Evidence map›Paper›PMID 38375409›Full record

ReviewFrontiers in surgery2024

The application of extended reality technology-assisted intraoperative navigation in orthopedic surgery.

Dongxiao Bian, Zhipeng Lin, Hao Lu, Qunjie Zhong, Kaifeng Wang, Xiaodong Tang, Jie Zang

Registry-linked trialAbstract readReview
In one paragraph

Review in Frontiers in surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07636278 (Artificial Intelligence-Based Identification of the Target Zone on Arthroscopic Images During Knee Anterior Cruciate Ligament Reconstruction), which is not on this map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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.

NCT07636278 recruitingnot on this mapstarted 2026, after this paper: background citation

Artificial Intelligence-Based Identification of the Target Zone on Arthroscopic Images During Knee Anterior Cruciate Ligament Reconstruction: An Observational Study

TypeobservationalSponsorI.R.C.C.S Ospedale Galeazzi-Sant'AmbrogioRan2026 to 2027Enrolled100ConditionsAnterior Cruciate Ligament (ACL) TearArmsPrimary arthroscopic anterior cruciate ligament reconstruction
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Colour-Guided Surgery: A Conceptual Framework for Multimodal Intraoperative Visualisation-A Narrative Review.The international journal of medical robotics + computer assisted surgery : MRCAS · 2026
    Review
  4. Article
  5. Review
  6. Observational
  7. Review
  8. Medical Digital Twin Technology for Interoperability: Challenges and Opportunities.Biomedical engineering and computational biology · 2026
    Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. 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

7 authors.

Dongxiao BianDepartment of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China.
Zhipeng LinState Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China.
Hao LuTraumatic Orthopedic Department, Peking University People's Hospital, Beijing, China.
Qunjie ZhongArthritis Clinic and Research Center, Peking University People's Hospital, Beijing, China.
Kaifeng WangSpinal Surgery Department, Peking University People's Hospital, Beijing, China.
Xiaodong TangDepartment of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China.
Jie ZangDepartment of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extended reality (XR) technology refers to any situation where real-world objects are enhanced with computer technology, including virtual reality, augmented reality, and mixed reality. Augmented reality and mixed reality technologies have been widely applied in orthopedic clinical practice, including in teaching, preoperative planning, intraoperative navigation, and surgical outcome evaluation. The primary goal of this narrative review is to summarize the effectiveness and superiority of XR-technology-assisted intraoperative navigation in the fields of trauma, joint, spine, and bone tumor surgery, as well as to discuss the current shortcomings in intraoperative navigation applications. We reviewed titles of more than 200 studies obtained from PubMed with the following search terms: extended reality, mixed reality, augmented reality, virtual reality, intraoperative navigation, and orthopedic surgery; of those 200 studies, 69 related papers were selected for abstract review. Finally, the full text of 55 studies was analyzed and reviewed. They were classified into four groups-trauma, joint, spine, and bone tumor surgery-according to their content. Most of studies that we reviewed showed that XR-technology-assisted intraoperative navigation can effectively improve the accuracy of implant placement, such as that of screws and prostheses, reduce postoperative complications caused by inaccurate implantation, facilitate the achievement of tumor-free surgical margins, shorten the surgical duration, reduce radiation exposure for patients and surgeons, minimize further damage caused by the need for visual exposure during surgery, and provide richer and more efficient intraoperative communication, thereby facilitating academic exchange, medical assistance, and the implementation of remote healthcare.

Indexed as

augmented reality (AR)extended reality (XR)intraoperative navigationmixed reality (MR)orthopedic surgeryvirtual reality (VR)

Identifiers

PMID38375409
PMCPMC10875025

What OpenQuestion holds

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Registered trials

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.