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Published on: August 8, 2022
Non-invasive prediction of genotype positive-phenotype negative in hypertrophic cardiomyopathy by 3D modern shape
Paolo Piras1, Concetta Torromeo1, Antonietta Evangelista2
1Department of Scienze Cardiovascolari, Respiratorie, Nefrologiche, Anestesiologiche e Geriatriche, Sapienza Università di Roma, Rome, 00161, Italy.
Insights
This study identifies subtle heart muscle impairments in individuals with hypertrophic cardiomyopathy (HCM) genotype but no hypertrophy using 3D echocardiography. This non-invasive method accurately detects early signs, aiding in early prediction and management.
Area of Science:
- Cardiology
- Medical Imaging
- Biomechanical Analysis
Background:
- Hypertrophic cardiomyopathy (HCM) diagnosis typically relies on left-ventricular hypertrophy (LVH).
- Genotype-positive, normotrophic (G+LVH-) individuals may have subclinical myocardial changes.
- Non-invasive imaging modalities are crucial for early detection.
Purpose of the Study:
- To develop and validate a non-invasive method for detecting deformational impairments in G+LVH- subjects.
- To assess the efficacy of 3D speckle tracking echocardiography (3D-STE) combined with shape analysis for G+LVH- prediction.
- To investigate the specific patterns of myocardial impairment in G+LVH- individuals.
Main Methods:
- Utilized 3D speckle tracking echocardiography (3D-STE) to capture left ventricular (LV) motion.
- Employed advanced shape analysis techniques on post-processed echocardiographic images.
- Analyzed LV strains to identify impaired regions and classified subjects based on deformational attributes.
Main Results:
- G+LVH- subjects exhibited distinct LV motion trajectories and deformational attributes compared to controls.
- The method achieved high classification performance (AUC ~90%, sensitivity ~78%, specificity ~79%).
- Deformational impairments were primarily localized in the apical region of the LV.
Conclusions:
- G+LVH- subjects demonstrate significant myocardial deformational impairments.
- Modern shape analysis of 3D-STE data offers an efficient, non-invasive, and cost-effective approach for predicting HCM genotype.
- Early detection of subclinical changes in G+LVH- individuals is feasible.
New Findings:
What is the central question of this study? Can impaired deformational indicators for genotype positive for hypertrophic cardiomyopathy in subjects that do not exhibit a left-ventricular wall hypertrophy condition (G+LVH-) be determined using non-invasive 3D echocardiography? What is the main finding and its importance? Using 3D-STE and modern shape analysis, peculiar deformational impairments can be detected in G+LVH- subjects that can be classified with good accuracy. Moreover, the patterns of impairment are located mainly on the apical region in agreement with other evidence coming from previous biomechanical investigations.
Abstract:
We propose a non-invasive procedure for predicting genotype positive for hypertrophic cardiomyopathy (HCM) in subjects that do not exhibit a left-ventricular wall hypertrophy condition (G+LVH-); the procedure is based on the enhanced analysis of medical imaging from 3D speckle tracking echocardiography (3D-STE). 3D-STE, due to its low quality images, has not been used so far to detect effectively the G+LVH- condition. Here, we post-processed echocardiographic images exploiting the tools of modern shape analysis, and we studied the motion of the left ventricle (LV) during an entire cycle. We enrolled 82 controls, 21 HCM patients and 11 G+LVH- subjects. We followed two steps: (i) we selected the most impaired regions of the LV by analysing its strains; and (ii) we used shape analysis on these regions to classify the subjects. The G+LVH- subjects showed different trajectories and deformational attributes. We found high classification performance in terms of area under the receiver operating characteristic curve (∼90), sensitivity (∼78) and specificity (∼79). Our results showed that (i) G+LVH- subjects present important deformational impairments relative to healthy controls and (ii) modern shape analysis can efficiently predict genotype by means of a non-invasive and inexpensive technique such as 3D-STE.
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