Evidence map›Paper›PMID 42630053›Full record

ArticleInternational journal for numerical methods in biomedical engineering2026

Direct Numerical Simulations of Inhalation in a 23-Generation Lung Model.

Marco Atzori, Emanuele Gallorini, Ciro Cottini, Andrea Benassi, Maurizio Quadrio

Abstract read
In one paragraph

Article in International journal for numerical methods in biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Human lungs fluid mechanics: an overview of current modelling techniques.The European physical journal. E, Soft matter · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Marco AtzoriDepartment of Aerospace Science and Technology, Politecnico di Milano, Milano, Italy.ORCID https://orcid.org/0000-0003-0790-8460
Emanuele GalloriniDepartment of Aerospace Science and Technology, Politecnico di Milano, Milano, Italy.ORCID https://orcid.org/0000-0002-8547-3100
Ciro CottiniChiesi Farmaceutici S.P.A., Parma, Italy.
Andrea BenassiChiesi Farmaceutici S.P.A., Parma, Italy.ORCID https://orcid.org/0000-0002-2597-9644
Maurizio QuadrioDepartment of Aerospace Science and Technology, Politecnico di Milano, Milano, Italy.ORCID https://orcid.org/0000-0002-7662-3576

Funding

Italian Research Center on High Performance Computing Big Data and Quantum Computing (ICSC), European Union - NextGenerationEU - and National Recovery and Resilience Plan (NRRP) - Mission 4 Component 2.
6 · The paper itself

Abstract

The air flows in the proximal and distal portions of the human lungs are interconnected: the lower Reynolds number in the deeper generations causes a progressive flow regularization, but mass conservation requires flow rate oscillations to propagate through the airway bifurcations. To explain how these competing effects shape the flow state in the deeper generations, we have performed the first high-fidelity numerical simulation of the air flow in a lung model that includes 23 successive bifurcations of a single planar airway. Turbulence modeling or assumptions on flow regimes are not required. The chosen flow rate is steady on average, and representative of the peak inspiratory flow reached by adult patients breathing through therapeutic inhalers. As expected, advection becomes progressively less important after each bifurcation, until a time-dependent Stokes regime governed solely by viscous diffusion is established in the smallest generations. However, fluctuations in this regime are relatively fast and large with respect to the mean flow, which is in contrast with the commonly agreed picture that only the breathing frequency is relevant at the scale of the alveoli. We demonstrate that the characteristic frequency and amplitude of these fluctuations are linked to the flow in the upper part of the bronchial tree, as they originate from the time-dependent flow splitting in the upper bifurcations. Even though these fluctuations are observed here in an idealized, rigid lung model, our findings suggest that the assumptions usually adopted in many of the current lung models might need to be revised.

Indexed as

Computer SimulationInhalationLungModels, BiologicalHumanscomputational fluid dynamics (CFD)deep airwaysdirect numerical simulations (DNS)lung modelsrespiratory flows

Identifiers

PMID42630053
PMCPMC13498875

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.