Evidence map›Paper›PMID 28815387›Full record

ArticleAnnals of biomedical engineering2017

Image-Guided Surgical Robotic System for Percutaneous Reduction of Joint Fractures.

Giulio Dagnino, Ioannis Georgilas, Samir Morad, Peter Gibbons, Payam Tarassoli, Roger Atkins, Sanja Dogramadzi

Open access · hybridAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
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

11 citing papers in PubMed, 52 citations in OpenAlex.

  1. Review
  2. A simulation environment for robot-assisted endovascular interventions.International journal of computer assisted radiology and surgery · 2025
    Article
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  6. Review
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  11. Robotics in trauma and orthopaedics.Annals of the Royal College of Surgeons of England · 2018
    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

7 authors at 2 institutions in 1 country.

Giulio DagninoBristol Robotics Laboratory, University of the West of England, Coldharbour Lane, Bristol, BS161QY, UK. dagnino.giulio@gmail.com.ORCID http://orcid.org/0000-0002-1613-1051
Ioannis GeorgilasBristol Robotics Laboratory, University of the West of England, Coldharbour Lane, Bristol, BS161QY, UK.
Samir MoradBristol Robotics Laboratory, University of the West of England, Coldharbour Lane, Bristol, BS161QY, UK.
Peter GibbonsBristol Robotics Laboratory, University of the West of England, Coldharbour Lane, Bristol, BS161QY, UK.
Payam TarassoliUniversity Hospitals Bristol, Upper Maudlin Street, Bristol, BS28HW, UK.
Roger AtkinsUniversity Hospitals Bristol, Upper Maudlin Street, Bristol, BS28HW, UK.
Sanja DogramadziBristol Robotics Laboratory, University of the West of England, Coldharbour Lane, Bristol, BS161QY, UK.
University of the West of England · GBAston University · GB

Funding

Department of Health II-SB-0712-20002
6 · The paper itself

Abstract

Complex joint fractures often require an open surgical procedure, which is associated with extensive soft tissue damages and longer hospitalization and rehabilitation time. Percutaneous techniques can potentially mitigate these risks but their application to joint fractures is limited by the current sub-optimal 2D intra-operative imaging (fluoroscopy) and by the high forces involved in the fragment manipulation (due to the presence of soft tissue, e.g., muscles) which might result in fracture malreduction. Integration of robotic assistance and 3D image guidance can potentially overcome these issues. The authors propose an image-guided surgical robotic system for the percutaneous treatment of knee joint fractures, i.e., the robot-assisted fracture surgery (RAFS) system. It allows simultaneous manipulation of two bone fragments, safer robot-bone fixation system, and a traction performing robotic manipulator. This system has led to a novel clinical workflow and has been tested both in laboratory and in clinically relevant cadaveric trials. The RAFS system was tested on 9 cadaver specimens and was able to reduce 7 out of 9 distal femur fractures (T- and Y-shape 33-C1) with acceptable accuracy (≈1 mm, ≈5°), demonstrating its applicability to fix knee joint fractures. This study paved the way to develop novel technologies for percutaneous treatment of complex fractures including hip, ankle, and shoulder, thus representing a step toward minimally-invasive fracture surgeries.

Indexed as

Minimally Invasive Surgical ProceduresOrthopedic ProceduresRobotic Surgical ProceduresAgedAged, 80 and overFemaleFemoral FracturesHumansMaleCadaveric experimental studyComputer-assisted surgeryMedical roboticsNavigationPercutaneous fracture surgeryVirtual planning

Identifiers

PMID28815387
PMCPMC5663813
OpenAlexW2747369452

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.