Seeing the Spine in 3D: How Will It Change What We Do?

BACKGROUNDThe Scoliosis Research Society (SRS) has appointed a committee to evaluate the clinical relevance and impact of 3D analysis on scoliotic deformities and to develop a 3D classification of adolescent idiopathic scoliosis (AIS). The goal of this article is to summarize and present the work do...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of pediatric orthopaedics 2011-01, Vol.31 Suppl (1 Suppl), p.S37-S45
Hauptverfasser: Labelle, Hubert, Aubin, Carl-Eric, Jackson, Roger, Lenke, Larry, Newton, Peter, Parent, Stefan
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page S45
container_issue 1 Suppl
container_start_page S37
container_title Journal of pediatric orthopaedics
container_volume 31 Suppl
creator Labelle, Hubert
Aubin, Carl-Eric
Jackson, Roger
Lenke, Larry
Newton, Peter
Parent, Stefan
description BACKGROUNDThe Scoliosis Research Society (SRS) has appointed a committee to evaluate the clinical relevance and impact of 3D analysis on scoliotic deformities and to develop a 3D classification of adolescent idiopathic scoliosis (AIS). The goal of this article is to summarize and present the work done in recent years within this committee and show how 3D analysis of AIS has the potential to change our current methods to analyse and treat scoliosis. METHODSA database of 600 3D reconstructions of the spine of patients with AIS has been established using calibrated PA and lateral radiographs obtained from either digital radiographs orthe EOS system. The 3D reconstructions were done using dedicated software and analyzed with the “da Vinci” view, a schematic top view representation of the 3D reconstructions, which summarizes the position of the End-Apex-End vertebrae planes (planes of maximum curvature). RESULTSPreliminary work was done using 3D reconstructions in 409 patients with AIS. Fuzzy clustering techniques were used toshow that the cohort could be segmented in 5 easily differentiated curve patterns similar to those of the Lenke and King classifications. Two subsequent articles have shown that 3D reconstructions can be divided in different groups based on the location of the plane of maximum curvature of their curves. One study of 66 cases has shown a consistent loss of kyphosis within the 5 thoracic apical vertebrae. Finally, a study of 172 Lenke 1 curves analyzed by ISOData cluster analysis has confirmed the presence of 2 statistically different subtypes according to the planes passing through the End-Apex-End vertebrae of the main thoracic curve. CONCLUSIONSThe study presented suggests that a valid and clinically useful 3D classification of AIS is within reach. 3D analysis has the potential to improve our comprehension of AIS curve types and automatic 3D classification may help decrease the known variability of current 2D classifications. LEVEL OF EVIDENCELevel III, systematic review of retrospective comparative studies.
doi_str_mv 10.1097/BPO.0b013e3181fd8801
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_822551765</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>822551765</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3005-64aad9941195a8d97323017f8aff4540d9762325b302b8898eb7f6ed60c1f65d3</originalsourceid><addsrcrecordid>eNpdkElLxEAQhRtRdFz-gUjfPEWrutObF9EZNxAUVObYdCYVE80kYzrD4L834gbWpYrivVfFx9g-whGCM8fn93dHkAFKkmixyK0FXGMjVNIlQhlYZyMQBhNtnN1i2zG-AKCRqdxkWwKHSaMZMf1AVDXPvC-JPyyqhnjVcDk54dftik-ruuY3PR-XoXkmPi1Dz6fEJ-3pLtsoQh1p77vvsKfLi8fxdXJ7d3UzPrtNZhJAJToNIXcuRXQq2NwZKeTwRGFDUaQqhWGjhRQqkyAya52lzBSacg0zLLTK5Q47_MpddO3bkmLv51WcUV2Hhtpl9FYIpdBoNSjTL-Wsa2PsqPCLrpqH7t0j-E9gfgDm_wMbbAffB5bZnPJf0w-hv9xVW_fUxdd6uaLOlxTqvvSAIkXpbCIAEXAgnMBQSn4A_Y9ymQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>822551765</pqid></control><display><type>article</type><title>Seeing the Spine in 3D: How Will It Change What We Do?</title><source>MEDLINE</source><source>Journals@Ovid Complete</source><creator>Labelle, Hubert ; Aubin, Carl-Eric ; Jackson, Roger ; Lenke, Larry ; Newton, Peter ; Parent, Stefan</creator><creatorcontrib>Labelle, Hubert ; Aubin, Carl-Eric ; Jackson, Roger ; Lenke, Larry ; Newton, Peter ; Parent, Stefan</creatorcontrib><description>BACKGROUNDThe Scoliosis Research Society (SRS) has appointed a committee to evaluate the clinical relevance and impact of 3D analysis on scoliotic deformities and to develop a 3D classification of adolescent idiopathic scoliosis (AIS). The goal of this article is to summarize and present the work done in recent years within this committee and show how 3D analysis of AIS has the potential to change our current methods to analyse and treat scoliosis. METHODSA database of 600 3D reconstructions of the spine of patients with AIS has been established using calibrated PA and lateral radiographs obtained from either digital radiographs orthe EOS system. The 3D reconstructions were done using dedicated software and analyzed with the “da Vinci” view, a schematic top view representation of the 3D reconstructions, which summarizes the position of the End-Apex-End vertebrae planes (planes of maximum curvature). RESULTSPreliminary work was done using 3D reconstructions in 409 patients with AIS. Fuzzy clustering techniques were used toshow that the cohort could be segmented in 5 easily differentiated curve patterns similar to those of the Lenke and King classifications. Two subsequent articles have shown that 3D reconstructions can be divided in different groups based on the location of the plane of maximum curvature of their curves. One study of 66 cases has shown a consistent loss of kyphosis within the 5 thoracic apical vertebrae. Finally, a study of 172 Lenke 1 curves analyzed by ISOData cluster analysis has confirmed the presence of 2 statistically different subtypes according to the planes passing through the End-Apex-End vertebrae of the main thoracic curve. CONCLUSIONSThe study presented suggests that a valid and clinically useful 3D classification of AIS is within reach. 3D analysis has the potential to improve our comprehension of AIS curve types and automatic 3D classification may help decrease the known variability of current 2D classifications. LEVEL OF EVIDENCELevel III, systematic review of retrospective comparative studies.</description><identifier>ISSN: 0271-6798</identifier><identifier>EISSN: 1539-2570</identifier><identifier>DOI: 10.1097/BPO.0b013e3181fd8801</identifier><identifier>PMID: 21173617</identifier><language>eng</language><publisher>United States: Lippincott Williams &amp; Wilkins, Inc</publisher><subject>Adolescent ; Cluster Analysis ; Databases as Topic ; Fuzzy Logic ; Humans ; Imaging, Three-Dimensional - methods ; Kyphosis - pathology ; Retrospective Studies ; Scoliosis - classification ; Scoliosis - pathology ; Thoracic Vertebrae - pathology</subject><ispartof>Journal of pediatric orthopaedics, 2011-01, Vol.31 Suppl (1 Suppl), p.S37-S45</ispartof><rights>2011 Lippincott Williams &amp; Wilkins, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21173617$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Labelle, Hubert</creatorcontrib><creatorcontrib>Aubin, Carl-Eric</creatorcontrib><creatorcontrib>Jackson, Roger</creatorcontrib><creatorcontrib>Lenke, Larry</creatorcontrib><creatorcontrib>Newton, Peter</creatorcontrib><creatorcontrib>Parent, Stefan</creatorcontrib><title>Seeing the Spine in 3D: How Will It Change What We Do?</title><title>Journal of pediatric orthopaedics</title><addtitle>J Pediatr Orthop</addtitle><description>BACKGROUNDThe Scoliosis Research Society (SRS) has appointed a committee to evaluate the clinical relevance and impact of 3D analysis on scoliotic deformities and to develop a 3D classification of adolescent idiopathic scoliosis (AIS). The goal of this article is to summarize and present the work done in recent years within this committee and show how 3D analysis of AIS has the potential to change our current methods to analyse and treat scoliosis. METHODSA database of 600 3D reconstructions of the spine of patients with AIS has been established using calibrated PA and lateral radiographs obtained from either digital radiographs orthe EOS system. The 3D reconstructions were done using dedicated software and analyzed with the “da Vinci” view, a schematic top view representation of the 3D reconstructions, which summarizes the position of the End-Apex-End vertebrae planes (planes of maximum curvature). RESULTSPreliminary work was done using 3D reconstructions in 409 patients with AIS. Fuzzy clustering techniques were used toshow that the cohort could be segmented in 5 easily differentiated curve patterns similar to those of the Lenke and King classifications. Two subsequent articles have shown that 3D reconstructions can be divided in different groups based on the location of the plane of maximum curvature of their curves. One study of 66 cases has shown a consistent loss of kyphosis within the 5 thoracic apical vertebrae. Finally, a study of 172 Lenke 1 curves analyzed by ISOData cluster analysis has confirmed the presence of 2 statistically different subtypes according to the planes passing through the End-Apex-End vertebrae of the main thoracic curve. CONCLUSIONSThe study presented suggests that a valid and clinically useful 3D classification of AIS is within reach. 3D analysis has the potential to improve our comprehension of AIS curve types and automatic 3D classification may help decrease the known variability of current 2D classifications. LEVEL OF EVIDENCELevel III, systematic review of retrospective comparative studies.</description><subject>Adolescent</subject><subject>Cluster Analysis</subject><subject>Databases as Topic</subject><subject>Fuzzy Logic</subject><subject>Humans</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Kyphosis - pathology</subject><subject>Retrospective Studies</subject><subject>Scoliosis - classification</subject><subject>Scoliosis - pathology</subject><subject>Thoracic Vertebrae - pathology</subject><issn>0271-6798</issn><issn>1539-2570</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkElLxEAQhRtRdFz-gUjfPEWrutObF9EZNxAUVObYdCYVE80kYzrD4L834gbWpYrivVfFx9g-whGCM8fn93dHkAFKkmixyK0FXGMjVNIlQhlYZyMQBhNtnN1i2zG-AKCRqdxkWwKHSaMZMf1AVDXPvC-JPyyqhnjVcDk54dftik-ruuY3PR-XoXkmPi1Dz6fEJ-3pLtsoQh1p77vvsKfLi8fxdXJ7d3UzPrtNZhJAJToNIXcuRXQq2NwZKeTwRGFDUaQqhWGjhRQqkyAya52lzBSacg0zLLTK5Q47_MpddO3bkmLv51WcUV2Hhtpl9FYIpdBoNSjTL-Wsa2PsqPCLrpqH7t0j-E9gfgDm_wMbbAffB5bZnPJf0w-hv9xVW_fUxdd6uaLOlxTqvvSAIkXpbCIAEXAgnMBQSn4A_Y9ymQ</recordid><startdate>201101</startdate><enddate>201101</enddate><creator>Labelle, Hubert</creator><creator>Aubin, Carl-Eric</creator><creator>Jackson, Roger</creator><creator>Lenke, Larry</creator><creator>Newton, Peter</creator><creator>Parent, Stefan</creator><general>Lippincott Williams &amp; Wilkins, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201101</creationdate><title>Seeing the Spine in 3D: How Will It Change What We Do?</title><author>Labelle, Hubert ; Aubin, Carl-Eric ; Jackson, Roger ; Lenke, Larry ; Newton, Peter ; Parent, Stefan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3005-64aad9941195a8d97323017f8aff4540d9762325b302b8898eb7f6ed60c1f65d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adolescent</topic><topic>Cluster Analysis</topic><topic>Databases as Topic</topic><topic>Fuzzy Logic</topic><topic>Humans</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Kyphosis - pathology</topic><topic>Retrospective Studies</topic><topic>Scoliosis - classification</topic><topic>Scoliosis - pathology</topic><topic>Thoracic Vertebrae - pathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Labelle, Hubert</creatorcontrib><creatorcontrib>Aubin, Carl-Eric</creatorcontrib><creatorcontrib>Jackson, Roger</creatorcontrib><creatorcontrib>Lenke, Larry</creatorcontrib><creatorcontrib>Newton, Peter</creatorcontrib><creatorcontrib>Parent, Stefan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of pediatric orthopaedics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Labelle, Hubert</au><au>Aubin, Carl-Eric</au><au>Jackson, Roger</au><au>Lenke, Larry</au><au>Newton, Peter</au><au>Parent, Stefan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Seeing the Spine in 3D: How Will It Change What We Do?</atitle><jtitle>Journal of pediatric orthopaedics</jtitle><addtitle>J Pediatr Orthop</addtitle><date>2011-01</date><risdate>2011</risdate><volume>31 Suppl</volume><issue>1 Suppl</issue><spage>S37</spage><epage>S45</epage><pages>S37-S45</pages><issn>0271-6798</issn><eissn>1539-2570</eissn><abstract>BACKGROUNDThe Scoliosis Research Society (SRS) has appointed a committee to evaluate the clinical relevance and impact of 3D analysis on scoliotic deformities and to develop a 3D classification of adolescent idiopathic scoliosis (AIS). The goal of this article is to summarize and present the work done in recent years within this committee and show how 3D analysis of AIS has the potential to change our current methods to analyse and treat scoliosis. METHODSA database of 600 3D reconstructions of the spine of patients with AIS has been established using calibrated PA and lateral radiographs obtained from either digital radiographs orthe EOS system. The 3D reconstructions were done using dedicated software and analyzed with the “da Vinci” view, a schematic top view representation of the 3D reconstructions, which summarizes the position of the End-Apex-End vertebrae planes (planes of maximum curvature). RESULTSPreliminary work was done using 3D reconstructions in 409 patients with AIS. Fuzzy clustering techniques were used toshow that the cohort could be segmented in 5 easily differentiated curve patterns similar to those of the Lenke and King classifications. Two subsequent articles have shown that 3D reconstructions can be divided in different groups based on the location of the plane of maximum curvature of their curves. One study of 66 cases has shown a consistent loss of kyphosis within the 5 thoracic apical vertebrae. Finally, a study of 172 Lenke 1 curves analyzed by ISOData cluster analysis has confirmed the presence of 2 statistically different subtypes according to the planes passing through the End-Apex-End vertebrae of the main thoracic curve. CONCLUSIONSThe study presented suggests that a valid and clinically useful 3D classification of AIS is within reach. 3D analysis has the potential to improve our comprehension of AIS curve types and automatic 3D classification may help decrease the known variability of current 2D classifications. LEVEL OF EVIDENCELevel III, systematic review of retrospective comparative studies.</abstract><cop>United States</cop><pub>Lippincott Williams &amp; Wilkins, Inc</pub><pmid>21173617</pmid><doi>10.1097/BPO.0b013e3181fd8801</doi></addata></record>
fulltext fulltext
identifier ISSN: 0271-6798
ispartof Journal of pediatric orthopaedics, 2011-01, Vol.31 Suppl (1 Suppl), p.S37-S45
issn 0271-6798
1539-2570
language eng
recordid cdi_proquest_miscellaneous_822551765
source MEDLINE; Journals@Ovid Complete
subjects Adolescent
Cluster Analysis
Databases as Topic
Fuzzy Logic
Humans
Imaging, Three-Dimensional - methods
Kyphosis - pathology
Retrospective Studies
Scoliosis - classification
Scoliosis - pathology
Thoracic Vertebrae - pathology
title Seeing the Spine in 3D: How Will It Change What We Do?
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T01%3A44%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Seeing%20the%20Spine%20in%203D:%20How%20Will%20It%20Change%20What%20We%20Do?&rft.jtitle=Journal%20of%20pediatric%20orthopaedics&rft.au=Labelle,%20Hubert&rft.date=2011-01&rft.volume=31%20Suppl&rft.issue=1%20Suppl&rft.spage=S37&rft.epage=S45&rft.pages=S37-S45&rft.issn=0271-6798&rft.eissn=1539-2570&rft_id=info:doi/10.1097/BPO.0b013e3181fd8801&rft_dat=%3Cproquest_cross%3E822551765%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=822551765&rft_id=info:pmid/21173617&rfr_iscdi=true