Evidence map›Paper›PMID 35228582›Full record

ArticleScientific reports2022

Functional analysis of the airways after pulmonary lobectomy through computational fluid dynamics.

Lorenzo Aliboni, Marta Tullio, Francesca Pennati, Antonella Lomauro, Rosaria Carrinola, Gianpaolo Carrafiello, Mario Nosotti, Alessandro Palleschi, Andrea Aliverti

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  3. Review
  4. Article
  5. Review
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

9 authors at 2 institutions in 1 country.

Lorenzo AliboniTBMLab - Laboratorio di Tecnologie Biomediche, Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico Di Milano, Via Colombo, 40 (2° floor), 20133, Milan, Italy. lorenzo.aliboni@polimi.it.
Marta TullioTBMLab - Laboratorio di Tecnologie Biomediche, Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico Di Milano, Via Colombo, 40 (2° floor), 20133, Milan, Italy.
Francesca PennatiTBMLab - Laboratorio di Tecnologie Biomediche, Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico Di Milano, Via Colombo, 40 (2° floor), 20133, Milan, Italy.
Antonella LomauroTBMLab - Laboratorio di Tecnologie Biomediche, Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico Di Milano, Via Colombo, 40 (2° floor), 20133, Milan, Italy.
Rosaria CarrinolaDepartment of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
Gianpaolo CarrafielloDiagnostic and Interventional Radiology Department, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, 20122, Milan, Italy.
Mario NosottiDepartment of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
Alessandro PalleschiDepartment of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
Andrea AlivertiTBMLab - Laboratorio di Tecnologie Biomediche, Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico Di Milano, Via Colombo, 40 (2° floor), 20133, Milan, Italy.
Politecnico di Milano · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary lobectomy, which consists of the partial or complete resection of a lung lobe, is the gold standard intervention for lung cancer removal. The removal of functional tissue during the surgery and the re-adaptation of the remaining thoracic structures decrease the patient's post-operative pulmonary function. Residual functionality is evaluated through pulmonary function tests, which account for the number of resected segments without considering local structural alterations and provide an average at-the-mouth estimation. Computational Fluid Dynamics (CFD) has been demonstrated to provide patient-specific, quantitative, and local information about airways airflow dynamics. A CFD investigation was performed on image-based airway trees reconstructed before and after the surgery for twelve patients who underwent lobectomy at different lobes. The geometrical alterations and the variations in fluid dynamics parameters and in lobar ventilation between the pre and post-operative conditions were evaluated. The post-operative function was estimated and compared with current clinical algorithms and with actual clinical data. The post-operative configuration revealed a high intersubject variability: regardless of the lobectomy site, an increment of global velocity, wall pressure, and wall shear stress was observed. Local flow disturbances also emerged at, and downstream of, the resection site. The analysis of lobar ventilation showed severe variations in the volume flow rate distribution, highlighting the compensatory effects in the contralateral lung with an increment of inflow. The estimation of post-operative function through CFD was comparable with the current clinical algorithm and the actual spirometric measurements. The results confirmed that CFD could provide additional information to support the current clinical approaches both in the operability assessment and in the prescription of personalized respiratory rehabilitation.

Indexed as

HydrodynamicsLung NeoplasmsComputer SimulationHumansLungRespiratory Function Tests

Identifiers

PMID35228582
PMCPMC8885819
OpenAlexW4214755360

What OpenQuestion holds

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LicenceCC BY
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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.