Development and Validation of CCTA-based Radiomics Signature for Predicting Coronary Plaques With Rapid Progression.
Circ Cardiovasc Imaging
; 16(9): e015340, 2023 09.
Article
en En
| MEDLINE
| ID: mdl-37725670
ABSTRACT
BACKGROUND:
Rapid plaque progression (RPP) is associated with a higher risk of acute coronary syndromes compared with gradual plaque progression. We aimed to develop and validate a coronary computed tomography angiography (CCTA)-based radiomics signature (RS) of plaques for predicting RPP.METHODS:
A total of 214 patients who underwent serial CCTA examinations from 2 tertiary hospitals (development group, 137 patients with 164 lesions; validation group, 77 patients with 101 lesions) were retrospectively enrolled. Conventional CCTA-defined morphological parameters (eg, high-risk plaque characteristics and plaque burden) and radiomics features of plaques were analyzed. RPP was defined as an annual progression of plaque burden ≥1.0% on lesion-level at follow-up CCTA. RS was built to predict RPP using XGBoost method.RESULTS:
RS significantly outperformed morphological parameters for predicting RPP in both the development group (area under the receiver operating characteristic curve, 0.82 versus 0.74; P=0.04) and validation group (area under the receiver operating characteristic curve, 0.81 versus 0.69; P=0.04). Multivariable analysis identified RS (odds ratio, 2.35 [95% CI, 1.32-4.46]; P=0.005) as an independent predictor of subsequent RPP in the validation group after adjustment of morphological confounders. Unlike unchanged RS in the non-RPP group, RS increased significantly in the RPP group at follow-up in the whole dataset (P<0.001).CONCLUSIONS:
The proposed CCTA-based RS had a better discriminative value to identify plaques at risk of rapid progression compared with conventional morphological plaque parameters. These data suggest the promising utility of radiomics for predicting RPP in a low-risk group on CCTA.Palabras clave
Texto completo:
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Base de datos:
MEDLINE
Asunto principal:
Tomografía Computarizada por Rayos X
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Angiografía por Tomografía Computarizada
Tipo de estudio:
Observational_studies
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Prognostic_studies
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Risk_factors_studies
Idioma:
En
Revista:
Circ Cardiovasc Imaging
Asunto de la revista:
ANGIOLOGIA
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CARDIOLOGIA
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DIAGNOSTICO POR IMAGEM
Año:
2023
Tipo del documento:
Article