Evidence map›Paper›PMID 26259554›Full record

ArticleInternational journal of computer assisted radiology and surgery2016

A fluoroscopy-based planning and guidance software tool for minimally invasive hip refixation by cement injection.

Daniel F Malan, Stéfan J van der Walt, Renata G Raidou, Bas van den Berg, Berend C Stoel, Charl P Botha, Rob G H H Nelissen, Edward R Valstar

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Article
  3. Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration.International journal of computer assisted radiology and surgery · 2020
    Article
  4. Article
  5. Analyzing microtomography data with Python and the scikit-image library.Advanced structural and chemical imaging · 2017
    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

8 authors at 3 institutions in 2 countries.

Daniel F MalanDepartment of Orthopaedics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands. fmalan@medvis.org.
Stéfan J van der WaltDivision of Applied Mathematics, University of Stellenbosch, Stellenbosch, 7602, South Africa.
Renata G RaidouDepartment of Intelligent Systems, Delft University of Technology, P.O. Box 5031, 2600 GA, Delft, The Netherlands.
Bas van den BergDepartment of Intelligent Systems, Delft University of Technology, P.O. Box 5031, 2600 GA, Delft, The Netherlands.
Berend C StoelDepartment of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
Charl P BothaDepartment of Intelligent Systems, Delft University of Technology, P.O. Box 5031, 2600 GA, Delft, The Netherlands.
Rob G H H NelissenDepartment of Orthopaedics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
Edward R ValstarDepartment of Orthopaedics, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
Leiden University Medical Center · NLDelft University of Technology · NLStellenbosch University · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn orthopaedics, minimally invasive injection of bone cement is an established technique. We present HipRFX, a software tool for planning and guiding a cement injection procedure for stabilizing a loosening hip prosthesis. HipRFX works by analysing a pre-operative CT and intraoperative C-arm fluoroscopic images.

methodsHipRFX simulates the intraoperative fluoroscopic views that a surgeon would see on a display panel. Structures are rendered by modelling their X-ray attenuation. These are then compared to actual fluoroscopic images which allow cement volumes to be estimated. Five human cadaver legs were used to validate the software in conjunction with real percutaneous cement injection into artificially created periprothetic lesions.

resultsBased on intraoperatively obtained fluoroscopic images, our software was able to estimate the cement volume that reached the pre-operatively planned targets. The actual median target lesion volume was 3.58 ml (range 3.17-4.64 ml). The median error in computed cement filling, as a percentage of target volume, was 5.3% (range 2.2-14.8%). Cement filling was between 17.6 and 55.4% (median 51.8%).

conclusionsAs a proof of concept, HipRFX was capable of simulating intraoperative fluoroscopic C-arm images. Furthermore, it provided estimates of the fraction of injected cement deposited at its intended target location, as opposed to cement that leaked away. This level of knowledge is usually unavailable to the surgeon viewing a fluoroscopic image and may aid in evaluating the success of a percutaneous cement injection intervention.

Indexed as

Imaging, Three-DimensionalSoftwareAlgorithmsArthroplasty, Replacement, HipBone CementsCadaverComputer SimulationFluoroscopyHumansMinimally Invasive Surgical ProceduresPlanning TechniquesProsthesis-Related InfectionsReoperationBone CementsDigitally reconstructed radiographFluoroscopyHip arthroplastyPercutaneousPre-operative planningSimulationX-ray

Identifiers

PMID26259554
PMCPMC4748013
OpenAlexW2162581504

What OpenQuestion holds

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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.