Back

Revisiting the Structure of the Ventricular Myocardium in Tetralogy of Fallot Using Hierarchical Phase Contrast Tomography and Structure Tensor Analysis

Sabarigirivasan, V.; Brunet, J.; Dejea, H.; Crucean, A.; Jegatheeswaran, A.; Bosi, G.; Urban, T.; Chestnutt, L.; Purzycka, J.; Tafforeau, P.; Friedberg, M. K.; Lee, P. D.; Cook, A. C.

2026-05-04 physiology
10.64898/2026.04.29.721688 bioRxiv
Show abstract

BACKGROUNDIn tetralogy of Fallot (ToF), changes to right ventricular (RV) function (as seen by strain or TAPSE) relate to altered myocardial structure. Direct three-dimensional anatomical evidence supporting these changes remains limited. OBJECTIVESTo non-destructively characterize myocardial architecture in pediatric ToF hearts using Hierarchical Phase-Contrast Tomography (HiP-CT) and structure tensor analysis. METHODSTwenty ToF and control pediatric hearts were imaged at the European Synchrotron, ESRF. Myocyte orientation was assessed through structure tensor analysis and distributed high-performance computing. A region-specific framework was developed for analysis of the RV. The predominant direction of myocardial aggregates (their helical angle) was compared across ventricular regions. RESULTSSignificant differences in orientation were found in all ToF segments vs controls (left ventricle, RV inlet, RV outflow tract, septum; p < 0.001). Myocytes in the ToF RV inlet were more circumferential overall, with regional heterogeneity. Contrary to traditional models, no discrete middle layer was found in the ToF RV, instead, a shift towards more circumferentially orientated myocytes and disrupted septal and outflow components was observed. RV contribution to the septum was greater in ToF (47.3% vs 34.0% ; p = 0.0026) with extension of ventricular insertion points disrupting septal architecture. There were more longitudinally oriented myocytes in the ToF RVOT, consistent with hypertrophied septo-parietal trabeculations. LV structure in ToF demonstrated a greater proportion of circumferentially oriented myocytes vs controls. CONCLUSIONSWe reveal profound alterations in ToF myocardial organization which broadly align with clinical observations and provide the first open-access HiP-CT congenital heart disease data as a basis for future computational modelling.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Journal of the American Heart Association
119 papers in training set
Top 0.4%
12.5%
2
Scientific Reports
3102 papers in training set
Top 4%
12.5%
3
Frontiers in Physiology
93 papers in training set
Top 0.3%
9.3%
4
Frontiers in Cardiovascular Medicine
49 papers in training set
Top 0.4%
7.3%
5
PLOS ONE
4510 papers in training set
Top 23%
7.3%
6
Journal of Anatomy
27 papers in training set
Top 0.1%
4.4%
50% of probability mass above
7
Human Brain Mapping
295 papers in training set
Top 2%
3.6%
8
European Respiratory Journal
54 papers in training set
Top 0.5%
3.6%
9
American Journal of Physiology-Heart and Circulatory Physiology
32 papers in training set
Top 0.3%
3.6%
10
Journal of Molecular and Cellular Cardiology
39 papers in training set
Top 0.3%
3.1%
11
Biomechanics and Modeling in Mechanobiology
25 papers in training set
Top 0.3%
2.6%
12
Ultrasound in Medicine & Biology
10 papers in training set
Top 0.2%
1.9%
13
JACC: Clinical Electrophysiology
11 papers in training set
Top 0.2%
1.9%
14
The Journal of Physiology
134 papers in training set
Top 0.9%
1.5%
15
Journal of the American College of Cardiology
12 papers in training set
Top 0.4%
1.5%
16
Circulation
66 papers in training set
Top 2%
1.0%
17
Nature Communications
4913 papers in training set
Top 60%
0.9%
18
Journal of Applied Physiology
29 papers in training set
Top 0.4%
0.9%
19
Aperture Neuro
18 papers in training set
Top 0.3%
0.8%
20
Journal of Medical Imaging
11 papers in training set
Top 0.3%
0.8%
21
Cardiovascular Research
33 papers in training set
Top 0.9%
0.8%
22
Disease Models & Mechanisms
119 papers in training set
Top 3%
0.8%
23
eLife
5422 papers in training set
Top 57%
0.8%
24
Frontiers in Medicine
113 papers in training set
Top 7%
0.8%
25
PLOS Computational Biology
1633 papers in training set
Top 29%
0.5%
26
American Journal of Respiratory and Critical Care Medicine
39 papers in training set
Top 1%
0.5%
27
Physiological Measurement
12 papers in training set
Top 0.5%
0.5%