Computational method for bearing surface wear prediction in total hip replacements

Metal-on-metal (MoM) hip resurfacings (HRs) and large head total hip replacements (LHTHRs) were perceived by many as a surgical revolution, with clear advantages over the traditional metal-on-polyethylene total hip replacement (THR). This is especially the case for younger, active individuals in whom conventional THR has been associated with higher rates of aseptic loosening. In addition to less bearing surface wear, frequently cited advantages for HR include the preservation of femoral bone stock, lower dislocation rates, and superior function and activity scores.

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A computational approach to fretting wear prediction at the head–stem taper junction of total hip replacements

Wear ◽

10.1016/j.wear.2015.06.016 ◽

2015 ◽

Vol 338-339 ◽

pp. 210-220 ◽

Cited By ~ 20

Author(s):

Russell English ◽

Ariyan Ashkanfar ◽

Glynn Rothwell

Keyword(s):

Computational Approach ◽

Fretting Wear ◽

Wear Prediction ◽

Total Hip ◽

Stem Taper ◽

Total Hip Replacements ◽

Hip Replacements

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Efficient computational method for assessing the effects of implant positioning in cementless total hip replacements

Journal of Biomechanics ◽

10.1016/j.jbiomech.2010.12.027 ◽

2011 ◽

Vol 44 (7) ◽

pp. 1417-1422 ◽

Cited By ~ 34

Author(s):

Mamadou T. Bah ◽

Prasanth B. Nair ◽

Mark Taylor ◽

Martin Browne

Keyword(s):

Computational Method ◽

Total Hip ◽

Implant Positioning ◽

Total Hip Replacements ◽

Hip Replacements

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An MRI-Based Patient-Specific Computational Framework for the Calculation of Range of Motion of Total Hip Replacements

Applied Sciences ◽

10.3390/app11062852 ◽

2021 ◽

Vol 11 (6) ◽

pp. 2852

Author(s):

Maeruan Kebbach ◽

Christian Schulze ◽

Christian Meyenburg ◽

Daniel Kluess ◽

Mevluet Sungu ◽

...

Keyword(s):

Range Of Motion ◽

Internal Rotation ◽

Computer Aided Design ◽

External Rotation ◽

Patient Specific ◽

Computational Framework ◽

Total Hip ◽

Total Hip Replacements ◽

Significant Difference ◽

Hip Replacements

The calculation of range of motion (ROM) is a key factor during preoperative planning of total hip replacements (THR), to reduce the risk of impingement and dislocation of the artificial hip joint. To support the preoperative assessment of THR, a magnetic resonance imaging (MRI)-based computational framework was generated; this enabled the estimation of patient-specific ROM and type of impingement (bone-to-bone, implant-to-bone, and implant-to-implant) postoperatively, using a three-dimensional computer-aided design (CAD) to visualize typical clinical joint movements. Hence, patient-specific CAD models from 19 patients were generated from MRI scans and a conventional total hip system (Bicontact® hip stem and Plasmacup® SC acetabular cup with a ceramic-on-ceramic bearing) was implanted virtually. As a verification of the framework, the ROM was compared between preoperatively planned and the postoperatively reconstructed situations; this was derived based on postoperative radiographs (n = 6 patients) during different clinically relevant movements. The data analysis revealed there was no significant difference between preoperatively planned and postoperatively reconstructed ROM (∆ROM) of maximum flexion (∆ROM = 0°, p = 0.854) and internal rotation (∆ROM = 1.8°, p = 0.917). Contrarily, minor differences were observed for the ROM during maximum external rotation (∆ROM = 9°, p = 0.046). Impingement, of all three types, was in good agreement with the preoperatively planned and postoperatively reconstructed scenarios during all movements. The calculated ROM reached physiological levels during flexion and internal rotation movement; however, it exceeded physiological levels during external rotation. Patients, where implant-to-implant impingement was detected, reached higher ROMs than patients with bone-to-bone impingement. The proposed framework provides the capability to predict postoperative ROM of THRs.

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