Foot and ankle ligament morphometry

Mkandawire, Chimba; Ledoux, William R.; Sangeorzan, Bruce J.; Ching, Randal P.

doi:10.1682/jrrd.2004.08.0094

Cited by 36 publications

(30 citation statements)

References 16 publications

(43 reference statements)

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“…When comparing the values obtained with different measurement techniques, this paper has obtained significant differences in all parameters of the proximal femoral epiphysis (Table I). Similar to our study, Mkandawire et al (2005) have studied through the caliper and Scion Image Beta 4.0.2 Win® software, the crosssection and length of the ligaments of the foot and ankle. The ligaments were subjected to a technique named freeze fracture to be photographed and subsequently measured in the software.…”

Section: Discussionmentioning

confidence: 75%

Proximal Femoral Epiphysis: Manual Morphometry versus Digital Morphometry

et al. 2015

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SUMMARY:It is important and necessary to know the morphometric characteristics of the proximal femur in order to reduce the risk of complications associated with surgical procedures performed in the area due to vascular, metabolic or trauma causes, and to achieve an alignment of prosthesis to be implanted. The morphometric analysis has proved possible to be used, and can be a valid help to obtain certain parameters that may contribute to scientific research in several areas. For this, a good understanding of evaluation techniques and principles that can be applied to obtain reliable and valid results is needed. To measure the proximal femoral epiphysis by manual morphometry, with the aid of the caliper, and digital morphometry, with the aid of software and compare them. Twenty nine femurs were used to measure the following parameters: diameter of the femoral head in the cranio caudal axis (DFH-CC) and sagittal axis (DFH-S), diameter of the femoral neck cranio caudal axis (DFN-CC) and sagittal axis (DFN-S), length of the femoral neck (LFN) and length of the intertrochanteric line (LIL). After the measurements, the mean values were compared between the two morphometric techniques. The manual morphometry obtained the following average values: DFH-CC 4.42±0.44, DFH-S 4.38±0.47; DFN-CC 3.10±0.35; DFN-S 2.50±0.37; LFN 2.55±0.42; LIL 4.79±0.62. While the values obtained by digital morphometry were: DFH-CC 3.09±0.41, DFH-S 3.35±0.40; DFN-CC 1.79±0.26; DFN-S 2.26±0.23; LFN 1.42±0.33; LIL 3.33±0.54. All parameters measured from the manual technique showed values significantly higher (p<0.05) than values obtained by digital morphometry. This study showed that there is no morphometry gold standard. Different morphometric methods can effectively reproduce, the values of morphometric anatomical structures, depending on the purpose of the study, the anatomical structures and experience of the researcher.

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Section: Discussionmentioning

confidence: 75%

Proximal Femoral Epiphysis: Manual Morphometry versus Digital Morphometry

et al. 2015

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“…The bones and the soft tissue mass were meshed with total 83 267 10-noded tetrahedral elements. Each ligament (total 53 ligaments) was represented by one or multiple tension-only link elements (total 84 links) based on the shape and size of each ligament [9] . Meanwhile, LPL, SPL and SL were simulated using 5, 4 and 3 tension-only links, respectively.…”

Section: Methodsmentioning

confidence: 99%

Mechanical behaviors of the foot after individual releases of plantar fascia and ligaments during the balanced standing

Tao

Wang

et al. 2010

J. Shanghai Jiaotong Univ. (Sci.)

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To quantify mechanical effects of plantar fascia and ligaments on the arch structure, a 3D finite element model of the foot was created to simulate the balanced standing posture. Four cases after individual releases of plantar fascia, spring ligament, long and short plantar ligaments were simulated respectively to compare their consequences to the predictions of the intact structure. It was founded that the foot arch didn't collapse obviously after any individual release of these structures. As plantar fascia was released, tensions of plantar ligaments were largely increased. Long and short plantar ligaments performed mutual compensation functions.

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“…Data based on the published literature [14,16,[30][31][32] and passive torque collected from participants were used for model validation. The lengths of ankle ligaments depend on not only the bone geometry, but also their origin and insertion points on bones.…”

Section: Model Validationmentioning

confidence: 99%

A robot-driven computational model for estimating passive ankle torque with subject-specific adaptation

Zhang

Meng

Davies

et al. 2015

IEEE Trans. Biomed. Eng.

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Article:Zhang, M, Meng, W, Davies, TC et al. (2 more authors) (2016) A robot-driven computational model for estimating passive ankle torque with subject-specific adaptation. IEEE Transactions on Biomedical Engineering, 63 (4). pp. [814][815][816][817][818][819][820][821] https://doi.org/10.1109/TBME.2015.2475161 © 2015 IEEE. This is an author produced version of a paper published in IEEE Transactions on Biomedical Engineering. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy.eprints@whiterose.ac.uk https://eprints.whiterose.ac.uk/ Reuse Unless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website. TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. TBME-00615-2015.R1 1  Abstract-Background: Robot-assisted ankle assessment could potentially be conducted using sensor-based and model-based methods. Existing ankle rehabilitation robots usually use t o r q u e m e t e r s a n d m u l t i -a x i s l o a d c e l l s f o r m e a s u r i n g j o i n t dynamics. These measurements are accurate, but the contribution as a result of muscles and ligaments is not taken into account. Some computational ankle models have been developed to evaluate ligament strain and joint torque. These models do not include muscles, and thus are not suitable for an overall ankle assessment in robot-assisted therapy. Methods: This study proposed a computational ankle model for use in robot-assisted therapy with three rotational degrees of freedom (DOFs), 12 muscles and seven ligaments. This model is driven by robotics, uses three independent position variables as inputs, and outputs an overall ankle assessment. Subject-specific adaptations by geometric and strength scaling were also made to allow for a universal model. Results: This model was evaluated using published results and experimental data from 11 participants. Results show a high accuracy in the evaluation of ligament neutral length and passive joint torque. The subject-specific adaptation performance is hi...

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Foot and ankle ligament morphometry

Cited by 36 publications

References 16 publications

Proximal Femoral Epiphysis: Manual Morphometry versus Digital Morphometry

Proximal Femoral Epiphysis: Manual Morphometry versus Digital Morphometry

Mechanical behaviors of the foot after individual releases of plantar fascia and ligaments during the balanced standing

A robot-driven computational model for estimating passive ankle torque with subject-specific adaptation

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