Evidence map›Paper›PMID 39720744›Full record

ArticleHealthcare technology letters2024

StraightTrack: Towards mixed reality navigation system for percutaneous K-wire insertion.

Han Zhang, Benjamin D Killeen, Yu-Chun Ku, Lalithkumar Seenivasan, Yuxuan Zhao, Mingxu Liu, Yue Yang, Suxi Gu, Alejandro Martin-Gomez, Taylor and 2 more

Abstract read
In one paragraph

Article in Healthcare technology letters, 2024. 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. TwinOR: photorealistic digital twins of dynamic operating rooms for embodied AI research.International journal of computer assisted radiology and surgery · 2026
    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

12 authors.

Han ZhangDepartment of Computer Science Johns Hopkins University Baltimore Maryland USA.ORCID https://orcid.org/0009-0005-9458-8494
Benjamin D KilleenDepartment of Computer Science Johns Hopkins University Baltimore Maryland USA.
Yu-Chun KuDepartment of Computer Science Johns Hopkins University Baltimore Maryland USA.
Lalithkumar SeenivasanDepartment of Computer Science Johns Hopkins University Baltimore Maryland USA.
Yuxuan ZhaoDepartment of Computer Science Johns Hopkins University Baltimore Maryland USA.
Mingxu LiuDepartment of Computer Science Johns Hopkins University Baltimore Maryland USA.
Yue YangDepartment of Computer Science Johns Hopkins University Baltimore Maryland USA.
Suxi GuDepartment of Computer Science Johns Hopkins University Baltimore Maryland USA.
Alejandro Martin-GomezDepartment of Computer Science Johns Hopkins University Baltimore Maryland USA.
TaylorDepartment of Computer Science Johns Hopkins University Baltimore Maryland USA.
Greg OsgoodDepartment of Orthopaedic Surgery Johns Hopkins Medicine Baltimore Maryland USA.
Mathias UnberathDepartment of Computer Science Johns Hopkins University Baltimore Maryland USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In percutaneous pelvic trauma surgery, accurate placement of Kirschner wires (K-wires) is crucial to ensure effective fracture fixation and avoid complications due to breaching the cortical bone along an unsuitable trajectory. Surgical navigation via mixed reality (MR) can help achieve precise wire placement in a low-profile form factor. Current approaches in this domain are as yet unsuitable for real-world deployment because they fall short of guaranteeing accurate visual feedback due to uncontrolled bending of the wire. To ensure accurate feedback, StraightTrack, an MR navigation system designed for percutaneous wire placement in complex anatomy, is introduced. StraightTrack features a marker body equipped with a rigid access cannula that mitigates wire bending due to interactions with soft tissue and a covered bony surface. Integrated with an optical see-through head-mounted display capable of tracking the cannula body, StraightTrack offers real-time 3D visualization and guidance without external trackers, which are prone to losing line-of-sight. In phantom experiments with two experienced orthopedic surgeons, StraightTrack improves wire placement accuracy, achieving the ideal trajectory within

Indexed as

optical trackingorthopaedicsportable instrumentsuser interfacesvirtual reality

Identifiers

PMID39720744
PMCPMC11665788

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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.