3D-printed anatomic models of the knee for evaluation of patellofemoral dysplasia in comparison to standard radiographs and computed tomography.


Journal

European journal of radiology
ISSN: 1872-7727
Titre abrégé: Eur J Radiol
Pays: Ireland
ID NLM: 8106411

Informations de publication

Date de publication:
Jun 2020
Historique:
received: 24 12 2019
revised: 21 02 2020
accepted: 08 04 2020
pubmed: 29 4 2020
medline: 8 1 2021
entrez: 29 4 2020
Statut: ppublish

Résumé

To evaluate 3D-printed anatomic models of the distal femur and patella for diagnosis and classification of patellofemoral dysplasia in comparison to conventional radiographs (CR) and CT. Following local ethics committee approval, CT-datasets of 50 patients were segmented and 3D-anatomic models of the distal femur and patella were printed. An expert panel reviewed CR, CT, 3D-models and patient history and classified the femoral trochleas into normal or Dejour type A-D and the patellas into Wiberg type A-C, which served as the standard of reference. The same classifications were performed by two readers independently, first based on 3D-models and after 3 weeks based on CR and CT. Descriptive statistics, ROC-analysis and inter-reader reliability were performed. Trochlear dysplasia was present in 28/50 patients. Evaluations of 3D-models vs. CR/CT for trochlear dysplasia showed a sensitivity/specificity of 89.3 %/100 % vs. 96.4 %/68.2 % for reader 1 and 96.4 %/100 % vs. 96.4 %/90.9 % for reader 2, and an area under the curve of 0.946 vs. 0.823 for reader 1 (p = 0.029) and 0.982 vs. 0.937 for reader 2 (p = 0.147). Evaluations of 3D-models vs. CR/CT for the Dejour classification showed a sensitivity/specificity of 32.1 %/100 % vs. 57.1 %/68.2 % for reader 1 and 46.4 %/100 % vs. 50 %/90.9 % for reader 2 without significant differences. No significant differences existed for Wiberg-classification (50-66 % exact matches) or inter-reader reliabilities between 3D-models and CR/CT for all assessments (Kappa 0.428-0.92). In comparison to radiographs and CT, 3D-models achieve similar diagnostic accuracy for detection of patellofemoral dysplasia and have the potential to improve diagnosis for less experienced physicians.

Identifiants

pubmed: 32344295
pii: S0720-048X(20)30200-X
doi: 10.1016/j.ejrad.2020.109011
pii:
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109011

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Benjamin Fritz (B)

Radiology, Balgrist University Hospital, Forchstrasse 340, 8008, Zurich, Switzerland; Faculty of Medicine, University of Zurich, Zurich, Switzerland. Electronic address: benjamin.fritz@balgrist.ch.

Sandro F Fucentese (SF)

Department of Orthopedic Surgery, Balgrist University Hospital, Forchstrasse 340, 8008, Zurich, Switzerland; Faculty of Medicine, University of Zurich, Zurich, Switzerland.

Stefan M Zimmermann (SM)

Department of Orthopedic Surgery, Balgrist University Hospital, Forchstrasse 340, 8008, Zurich, Switzerland; Faculty of Medicine, University of Zurich, Zurich, Switzerland.

Philippe M Tscholl (PM)

Division of Orthopedics and Trauma Surgery, Geneva University Hospital, Rue Gabrielle-Perret-Gentil 4, University of Geneva, 1205, Geneva, Switzerland.

Reto Sutter (R)

Radiology, Balgrist University Hospital, Forchstrasse 340, 8008, Zurich, Switzerland; Faculty of Medicine, University of Zurich, Zurich, Switzerland.

Christian W A Pfirrmann (CWA)

Radiology, Balgrist University Hospital, Forchstrasse 340, 8008, Zurich, Switzerland; Faculty of Medicine, University of Zurich, Zurich, Switzerland.

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