Development and Validation of Coronary Computed Tomography Angiography (CCTA)-based Radiomics Signature for Predicting Coronary Plaques With Rapid Progression
Authors' conclusion
The proposed CCTA-based RS had a better discriminative value to identify plaques at risk of rapid progression compared with conventional morphological plaque parameters.
Study context
- Population
- Patients with serial CCTA examinations at 2 tertiary hospitalsdevelopment 137, validation 77
- Participants
- 214 patients
- Comparison
- CCTA-based radiomics signature vs conventional morphological parameters for predicting rapid plaque progression
- Outcome
- RPP (annual progression of plaque burden ≥1.0% on lesion level at follow-up CCTA)
Methodological detailsretrospective, 2 tertiary hospitals, development and validation cohorts
- Retrospective
- 2 tertiary hospitals
- Development and validation cohorts
Performance
As reported in the abstract
AUC for predicting RPP
| Test or model | AUC, development | AUC, validation |
|---|---|---|
| Radiomics signature (RS) | 0.82 | 0.81 |
| Morphological parameters | 0.74 | 0.69 |
AUC, development
Radiomics signature (RS)0.82
Morphological parameters0.74
AUC, validation
Radiomics signature (RS)0.81
Morphological parameters0.69
- RS vs Morphological parameters: P = 0.04 — development group
- RS vs Morphological parameters: P = 0.04 — validation group
Further findings
| Outcome | OR (95% CI) | P value | |
|---|---|---|---|
| RS as independent predictor of RPP (validation group, multivariable)Adjusted for morphological confounders | 2.35 (1.32–4.46) | P = 0.005 | |
| 0.20.5125Odds ratio (log scale) |
Change in RS at follow-up (whole dataset)
- RS increased significantly in rapid plaque progression (RPP) group; unchanged in non-RPP group
- P < 0.001
Original publication
Development and Validation of CCTA-based Radiomics Signature for Predicting Coronary Plaques With Rapid Progression. Circ Cardiovasc Imaging. Published 19 September 2023. doi:10.
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