Evidence map›Paper›PMID 35879618›Full record

ArticleEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2024

3D osteotomies-improved accuracy with patient-specific instruments (PSI).

Maximilian Jörgens, Alexander M Keppler, Philipp Ahrens, Wolf Christian Prall, Marcel Bergstraesser, Andreas T Bachmeier, Christian Zeckey, Adrian Cavalcanti Kußmaul, Wolfgang Böcker, Julian Fürmetz

Abstract read
In one paragraph

Article in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Review
  6. A structured framework for standardized 3D leg alignment analysis: An international Delphi consensus study.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Advances of 3D printing technologies in orthopaedic trauma and surgical training: a transformative approach.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Article
  11. Article
  12. Review
  13. Review
  14. 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

10 authors.

Maximilian JörgensDepartment of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital, LMU Munich, Munich, Germany. maximilian.joergens@med.uni-muenchen.de.ORCID http://orcid.org/0000-0002-1877-7673
Alexander M KepplerDepartment of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital, LMU Munich, Munich, Germany.
Philipp AhrensOrthoPlus Munich, Munich, Germany.
Wolf Christian PrallFIFA Medical Centre of Excellence, Division of Knee, Hip, Shoulder and Ellbow Surgery, Schoen Clinic Munich, Munich, Germany.
Marcel BergstraesserOT Medizintechnik GmbH (Medical Engineering in Orthopedics and Traumatology), Munich, Germany.
Andreas T BachmeierDepartment of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital, LMU Munich, Munich, Germany.
Christian ZeckeyDepartment of Trauma Surgery and Orthopaedics, RoMed Klinikum Rosenheim, Rosenheim, Germany.
Adrian Cavalcanti KußmaulDepartment of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital, LMU Munich, Munich, Germany.
Wolfgang BöckerDepartment of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital, LMU Munich, Munich, Germany.
Julian FürmetzDepartment of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital, LMU Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThree-dimensional (3D) printed patient-specific instruments (PSI) have been introduced to increase precision and simplify surgical procedures. Initial results in femoral and tibial osteotomies are promising, but validation studies on 3D planning, manufacturing of patient-specific cutting blocks and 3D evaluation of the attained results are lacking.

methodsIn this study, patient-specific cutting blocks and spacers were designed, fabricated, and used to perform a high tibial osteotomy (HTO). After segmentation of CT data sets from 13 human tibiae, 3D digital planning of the HTO was performed with a medial opening of 8 mm. These 3D models were used to fabricate patient-specific cutting blocks and spacers. After the surgical procedure, accuracy was evaluated measuring 3D joint angles and surface deviations.

resultsThe lowest mean deviation was found to be 0.57° (SD ± 0.27) for the MPTA. Medial and lateral tibial slope deviated from the 3D planning by an average of 0.98° (SD ± 0.53) and 1.26° (SD ± 0.79), respectively, while tibial torsion deviated by an average of 5.74° (SD ± 3.24). Color analysis of surface deviations showed excellent and good agreement in 7 tibiae.

conclusionWith 3D cutting blocks and spacers, the 3D planning of the HTO can be translated into reality with small deviations of the resulting joint angles. Within this study, the results of the individual steps are examined for errors and thus a critical evaluation of this new and promising method for performing patient-specific HTOs is presented.

Indexed as

Osteoarthritis, KneeTibiaFemurHumansKnee JointOsteotomyPostoperative Period3D-planningHTOOpen-wedge tibial osteotomyPatient-specific instrumentsPSISpacer

Identifiers

PMID35879618
PMCPMC10923740

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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.