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Assessing Cortical Cerebral Microinfarcts on High Resolution MR Images
Published on: November 20, 2015
Association between cine CMR-based radiomics signature and microvascular obstruction in patients with ST-segment
Yongjia Peng1, Kongyang Wu2, Yi Xiang J Wang3
1The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, China.
Insights
This study shows that cine cardiac magnetic resonance (CMR)-based radiomics can predict microvascular obstruction (MVO) in ST-segment elevation myocardial infarction (STEMI) patients. This contrast-free imaging biomarker offers a new way to assess MVO after percutaneous coronary intervention (PCI).
Area of Science:
- Cardiology
- Medical Imaging
- Radiology
Background:
- Patients with ST-segment elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI) may receive contrast agents.
- Iodine and gadolinium contrast agents can cause adverse events.
- Assessing microvascular obstruction (MVO) is crucial in STEMI management.
Purpose of the Study:
- To investigate the association between cine cardiac magnetic resonance (CMR)-based radiomics signatures and MVO in STEMI patients.
- To explore the potential of a contrast-free radiomics signature as an imaging biomarker for MVO.
Main Methods:
- Retrospective analysis of 116 STEMI patients who underwent CMR within 6 days post-PCI.
- Radiomic features extracted from cine CMR images; feature selection using the least absolute shrinkage and selectionator operator (LASSO) algorithm.
- Binary logistic regression used to assess the association between radiomics signatures and MVO, adjusted for clinical factors.
Main Results:
- A radiomics signature comprising five features was constructed.
- Radiomics score, high-sensitivity C-reactive protein (hs-CRP), and creatine phosphokinase (CPK) were independent risk factors for MVO.
- The radiomics score showed an area under the receiver operating characteristic curve (AUC) of 0.75 for predicting MVO.
Conclusions:
- Cine CMR-based radiomics signature is an independent predictor of MVO in STEMI patients.
- This contrast-free radiomics signature shows potential as an imaging biomarker for MVO.
- Further validation may establish its role in clinical practice for MVO assessment.
Background:
In the process of percutaneous coronary intervention (PCI), patients with ST-segment elevation myocardial infarction (STEMI) may receive large doses of the iodine contrast agent. Some adverse events may be aroused if the patients receive the gadolinium agents. We investigate the association between cine cardiac magnetic resonance (CMR)-based radiomics signature and microvascular obstruction (MVO) in patients with STEMI.
Methods:
A total of 116 STEMI patients who received continuous CMR within 6 days after PCI were retrospectively included in this study. According to the late gadolinium enhancement (LGE) of CMR, the myocardial infarction (MI) was divided into with and without MVO. Radiomic features were extracted from cine CMR images and the least absolute shrinkage and selectionator operator (LASSO) algorithm was used for features selection and radiomic signatures construction. Binary logistic regression was used to assess association between radiomic signatures and MVO with adjusted for baseline clinical characteristics.
Results:
Of 116 patients with STEMI, MI with MVO was found in 50 patients and MI without MVO was found in 66 patients. LASSO regression selected five radiomics features for radiomics signature construction. Logistic regression revealed that radiomics score, high sensitivity C-reactive protein (hs-CRP) and creatine phosphokinases (CPK) were independent risk factors for MVO with odds ratio (OR) of 4.41 (95% CI: 2.26-9.93), 1.018 (95% CI: 1.006-1.034) and 1.0007 (95% CI: 1.0004-1.0012), respectively. Area under curve (AUC) of receiver operating characteristic (ROC) of radiomics score to predict MVO was 0.75 (95% CI: 0.68-0.85).
Conclusions:
Cine CMR-based radiomics signature was an independent predictive factor of MVO in patients with STEMI, which showed the potential of this contrast free radiomics signature to be an imaging biomarker for MVO.
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