Table 2:

Summary of relative advantages and limitations of each imaging-based biomechanics approach

ParametersAdvantagesLimitations
Strain-based parameters
  • • Simple, feasible computation

  • • Versatile imaging modalities for measurement

  • • Does not incorporate effect of blood pressure

  • • Paucity of evidence as independent predictor of adverse aortic events

Stiffness-based parameters
  • • Incorporates effect of blood pressure

  • • Preliminary evidence suggests parameters predictive of adverse aortic events

  • • Lack of standardization definitions

  • • Reliable non-invasive estimation of central blood pressure remains challenging

Computational modelling
  • • High-resolution analysis of aortic wall response to haemodynamic stresses

  • • Provides mechanistic model of aortic biomechanics

  • • Requires significant modelling assumptions

  • • High computational costs

  • • Technical engineering expertise required to develop and run models

ParametersAdvantagesLimitations
Strain-based parameters
  • • Simple, feasible computation

  • • Versatile imaging modalities for measurement

  • • Does not incorporate effect of blood pressure

  • • Paucity of evidence as independent predictor of adverse aortic events

Stiffness-based parameters
  • • Incorporates effect of blood pressure

  • • Preliminary evidence suggests parameters predictive of adverse aortic events

  • • Lack of standardization definitions

  • • Reliable non-invasive estimation of central blood pressure remains challenging

Computational modelling
  • • High-resolution analysis of aortic wall response to haemodynamic stresses

  • • Provides mechanistic model of aortic biomechanics

  • • Requires significant modelling assumptions

  • • High computational costs

  • • Technical engineering expertise required to develop and run models

Table 2:

Summary of relative advantages and limitations of each imaging-based biomechanics approach

ParametersAdvantagesLimitations
Strain-based parameters
  • • Simple, feasible computation

  • • Versatile imaging modalities for measurement

  • • Does not incorporate effect of blood pressure

  • • Paucity of evidence as independent predictor of adverse aortic events

Stiffness-based parameters
  • • Incorporates effect of blood pressure

  • • Preliminary evidence suggests parameters predictive of adverse aortic events

  • • Lack of standardization definitions

  • • Reliable non-invasive estimation of central blood pressure remains challenging

Computational modelling
  • • High-resolution analysis of aortic wall response to haemodynamic stresses

  • • Provides mechanistic model of aortic biomechanics

  • • Requires significant modelling assumptions

  • • High computational costs

  • • Technical engineering expertise required to develop and run models

ParametersAdvantagesLimitations
Strain-based parameters
  • • Simple, feasible computation

  • • Versatile imaging modalities for measurement

  • • Does not incorporate effect of blood pressure

  • • Paucity of evidence as independent predictor of adverse aortic events

Stiffness-based parameters
  • • Incorporates effect of blood pressure

  • • Preliminary evidence suggests parameters predictive of adverse aortic events

  • • Lack of standardization definitions

  • • Reliable non-invasive estimation of central blood pressure remains challenging

Computational modelling
  • • High-resolution analysis of aortic wall response to haemodynamic stresses

  • • Provides mechanistic model of aortic biomechanics

  • • Requires significant modelling assumptions

  • • High computational costs

  • • Technical engineering expertise required to develop and run models

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