estimate the cutoff value of AVC on LDCT for detecting AS in asymptomatic Asian subjects. Six thousand three hundred thirty-eight subjects (mean age, 55.9 years ± 8.6) self-referred to health-promotion center underwent LDCT, coronary calcium scoring CT (CSCT), and echocardiography. AVC was quantified using Agatston methods on CT. AVC extent on LDCT was compared with that on CSCT, and AVC threshold for diagnosing AS was calculated. Clinical factors associated with AS and AVC were sought.AVC was observed in 403 subjects (64.9 years ± 8.7) on LDCT (6.4%), and AVC score measured from LDCT showed strong positive correlation with that from CSCT (r = 0.83, P < 0.0001). Of 403 subjects, 40 (10%) were identified to have AS on echocardiography. Cutoff value of AVC score for detecting AS was 138.37 with sensitivity of 90.0% and specificity 83.2%. On multivariate analysis, age (odds ratio [OR] = 1.10, 95% CI: 1.09-1.12) and hypertension (OR = 1.39, 95% CI: 1.10-1.76) were associated with the presence of AVC, whereas AVC extent at LDCT (OR = 104.32, 95% CI: 16.16-673.70) was the only significant clinical factor associated with AS; AVC extent on LDCT (OR = 104.32, 95% CI: 16.16-673.70) was the significant clinical factor associated with AS.The AVC extent on LDCT is significantly related to the presence of AS, and we recommend echocardiography for screening AS based on quantified AVC values on LDCT.
authors.affiliation: From the Department of Radiology (HYL, SMK, KSL, MJC) and Division of Cardiology (SWP), Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine; Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center (HC); Department of Radiology (JIJ), Seoul St Mary's Hospital, College of Medicine, The Catholic University of Korea; Department of Medical Education (HWJ), Samsung Medical Center, Sungkyunkwan University School of Medicine; Biostatistics and Clinical Epidemiology Center (SHJ, JG), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
authors.forename: Hee Young
authors.initials: HY
authors.lastname: Lee
authors.forename: Sung Mok
authors.initials: SM
authors.lastname: Kim
authors.forename: Kyung Soo
authors.initials: KS
authors.lastname: Lee
authors.forename: Seung Woo
authors.initials: SW
authors.lastname: Park
authors.forename: Myung Jin
authors.initials: MJ
authors.lastname: Chung
authors.forename: Hyoun
authors.initials: H
authors.lastname: Cho
authors.forename: Jung Im
authors.initials: JI
authors.lastname: Jung
authors.forename: Hye Won
authors.initials: HW
authors.lastname: Jang
authors.forename: Sin-Ho
authors.initials: SH
authors.lastname: Jung
authors.forename: Juna
authors.initials: J
authors.lastname: Goo
mesh_terms: D000368:Aged; D001021:Aortic Valve / Q000000981:diagnostic imaging / Q000473:pathology*; D001024:Aortic Valve Stenosis / Q000000981:diagnostic imaging*; D002114:Calcinosis / Q000000981:diagnostic imaging*; D055088:Early Detection of Cancer / Q000379:methods*; D004452:Echocardiography; D005260:Female; D006801:Humans; D008175:Lung Neoplasms / Q000000981:diagnostic imaging*; D008297:Male; D008875:Middle Aged; D012720:Severity of Illness Index; D014057:Tomography, X-Ray Computed