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Cardiac Computed Tomography Radiomics-Based Approach for the Detection of Left Ventricular Remodeling in Patients
Armando Ugo Cavallo1,2, Jacopo Troisi3,4, Emanuele Muscogiuri5
1Department of Biomedicine and Prevention, University of Rome "Tor Vergata", 00133 Rome, Italy.
Insights
A radiomics approach using Cardiac Computed Tomography (CCT) can detect left ventricular (LV) remodeling in patients with arterial hypertension. This method shows potential for evaluating myocardial remodeling in hypertensive patients.
Area of Science:
- Cardiology
- Medical Imaging
- Artificial Intelligence
Background:
- Arterial hypertension is a significant risk factor for cardiovascular diseases.
- Left ventricular (LV) remodeling is a key indicator of cardiac damage in hypertensive patients.
- Early detection of LV remodeling is crucial for timely intervention and management.
Purpose of the Study:
- To assess the feasibility of a radiomics-based approach for detecting LV remodeling.
- To identify radiomic features that discriminate between patients with and without arterial hypertension.
- To evaluate the correlation between radiomics-derived scores and LV septum width as a surrogate for remodeling.
Main Methods:
- Cardiac Computed Tomography (CCT) images and clinical data were collected from hypertensive and non-hypertensive patients.
- Left ventricle (LV) was segmented, and 377 radiomics features were extracted.
- Eleven classification models were trained, and an Ensemble Machine Learning (EML) score was developed. Boruta algorithm identified discriminating features.
Main Results:
- The EML approach achieved an accuracy, sensitivity, and specificity of 0.7 for discriminating patients.
- A significant positive correlation (0.53, p < 0.0001) was found between the EML score and LV septum width.
- Radiomic features effectively discriminated between patient groups.
Conclusions:
- A CCT-based radiomics approach is feasible for identifying LV remodeling in patients with a history of arterial hypertension.
- The EML score shows potential as a non-invasive tool for evaluating myocardial remodeling.
- Radiomics analysis can aid in the early detection and management of hypertension-related cardiac changes.
Abstract:
The aim of the study is to verify the feasibility of a radiomics based approach for the detection of LV remodeling in patients with arterial hypertension. Cardiac Computed Tomography (CCT) and clinical data of patients with and without history of arterial hypertension were collected. In one image per patient, on a 4-chamber view, left ventricle (LV) was segmented using a polygonal region of interest by two radiologists in consensus. A total of 377 radiomics features per region of interest were extracted. After dataset splitting (70:30 ratio), eleven classification models were tested for the discrimination of patients with and without arterial hypertension based on radiomics data. An Ensemble Machine Learning (EML) score was calculated from models with an accuracy >60%. Boruta algorithm was used to extract radiomic features discriminating between patients with and without history of hypertension. Pearson correlation coefficient was used to assess correlation between EML score and septum width in patients included in the test set. EML showed an accuracy, sensitivity and specificity of 0.7. Correlation between EML score and LV septum width was 0.53 (p-value < 0.0001). We considered LV septum width as a surrogate of myocardial remodeling in our population, and this is the reason why we can consider the EML score as a possible tool to evaluate myocardial remodeling. A CCT-based radiomic approach for the identification of LV remodeling is possible in patients with past medical history of arterial hypertension.
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