Evidence map›Paper›PMID 38635118›Full record

ArticleInternational journal of computer assisted radiology and surgery2024

The development of a novel navigation system for reverse shoulder arthroplasty and its accuracy: a phantom and cadaveric study.

Qiyang Zhu, Chenkai Li, Xingqi Fan, Haitao Li, Qingxiang Hu, Yaohua He, Xiaojun Chen

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2024. 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
1.1field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Qiyang Zhu *Institute of Biomedical Manufacturing and Life Quality Engineering, State Key Laboratory of Mechanical System and Vibration, Room A925, School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai, 200240, China.
Chenkai Li *Department of Orthopaedics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xingqi FanInstitute of Biomedical Manufacturing and Life Quality Engineering, State Key Laboratory of Mechanical System and Vibration, Room A925, School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai, 200240, China.
Haitao LiInstitute of Biomedical Manufacturing and Life Quality Engineering, State Key Laboratory of Mechanical System and Vibration, Room A925, School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai, 200240, China.
Qingxiang HuDepartment of Orthopaedics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. Qingxiang_Hu@163.com.
Yaohua HeDepartment of Orthopaedics, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. heyaohua@sjtu.edu.cn.
Xiaojun ChenInstitute of Biomedical Manufacturing and Life Quality Engineering, State Key Laboratory of Mechanical System and Vibration, Room A925, School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai, 200240, China. xiaojunchen@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-0298-4491
Shanghai Jiao Tong University · CN

Funding

National Key R&D Program of China 2022YFE0197900National Natural Science Foundation of China 81971709National Natural Science Foundation of China 82011530141National Natural Science Foundation of China M-0019Shanghai Jiao Tong University Foundation on Medical and Technological Joint Science Research YG2021QN72Shanghai Jiao Tong University Foundation on Medical and Technological Joint Science Research YG2021ZD21Shanghai Jiao Tong University Foundation on Medical and Technological Joint Science Research YG2022QN056Shanghai Jiao Tong University Foundation on Medical and Technological Joint Science Research YG2023ZD15Shanghai Jiao Tong University Foundation on Medical and Technological Joint Science Research YG2023ZD19SJTU Global Strategic Partnership Fund 2023 SJTU-CORNELLthe Academician Expert Workstation of Jinshan District jszjz2020007Ythe Funding of Xiamen Science and Technology Bureau 3502Z20221012
6 · The paper itself

Abstract

purposeReverse shoulder arthroplasty has demonstrated excellent clinical efficacy for patients with shoulder joint diseases and is increasingly in demand. Traditional surgery faces challenges such as limited exposed surfaces and a narrow field of vision, leading to a shorter prosthesis lifespan and a higher risk of complications. In this study, an optical navigation system was proposed to assist surgeons in real-time tracking of the surgical scene.

methodsOur optical navigation system was developed using the NDI Polaris Spectra device and several open-source platforms. The first step involved using the preoperative medical image to plan screw implantation paths. Real-time tracking of the patient phantom or cadaver and the surgical instrument was achieved through registration and calibration algorithms. Surgeons were guided on drilling through visualization methods. Postoperative results were compared with the planned implantation paths, and an algorithm was introduced to correct errors caused by the incorrect beginning points.

resultsExperiments involved three scapula cadavers and their corresponding phantoms with identical anatomy. For each experiment, three holes were completed with drills with diameters of 3.2 mm and 8.0 mm, respectively. Comparisons between the postoperative actual screw implantation paths and the preoperative planned implantation paths revealed an entry error of 1.05 ± 0.15 mm and an angle error of 2.47 ± 0.55° for phantom experiments. For cadaver experiments, the entry error was 1.53 ± 0.22 mm, and the angle error was 4.91 ± 0.78°.

conclusionOur proposed optical navigation system successfully achieved real-time tracking of the surgical site, encompassing the patient phantom or cadaver and surgical instrument, thereby aiding surgeons in achieving precise surgical outcomes. Future study will explore the integration of robots to further enhance surgical efficiency and effectiveness.

Indexed as

Arthroplasty, Replacement, ShoulderCadaverPhantoms, ImagingAlgorithmsBone ScrewsHumansSurgery, Computer-AssistedSurgical Navigation SystemsCadaver experimentsOptical navigationReverse shoulder arthroplasty

Identifiers

PMID38635118
OpenAlexW4394920753

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.