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Journal article

Standardized measurement of coronary inflammation using cardiovascular computed tomography: integration in clinical care as a prognostic medical device

Abstract:
Aims
Coronary computed tomography angiography (CCTA) is a first-line modality in the investigation of suspected coronary artery disease (CAD). Mapping of perivascular fat attenuation index (FAI) on routine CCTA enables the non-invasive detection of coronary artery inflammation by quantifying spatial changes in perivascular fat composition. We now report the performance of a new medical device, CaRi-Heart®, which integrates standardized FAI mapping together with clinical risk factors and plaque metrics to provide individualized cardiovascular risk prediction.
Methods and results
The study included 3912 consecutive patients undergoing CCTA as part of clinical care in the USA (n = 2040) and Europe (n = 1872). These cohorts were used to generate age-specific nomograms and percentile curves as reference maps for the standardized interpretation of FAI. The first output of CaRi-Heart® is the FAI-Score of each coronary artery, which provides a measure of coronary inflammation adjusted for technical, biological, and anatomical characteristics. FAI-Score is then incorporated into a risk prediction algorithm together with clinical risk factors and CCTA-derived coronary plaque metrics to generate the CaRi-Heart® Risk that predicts the likelihood of a fatal cardiac event at 8 years. CaRi-Heart® Risk was trained in the US population and its performance was validated externally in the European population. It improved risk discrimination over a clinical risk factor-based model [Δ(C-statistic) of 0.085, P = 0.01 in the US Cohort and 0.149, P < 0.001 in the European cohort] and had a consistent net clinical benefit on decision curve analysis above a baseline traditional risk factor-based model across the spectrum of cardiac risk.
Conclusion
Mapping of perivascular FAI on CCTA enables the non-invasive detection of coronary artery inflammation by quantifying spatial changes in perivascular fat composition. We now report the performance of a new medical device, CaRi-Heart®, which allows standardized measurement of coronary inflammation by calculating the FAI-Score of each coronary artery. The CaRi-Heart® device provides a reliable prediction of the patient's absolute risk for a fatal cardiac event by incorporating traditional cardiovascular risk factors along with comprehensive CCTA coronary plaque and perivascular adipose tissue phenotyping. This integration advances the prognostic utility of CCTA for individual patients and paves the way for its use as a dual diagnostic and prognostic tool among patients referred for CCTA.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/cvr/cvab286

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Oxford college:
Queen's College
Role:
Author
ORCID:
0000-0003-4362-0720
More by this author
Role:
Author
ORCID:
0000-0003-0008-0592
More by this author
Role:
Author
ORCID:
0000-0003-2733-2091


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Grant:
TG/19/2/34831
FS/16/15/32047
TG/16/3/32687
PG/13/56/30383
CH/F/21/90009
CH/16/1/32013


Publisher:
Oxford University Press
Journal:
Cardiovascular Research More from this journal
Volume:
117
Issue:
13
Pages:
2677-2690
Place of publication:
England
Publication date:
2021-08-27
Acceptance date:
2021-08-27
DOI:
EISSN:
1755-3245
ISSN:
0008-6363
Pmid:
34450625


Language:
English
Keywords:
Pubs id:
1193318
Local pid:
pubs:1193318
Deposit date:
2022-07-26
ARK identifier:

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