Evidence map›Paper›PMID 39707113›Full record

ArticleJournal of imaging informatics in medicine2025

RibMR - A Mixed Reality Visualization System for Rib Fracture Localization in Surgical Stabilization of Rib Fractures: Phantom, Preclinical, and Clinical Studies.

Hoijoon Jung, Jineel Raythatha, Alireza Moghadam, Ge Jin, Jiawei Mao, Jeremy Hsu, Jinman Kim

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of imaging informatics in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07243808 (Comparison of Mixed Reality and Ultrasound Localization Techniques for Surgical Stabilization of Rib Fractures), which is not on this 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.

NCT07243808 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Comparison of Mixed Reality and Ultrasound Localization Techniques for Surgical Stabilization of Rib Fractures

TypeobservationalSponsorNational Taiwan University HospitalRan2026 to 2027Enrolled30ConditionsSurgical Stabilization of Rib Fracture
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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.

Hoijoon JungBiomedical Data Analysis and Visualisation (BDAV) Lab, School of Computer Science, The University of Sydney, Camperdown, NSW, 2050, Australia.
Jineel RaythathaTrauma Service, Westmead Hospital, Westmead, NSW, 2145, Australia.
Alireza MoghadamTrauma Service, Westmead Hospital, Westmead, NSW, 2145, Australia.
Ge JinBiomedical Data Analysis and Visualisation (BDAV) Lab, School of Computer Science, The University of Sydney, Camperdown, NSW, 2050, Australia.
Jiawei MaoBiomedical Data Analysis and Visualisation (BDAV) Lab, School of Computer Science, The University of Sydney, Camperdown, NSW, 2050, Australia.
Jeremy HsuTrauma Service, Westmead Hospital, Westmead, NSW, 2145, Australia.
Jinman KimBiomedical Data Analysis and Visualisation (BDAV) Lab, School of Computer Science, The University of Sydney, Camperdown, NSW, 2050, Australia. jinman.kim@sydney.edu.au.ORCID http://orcid.org/0000-0001-5960-1060

Funding

Royal Australasian College of Surgeons Royal Australasian College of Surgeons
6 · The paper itself

Abstract

In surgical stabilization of rib fractures (SSRF), the current standard relies on preoperative CT imaging and often incorporates ultrasound (US) imaging. As an alternative, mixed reality (MR) technology holds promise for improving rib fracture localization. This study presents an MR-based visualization system designed for SSRF in a clinical setting. We developed RibMR - a visualization system using an MR head-mounted display that projects a patient-specific 3D hologram onto the patient. RibMR enables the localization of rib fractures in relation to the patient's anatomy. We conducted phantom study using a human mannequin, a preclinical study with two healthy patients, and clinical study with two patients to evaluate RibMR and compared it to US practice. RibMR localized rib fractures with an average accuracy of 0.38 ± 0.21 cm in phantom, 3.75 ± 2.45 cm in preclinical, and 1.47 ± 1.33 cm in clinical studies. RibMR took an average time (minutes) of 4.42 ± 0.98 for the phantom, 8.03 ± 3.67 for the preclinical, and 8.76 ± 0.65 for the clinical studies. Compared to US, RibMR located more fractures, including fractures occluded by other structures, with higher accuracy, faster speed, and improved localization rate. All participating surgeons provided positive feedback regarding accuracy, visualization quality, and usability. RibMR enabled accurate and time-efficient localization of rib fractures and showed better performance compared to US. RibMR is a promising alternative to US for localizing rib fractures in SSRF.

Indexed as

Magnetic Resonance ImagingRib FracturesAdultFemaleHumansImaging, Three-DimensionalMaleMiddle AgedPhantoms, ImagingFracture localizationHoloLensMixed realityPatient-specific hologramsSurgical stabilization of rib fracturesVisualization system

Identifiers

PMID39707113
PMCPMC12572520

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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.