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
Hauptverfasser: Lloyd, Adam P., Jones, Morgan E. B., Gardner, Adrian, Newton Ede, Matthew P.
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creator Lloyd, Adam P.
Jones, Morgan E. B.
Gardner, Adrian
Newton Ede, Matthew P.
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.
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B. ; Gardner, Adrian ; Newton Ede, Matthew P.</creator><creatorcontrib>Lloyd, Adam P. ; Jones, Morgan E. B. ; Gardner, Adrian ; Newton Ede, Matthew P.</creatorcontrib><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. 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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. 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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. 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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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