Evidence map›Paper›PMID 31392672›Full record

ArticleInternational journal of computer assisted radiology and surgery2019

Computer-assisted intra-operative verification of surgical outcome for the treatment of syndesmotic injuries through contralateral side comparison.

Sarina Thomas, Fabian Isensee, Simon Kohl, Maxim Privalov, Nils Beisemann, Benedict Swartman, Holger Keil, Sven Y Vetter, Jochen Franke, Paul A Grützner and 3 more

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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

1 citing paper in PubMed.

  1. Computer-assisted contralateral side comparison of the ankle joint using flat panel technology.International journal of computer assisted radiology and surgery · 2021
    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

13 authors.

Sarina ThomasDivision of Medical Image Computing (E230), German Cancer Research Center, Heidelberg, Germany. s.thomas@dkfz-heidelberg.de.ORCID http://orcid.org/0000-0002-1202-0856
Fabian IsenseeDivision of Medical Image Computing (E230), German Cancer Research Center, Heidelberg, Germany.
Simon KohlDivision of Medical Image Computing (E230), German Cancer Research Center, Heidelberg, Germany.
Maxim PrivalovMINTOS Research group, BG Trauma Center, Ludwigshafen, Germany.
Nils BeisemannMINTOS Research group, BG Trauma Center, Ludwigshafen, Germany.
Benedict SwartmanMINTOS Research group, BG Trauma Center, Ludwigshafen, Germany.
Holger KeilMINTOS Research group, BG Trauma Center, Ludwigshafen, Germany.
Sven Y VetterMINTOS Research group, BG Trauma Center, Ludwigshafen, Germany.
Jochen FrankeMINTOS Research group, BG Trauma Center, Ludwigshafen, Germany.
Paul A GrütznerMINTOS Research group, BG Trauma Center, Ludwigshafen, Germany.
Lena Maier-HeinDivision of Computer-Assisted Medical Interventions (E130), German Cancer Research Center, Heidelberg, Germany.
Marco NoldenDivision of Medical Image Computing (E230), German Cancer Research Center, Heidelberg, Germany.
Klaus Maier-HeinDivision of Medical Image Computing (E230), German Cancer Research Center, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFracture reduction and fixation of syndesmotic injuries is a common procedure in trauma surgery. An intra-operative evaluation of the surgical outcome is challenging due to high inter-individual anatomical variation. A comparison to the contralateral uninjured ankle would be highly beneficial but would also incur additional radiation and time consumption. In this work, we pioneer automatic contralateral side comparison while avoiding an additional 3D scan.

methodsWe reconstruct an accurate 3D surface of the uninjured ankle joint from three low-dose 2D fluoroscopic projections. Through CNN complemented 3D shape model segmentation, we create a reference model of the injured ankle while addressing the issues of metal artifacts and initialization. Following 2D-3D multiple bone reconstruction, a final reference contour can be created and matched to the uninjured ankle for contralateral side comparison without any user interaction.

resultsThe accuracy and robustness of individual workflow steps were assessed using 81 C-arm datasets, with 2D and 3D images available for injured and uninjured ankles. Furthermore, the entire workflow was tested on eleven clinical cases. These experiments showed an overall average Hausdorff distance of [Formula: see text] mm measured at clinical evaluation level.

conclusionReference contours of the contralateral side reconstructed from three projection images can assist surgeons in optimizing reduction results, reducing the duration of radiation exposure and potentially improving postoperative outcomes in the long term.

Indexed as

Ankle InjuriesAnkle JointFracture Fixation, InternalHumansImaging, Three-DimensionalModels, AnatomicMonitoring, IntraoperativeTomography, X-Ray ComputedTreatment Outcome2D–3D reconstructionAnkle surgeryContralateral side comparisonDeep learning

Identifiers

PMID31392672

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Registered trials

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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.