Evidence map›Paper›PMID 37760196›Full record

ArticleBioengineering (Basel, Switzerland)2023

Augmented Reality Surgical Navigation in Minimally Invasive Spine Surgery: A Preclinical Study.

Xin Huang, Xiaoguang Liu, Bin Zhu, Xiangyu Hou, Bao Hai, Dongfang Yu, Wenhao Zheng, Ranyang Li, Junjun Pan, Youjie Yao and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  5. DDCANet for SiOFrontiers in plant science · 2026
    Article
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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

12 authors.

Xin HuangPain Medicine Center, Peking University Third Hospital, Beijing 100191, China.
Xiaoguang LiuPain Medicine Center, Peking University Third Hospital, Beijing 100191, China.
Bin ZhuDepartment of Orthopedics, Beijing Friendship Hospital, Beijing 100052, China.
Xiangyu HouDepartment of Orthopedics, Peking University Third Hospital, Beijing 100191, China.
Bao HaiDepartment of Orthopedics, Peking University Third Hospital, Beijing 100191, China.ORCID 0000-0001-7404-918X
Dongfang YuState Key Laboratory of Virtual Reality Technology and Systems, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100191, China.
Wenhao ZhengState Key Laboratory of Virtual Reality Technology and Systems, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100191, China.
Ranyang LiState Key Laboratory of Virtual Reality Technology and Systems, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100191, China.
Junjun PanState Key Laboratory of Virtual Reality Technology and Systems, Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing 100191, China.ORCID 0000-0002-7991-9540
Youjie YaoSmart Learning Institute, Beijing Normal University, Beijing 100875, China.
Zailin DaiSmart Learning Institute, Beijing Normal University, Beijing 100875, China.
Haijun ZengSmart Learning Institute, Beijing Normal University, Beijing 100875, China.

Funding

National Key Research and Development Program of China 2017YFC0108100
6 · The paper itself

Abstract

backgroundIn minimally invasive spine surgery (MISS), where the surgeon cannot directly see the patient's internal anatomical structure, the implementation of augmented reality (AR) technology may solve this problem.

methodsWe combined AR, artificial intelligence, and optical tracking to enhance the augmented reality minimally invasive spine surgery (AR-MISS) system. The system has three functions: AR radiograph superimposition, AR real-time puncture needle tracking, and AR intraoperative navigation. The three functions of the system were evaluated through beagle animal experiments.

resultsThe AR radiographs were successfully superimposed on the real intraoperative videos. The anteroposterior (AP) and lateral errors of superimposed AR radiographs were 0.74 ± 0.21 mm and 1.13 ± 0.40 mm, respectively. The puncture needles could be tracked by the AR-MISS system in real time. The AP and lateral errors of the real-time AR needle tracking were 1.26 ± 0.20 mm and 1.22 ± 0.25 mm, respectively. With the help of AR radiographs and AR puncture needles, the puncture procedure could be guided visually by the system in real-time. The anteroposterior and lateral errors of AR-guided puncture were 2.47 ± 0.86 mm and 2.85 ± 1.17 mm, respectively.

conclusionsThe results indicate that the AR-MISS system is accurate and applicable.

Indexed as

augmented realityminimally invasive spine surgeryreal-time visualizationsurgical navigation

Identifiers

PMID37760196
PMCPMC10525156

What OpenQuestion holds

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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.