The morphometry of soft tissue insertions on the tibial plateau: data acquisition and statistical shape analysis
This study characterized the soft tissue insertion morphometrics on the tibial plateau and their inter-relationships as well as variabilities. The outlines of the cruciate ligament and meniscal root insertions along with the medial and lateral cartilage on 20 cadaveric tibias (10 left and 10 right k...
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description | This study characterized the soft tissue insertion morphometrics on the tibial plateau and their inter-relationships as well as variabilities. The outlines of the cruciate ligament and meniscal root insertions along with the medial and lateral cartilage on 20 cadaveric tibias (10 left and 10 right knees) were digitized and co-registered with corresponding CT-based 3D bone models. Generalized Procrustes Analysis was employed in conjunction with Principal Components Analysis to first create a geometric consensus based on tibial cartilage and then determine the means and variations of insertion morphometrics including shape, size, location, and inter-relationship measures. Step-wise regression analysis was conducted in search of parsimonious models relating the morphometric measures to the tibial plateau width and depth, and basic anthropometric and gender factors. The analyses resulted in statistical morphometric representations for Procrustes-superimposed cruciate ligament and meniscus insertions, and identified only a few moderate correlations (R2: 0.37-0.49). The study provided evidence challenging the isometric scaling based on a single dimension frequently employed in related morphometric studies, and data for evaluating cruciate ligament reconstruction strategies in terms of re-creating the native anatomy and minimizing the risk of iatrogenic injury. It paved the way for future development of computer-aided personalized orthopaedic surgery applications improving the quality of care and patient safety, and biomechanical models with a better population or average representation. |
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The outlines of the cruciate ligament and meniscal root insertions along with the medial and lateral cartilage on 20 cadaveric tibias (10 left and 10 right knees) were digitized and co-registered with corresponding CT-based 3D bone models. Generalized Procrustes Analysis was employed in conjunction with Principal Components Analysis to first create a geometric consensus based on tibial cartilage and then determine the means and variations of insertion morphometrics including shape, size, location, and inter-relationship measures. Step-wise regression analysis was conducted in search of parsimonious models relating the morphometric measures to the tibial plateau width and depth, and basic anthropometric and gender factors. The analyses resulted in statistical morphometric representations for Procrustes-superimposed cruciate ligament and meniscus insertions, and identified only a few moderate correlations (R2: 0.37-0.49). The study provided evidence challenging the isometric scaling based on a single dimension frequently employed in related morphometric studies, and data for evaluating cruciate ligament reconstruction strategies in terms of re-creating the native anatomy and minimizing the risk of iatrogenic injury. It paved the way for future development of computer-aided personalized orthopaedic surgery applications improving the quality of care and patient safety, and biomechanical models with a better population or average representation.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0096515</identifier><identifier>PMID: 24788908</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aged ; Anterior Cruciate Ligament - anatomy & histology ; Anterior Cruciate Ligament - surgery ; Anthropometry ; Biology and Life Sciences ; Biomechanics ; Cadaver ; Cadavers ; Cartilage ; Cartilage - anatomy & histology ; Cartilage - surgery ; Data acquisition ; Departments ; Digitization ; Female ; Health risks ; Humans ; Imaging, Three-Dimensional ; Insertion ; Isometric ; Knee ; Ligaments ; Male ; Medicine and Health Sciences ; Meniscus ; Middle Aged ; Models, Anatomic ; Morphology ; Morphometry ; Orthopedic Procedures - methods ; Physical Sciences ; Population (statistical) ; Posterior Cruciate Ligament - anatomy & histology ; Posterior Cruciate Ligament - surgery ; Principal components analysis ; Regression analysis ; Representations ; Scaling ; Skin & tissue grafts ; Statistical analysis ; Statistics ; Studies ; Surgeons ; Surgery ; Surgery, Computer-Assisted - methods ; Three dimensional models ; Tibia - anatomy & histology ; Tibia - surgery ; Tomography, X-Ray Computed</subject><ispartof>PloS one, 2014-05, Vol.9 (5), p.e96515-e96515</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Zheng et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Zheng et al 2014 Zheng et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-fd252ddb087d07127b471e1acc1f0b36f9cd3d5c6ca6c0495d5a2f99149e5f323</citedby><cites>FETCH-LOGICAL-c692t-fd252ddb087d07127b471e1acc1f0b36f9cd3d5c6ca6c0495d5a2f99149e5f323</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4008582/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4008582/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2101,2927,23865,27923,27924,53790,53792,79471,79472</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24788908$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Almarza, Alejandro</contributor><creatorcontrib>Zheng, Liying</creatorcontrib><creatorcontrib>Harner, Christopher D</creatorcontrib><creatorcontrib>Zhang, Xudong</creatorcontrib><title>The morphometry of soft tissue insertions on the tibial plateau: data acquisition and statistical shape analysis</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>This study characterized the soft tissue insertion morphometrics on the tibial plateau and their inter-relationships as well as variabilities. The outlines of the cruciate ligament and meniscal root insertions along with the medial and lateral cartilage on 20 cadaveric tibias (10 left and 10 right knees) were digitized and co-registered with corresponding CT-based 3D bone models. Generalized Procrustes Analysis was employed in conjunction with Principal Components Analysis to first create a geometric consensus based on tibial cartilage and then determine the means and variations of insertion morphometrics including shape, size, location, and inter-relationship measures. Step-wise regression analysis was conducted in search of parsimonious models relating the morphometric measures to the tibial plateau width and depth, and basic anthropometric and gender factors. The analyses resulted in statistical morphometric representations for Procrustes-superimposed cruciate ligament and meniscus insertions, and identified only a few moderate correlations (R2: 0.37-0.49). The study provided evidence challenging the isometric scaling based on a single dimension frequently employed in related morphometric studies, and data for evaluating cruciate ligament reconstruction strategies in terms of re-creating the native anatomy and minimizing the risk of iatrogenic injury. It paved the way for future development of computer-aided personalized orthopaedic surgery applications improving the quality of care and patient safety, and biomechanical models with a better population or average representation.</description><subject>Aged</subject><subject>Anterior Cruciate Ligament - anatomy & histology</subject><subject>Anterior Cruciate Ligament - surgery</subject><subject>Anthropometry</subject><subject>Biology and Life Sciences</subject><subject>Biomechanics</subject><subject>Cadaver</subject><subject>Cadavers</subject><subject>Cartilage</subject><subject>Cartilage - anatomy & histology</subject><subject>Cartilage - surgery</subject><subject>Data acquisition</subject><subject>Departments</subject><subject>Digitization</subject><subject>Female</subject><subject>Health risks</subject><subject>Humans</subject><subject>Imaging, Three-Dimensional</subject><subject>Insertion</subject><subject>Isometric</subject><subject>Knee</subject><subject>Ligaments</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Meniscus</subject><subject>Middle Aged</subject><subject>Models, Anatomic</subject><subject>Morphology</subject><subject>Morphometry</subject><subject>Orthopedic Procedures - 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anatomy & histology</topic><topic>Anterior Cruciate Ligament - surgery</topic><topic>Anthropometry</topic><topic>Biology and Life Sciences</topic><topic>Biomechanics</topic><topic>Cadaver</topic><topic>Cadavers</topic><topic>Cartilage</topic><topic>Cartilage - anatomy & histology</topic><topic>Cartilage - surgery</topic><topic>Data acquisition</topic><topic>Departments</topic><topic>Digitization</topic><topic>Female</topic><topic>Health risks</topic><topic>Humans</topic><topic>Imaging, Three-Dimensional</topic><topic>Insertion</topic><topic>Isometric</topic><topic>Knee</topic><topic>Ligaments</topic><topic>Male</topic><topic>Medicine and Health Sciences</topic><topic>Meniscus</topic><topic>Middle Aged</topic><topic>Models, Anatomic</topic><topic>Morphology</topic><topic>Morphometry</topic><topic>Orthopedic Procedures - methods</topic><topic>Physical Sciences</topic><topic>Population (statistical)</topic><topic>Posterior Cruciate Ligament - anatomy & histology</topic><topic>Posterior Cruciate Ligament - surgery</topic><topic>Principal components analysis</topic><topic>Regression analysis</topic><topic>Representations</topic><topic>Scaling</topic><topic>Skin & tissue grafts</topic><topic>Statistical analysis</topic><topic>Statistics</topic><topic>Studies</topic><topic>Surgeons</topic><topic>Surgery</topic><topic>Surgery, Computer-Assisted - methods</topic><topic>Three dimensional models</topic><topic>Tibia - anatomy & histology</topic><topic>Tibia - surgery</topic><topic>Tomography, X-Ray Computed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zheng, Liying</creatorcontrib><creatorcontrib>Harner, Christopher D</creatorcontrib><creatorcontrib>Zhang, Xudong</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zheng, Liying</au><au>Harner, Christopher D</au><au>Zhang, Xudong</au><au>Almarza, Alejandro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The morphometry of soft tissue insertions on the tibial plateau: data acquisition and statistical shape analysis</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-05-02</date><risdate>2014</risdate><volume>9</volume><issue>5</issue><spage>e96515</spage><epage>e96515</epage><pages>e96515-e96515</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>This study characterized the soft tissue insertion morphometrics on the tibial plateau and their inter-relationships as well as variabilities. The outlines of the cruciate ligament and meniscal root insertions along with the medial and lateral cartilage on 20 cadaveric tibias (10 left and 10 right knees) were digitized and co-registered with corresponding CT-based 3D bone models. Generalized Procrustes Analysis was employed in conjunction with Principal Components Analysis to first create a geometric consensus based on tibial cartilage and then determine the means and variations of insertion morphometrics including shape, size, location, and inter-relationship measures. Step-wise regression analysis was conducted in search of parsimonious models relating the morphometric measures to the tibial plateau width and depth, and basic anthropometric and gender factors. The analyses resulted in statistical morphometric representations for Procrustes-superimposed cruciate ligament and meniscus insertions, and identified only a few moderate correlations (R2: 0.37-0.49). The study provided evidence challenging the isometric scaling based on a single dimension frequently employed in related morphometric studies, and data for evaluating cruciate ligament reconstruction strategies in terms of re-creating the native anatomy and minimizing the risk of iatrogenic injury. It paved the way for future development of computer-aided personalized orthopaedic surgery applications improving the quality of care and patient safety, and biomechanical models with a better population or average representation.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24788908</pmid><doi>10.1371/journal.pone.0096515</doi><oa>free_for_read</oa></addata></record> |
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subjects | Aged Anterior Cruciate Ligament - anatomy & histology Anterior Cruciate Ligament - surgery Anthropometry Biology and Life Sciences Biomechanics Cadaver Cadavers Cartilage Cartilage - anatomy & histology Cartilage - surgery Data acquisition Departments Digitization Female Health risks Humans Imaging, Three-Dimensional Insertion Isometric Knee Ligaments Male Medicine and Health Sciences Meniscus Middle Aged Models, Anatomic Morphology Morphometry Orthopedic Procedures - methods Physical Sciences Population (statistical) Posterior Cruciate Ligament - anatomy & histology Posterior Cruciate Ligament - surgery Principal components analysis Regression analysis Representations Scaling Skin & tissue grafts Statistical analysis Statistics Studies Surgeons Surgery Surgery, Computer-Assisted - methods Three dimensional models Tibia - anatomy & histology Tibia - surgery Tomography, X-Ray Computed |
title | The morphometry of soft tissue insertions on the tibial plateau: data acquisition and statistical shape analysis |
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