Phenotyping the knee in young non-osteoarthritic knees shows a wide distribution of femoral and tibial coronal alignment
Purpose There is a lack of knowledge about the joint line orientation of the femur and tibia in non-osteoarthritic knees. The primary purpose of the present study was to evaluate the orientation of the joint lines in native non-osteoarthritic knees using 3D-reconstructed CT scans. The secondary purp...
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creator | Hirschmann, Michael T. Moser, Lukas B. Amsler, Felix Behrend, Henrik Leclercq, Vincent Hess, Silvan |
description | Purpose
There is a lack of knowledge about the joint line orientation of the femur and tibia in non-osteoarthritic knees. The primary purpose of the present study was to evaluate the orientation of the joint lines in native non-osteoarthritic knees using 3D-reconstructed CT scans. The secondary purpose was to identify knee phenotypes to combine the information of the femoral and tibial alignment.
Methods
A total of 308 non-osteoarthritic knees of 160 patients (male to female ratio = 102:58, mean age ± standard deviation 30 ± 7 years (16–44 years) were retrospectively included from our registry. All patients received CT of the knee according to the Imperial Knee Protocol. The orientation of the femoral and tibial joint line was measured in relation to their mechanical axis (femoral mechanical angle, FMA, and tibial mechanical angle, TMA) using a commercially planning software (KneePLAN 3D, Symbios, Yverdon les Bains, Switzerland). The values of FMA and TMA were compared between males and females. Descriptive statistics, such as means, ranges, and measures of variance (e.g. standard deviations), were presented. Based on these results, phenotypes were introduced for the femur and tibia. These phenotypes, based on FMA and TMA values, consist of a mean value and cover a range of ± 1.5° from this mean (3° increments). The distribution of femoral and tibial phenotypes, and their combinations (knee phenotypes) were calculated for the total group and for both genders.
Results
The overall mean FMA ± standard deviation (SD) was 93.4° ± 2.0° and values ranged from 87.9° varus to 100° valgus. The overall mean TMA ± SD was 87.2° ± 2.4° with a range of 81.3° varus to 94.6° valgus. FMA and TMA showed significant gender differences (
p
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doi_str_mv | 10.1007/s00167-019-05508-0 |
format | Article |
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There is a lack of knowledge about the joint line orientation of the femur and tibia in non-osteoarthritic knees. The primary purpose of the present study was to evaluate the orientation of the joint lines in native non-osteoarthritic knees using 3D-reconstructed CT scans. The secondary purpose was to identify knee phenotypes to combine the information of the femoral and tibial alignment.
Methods
A total of 308 non-osteoarthritic knees of 160 patients (male to female ratio = 102:58, mean age ± standard deviation 30 ± 7 years (16–44 years) were retrospectively included from our registry. All patients received CT of the knee according to the Imperial Knee Protocol. The orientation of the femoral and tibial joint line was measured in relation to their mechanical axis (femoral mechanical angle, FMA, and tibial mechanical angle, TMA) using a commercially planning software (KneePLAN 3D, Symbios, Yverdon les Bains, Switzerland). The values of FMA and TMA were compared between males and females. Descriptive statistics, such as means, ranges, and measures of variance (e.g. standard deviations), were presented. Based on these results, phenotypes were introduced for the femur and tibia. These phenotypes, based on FMA and TMA values, consist of a mean value and cover a range of ± 1.5° from this mean (3° increments). The distribution of femoral and tibial phenotypes, and their combinations (knee phenotypes) were calculated for the total group and for both genders.
Results
The overall mean FMA ± standard deviation (SD) was 93.4° ± 2.0° and values ranged from 87.9° varus to 100° valgus. The overall mean TMA ± SD was 87.2° ± 2.4° with a range of 81.3° varus to 94.6° valgus. FMA and TMA showed significant gender differences (
p
< 0.01). Females showed more valgus alignment than males. The most common femoral phenotype was neutral in both genders. The most common tibial phenotype was neutral in the male knees (62.8%) and valgus (41.6%) in the female knees. In males, the most frequent combination (knee phenotype) was a neutral phenotype in the femur and a neutral phenotype in the tibia (25.6%). In females, it was a neutral femoral phenotype and a valgus tibial phenotype (28.3%).
Conclusion
3D-reconstructed CT scans confirmed the great variability of the joint line orientation in non-osteoarthritic knees. The introduced femoral and tibial phenotypes enable the evaluation of the femoral and tibial alignment together (knee phenotypes). The variability of knee phenotypes found in this young non-osteoarthritic population clearly shows the need for a more individualized approach in TKA.
Level of evidence
III.</description><identifier>ISSN: 0942-2056</identifier><identifier>EISSN: 1433-7347</identifier><identifier>DOI: 10.1007/s00167-019-05508-0</identifier><identifier>PMID: 30980119</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Alignment ; Biocompatibility ; Computed tomography ; Females ; Femur ; Gender aspects ; Genotype & phenotype ; Joints (anatomy) ; Knee ; Males ; Medical imaging ; Medicine ; Medicine & Public Health ; Orientation ; Orthopedics ; Osteoarthritis ; Patients ; Phenotypes ; Phenotypic variations ; Phenotyping ; Sex differences ; Standard deviation ; Tibia ; Variability</subject><ispartof>Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2019-05, Vol.27 (5), p.1385-1393</ispartof><rights>European Society of Sports Traumatology, Knee Surgery, Arthroscopy (ESSKA) 2019</rights><rights>Knee Surgery, Sports Traumatology, Arthroscopy is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c441t-85d3755f5cb6bd1a041180e8233c4fe3021f8504a4f48c841ec96e8ad2654c553</citedby><cites>FETCH-LOGICAL-c441t-85d3755f5cb6bd1a041180e8233c4fe3021f8504a4f48c841ec96e8ad2654c553</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00167-019-05508-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00167-019-05508-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30980119$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hirschmann, Michael T.</creatorcontrib><creatorcontrib>Moser, Lukas B.</creatorcontrib><creatorcontrib>Amsler, Felix</creatorcontrib><creatorcontrib>Behrend, Henrik</creatorcontrib><creatorcontrib>Leclercq, Vincent</creatorcontrib><creatorcontrib>Hess, Silvan</creatorcontrib><title>Phenotyping the knee in young non-osteoarthritic knees shows a wide distribution of femoral and tibial coronal alignment</title><title>Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA</title><addtitle>Knee Surg Sports Traumatol Arthrosc</addtitle><addtitle>Knee Surg Sports Traumatol Arthrosc</addtitle><description>Purpose
There is a lack of knowledge about the joint line orientation of the femur and tibia in non-osteoarthritic knees. The primary purpose of the present study was to evaluate the orientation of the joint lines in native non-osteoarthritic knees using 3D-reconstructed CT scans. The secondary purpose was to identify knee phenotypes to combine the information of the femoral and tibial alignment.
Methods
A total of 308 non-osteoarthritic knees of 160 patients (male to female ratio = 102:58, mean age ± standard deviation 30 ± 7 years (16–44 years) were retrospectively included from our registry. All patients received CT of the knee according to the Imperial Knee Protocol. The orientation of the femoral and tibial joint line was measured in relation to their mechanical axis (femoral mechanical angle, FMA, and tibial mechanical angle, TMA) using a commercially planning software (KneePLAN 3D, Symbios, Yverdon les Bains, Switzerland). The values of FMA and TMA were compared between males and females. Descriptive statistics, such as means, ranges, and measures of variance (e.g. standard deviations), were presented. Based on these results, phenotypes were introduced for the femur and tibia. These phenotypes, based on FMA and TMA values, consist of a mean value and cover a range of ± 1.5° from this mean (3° increments). The distribution of femoral and tibial phenotypes, and their combinations (knee phenotypes) were calculated for the total group and for both genders.
Results
The overall mean FMA ± standard deviation (SD) was 93.4° ± 2.0° and values ranged from 87.9° varus to 100° valgus. The overall mean TMA ± SD was 87.2° ± 2.4° with a range of 81.3° varus to 94.6° valgus. FMA and TMA showed significant gender differences (
p
< 0.01). Females showed more valgus alignment than males. The most common femoral phenotype was neutral in both genders. The most common tibial phenotype was neutral in the male knees (62.8%) and valgus (41.6%) in the female knees. In males, the most frequent combination (knee phenotype) was a neutral phenotype in the femur and a neutral phenotype in the tibia (25.6%). In females, it was a neutral femoral phenotype and a valgus tibial phenotype (28.3%).
Conclusion
3D-reconstructed CT scans confirmed the great variability of the joint line orientation in non-osteoarthritic knees. The introduced femoral and tibial phenotypes enable the evaluation of the femoral and tibial alignment together (knee phenotypes). The variability of knee phenotypes found in this young non-osteoarthritic population clearly shows the need for a more individualized approach in TKA.
Level of evidence
III.</description><subject>Alignment</subject><subject>Biocompatibility</subject><subject>Computed tomography</subject><subject>Females</subject><subject>Femur</subject><subject>Gender aspects</subject><subject>Genotype & phenotype</subject><subject>Joints (anatomy)</subject><subject>Knee</subject><subject>Males</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Orientation</subject><subject>Orthopedics</subject><subject>Osteoarthritis</subject><subject>Patients</subject><subject>Phenotypes</subject><subject>Phenotypic variations</subject><subject>Phenotyping</subject><subject>Sex differences</subject><subject>Standard deviation</subject><subject>Tibia</subject><subject>Variability</subject><issn>0942-2056</issn><issn>1433-7347</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kU1v1DAQhi0EokvLH-CALHHhEjr-SpwjqviSKtEDPVuOM9l1SezFdlT23-PuFpA4cJrRzDOvLT2EvGLwjgF0lxmAtV0DrG9AKdANPCEbJoVoOiG7p2QDveQNB9WekRc53wHUVvbPyZmAXgNj_Yb8vNlhiOWw92FLyw7p94BIfaCHuNZJiKGJuWC0qeySL94dgUzzLt5naum9H5GOPpfkh7X4GGic6IRLTHamNoy0-MHX1sUUw8No9tuwYCgX5Nlk54wvH-s5uf344dvV5-b666cvV--vGyclK41Wo-iUmpQb2mFkFiRjGlBzIZycUABnk1YgrZykdloydH2L2o68VdIpJc7J21PuPsUfK-ZiFp8dzrMNGNdsOIe-ZZx1sqJv_kHv4prqr4-UVpyJVleKnyiXYs4JJ7NPfrHpYBiYBy_m5MVUL-boxUA9ev0YvQ4Ljn9OfouogDgBua7CFtPft_8T-wtwdZka</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>Hirschmann, Michael T.</creator><creator>Moser, Lukas B.</creator><creator>Amsler, Felix</creator><creator>Behrend, Henrik</creator><creator>Leclercq, Vincent</creator><creator>Hess, Silvan</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20190501</creationdate><title>Phenotyping the knee in young non-osteoarthritic knees shows a wide distribution of femoral and tibial coronal alignment</title><author>Hirschmann, Michael T. ; Moser, Lukas B. ; Amsler, Felix ; Behrend, Henrik ; Leclercq, Vincent ; Hess, Silvan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c441t-85d3755f5cb6bd1a041180e8233c4fe3021f8504a4f48c841ec96e8ad2654c553</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Alignment</topic><topic>Biocompatibility</topic><topic>Computed tomography</topic><topic>Females</topic><topic>Femur</topic><topic>Gender aspects</topic><topic>Genotype & phenotype</topic><topic>Joints (anatomy)</topic><topic>Knee</topic><topic>Males</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Orientation</topic><topic>Orthopedics</topic><topic>Osteoarthritis</topic><topic>Patients</topic><topic>Phenotypes</topic><topic>Phenotypic variations</topic><topic>Phenotyping</topic><topic>Sex differences</topic><topic>Standard deviation</topic><topic>Tibia</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hirschmann, Michael T.</creatorcontrib><creatorcontrib>Moser, Lukas B.</creatorcontrib><creatorcontrib>Amsler, Felix</creatorcontrib><creatorcontrib>Behrend, Henrik</creatorcontrib><creatorcontrib>Leclercq, Vincent</creatorcontrib><creatorcontrib>Hess, Silvan</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Physical Education Index</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>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hirschmann, Michael T.</au><au>Moser, Lukas B.</au><au>Amsler, Felix</au><au>Behrend, Henrik</au><au>Leclercq, Vincent</au><au>Hess, Silvan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Phenotyping the knee in young non-osteoarthritic knees shows a wide distribution of femoral and tibial coronal alignment</atitle><jtitle>Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA</jtitle><stitle>Knee Surg Sports Traumatol Arthrosc</stitle><addtitle>Knee Surg Sports Traumatol Arthrosc</addtitle><date>2019-05-01</date><risdate>2019</risdate><volume>27</volume><issue>5</issue><spage>1385</spage><epage>1393</epage><pages>1385-1393</pages><issn>0942-2056</issn><eissn>1433-7347</eissn><abstract>Purpose
There is a lack of knowledge about the joint line orientation of the femur and tibia in non-osteoarthritic knees. The primary purpose of the present study was to evaluate the orientation of the joint lines in native non-osteoarthritic knees using 3D-reconstructed CT scans. The secondary purpose was to identify knee phenotypes to combine the information of the femoral and tibial alignment.
Methods
A total of 308 non-osteoarthritic knees of 160 patients (male to female ratio = 102:58, mean age ± standard deviation 30 ± 7 years (16–44 years) were retrospectively included from our registry. All patients received CT of the knee according to the Imperial Knee Protocol. The orientation of the femoral and tibial joint line was measured in relation to their mechanical axis (femoral mechanical angle, FMA, and tibial mechanical angle, TMA) using a commercially planning software (KneePLAN 3D, Symbios, Yverdon les Bains, Switzerland). The values of FMA and TMA were compared between males and females. Descriptive statistics, such as means, ranges, and measures of variance (e.g. standard deviations), were presented. Based on these results, phenotypes were introduced for the femur and tibia. These phenotypes, based on FMA and TMA values, consist of a mean value and cover a range of ± 1.5° from this mean (3° increments). The distribution of femoral and tibial phenotypes, and their combinations (knee phenotypes) were calculated for the total group and for both genders.
Results
The overall mean FMA ± standard deviation (SD) was 93.4° ± 2.0° and values ranged from 87.9° varus to 100° valgus. The overall mean TMA ± SD was 87.2° ± 2.4° with a range of 81.3° varus to 94.6° valgus. FMA and TMA showed significant gender differences (
p
< 0.01). Females showed more valgus alignment than males. The most common femoral phenotype was neutral in both genders. The most common tibial phenotype was neutral in the male knees (62.8%) and valgus (41.6%) in the female knees. In males, the most frequent combination (knee phenotype) was a neutral phenotype in the femur and a neutral phenotype in the tibia (25.6%). In females, it was a neutral femoral phenotype and a valgus tibial phenotype (28.3%).
Conclusion
3D-reconstructed CT scans confirmed the great variability of the joint line orientation in non-osteoarthritic knees. The introduced femoral and tibial phenotypes enable the evaluation of the femoral and tibial alignment together (knee phenotypes). The variability of knee phenotypes found in this young non-osteoarthritic population clearly shows the need for a more individualized approach in TKA.
Level of evidence
III.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>30980119</pmid><doi>10.1007/s00167-019-05508-0</doi><tpages>9</tpages></addata></record> |
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source | Wiley Online Library Journals Frontfile Complete; SpringerLink Journals |
subjects | Alignment Biocompatibility Computed tomography Females Femur Gender aspects Genotype & phenotype Joints (anatomy) Knee Males Medical imaging Medicine Medicine & Public Health Orientation Orthopedics Osteoarthritis Patients Phenotypes Phenotypic variations Phenotyping Sex differences Standard deviation Tibia Variability |
title | Phenotyping the knee in young non-osteoarthritic knees shows a wide distribution of femoral and tibial coronal alignment |
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