Literature DB >> 32344295

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

Benjamin Fritz1, Sandro F Fucentese2, Stefan M Zimmermann2, Philippe M Tscholl3, Reto Sutter4, Christian W A Pfirrmann4.   

Abstract

PURPOSE: 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.
METHOD: 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.
RESULTS: 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).
CONCLUSION: 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.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  3D printing; Joint instability; Multidetector computed tomography; Patellofemoral joint; Radiography

Mesh:

Year:  2020        PMID: 32344295     DOI: 10.1016/j.ejrad.2020.109011

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  2 in total

Review 1.  [Research progress in femoral tunnel positioning points of medial patellofemoral ligament reconstruction].

Authors:  Yan Zhang; Yanlin Li; Dejian Liu; Guoliang Wang
Journal:  Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi       Date:  2021-02-15

2.  Diagnostic Value Comparison between Multislice Spiral Computerized Tomography and Magnetic Resonance Imaging under Artificial Intelligence Algorithm in Diagnosing Occult Fractures of the Knee Joint.

Authors:  Zhenghua Shu; Jun Lei; Chaoqi Ding
Journal:  Contrast Media Mol Imaging       Date:  2022-09-27       Impact factor: 3.009

  2 in total

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