Evidence map›Paper›PMID 41647568›Full record

ArticleFundamental research2026

Augmented reality navigation for precise implantation of LC2 pelvic tunnel screws in minimally invasive surgery.

Jie Zang, Zhipeng Lin, Chaowei Ding, DongXiao Bian, Junjun Pan, Xiaodong Tang

Abstract read
In one paragraph

Article in Fundamental research, 2026. 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. [Innovations in pelvic tumor surgery : Review and outlook].Orthopadie (Heidelberg, Germany) · 2026
    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

6 authors.

Jie ZangMusculoskeletal Tumor Department, Peking University People's Hospital, Beijing 100044, China.
Zhipeng LinState Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China.
Chaowei DingMusculoskeletal Tumor Department, Peking University People's Hospital, Beijing 100044, China.
DongXiao BianMusculoskeletal Tumor Department, Peking University People's Hospital, Beijing 100044, China.
Junjun PanState Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China.
Xiaodong TangMusculoskeletal Tumor Department, Peking University People's Hospital, Beijing 100044, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Due to the considerable risk of trauma, traditional open surgery has been gradually replaced by minimally invasive surgery using tunnel screws. However, during minimally invasive pelvic surgery, surgical navigation can be improved by effectively using the augmented reality technique. This can further improve the accuracy of the surgery and reduce risks. Methods: This study adopts a registration approach based on the patient coordinate system and uses a specific manual setting comparison method to select the suitable 3D corner detection parameters. Results: After experiments, this strategy can effectively improve the accuracy of positioning during surgery. It achieves a balance in detection time and accuracy, which further reduces risks and injuries during surgery. Conclusions: Our technique can achieve more precise and safer results during minimally invasive pelvic surgery, which shows its great value and potential in the clinic.

Indexed as

3D corner detectionAugmented realityLC2 pelvic tunnel screwsMinimally invasive surgerySurgical navigation

Identifiers

PMID41647568
PMCPMC12869777

What OpenQuestion holds

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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.