Index radiographic measurements in the prediction of progression in infantile idiopathic scoliosis: a comparative analysis and description of a novel predictive model
Purpose To assess the comparative accuracy of commonly utilised index radiological measurements in the prognosis of infantile idiopathic scoliosis (IIS) and build a parsimonious prognostic model utilising these measurements. Methods This was a retrospective analysis of a UK population of patients wi...
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Veröffentlicht in: | European spine journal 2021-07, Vol.30 (7), p.1858-1864 |
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description | Purpose
To assess the comparative accuracy of commonly utilised index radiological measurements in the prognosis of infantile idiopathic scoliosis (IIS) and build a parsimonious prognostic model utilising these measurements.
Methods
This was a retrospective analysis of a UK population of patients with IIS. Index radiological parameters were analysed, and outcome of their condition was determined over long-term follow-up. Comparative accuracy of each radiological measurement category was determined by logistic regression analyses and the corresponding receiver operating characteristic (ROC) curve. A predictive model of IIS progression using these measurements was then created.
Results
All three radiological measurement categories were predictive of IIS progression. However, on pairwise comparison of ROC curves and multivariate analysis, the index Cobb angle proved the most significant predictor of curve progression. Using the index Cobb angle only, a predictive model of curve progression achieved an accuracy of 81.18% with a cut-off Cobb angle of 34.5° found to be the optimal threshold to discriminate a progressive from resolving curve.
Conclusion
Of the three analysed index radiological parameters commonly used by surgeons in the prognosis of IIS, we found that the Cobb angle is the most accurate predictive measure. Further, neither addition of the RVAD nor convex RVA provided significant further prognostic value in a multivariate model of progression. However, not even the Cobb angle model was accurate in all cases; emphasising caution should be applied when relying on index radiological measurements to predict IIS outcomes. |
doi_str_mv | 10.1007/s00586-021-06795-3 |
format | Article |
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To assess the comparative accuracy of commonly utilised index radiological measurements in the prognosis of infantile idiopathic scoliosis (IIS) and build a parsimonious prognostic model utilising these measurements.
Methods
This was a retrospective analysis of a UK population of patients with IIS. Index radiological parameters were analysed, and outcome of their condition was determined over long-term follow-up. Comparative accuracy of each radiological measurement category was determined by logistic regression analyses and the corresponding receiver operating characteristic (ROC) curve. A predictive model of IIS progression using these measurements was then created.
Results
All three radiological measurement categories were predictive of IIS progression. However, on pairwise comparison of ROC curves and multivariate analysis, the index Cobb angle proved the most significant predictor of curve progression. Using the index Cobb angle only, a predictive model of curve progression achieved an accuracy of 81.18% with a cut-off Cobb angle of 34.5° found to be the optimal threshold to discriminate a progressive from resolving curve.
Conclusion
Of the three analysed index radiological parameters commonly used by surgeons in the prognosis of IIS, we found that the Cobb angle is the most accurate predictive measure. Further, neither addition of the RVAD nor convex RVA provided significant further prognostic value in a multivariate model of progression. However, not even the Cobb angle model was accurate in all cases; emphasising caution should be applied when relying on index radiological measurements to predict IIS outcomes.</description><identifier>ISSN: 0940-6719</identifier><identifier>EISSN: 1432-0932</identifier><identifier>DOI: 10.1007/s00586-021-06795-3</identifier><identifier>PMID: 33687542</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Accuracy ; Comparative analysis ; Medicine ; Medicine & Public Health ; Multivariate analysis ; Neurosurgery ; Original Article ; Prediction models ; Prognosis ; Scoliosis ; Surgical Orthopedics</subject><ispartof>European spine journal, 2021-07, Vol.30 (7), p.1858-1864</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-1b1e3f4ea5911ac8fae1aa251db206c3fe4f17ac75aa60b9cb42c9ba1f34c4dc3</cites><orcidid>0000-0002-7537-6315</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00586-021-06795-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00586-021-06795-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33687542$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lloyd, Adam P.</creatorcontrib><creatorcontrib>Jones, Morgan E. B.</creatorcontrib><creatorcontrib>Gardner, Adrian</creatorcontrib><creatorcontrib>Newton Ede, Matthew P.</creatorcontrib><title>Index radiographic measurements in the prediction of progression in infantile idiopathic scoliosis: a comparative analysis and description of a novel predictive model</title><title>European spine journal</title><addtitle>Eur Spine J</addtitle><addtitle>Eur Spine J</addtitle><description>Purpose
To assess the comparative accuracy of commonly utilised index radiological measurements in the prognosis of infantile idiopathic scoliosis (IIS) and build a parsimonious prognostic model utilising these measurements.
Methods
This was a retrospective analysis of a UK population of patients with IIS. Index radiological parameters were analysed, and outcome of their condition was determined over long-term follow-up. Comparative accuracy of each radiological measurement category was determined by logistic regression analyses and the corresponding receiver operating characteristic (ROC) curve. A predictive model of IIS progression using these measurements was then created.
Results
All three radiological measurement categories were predictive of IIS progression. However, on pairwise comparison of ROC curves and multivariate analysis, the index Cobb angle proved the most significant predictor of curve progression. Using the index Cobb angle only, a predictive model of curve progression achieved an accuracy of 81.18% with a cut-off Cobb angle of 34.5° found to be the optimal threshold to discriminate a progressive from resolving curve.
Conclusion
Of the three analysed index radiological parameters commonly used by surgeons in the prognosis of IIS, we found that the Cobb angle is the most accurate predictive measure. Further, neither addition of the RVAD nor convex RVA provided significant further prognostic value in a multivariate model of progression. However, not even the Cobb angle model was accurate in all cases; emphasising caution should be applied when relying on index radiological measurements to predict IIS outcomes.</description><subject>Accuracy</subject><subject>Comparative analysis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Multivariate analysis</subject><subject>Neurosurgery</subject><subject>Original Article</subject><subject>Prediction models</subject><subject>Prognosis</subject><subject>Scoliosis</subject><subject>Surgical Orthopedics</subject><issn>0940-6719</issn><issn>1432-0932</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kc1qFjEUhoNY7Gf1BlxIwI2bsfmfiTsp_hQKbtr1cCZz0qbMJGMyU-wNeZ3m82sruBACyUme8x7CQ8gbzj5wxtrTwpjuTMMEb5hprW7kM7LjSoqGWSmekx2zijWm5faYvCzlljGuLTMvyLGUpmu1Ejvy6zyO-JNmGEO6zrDcBEdnhLJlnDGuhYZI1xukS8YxuDWkSJOvVYWxlH0Z9stDXMOENNSYBdZ9SnFpCqmE8pECdWleIMMa7pBChOm-3tfDSEcsLoflMRhoTHc4PY2r-JxGnF6RIw9TwdcP-wm5-vL58uxbc_H96_nZp4vGSWHWhg8cpVcI2nIOrvOAHEBoPg6CGSc9Ks9bcK0GMGywblDC2QG4l8qp0ckT8v6QW3_4Y8Oy9nMoDqcJIqat9EJZKzvVMV7Rd_-gt2nL9W-V0lrpKsfYSokD5XIqJaPvlxxmyPc9Z_3eYn-w2FeL_R-LvaxNbx-it2HG8anlUVsF5AEo9SleY_47-z-xvwGYAK0C</recordid><startdate>20210701</startdate><enddate>20210701</enddate><creator>Lloyd, Adam P.</creator><creator>Jones, Morgan E. B.</creator><creator>Gardner, Adrian</creator><creator>Newton Ede, Matthew P.</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>7QP</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-7537-6315</orcidid></search><sort><creationdate>20210701</creationdate><title>Index radiographic measurements in the prediction of progression in infantile idiopathic scoliosis: a comparative analysis and description of a novel predictive model</title><author>Lloyd, Adam P. ; Jones, Morgan E. B. ; Gardner, Adrian ; Newton Ede, Matthew P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-1b1e3f4ea5911ac8fae1aa251db206c3fe4f17ac75aa60b9cb42c9ba1f34c4dc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Accuracy</topic><topic>Comparative analysis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Multivariate analysis</topic><topic>Neurosurgery</topic><topic>Original Article</topic><topic>Prediction models</topic><topic>Prognosis</topic><topic>Scoliosis</topic><topic>Surgical Orthopedics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lloyd, Adam P.</creatorcontrib><creatorcontrib>Jones, Morgan E. B.</creatorcontrib><creatorcontrib>Gardner, Adrian</creatorcontrib><creatorcontrib>Newton Ede, Matthew P.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</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>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>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</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>European spine journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lloyd, Adam P.</au><au>Jones, Morgan E. B.</au><au>Gardner, Adrian</au><au>Newton Ede, Matthew P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Index radiographic measurements in the prediction of progression in infantile idiopathic scoliosis: a comparative analysis and description of a novel predictive model</atitle><jtitle>European spine journal</jtitle><stitle>Eur Spine J</stitle><addtitle>Eur Spine J</addtitle><date>2021-07-01</date><risdate>2021</risdate><volume>30</volume><issue>7</issue><spage>1858</spage><epage>1864</epage><pages>1858-1864</pages><issn>0940-6719</issn><eissn>1432-0932</eissn><abstract>Purpose
To assess the comparative accuracy of commonly utilised index radiological measurements in the prognosis of infantile idiopathic scoliosis (IIS) and build a parsimonious prognostic model utilising these measurements.
Methods
This was a retrospective analysis of a UK population of patients with IIS. Index radiological parameters were analysed, and outcome of their condition was determined over long-term follow-up. Comparative accuracy of each radiological measurement category was determined by logistic regression analyses and the corresponding receiver operating characteristic (ROC) curve. A predictive model of IIS progression using these measurements was then created.
Results
All three radiological measurement categories were predictive of IIS progression. However, on pairwise comparison of ROC curves and multivariate analysis, the index Cobb angle proved the most significant predictor of curve progression. Using the index Cobb angle only, a predictive model of curve progression achieved an accuracy of 81.18% with a cut-off Cobb angle of 34.5° found to be the optimal threshold to discriminate a progressive from resolving curve.
Conclusion
Of the three analysed index radiological parameters commonly used by surgeons in the prognosis of IIS, we found that the Cobb angle is the most accurate predictive measure. Further, neither addition of the RVAD nor convex RVA provided significant further prognostic value in a multivariate model of progression. However, not even the Cobb angle model was accurate in all cases; emphasising caution should be applied when relying on index radiological measurements to predict IIS outcomes.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>33687542</pmid><doi>10.1007/s00586-021-06795-3</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-7537-6315</orcidid></addata></record> |
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subjects | Accuracy Comparative analysis Medicine Medicine & Public Health Multivariate analysis Neurosurgery Original Article Prediction models Prognosis Scoliosis Surgical Orthopedics |
title | Index radiographic measurements in the prediction of progression in infantile idiopathic scoliosis: a comparative analysis and description of a novel predictive model |
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