Evidence map›Paper›PMID 29497841›Full record

ArticleJournal of medical systems2018

Airflow in Tracheobronchial Tree of Subjects with Tracheal Bronchus Simulated Using CT Image Based Models and CFD Method.

Shouliang Qi, Baihua Zhang, Yong Yue, Jing Shen, Yueyang Teng, Wei Qian, Jianlin Wu

Abstract read
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In one paragraph

Article in Journal of medical systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Forward Computational Modeling of Respiratory Airflow.Applied sciences (Basel, Switzerland) · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Computational fluid dynamics of the airways after left-upper pulmonary lobectomy: A case study.International journal for numerical methods in biomedical engineering · 2021
    Article
  12. Article
  13. Article
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

7 authors at 4 institutions in 2 countries.

Shouliang QiSino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China. qisl@bmie.neu.edu.cn.ORCID http://orcid.org/0000-0003-0977-1939
Baihua ZhangSino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China.
Yong YueDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Jing ShenDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Yueyang TengSino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China.
Wei QianSino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China.
Jianlin WuDepartment of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Northeastern University · CNAffiliated Zhongshan Hospital of Dalian University · CNChina Medical University · CNThe University of Texas at El Paso · US

Funding

National Natural Science Foundation of China 61672146National Natural Science Foundation of China 81671773
6 · The paper itself

Abstract

Tracheal Bronchus (TB) is a rare congenital anomaly characterized by the presence of an abnormal bronchus originating from the trachea or main bronchi and directed toward the upper lobe. The airflow pattern in tracheobronchial trees of TB subjects is critical, but has not been systemically studied. This study proposes to simulate the airflow using CT image based models and the computational fluid dynamics (CFD) method. Six TB subjects and three health controls (HC) are included. After the geometric model of tracheobronchial tree is extracted from CT images, the spatial distribution of velocity, wall pressure, wall shear stress (WSS) is obtained through CFD simulation, and the lobar distribution of air, flow pattern and global pressure drop are investigated. Compared with HC subjects, the main bronchus angle of TB subjects and the variation of volume are large, while the cross-sectional growth rate is small. High airflow velocity, wall pressure, and WSS are observed locally at the tracheal bronchus, but the global patterns of these measures are still similar to those of HC. The ratio of airflow into the tracheal bronchus accounts for 6.6-15.6% of the inhaled airflow, decreasing the ratio to the right upper lobe from 15.7-21.4% (HC) to 4.9-13.6%. The air into tracheal bronchus originates from the right dorsal near-wall region of the trachea. Tracheal bronchus does not change the global pressure drop which is dependent on multiple variables. Though the tracheobronchial trees of TB subjects present individualized features, several commonalities on the structural and airflow characteristics can be revealed. The observed local alternations might provide new insight into the reason of recurrent local infections, cough and acute respiratory distress related to TB.

Indexed as

AdultAgedBronchiCross-Sectional StudiesFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedPulmonary VentilationRespiratory MechanicsTomography, X-Ray ComputedTracheaAirflowComputational fluid dynamicsCT scanThe tracheobronchial treeTracheal bronchus

Identifiers

PMID29497841
OpenAlexW2791778753

What OpenQuestion holds

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Read underepoch 390

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.