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In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
Published on: February 16, 2016
Cardiac CT fractal analysis of LV noncompaction and common cardiomyopathies
Ashish Manohar1, Ashley Wong2, Edgard Castillo3
1Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA; Department of Radiology, Stanford University, Stanford, CA, USA; Cardiovascular Institute, Stanford University, Stanford, CA, USA.
Insights
Cardiac CT analysis using fractal dimensions can effectively differentiate left ventricular noncompaction (LVNC) from other cardiomyopathies. This method shows higher fractal dimensions in LVNC, aiding in diagnosis.
Area of Science:
- Cardiology
- Medical Imaging
- Biomedical Engineering
Background:
- Left ventricular noncompaction (LVNC), or hypertrabeculation, presents diagnostic challenges in differentiating it from other cardiomyopathies.
- Accurate diagnosis is crucial for appropriate patient management and treatment strategies.
Purpose of the Study:
- To evaluate the efficacy of cardiac CT in distinguishing LVNC from hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM), and healthy controls.
- To assess the utility of fractal analysis of left ventricular (LV) trabeculae for this differentiation.
Main Methods:
- Retrospective analysis of coronary CT angiography in 313 subjects (Controls, LVNC, HCM, DCM).
- LV trabecular structure quantified using fractal analysis on CT images, reporting maximum (FDmax) and average (FDglobal) fractal dimensions.
- Comparison with cardiac MRI (CMR) in a subset of subjects, employing ANOVA, Pearson correlation, and Bland-Altman analysis.
Main Results:
- Significantly higher FDmax and FDglobal values were observed in the LVNC cohort compared to Control, HCM, and DCM cohorts (p < 0.001 for FDmax).
- CT-derived fractal dimensions showed a strong correlation with CMR-derived values (r = 0.63, p < 0.0001).
- CT-derived fractal dimensions were consistently higher than CMR-derived values in the comparative subset.
Conclusions:
- Cardiac CT-derived fractal dimensions of LV trabecular structure are significantly elevated in LVNC.
- Fractal analysis using cardiac CT serves as a valuable tool for differentiating LVNC from other cardiomyopathies.
- CT-derived fractal dimensions correlate strongly with CMR findings, offering a potential alternative imaging modality.
Background:
Left ventricular noncompaction (LVNC), or hypertrabeculation, is a myocardial condition that remains challenging to diagnose and differentiate from other cardiomyopathies. This study evaluated the ability of cardiac CT to differentiate between LVNC, hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM), and controls using fractal analysis of LV trabeculae.
Methods:
Subjects with LVNC, HCM, DCM, as well as controls, who underwent coronary CT angiography were included. LV trabecular structure was quantified using fractal analysis on a stack of 15 short-axis CT images. For each subject, maximum (FDmax) and average (FDglobal) fractal dimensions were reported. A subset of subjects also had clinically acquired cardiac MRI (CMR) exams for comparison. One-way ANOVA, Pearson correlation, and Bland-Altman analysis were used for statistical analysis.
Results:
The study included 313 subjects (median age: 58.8 [48.1-68.0] years, 153 male) categorized into Control (89), LVNC (46), HCM (106), and DCM (72) cohorts. FDmax was significantly higher in LVNC (1.379 ± 0.047) than in Control (1.305 ± 0.033), HCM (1.321 ± 0.040), and DCM (1.344 ± 0.054) cohorts; all p < 0.001. Similarly, FDglobal was significantly higher in LVNC (1.279 ± 0.041) than in the other cohorts; all p < 0.05. In a subset of 132 subjects with both CT and CMR exams, fractal dimensions from the two modalities were strongly correlated (r = 0.63, p < 0.0001), with CT-derived values being higher (1.337 ± 0.049 vs. 1.262 ± 0.045, p < 0.0001).
Conclusions:
CT-derived fractal dimensions of LV trabecular structure were significantly higher in LVNC compared to control subjects, HCM, and DCM. CT-derived fractal dimensions strongly correlated with, but were higher than, those from cardiac MRI in the same subjects.
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