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Understanding the mismatch between in-vivo and in-silico rhinomanometry
Marco Atzori1, Gabriele Dini Ciacci2, Maurizio Quadrio3
1Department of Aerospace Science and Technology, Politecnico di Milano, Campus Bovisa, Milano, 20156, Italy. marco.atzori@polimi.it.
Medical & Biological Engineering & Computing
|September 25, 2025
Summary
Discrepancies in nasal resistance measurements between simulations and clinical devices may stem from the probe's placement on rhinomanometers. This device design flaw, not simulation uncertainty, significantly impacts nasal resistance data accuracy.
Area of Science:
- Biomedical Engineering
- Medical Device Design
- Respiratory Physiology
Background:
- Clinical measurements and numerical simulations of nasal resistance show significant quantitative disagreements, often exceeding 100%.
- Existing known sources of uncertainty do not adequately explain this large mismatch in nasal resistance data.
Purpose of the Study:
- To investigate a previously unconsidered source of bias in rhinomanometry: the design of the medical device itself.
- To evaluate the impact of the ambient pressure probe's location on the accuracy of rhinomanometer measurements.
Main Methods:
- Rhinomanometry was performed on a 3D silicone model of patient-specific nasal anatomy.
- A clinical rhinomanometer and dedicated sensors were used concurrently for validation.
- Numerical simulations of airflow were conducted using various fidelity levels on the same anatomical model.
Main Results:
- The intrinsic uncertainty of numerical simulations was found to be of minor importance.
- The location of the pressure tap for measuring external pressure critically influences the results.
- Probe placement can account for mismatches comparable to those seen between in-silico and in-vivo data.
Conclusions:
- A systematic bias may exist in current rhinomanometer designs.
- The assumption that external pressure measurements are unaffected by internal flow development may be flawed.
- Optimizing probe placement in rhinomanometers is crucial for improving measurement accuracy.

