Quantification of aortic valve calcifications detected during lung cancer-screening CT helps stratify subjects necessitating echocardiography for aortic stenosis diagnosis

Hee Young Lee, Sung Mok Kim, Kyung Soo Lee, Seung Woo Park, Myung Jin Chung, Hyoun Cho, Jung Im Jung, Hye Won Jang, Sin Ho Jung, Juna Goo

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11 Scopus citations

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.

Original languageEnglish
Article numbere3710
JournalMedicine (United States)
Volume95
Issue number19
DOIs
StatePublished - 2016

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