Automatic virtual reconstruction of acetabular fractures using a statistical shape model.

Purpose: Automatic virtual reconstruction of complex fractures would be helpful for pre-operative surgical planning. We developed a statistical shape model (SSM) which contains data of 200 intact 3D hemipelves. It allows for quantification of shape differences and is able to reconstruct abnormal sha...

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Publicado en:European Journal of Trauma & Emergency Surgery Vol. 50; no. 6; pp. 2925 - 2937
Autores principales: van Veldhuizen, WA, van Noortwijk, R, Meesters, AML, Duis, K ten, Schuurmann, RCL, de Vries, JPPM, Wolterink, JM, IJpma, FFA
Formato: diagnostic images research tables/charts Journal Article
Publicado: Springer Nature Dec2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2024
      vid: 50
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00068-024-02615-7
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        atl: Automatic virtual reconstruction of acetabular fractures using a statistical shape model.
      aug:
        au:
          van Veldhuizen, WA
          van Noortwijk, R
          Meesters, AML
          Duis, K ten
          Schuurmann, RCL
          de Vries, JPPM
          Wolterink, JM
          IJpma, FFA
        affil: https://ror.org/03cv38k47 Department of Surgery, University Medical Centre Groningen, Groningen, The Netherlands
      sug:
        subj:
          Acetabulum Injuries
          Acetabulum Surgery
          Acetabulum Radiography
          Hip Fractures Surgery
          Hip Fractures Radiography
          Fracture Fixation Methods
          Surgery, Reconstructive
          Models, Statistical
          Imaging, Three-Dimensional
          Tomography, X-Ray Computed
          Human
          Male
          Female
          Adult
          Middle Age
          Netherlands
          Retrospective Design
          Record Review
          Comparative Studies
          Descriptive Statistics
          Mann-Whitney U Test
          Case Studies
          Preoperative Care
          Acetabulum Anatomy and Histology
          Pelvis Anatomy and Histology
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Male
          Female
      ab: Purpose: Automatic virtual reconstruction of complex fractures would be helpful for pre-operative surgical planning. We developed a statistical shape model (SSM) which contains data of 200 intact 3D hemipelves. It allows for quantification of shape differences and is able to reconstruct abnormal shaped pelvises. We applied our SSM to reconstruct elementary and associate type acetabular fractures and assessed the reconstruction performance of the SSM, by comparing the reconstructed shape with the intact contralateral hemipelvis. Methods: In this retrospective diagnostic imaging study, we used our SSM to virtually reconstruct fractured hemipelves of eighty-three patients with an acetabular fracture. A root mean square error (RMSE) was computed between the reconstructed shape and intact contralateral shape for the whole hemipelvis and for regions relevant for plate-fitting. These plate-fitting relevant regions were defined as: (1) Iliopectineal line length and radius; (2) ischial body line length and radius; (3) acetabular diameter, (4) quadrilateral slope and (5) weight-bearing acetabular dome. Results: The median RMSE of the whole hemipelvis of the elementary type fractures was 2.2 (1.7–2.5) mm versus 3.2 (2.2–3.9) mm for the associate type fractures (p < 0.001). The median RMSE for the plate-fitting regions of elementary type fractures was 1.7 (1.4–2.1) mm versus 2.7 (2.0–4.1) mm for associate type fractures (p < 0.001). Conclusion: Using a statistical shape model allows for accurate virtual reconstructions of elementary and associate type acetabular fractures within a clinically acceptable range, especially within regions important for plate-fitting. SSM-based reconstructions can serve as a valuable tool for pre-operative planning in clinical practice, when a template of the contralateral hemipelvis is unavailable.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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