Evidence map›Paper›PMID 37695510›Full record

ArticlePhysical and engineering sciences in medicine2023

A novel in silico Nuss procedure for pectus excavatum patients.

Beop-Yong Lim, Dongman Ryu, Hoseok I, Chiseung Lee

Abstract read
In one paragraph

Article in Physical and engineering sciences in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Beop-Yong LimDepartment of Biomedical Engineering, Gradate School, and University Research Park, Pusan National University, Busan, 49241, Republic of Korea.
Dongman RyuMedical Research Institute, Pusan National University, Busan, 49241, Republic of Korea.
Hoseok IDepartment of Thoracic and Cardiovascular Surgery, School of Medicine, Biomedical Research Institute, Pusan National University, Pusan National University Hospital, Busan, 49241, Republic of Korea. ihoseok@pusan.ac.kr.
Chiseung LeeDepartment of Biomedical Engineering, School of Medicine, Biomedical Research Institute, Pusan National University, Pusan National University Hospital, Busan, 49241, Republic of Korea. victorich@pusan.ac.kr.ORCID http://orcid.org/0000-0002-6840-7750

Funding

National Research Foundation of Korea (NRF) NRF-2021R1I1A1A01055804National Research Foundation of Korea (NRF) NRF-2022R1F1A1066509
6 · The paper itself

Abstract

The purpose of this study is to suggest a novel in silico Nuss procedure that can predict the results of chest wall deformity correction. Three-dimensional (3D) geometric and finite element model of the chest wall were built from the 15-year-old male adolescent patient's computed tomography (CT) image with pectus excavatum of the mild deformity. A simulation of anterior translating the metal bar (T) and a simulation of maintaining equilibrium after 180-degree rotation (RE) were performed respectively. A RE simulation using the chest wall finite element model with intercostal muscles (REM) was also performed. Finally, the quantitative results of each in silico Nuss procedure were compared with those of postoperative patient. Furthermore, various mechanical indicators were compared between simulations. This confirmed that the REM simulation results were most similar to the actual patient's results. Through two clinical indicators that can be compared with postoperative patient and mechanical indicators, the authors consider that the REM of silico Nuss procedure proposed in this study is best simulated the actual surgery.

Indexed as

Funnel ChestThoracic WallAdolescentComputer SimulationHumansMaleComputer simulationFinite element analysisNuss procedurePectus excavatum

Identifiers

PMID37695510
PMCPMC10703950

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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.