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July 28, 2017Scientific Reports135 citationsOpen Access

High resolution 3-Dimensional imaging of the human cardiac conduction system from microanatomy to mathematical modeling

RSRobert S. StephensonAAAndrew AtkinsonPKPetros Kottas

Structured PICO

P
Population
Ex-vivo intact human heart (n=1)
I
Intervention
Contrast-enhanced micro-computed tomography (micro-CT) and mathematical modeling of cardiac electrical depolarization
O
Outcome
3-dimensional representation of the cardiac conduction system and extraction of cardiomyocyte orientationsurrogate

High-resolution 3D micro-CT imaging of the human cardiac conduction system provides unprecedented anatomical detail that can improve the fidelity of mathematical models of cardiac depolarization and guide surgical or ablation therapies.

Limitations

  • Insufficient spatial resolution to trace the right bundle branch continuously for its entire length
  • Technique does not differentiate various sub-compartments in terms of function

Abstract

Cardiac arrhythmias and conduction disturbances are accompanied by structural remodelling of the specialised cardiomyocytes known collectively as the cardiac conduction system. Here, using contrast enhanced micro-computed tomography, we present, in attitudinally appropriate fashion, the first 3-dimensional representations of the cardiac conduction system within the intact human heart. We show that cardiomyocyte orientation can be extracted from these datasets at spatial resolutions approaching the single cell. These data show that commonly accepted anatomical representations are oversimplified. We have incorporated the high-resolution anatomical data into mathematical simulations of cardiac electrical depolarisation. The data presented should have multidisciplinary impact. Since the rate of depolarisation is dictated by cardiac microstructure, and the precise orientation of the cardiomyocytes, our data should improve the fidelity of mathematical models. By showing the precise 3-dimensional relationships between the cardiac conduction system and surrounding structures, we provide new insights relevant to valvar replacement surgery and ablation therapies. We also offer a practical method for investigation of remodelling in disease, and thus, virtual pathology and archiving. Such data presented as 3D images or 3D printed models, will inform discussions between medical teams and their patients, and aid the education of medical and surgical trainees.

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Cite This Study

Stephenson et al. (2017) studied this question.

synapsesocial.com/papers/6a212d05dd404b250c9d1f1ahttps://doi.org/10.1038/s41598-017-07694-8
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