# A Monte Carlo-Based 3D Whole Lung Model for Aerosol Deposition Studies: Implementation and Validation

**Authors:** Georgi Hristov Spasov, Ciro Cottini, Andrea Benassi

PMC · DOI: 10.3390/bioengineering12101092 · Bioengineering · 2025-10-10

## TL;DR

This paper introduces a 3D lung model using Monte Carlo methods to study how aerosols deposit in the bronchial tree, helping improve inhaled drug design.

## Contribution

A novel Monte Carlo-based 3D lung model that simulates aerosol transport and deposition in realistic bronchial structures, including pathologies.

## Key findings

- The model can simulate aerosol deposition in both healthy and diseased bronchial trees.
- The model is validated against total and regional deposition patterns in healthy subjects.
- The model supports complex inhalation maneuvers and stochastic bronchial tree generation.

## Abstract

A detailed picture of how an aerosol is transported and deposited in the self-affine bronchial tree structure of patients is fundamental to design and optimize orally inhaled drug products. This work describes a Monte Carlo-based statistical deposition model able to simulate aerosol transport and deposition in a 3D human bronchial tree. The model enables working with complex and realistic inhalation maneuvers including breath-holding and exhalation. It can run on fully stochastically generated bronchial trees as well as on those whose proximal airways are extracted from patient chest scans. However, at present, a mechanical breathing model is not explicitly included in our trees; their ventilation can be controlled by means of heuristic airflow splitting rules at bifurcations and by an alveolation index controlling the distal lung volume. Our formulation allows us to introduce different types of pathologies on the trees, both those altering their morphology (e.g., bronchiectasis and chronic obstructive pulmonary disease) and those impairing their function (e.g., interstitial lung diseases and emphysema). In this initial activity we describe deposition and ventilation models as well as the stochastic tree construction algorithm, and we validate them against total, regional, lobar, and sub-lobar deposition for healthy subjects.

## Linked entities

- **Diseases:** bronchiectasis (MONDO:0004822), chronic obstructive pulmonary disease (MONDO:0005002), emphysema (MONDO:0004849)

## Full-text entities

- **Diseases:** emphysema (MESH:D004646), bronchiectasis (MESH:D001987), interstitial lung diseases (MESH:D017563), chronic obstructive pulmonary disease (MESH:D029424)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12561813/full.md

## References

77 references — full list in the complete paper: https://tomesphere.com/paper/PMC12561813/full.md

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Source: https://tomesphere.com/paper/PMC12561813