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Updated: Feb 16, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Validation of an imaging based cardiovascular risk score in a Scottish population
Remko Kockelkoren1, Pushpa M Jairam2, John T Murchison3
1University Medical Center Utrecht, Department of Radiology, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
Objectives:
A radiological risk score that determines 5-year cardiovascular disease (CVD) risk using routine care CT and patient information readily available to radiologists was previously developed. External validation in a Scottish population was performed to assess the applicability and validity of the risk score in other populations.
Methods:
2915 subjects aged ≥40 years who underwent routine clinical chest CT scanning for non-cardiovascular diagnostic indications were followed up until first diagnosis of, or death from, CVD. Using a case-cohort approach, all cases and a random sample of 20% of the participant's CT examinations were visually graded for cardiovascular calcifications and cardiac diameter was measured. The radiological risk score was determined using imaging findings, age, gender, and CT indication.
Results:
Performance on 5-year CVD risk prediction was assessed. 384 events occurred in 2124 subjects during a mean follow-up of 4.25 years (0-6.4 years). The risk score demonstrated reasonable performance in the studied population. Calibration showed good agreement between actual and 5-year predicted risk of CVD. The c-statistic was 0.71 (95%CI:0.67-0.75).
Conclusions:
The radiological CVD risk score performed adequately in the Scottish population offering a potential novel strategy for identifying patients at high risk for developing cardiovascular disease using routine care CT data.
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