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Related Experiment Video

Updated: Oct 22, 2025

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects
08:15

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects

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Patient-Specific Implants for Pelvic Tumor Resections.

Kevin Döring1, Kevin Staats1, Stephan Puchner1

  • 1Division of Orthopaedics, Department of Orthopaedics and Trauma Surgery, Medical University of Vienna, 1090 Vienna, Austria.

Journal of Personalized Medicine
|August 27, 2021
PubMed
Summary

Custom implants for periacetabular cancer surgery offer good function despite high complication risks. Careful patient selection is crucial for successful limb salvage surgery outcomes.

Keywords:
3D printed prosthesesarthroplastybone tumorcomplicationscomputer aided design pelvic reconstructionpelvic tumorspelvis

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Area of Science:

  • Orthopaedic Oncology
  • Surgical Reconstruction
  • Tumor Surgery

Background:

  • Limb salvage surgery for periacetabular malignancies is complex.
  • Reconstruction with custom implants is the preferred method.
  • Outcomes of this approach require further analysis.

Purpose of the Study:

  • To evaluate treatment outcomes of custom-made implants for periacetabular malignancies.
  • To analyze complications, survival rates, and functional results.
  • To inform surgical decision-making and patient selection.

Main Methods:

  • Retrospective analysis of 20 patients with periacetabular malignancy.
  • Median follow-up of 5 years (range: 1-17 years).
  • Assessment of revision surgeries, complications, survival, and functional scores.

Main Results:

  • Median 1.5 revision surgeries per patient.
  • High complication rates: infections (9), aseptic loosening (4), dislocations (3), thromboembolism (5), nerve lesions (4).
  • Five-year survival rate of 46%; median Harris Hip Score of 81.

Conclusions:

  • Internal hemipelvectomy with custom implants has significant complication risks.
  • Despite risks, good functional outcomes are achievable.
  • Critical patient selection and shared decision-making are essential.