Literature DB >> 24268697

Femoral derotational osteotomy: surgical indications and outcomes in children with cerebral palsy.

Michael H Schwartz1, Adam Rozumalski2, Tom F Novacheck3.   

Abstract

Excessive femoral anteversion is common among children with cerebral palsy, and is, frequently treated by a femoral derotational osteotomy (FDO). It is important to understand surgical, indications for FDO, and the impact of these indications on the treatment outcomes. The Random Forest algorithm was used to objectively identify historical surgical indications in a large retrospective, cohort of 1088 limbs that had previously undergone single-event multi-level surgery. Treatment, outcome was based on transverse plane kinematics obtained from three-dimensional gait analysis. The, classifier effectively identified the historic indications (accuracy = .85, sensitivity = .93, specificity = .69, positive predictive value = .86, negative predictive value = .82), and naturally divided limbs into four, clusters: two homogeneous +FDO clusters (with/without significant internal hip rotation during gait), one homogeneous -FDO cluster, and a mixed cluster. Concomitant surgeries were similar among the, clusters. Limbs with excessive anteversion and internal hip rotation during gait had excellent outcomes, in the transverse plane. Limbs with excessive anteversion but only mild internal hip rotation had good, outcomes at the hip level; but a significant number of these limbs ended up with an excessive external, foot progression angle. The Random Forest algorithm was highly effective for identifying and, organizing historic surgical indications. The derived criteria can be used to give surgical decision making, guidance in a majority of limbs. The results suggest that limbs with anteversion and significant, internal hip rotation during gait benefit from an FDO, but limbs with excessive anteversion and only, mild internal hip rotation are at risk of developing an excessive external foot progression angle.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Anteversion; Cerebral palsy; Femur; Outcome; Random forest

Mesh:

Year:  2013        PMID: 24268697     DOI: 10.1016/j.gaitpost.2013.10.016

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  8 in total

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Review 2.  Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities.

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3.  Dynamic motor control is associated with treatment outcomes for children with cerebral palsy.

Authors:  Michael H Schwartz; Adam Rozumalski; Katherine M Steele
Journal:  Dev Med Child Neurol       Date:  2016-04-21       Impact factor: 5.449

4.  Gait phenotypes in paediatric hereditary spastic paraplegia revealed by dynamic time warping analysis and random forests.

Authors:  Irene Pulido-Valdeolivas; David Gómez-Andrés; Juan Andrés Martín-Gonzalo; Irene Rodríguez-Andonaegui; Javier López-López; Samuel Ignacio Pascual-Pascual; Estrella Rausell
Journal:  PLoS One       Date:  2018-03-08       Impact factor: 3.240

5.  Recurrent internal hip rotation gait in cerebral palsy: Case reports of two patients.

Authors:  Rory O'Sullivan; Damien Kiernan
Journal:  HRB Open Res       Date:  2019-01-29

6.  Estimating the effect size of surgery to improve walking in children with cerebral palsy from retrospective observational clinical data.

Authors:  Apoorva Rajagopal; Łukasz Kidziński; Alec S McGlaughlin; Jennifer L Hicks; Scott L Delp; Michael H Schwartz
Journal:  Sci Rep       Date:  2018-11-05       Impact factor: 4.379

7.  Short-term causal effects of common treatments in ambulatory children and young adults with cerebral palsy: three machine learning estimates.

Authors:  Michael H Schwartz; Andrew J Ries; Andrew G Georgiadis
Journal:  Sci Rep       Date:  2022-05-12       Impact factor: 4.996

8.  Proximal femoral osteotomy in children with cerebral palsy: the perspective of the trainee.

Authors:  L Zhou; M Camp; A Gahukamble; K L Willoughby; M Harambasic; C Molesworth; A Khot; H K Graham
Journal:  J Child Orthop       Date:  2017       Impact factor: 1.548

  8 in total

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