Evidence map›Paper›PMID 38074117›Full record

ArticleFrontiers in pharmacology2023

A novel approach to pulmonary bronchial tree model construction and performance index study.

Yang Liu, Weiyan Qiu, Longyu Li, Rongchang Chen, Yan Kang, Shuangchen Ruan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Yang LiuCollege of Applied Sciences, Shenzhen University, Shenzhen, China.
Weiyan QiuMedical Health and Intelligent Simulation Laboratory, Health Science and Environmental Engineering School, Shenzhen Technology University, Shenzhen, China.
Longyu LiMedical Health and Intelligent Simulation Laboratory, Health Science and Environmental Engineering School, Shenzhen Technology University, Shenzhen, China.
Rongchang ChenState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, The National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical College, Guangzhou, China.
Yan KangMedical Health and Intelligent Simulation Laboratory, Health Science and Environmental Engineering School, Shenzhen Technology University, Shenzhen, China.
Shuangchen RuanCollege of Applied Sciences, Shenzhen University, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The demand for respiratory disease and dynamic breathing studies has continuously driven researchers to update the pulmonary bronchial tree's morphology model. This study aims to construct a bronchial tree morphology model efficiently and effectively with practical algorithms. We built a performance index system using failure branch rate, volume ratio, and coefficient of variation of terminal volumes to evaluate the model performance. We optimized the parameter settings and found the best options to build the morphology model, and we constructed a 14th-generation bronchial tree model with a decent performance index. The dimensions of our model closely matched published data from anatomic

Indexed as

bronchial treemodel organismsmorphology modelpulmonary diseaserespiratory disease

Identifiers

PMID38074117
PMCPMC10701547

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.