Background
Left ventricular (LV) non-compaction (LVNC) is a clinically heterogeneous myocardial disorder characterized by increased LV trabeculation and deep inter-trabecular recesses that are in continuity with the LV cavity, but not the epicardium. In patients with LVNC, the myocardium appears as two distinct layers, consisting of a thick non-compacted endocardial layer, and a thin compacted epicardial layer [
1,
2]. Though LVNC has be defined as a genetic or unclassified cardiomyopathy that is associated with heart failure and adverse cardiovascular events (including malignant arrhythmias, sudden cardiac death and thromboembolic events) [
3‐
5], it may represent either an isolated entity or a structural trait presenting in both cardiac and non-cardiac diseases [
6].
Variable degrees of LV trabeculation have been observed in other cardiac conditions, including dilated and hypertrophic cardiomyopathies [
7‐
9], congenital heart disease [
10], and in healthy individuals such as in pregnant women or athletes [
6,
11,
12], suggesting that it may be a remodeling epiphenomenon or anatomical phenotype [
13]. This has led to much controversy over the diagnostic criteria for LVNC, while the physiological consequences of variable degrees of LV trabeculation in healthy individuals are unknown [
14,
15].
Of the modalities available for investigating LVNC, cardiovascular magnetic resonance imaging (CMR) offers a comprehensive assessment of myocardial anatomy, function, perfusion and tissue characteristics [
16,
17]. Its high spatial resolution allows for better differentiation between non-compacted and compacted layers of myocardium, compared to two-dimensional (2D) echocardiography and computed tomography (CT) imaging. Though current CMR-based diagnostic criteria (Additional file
1: Table S1) are mostly based on the ratio between non-compacted and compacted myocardium/layer in terms of thickness [
18,
19], mass [
20] or volume [
21], recent approaches and tools based on fractal geometry [
22,
23] to quantify trabeculation complexity have been developed but have yet to be applied in mainstream clinical practice. Due to the wide spectrum of normal variation in trabeculation, criteria for LVNC cardiomyopathy have been developed but these are based on small sample sizes and may result in over-diagnoses [
14,
24]. It is thus important to study the phenotypic variability of LV trabeculation in the normal population and develop normal reference ranges for these measures using automated and robust approaches.
Prior studies in healthy, asymptomatic population-based cohorts are equivocal on the functional consequence of LV trabeculations [
25‐
27]. Though left ventricular ejection fraction (LVEF) is a key metric of myocardial function, its ability to detect subtle variation in myocardial function is limited. Myocardial deformation imaging offers greater insights into myocardial function with greater dimensionality [
28]. Myocardial deformation is quantified using strain and strain rate, as measures of global and regional LV function, in the three cardiac planes (longitudinal, circumferential, and radial). Strain represents the change in length of the myocardium relative to its end-diastolic length (e.g. longitudinal and circumferential shortening (negative), and radial thickening (positive) during systole), while strain rate is derived as rate of such deformation [
29,
30]. Integration of myocardial deformation imaging thus augments existing modalities in evaluating myocardial function and the physiological consequence of LV trabeculations in the general population.
In this study, we sought to examine the relationship between the extent of LV trabeculation, and myocardial morphology and function in healthy Chinese in Singapore using CMR to elucidate the functional and physiological consequences of LV trabeculations. We also sought to establish age- and sex-specific reference ranges for measures of LV trabeculations and myocardial strain that are currently not available in Asians. We hypothesized that the degree of LV trabeculation in healthy individuals is associated with reduced intrinsic myocardial function.
Methods
Study population
The study population (
n = 180) was based on a prior study establishing comprehensive CMR reference ranges for the heart and aortic root in Singaporean Chinese [
31]. To ensure adequate distribution of participants across the age range, we performed systematic recruitment of 15 to 20 individuals for each age decile in either sex. Study participants aged 20 to 69 years old, without symptoms, clinical or family history of cardiovascular or cerebrovascular disease, were prospectively recruited from the community through advertisement in the local media. Subjects were without significant comorbidities, including hypertension, hyperlipidemia or diabetes mellitus. Individuals with valvular heart disease or resting wall motion abnormalities noted on CMR were excluded from the study population.
To examine the clinical utility of reference ranges developed, confirmed and suspected LVNC cases were extracted from existing clinical CMR database at the National Heart Center Singapore (NHCS). Suspected LVNC cases are defined as patients with noncompacted to compacted (NC/C) ratio > 2.3 [
18], whilst confirmed cases were those with NC/C ratio > 2.3 and at least one additional risk factor: positive family history, LV systolic dysfunction/regional wall motion abnormalities and LVNC-related complications such as arrhythmias, heart failure and thromboembolism. Exclusion criteria for all subjects included the usual contraindications to CMR: non-CMR compatible implanted cardioverter-defibrillator or pacemakers, metallic devices or foreign bodies, and severe claustrophobia.
The study was approved by the SingHealth Centralized Institutional Review Board and conducted in accordance with the Declaration of Helsinki. Written informed consent was obtained from each participant.
Cardiovascular magnetic resonance acquisition
All participants were imaged using CMR on a 3T scanner (Ingenia, Philips Healthcare, Best, The Netherlands). Acquisition of balanced steady-state free precession cines was performed in the vertical and horizontal long axis planes, along with the sagittal LV outflow tract view (TR 2.8 to 2.9 ms; TE 1.4 to 1.5 ms; turbo factor 10; acquired voxel size 1.88 × 1.90 × 8.00 mm3, flip angle 45°; 40 phases per cardiac cycle). LV short axis cines extending from the atrioventricular ring to the apex were acquired subsequently to cover the entire LV and right ventricle (RV) (8 mm parallel slices with 2 mm gap; acquired voxel size 1.89 × 1.83 × 8.00 mm3; 30 phases per cardiac cycle).
Image analysis
Assessment of cardiac volumes and function were performed using standardized protocols in our Research Image Analysis Laboratory (CMR42, Circle Cardiovascular Imaging Inc., Calgary, Canada) as detailed previously [
31].
Myocardial strain and strain rate was measured using CMR42 (Tissue Tracking Plugin; Circle Cardiovascular Imaging Inc.). Short-axis and long-axis cine images were analyzed. LV endocardial and epicardial borders were manually delineated in the analyzed section at end-diastolic phase for subsequent tracking. The contours were then automatically propagated throughout the cardiac cycle through feature/tissue tracking by the software with strain model generation [
30]. Circumferential and radial strain were measured from the LV short axis cine images, and longitudinal strain measured from vertical long axis and horizontal long axis cine images. Strain rate was obtained from myocardial strain by differentiating with respect to time. Global strain was automatically computed as the average of peak segmental strain of the entire LV, while global strain rates were similarly derived and defined separately in the both systolic and diastolic phases.
Fractal analysis
Fractal dimension (FD), a dimensionless measure of trabeculation complexity, was measured using LV short axis cine images at end-diastole, using a semi-automated in-house fractal analysis tool in MATLAB (Mathworks Inc. Natick, Massachusetts, USA), based on an adaption of the methodology described by Captur et al. [
32].
Fractal analysis was performed on each LV slice, with exclusion of the most apical slice due to partial volume effects. Each image was magnified using bicubic interpolation, and region of interest was selected by the user. Image segmentation was performed to differentiate the LV myocardium and blood pool, through a level set thresholding method as described by Li C et al. [
33]. Edges of the binary image (representing endocardial border, with inclusion of trabeculations and papillary muscles) were determined using Sobel edge detection algorithm, followed by the computation of FD of the image using a box-counting method [
34]. As each slice is a two-dimensional plane, the range of possible FD values for each endocardial border is between 1 and 2. This FD computation method (box-counting) was validated against fractals with known FDs (absolute mean difference: −0.01 ± 0.01; Additional file
1: Figure S1).
Global fractal characteristics were assessed through the average of the FD of each slice in the entire LV stack, and represented as global FD. For regional fractal characteristics, the LV stack is divided into apical and basal halves (with exclusion of the middle slice for odd numbered LV stacks). From the apical half of the LV, the mean apical and maximal apical FD is derived.
Reproducibility
Inter-observer variability was determined by analysis of a randomly generated set of 20 scans by two investigators. Assessment of CMR cine images by each investigator was performed independently of the other, while intra-observer variability was assessed by repetition of the analysis after a fixed time frame (2 weeks). To evaluate the intra- and inter-observer agreement, the Intra-Class Correlation Coefficient (ICC; two-way random, agreement) was computed.
Statistical analysis
The distribution of all continuous variables was assessed for normality using the Shapiro-Wilk test and presented either as mean ± standard deviation (SD) or median [interquartile range], as appropriate. Statistically significant clinical variables in the univariable analyses were entered in the multivariable linear regression to determine the independent association between FD and LV morphologic structures and myocardial strain. Reference ranges were defined as 95% prediction intervals using univariable linear regression between parameters and age, stratified by sex. Indeterminate regions were defined as the 95% confidence intervals of the upper and lower reference limits, to account for the effects of sample size on the reference range [
35]. All statistical analyses were performed with RStudio. A two-sided
p-value <0.05 was considered statistically significant.
Discussion
This study examined LV trabeculation in healthy Singaporean Chinese to define normal age- and sex-specific ranges and determined the association of FD extent with cardiac physiology. The extent of LV trabeculation is higher in males, increased with age and BMI. Increased trabeculation was associated with increased LV volumes, myocardial mass and impaired myocardial strain (global circumferential, diastolic circumferential and radial strain rate), independent of age, sex and BMI.
The clinically heterogeneous nature of LVNC has led to much difficulty in achieving a consensus over the diagnostic criteria, which are currently predominantly based on semi-quantitative LV morphology assessment. A recent classification grouped LVNC into 7 different entities, of which the presence of non-compacted (trabeculated) morphology with normal systolic and diastolic function, size and wall thickness is termed as isolated LVNC [
6]. In an otherwise healthy population, the extent of hypertrabeculation was not associated with deterioration in cardiac function over more than 9 years of follow-up [
26]. Of note, the study assessed LV trabeculation with the conventional NC/C ratio that may be less sensitive and has suboptimal reproducibility. More studies are needed to confirm the prognostic implications of increased LV trabeculations, preferably using more accurate and precise approaches.
Fractal analysis is a novel and more objective approach of assessing the extent of LV trabeculations. Captur et al. had developed a fractal analysis plugin for the OsiriX program [
23]. Our semi-automatic fractal analysis algorithm is based on similar principles of box-counting and segmentation, but less complex and more automatic. Only the selection of ROI was manually defined by the user. This approach resulted in excellent intra−/inter-observer reproducibility and accuracy when validated against fractals of known FD. The fractal analysis tool is now freely available as a standalone package on GitHub (
https://doi.org/10.5281/zenodo.836797),and not limited as a plugin developed specifically for any analysis program.
In a recent study, Captur et al. demonstrated no association between FD and age, sex and allometric parameters. The extent of LV trabeculations varied with ethnicities, highest FD in African Americans and Hispanics and least in Chinese Americans [
27]. These observations were made in participants with BMI <25 kg/m
2 and older participants >45 years. Our population was more homogeneous (Singaporean Chinese) with a much wider age range (20–69 years). At least 15–20 individuals were systematically recruited in each age decile in either sex. We reported higher FD values in males compared to females and an association between FD and age, particularly in males. It is likely these findings were not observed in the MESA population because of the narrower age range in their study. The maximal apical FD in our study was 1.278 compared to 1.197 in Chinese Americans [
27]. These differences can be explained by the different methodologies in fractal assessment. The field strength used in the two studies are different that theoretically, may affect the spatial resolution of LV trabeculations and FD values. These observations highlighted the importance of establishing normal FD reference ranges specific to the population, fractal analysis tool and CMR platform. We tested the reference ranges in a group of patients with confirmed and suspected LVNC. All confirmed LVNC patients (NC/C ratio > 2.3 and at least 1 risk factor) had abnormally high FD values. Conversely, 38% of patients with suspected LVNC had normal FD that suggest they may have been misclassified as LVNC based on NC/C ratio.
Using fractal analysis as a more sensitive technique of assessing LV trabeculation, we examined the association between extent of LV trabeculation and myocardial structure and function in the healthy subjects. Unlike NC/C ratio, FD as a measure of LV trabeculation was associated with increased cardiac volumes and LV mass (more eccentric hypertrophy phenotype), but not LV concentricity. Although reduction in myocardial deformation has been shown in LVNC patients [
36‐
39], our study demonstrated progressive impairment in regional circumferential strain with LV trabeculation extent even in healthy individuals. This was consistent with recent findings by Kawel et al. [
39], and we further demonstrated an impairment in diastolic relaxation with increased LV trabeculation in healthy subjects. Of note, NC/C ratio lacked any associations with strain parameters, underscoring the limitations of NC/C ratio. In normal hearts, trabeculae provide an active mechanical leverage during systole [
40]. It remains unclear if hypertrabeculation leads to deterioration of myocardial function or an epiphenomenon of adaptation to cardiac loading and other hemodynamic conditions. LV volumes increased in response to myocardial stress, causing trabecular muscles to become more prominent and increased trabeculations. This process may be reversible in some but in others, the heart may decompensate and fail [
41]. Based on insights from myocardial fiber orientation, the increased trabeculations likely involve remodeling of the mid-myocardial layer, where circumferential fibers are located [
28,
42]. Reduced diastolic strain rates with increased LV trabeculations suggest an association with abnormal relaxation and non-compliance of the LV, as evident in LVNC patients [
43,
44].
Study limitations
As fractal dimension provides a dimensionless representation of endocardial trabecular complexity, it may account for only part of the LVNC phenotype – prominent LV trabeculation and deep inter-trabecular recesses [
22]. The role of a thin compacted epicardial layer in the LVNC phenotype could be of diagnostic importance and has not been accounted for in fractal analysis [
6,
45]. The number of patients referred with possible LVNC in the study was relatively small because it is not a very common cardiac condition. Therefore, we were not able to establish the best FD measure (global, mean or maximum apical FD) that discriminates between normal and LVNC. Although of the three measures, global FD demonstrated the strongest and independent association with impaired myocardial deformation.