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Comparison between different screening strategies to determine the statistical shape model of the pelvises for implant design.
Shih, Kao-Shang; Hsu, Chi-Pin; Liu, Che-Wei; Wang, Lu-Lin; Hou, Sheng-Mou; Lin, Shang-Chih.
Afiliação
  • Shih KS; School of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan; Department of Orthopedic Surgery, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.
  • Hsu CP; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Taipei, 106, Taiwan.
  • Liu CW; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Taipei, 106, Taiwan; Department of Orthopaedics, Cathay General Hospital, Taipei, Taiwan.
  • Wang LL; Department of Orthopaedics, Zhangzhou Affiliated Hospital of Fujian Medical University, China.
  • Hou SM; Department of Orthopedic Surgery, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.
  • Lin SC; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Taipei, 106, Taiwan. Electronic address: xyz@mail.ntust.edu.tw.
Comput Methods Programs Biomed ; 178: 265-273, 2019 Sep.
Article em En | MEDLINE | ID: mdl-31416554
ABSTRACT
BACKGROUND AND

OBJECTIVES:

The statistical shape model (SSM) of numerous bones has been used to determine the anatomical representative of the population- or race-specific design for periarticular implants. Whether to include size- and profile-mismatched bones in the SSM calculation is debatable. Therefore, the objective of this study was to characterize the screening strategies for the mismatched bones to improve the SSM calculation.

METHODS:

The bone database used in this study consisted of 20 pelvises. A systematic four-staged SSM calculation was used to evaluate the accuracy of the predicted SSM shape among the four size- and profile-screening strategies. Additionally, the surface-smoothing effects on the SSM results were investigated. Two comparison indices were used in terms of profile difference and surface smoothness.

RESULTS:

Significant variations in size and profile existed for the collected bones. By normalizing the aspect ratio of all bones, exclusion of the size-mismatched bones reduced the maximum and root mean square (RMS) error values of the profile difference by 18.9% and 17.5%, respectively. After further excluding the profile-improper bones, normalization reduced the RMS profile difference by 24.1% compared with the non-normalized strategy. Exclusion of the size-improper bones for non-normalized strategy would have reduced the RMS profile difference by 15.4%. After smoothness, the RMS profile difference of SSM was only 6.1% higher than that of the non-smoothness SSM.

CONCLUSIONS:

The four-stage calculation showed that the most favorable strategy was to normalize bones to the same aspect ratio and exclude improperly shaped bones. The model permitted inclusion of the original characteristics of the bones and preserved their shapes and excluded only significantly improper bones. After SSM calculation, the smoothed process provided satisfaction in quality with a statistically insignificant loss in bone morphology for population- or race-specific designs of implants.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pelve / Desenho de Prótese / Imageamento Tridimensional Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Adult / Aged / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pelve / Desenho de Prótese / Imageamento Tridimensional Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Adult / Aged / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article