A non-invasive computational framework that infers regional arterial stiffness solely from routinely acquired pressure and blood flow velocity waveforms via personalized one-dimensional haemodynamic models demonstrated strong concordance with clinical measurements and revealed therapy-dependent arterial remodelling.
The computational framework for inferring regional arterial stiffness showed strong concordance with clinical brachial-ankle pulse wave velocity measurements.
Patient-specific one-dimensional haemodynamic models were successfully constructed using routinely available clinical data inputs.
Calcium channel blockers selectively reduced pathological arterial stiffening while preserving compliant vessels.
Conventional inverse approaches for characterizing arterial wall mechanics require high-resolution imaging, restricting their clinical applicability.
The model-based inversion approach is characterized as a practical and scalable method for individualized cardiovascular risk assessment and treatment monitoring.
This research describes a new computer-based method for measuring how stiff arteries are throughout the body without requiring invasive procedures or specialized imaging equipment. The method works by taking standard clinical measurements—blood pressure, blood flow velocity, and basic vessel dimensions—and feeding them into a personalized mathematical model of the patient's arterial network. The model then works backward to figure out how stiff different sections of the arteries must be to produce the observed blood flow patterns. When tested in 21 people with high blood pressure, the method's results matched well with standard clinical stiffness measurements (correlation r = 0.81). The researchers also followed 13 of these patients over time as they received treatment, and found that the method could detect how different medications changed arterial stiffness. Specifically, a class of blood pressure medications called calcium channel blockers appeared to selectively reduce stiffness in the most abnormally stiff arterial segments, while leaving normally flexible vessels unchanged. This level of detail about where and how treatment is working was captured using only routine clinical measurements. This research suggests that detailed, region-by-region arterial stiffness assessment—previously possible only with specialized imaging—could become practical in routine clinical settings using equipment that is already widely available. Arterial stiffness is known to be an important predictor of heart disease and stroke, so a more accessible way to measure it could potentially improve how cardiovascular risk is assessed and how treatments are monitored over time.
Zhang X, Wu D, Miao F, Zhong J, Yu F, Zhang X, et al.. (2026). Personalized haemodynamic modelling for non-invasive quantification of arterial stiffness in the human vasculature.. Journal of the Royal Society, Interface. https://doi.org/10.1098/rsif.2025.1318