Statistical shape modeling of the talocrural joint using a hybrid multi-articulation joint approach
Abstract Historically, conventional radiographs have been the primary tool to morphometrically evaluate the talocrural joint, which is comprised of the distal tibia, distal fibula, and proximal talus. More recently, high-resolution volumetric imaging, including computed tomography (CT), has enabled...
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2021
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oai:doaj.org-article:c476e4ebe28d48bcafe86fc10069a7bd2021-12-02T14:23:05ZStatistical shape modeling of the talocrural joint using a hybrid multi-articulation joint approach10.1038/s41598-021-86567-72045-2322https://doaj.org/article/c476e4ebe28d48bcafe86fc10069a7bd2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86567-7https://doaj.org/toc/2045-2322Abstract Historically, conventional radiographs have been the primary tool to morphometrically evaluate the talocrural joint, which is comprised of the distal tibia, distal fibula, and proximal talus. More recently, high-resolution volumetric imaging, including computed tomography (CT), has enabled the generation of three-dimensional (3D) reconstructions of the talocrural joint. Weightbearing cone-beam CT (WBCT) technology provides additional benefit to assess 3D spatial relationships and joint congruency while the patient is load bearing. In this study we applied statistical shape modeling, a computational morphometrics technique, to objectively quantify anatomical variation, joint level coverage, joint space distance, and congruency at the talocrural joint. Shape models were developed from segmented WBCT images and included the distal tibia, distal fibula, and full talus. Key anatomical variation across subjects included the fibular notch on the tibia, talar trochlea sagittal plane rate of curvature, tibial plafond curvature with medial malleolus prominence, and changes in the fibular shaft diameter. The shape analysis also revealed a highly congruent talocrural joint with minimal inter-individual morphometric differences at the articular regions. These data are helpful to improve understanding of ankle joint pathologies and to guide refinement of operative treatments.Amy L. LenzNicola KrähenbühlAndrew C. PetersonRich J. LisonbeeBeat HintermannCharles L. SaltzmanAlexej BargAndrew E. AndersonNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021) |
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Medicine R Science Q Amy L. Lenz Nicola Krähenbühl Andrew C. Peterson Rich J. Lisonbee Beat Hintermann Charles L. Saltzman Alexej Barg Andrew E. Anderson Statistical shape modeling of the talocrural joint using a hybrid multi-articulation joint approach |
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Abstract Historically, conventional radiographs have been the primary tool to morphometrically evaluate the talocrural joint, which is comprised of the distal tibia, distal fibula, and proximal talus. More recently, high-resolution volumetric imaging, including computed tomography (CT), has enabled the generation of three-dimensional (3D) reconstructions of the talocrural joint. Weightbearing cone-beam CT (WBCT) technology provides additional benefit to assess 3D spatial relationships and joint congruency while the patient is load bearing. In this study we applied statistical shape modeling, a computational morphometrics technique, to objectively quantify anatomical variation, joint level coverage, joint space distance, and congruency at the talocrural joint. Shape models were developed from segmented WBCT images and included the distal tibia, distal fibula, and full talus. Key anatomical variation across subjects included the fibular notch on the tibia, talar trochlea sagittal plane rate of curvature, tibial plafond curvature with medial malleolus prominence, and changes in the fibular shaft diameter. The shape analysis also revealed a highly congruent talocrural joint with minimal inter-individual morphometric differences at the articular regions. These data are helpful to improve understanding of ankle joint pathologies and to guide refinement of operative treatments. |
format |
article |
author |
Amy L. Lenz Nicola Krähenbühl Andrew C. Peterson Rich J. Lisonbee Beat Hintermann Charles L. Saltzman Alexej Barg Andrew E. Anderson |
author_facet |
Amy L. Lenz Nicola Krähenbühl Andrew C. Peterson Rich J. Lisonbee Beat Hintermann Charles L. Saltzman Alexej Barg Andrew E. Anderson |
author_sort |
Amy L. Lenz |
title |
Statistical shape modeling of the talocrural joint using a hybrid multi-articulation joint approach |
title_short |
Statistical shape modeling of the talocrural joint using a hybrid multi-articulation joint approach |
title_full |
Statistical shape modeling of the talocrural joint using a hybrid multi-articulation joint approach |
title_fullStr |
Statistical shape modeling of the talocrural joint using a hybrid multi-articulation joint approach |
title_full_unstemmed |
Statistical shape modeling of the talocrural joint using a hybrid multi-articulation joint approach |
title_sort |
statistical shape modeling of the talocrural joint using a hybrid multi-articulation joint approach |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/c476e4ebe28d48bcafe86fc10069a7bd |
work_keys_str_mv |
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