Radiograph-based femur morphing method

Zanetti, Elisabetta M.; Crupi, Vincenzo; Bignardi, Cristina; Calderale, P. M.

doi:10.1007/bf02345952

Cited by 23 publications

(15 citation statements)

References 20 publications

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“…The multibody model was realised through Adams (MSC Software Corporation); simulated rigid bodies were: the femur, half a pelvis, the prosthetic stem and the acetabular cup. Synthetic bones were considered at this stage, but personalised models built from a CT7 scan 16 or from x-rays 17 could be used. The geometries of the implanted femur and of the pelvis were here obtained through reverse engineering: a CT scan was performed for both; the scans were segmented through apposite software and the contour lines (obtained both for cortical and trabecular bones) were exported to 3D CAD software (Rhinoceros, Robert McNeel & Associates).…”

Section: Methodsmentioning

confidence: 99%

A multibody model for the optimization of hip arthroplasty in relation to range of movement

Zanetti¹,

Bignardi²,

Terzini³

et al. 2018

AMJ

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BackgroundThe dislocation of the prosthesized hip is a relevant postoperative complication; this adverse outcome is dependent on the specific patient anatomy and on the artificial joint design. The geometry of the reconstructed hip is one of the key factors and it is usually designed at the time of the preoperative planning when the stem model and size, the head diameter and its offset, and the acetabular cup orientation are selected. AimsIn this work, the authors have developed a numerical model to support the pre-operative planning, allowing assessing the hip range of motion, once the geometry of the implant has been defined. MethodsA multi-body model of a prosthesized hip has been developed, and a dislocating movement has been applied; the software is able to assess the entity of displacements and of applied forces which can produce hip dislocation. ResultsAs a proof of concept, multiple combinations of geometric factors have been examined that are the head diameter, the acetabular cup anteversion and its inclination, reaching a total number of 675 configurations. This software is able to analyse and compare all configurations in few minutes. ConclusionThe developed numerical model can be a support to quickly compare a great number of solutions from the point of view of hip stability, reaching a comprehensive view of all possibilities, and giving a contribute to the final aim that is surgery optimization, in relation to each specific patient. What this study adds: What is known about this subject?Hip dislocation is a relevant complication in hip arthroplasty; this adverse outcome is dependent on the specific patient anatomy and on the artificial joint design. What new information is offered in this study?This study introduced a methodology, based on multibody model, which allows optimising the choice of prosthetic components and their positioning in relation to dislocation risk. What are the implications for research, policy, or practice?The pre-operative planning of hip arthroplasty can take benefit from numerical methods able to foresee the final hip range of motion.

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Section: Methodsmentioning

confidence: 99%

A multibody model for the optimization of hip arthroplasty in relation to range of movement

Zanetti¹,

Bignardi²,

Terzini³

et al. 2018

AMJ

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“…material, shape and component dimensions). The today’s longer life expectancies requires improving the durability and the reliability of joint implants, especially for younger patients with greater physical activity (Zanetti et al, 2005). Computer-aided orthopaedic surgery requires a geometrical model of the patient’s bone that can reproduce at least its basic morphological aspects and dimensions.…”

Section: Introductionmentioning

confidence: 99%

Using two palpable measurements improves the subject-specific femoral modeling

Luo

Stanhope

Sheehan

2009

Journal of Biomechanics

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Subject-specific musculoskeletal models are essential to biomedical research and clinical applications, such as customized joint replacement, computer-aided surgical planning, gait analysis and automated segmentation. Generating these models from CT or MRI is time and resource intensive, requiring special skills. Therefore, in many studies individual bone models are approximated by scaling a generic template. Thus, the primary goal of this study was to determine a set of clinically available parameters (palpable measures and demographic data) that could improve the prediction of femoral dimensions, as compared to predicting these variables using uniform scaling based on palpable length. Similar to previous non-homogenous anthropometric scaling methods, the non-homogenous scaling method proposed in this study improved the prediction over uniform scaling of five key femoral measures. Homogenous scaling forces all dimensions of an object to be scaled equally, whereas non-homogenous scaling allows the dimensions to be scaled independently. The largest improvement was in femoral depth, where the coefficient of determination (r2) improved from 0.22 (homogenous) to 0.60 (non-homogeneous). In general, the major advantage of this non-homogenous scaling method is its ability to support the accurate and rapid generation of subject specific femoral models since all parameters can be collected clinically, without imaging or invasive methods.

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“…Femoral diameter (cortical boundary) estimation errors are typically between 0.4 and 1.0 mm. 47 These extracted erroneous contours cause inaccuracy when used for shape customization.…”

Section: Discussionmentioning

confidence: 99%