Interplatform Reproducibility of CT Coronary Calcium Scoring Software

Weininger, Markus; Ritz, Kristin S.; Schoepf, U. Joseph; Flohr, Thomas; Vliegenthart, Rozemarijn; Costello, Philip; Hahn, Dietbert; Beissert, Matthias

doi:10.1148/radiol.12112532

Cited by 37 publications

(34 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the clinically used CCS protocols, CCS were acquired with routine CT manufacturers' software. However, it was demonstrated by Weininger et al that different types of CCS scoring software resulted in similar CCS [22].…”

Section: Discussionmentioning

confidence: 99%

Influence of heart rate on coronary calcium scores: a multi-manufacturer phantom study

Werf

Willemink

Willems

et al. 2017

Int J Cardiovasc Imaging

View full text Add to dashboard Cite

To evaluate the influence of heart rate on coronary calcium scores (CCS) using a dynamic phantom on four high-end computed tomography (CT) systems from different manufacturers. Artificial coronary arteries were moved in an anthropomorphic chest phantom at linear velocities, corresponding to < 60, 60-75 and > 75 beats per minute (bpm). Data was acquired with routinely used clinical protocols for CCS on four high-end CT systems (CT1-CT4). CCS, quantified as Agatston and mass scores were compared to reference scores at < 60 bpm. Influence of heart rate was assessed for each system with the cardiac motion susceptibility (CMS) Index. At increased heart rates (> 75 bpm), Agatston scores of the low mass calcification were similar to the reference score, while Agatston scores of the medium and high mass calcification increased significantly up to 50% for all CT systems. Threefold CMS increases at > 75 bpm in comparison with < 60 bpm were shown. For medium and high mass calcifications, significant differences in CMS between CT systems were found. Heart rate substantially influences CCS for high-end CT systems of four major manufacturers, but CT systems differ in motion susceptibility. Follow-up CCS CT scans should be acquired on the same CT system and protocol, and preferably with comparable heart rates.

show abstract

Section: Discussionmentioning

confidence: 99%

Influence of heart rate on coronary calcium scores: a multi-manufacturer phantom study

Werf

Willemink

Willems

et al. 2017

Int J Cardiovasc Imaging

View full text Add to dashboard Cite

show abstract

“…17 Another study observed that CAC score did not differ materially according to different protocols and/or workstations, thus, highlighting the ease of access in obtaining CAC measurements irrespective of the type of scanner used. 27, 28 This study is not without limitations. Although the Korean and US cohorts were large in sample size, both may not be truly representative of general populations in South Korea and the USA, respectively.…”

Section: Cac Vs Age and Gendermentioning

confidence: 90%

Prevalence and Distribution of Coronary Artery Calcification in Asymptomatic United States and Korean Adults　– Cross-Sectional Propensity-Matched Analysis –

Han

Hartaigh

Gransar

et al. 2016

Circ J

View full text Add to dashboard Cite

“…A standard reference was obtained with a semi-automatic, previously validated [16], post-processing software (syngo.via, Siemens Healthineers). All 315 CSCT scans were double read by two radiologists in at least two sessions (M.S.…”

Section: Data Reportingmentioning

confidence: 99%

Evaluation of an AI-based, automatic coronary artery calcium scoring software

et al. 2019

View full text Add to dashboard Cite

Objectives To evaluate an artificial intelligence (AI)-based, automatic coronary artery calcium (CAC) scoring software, using a semi-automatic software as a reference. Methods This observational study included 315 consecutive, non-contrast-enhanced calcium scoring computed tomography (CSCT) scans. A semi-automatic and an automatic software obtained the Agatston score (AS), the volume score (VS), the mass score (MS), and the number of calcified coronary lesions. Semi-automatic and automatic analysis time were registered, including a manual double-check of the automatic results. Statistical analyses were Spearman's rank correlation coefficient (⍴), intra-class correlation (ICC), Bland Altman plots, weighted kappa analysis (κ), and Wilcoxon signed-rank test. Results The correlation and agreement for the AS, VS, and MS were ⍴ = 0.935, 0.932, 0.934 (p < 0.001), and ICC = 0.996, 0.996, 0.991, respectively (p < 0.001). The correlation and agreement for the number of calcified lesions were ⍴ = 0.903 and ICC = 0.977 (p < 0.001), respectively. The Bland Altman mean difference and 1.96 SD upper and lower limits of agreements for the AS, VS, and MS were − 8.2 (− 115.1 to 98.2), − 7.4 (− 93.9 to 79.1), and − 3.8 (− 33.6 to 25.9), respectively. Agreement in risk category assignment was 89.5% and κ = 0.919 (p < 0.001). The median time for the semi-automatic and automatic method was 59 s (IQR 35-100) and 36 s (IQR 29-49), respectively (p < 0.001). Conclusions There was an excellent correlation and agreement between the automatic software and the semi-automatic software for three CAC scores and the number of calcified lesions. Risk category classification was accurate but showing an overestimation bias tendency. Also, the automatic method was less time-demanding. Key Points • Coronary artery calcium (CAC) scoring is an excellent candidate for artificial intelligence (AI) development in a clinical setting. • An AI-based, automatic software obtained CAC scores with excellent correlation and agreement compared with a conventional method but was less time-consuming.

show abstract

Interplatform Reproducibility of CT Coronary Calcium Scoring Software

Cited by 37 publications

References 34 publications

Influence of heart rate on coronary calcium scores: a multi-manufacturer phantom study

Influence of heart rate on coronary calcium scores: a multi-manufacturer phantom study

Prevalence and Distribution of Coronary Artery Calcification in Asymptomatic United States and Korean Adults　– Cross-Sectional Propensity-Matched Analysis –

Evaluation of an AI-based, automatic coronary artery calcium scoring software

Contact Info

Product

Resources

About

Interplatform Reproducibility of CT Coronary Calcium Scoring Software

Cited by 37 publications

References 34 publications

Influence of heart rate on coronary calcium scores: a multi-manufacturer phantom study

Influence of heart rate on coronary calcium scores: a multi-manufacturer phantom study

Prevalence and Distribution of Coronary Artery Calcification in Asymptomatic United States and Korean Adults – Cross-Sectional Propensity-Matched Analysis –

Evaluation of an AI-based, automatic coronary artery calcium scoring software

Contact Info

Product

Resources

About

Prevalence and Distribution of Coronary Artery Calcification in Asymptomatic United States and Korean Adults　– Cross-Sectional Propensity-Matched Analysis –