1
|
Dugan EL, Barbuto AE, Masterson CM, Shilt J. Multivariate functional principal component analysis and k-means clustering to identify kinematic foot types during gait in children with cerebral palsy. Gait Posture 2024; 113:40-45. [PMID: 38838379 DOI: 10.1016/j.gaitpost.2024.05.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 04/03/2024] [Accepted: 05/28/2024] [Indexed: 06/07/2024]
Abstract
BACKGROUND Children with neuromuscular disorders, such as cerebral palsy, frequently develop foot deformities, such as equinopronovalgus and equinosupovarus, leading to walking difficulties and discomfort. Traditional assessment methods, including clinical measures and radiographs, often fail to capture the dynamic nature of these deformities, resulting in suboptimal treatment. 3D gait analysis using multisegment foot models offers a more detailed understanding of these deformities. RESEARCH QUESTION To determine whether the combination of multisegment foot models, multivariate functional principal component analysis, and k-means cluster analyses could identify distinct, clinically relevant foot types in a large pediatric cohort with cerebral palsy. METHODS This was a retrospective analysis of 3D gait data from 197 patients with cerebral palsy collected using a multisegment foot model. Multivariate functional principal component analysis was used to reduce these data prior to using k-means clustering to identify foot posture clusters. Further analyses, including ANOVA and Fisher's Exact tests, were used to evaluate demographic, radiographic, and gait characteristics to explain the clinical relevance of each cluster. RESULTS Analysis of kinematic data from 371 feet revealed six clinically significant clusters, with a low misclassification rate of 2 %. One-factor ANOVAs demonstrated significant differences across clusters for all MPCs, whereas no significant differences were noted in basic anthropometric variables. Significant variations were observed in radiographic and gait function variables, and a strong association between GMFCS levels and cluster categorization was identified. SIGNIFICANCE The novel approach of integrating multivariate functional principal component analysis and k-means clustering identified a spectrum of foot deformities in children with CP, ranging from equinosupovarus to marked equinopronovalgus. This methodology provides an objective classification based on kinematic data and can facilitate improved diagnosis and treatment of cerebral palsy-related foot deformities.
Collapse
Affiliation(s)
- Eric L Dugan
- Texas Children's Hospital, The Woodlands, TX 77384, USA; Department of Orthopedic Surgery, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Amy E Barbuto
- Texas Children's Hospital, The Woodlands, TX 77384, USA
| | | | - Jeffrey Shilt
- Texas Children's Hospital, The Woodlands, TX 77384, USA; Department of Orthopedic Surgery, Baylor College of Medicine, Houston, TX 77030, USA
| |
Collapse
|
2
|
Brand A, Alexander N, Bauer L, Böhm H, Stief F, van Drongelen S, Wolf SI, Trinler U. [An update on clinical gait analysis : Current developments and applications]. ORTHOPADIE (HEIDELBERG, GERMANY) 2024; 53:494-502. [PMID: 38847874 DOI: 10.1007/s00132-024-04516-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/02/2024] [Indexed: 06/29/2024]
Abstract
The objective acquisition and assessment of joint movements and loads using instrumented gait analysis has become an established tool in clinical diagnostics. In particular, marker-based 3D gait analyses make use of an increasingly comprehensive database for the assessment of orthopaedic or neurological questions. Based on this data and medical-scientific experience, increasingly reliable approaches and evaluation strategies are emerging, which also draw on methods from artificial intelligence and musculoskeletal modelling. This article focusses on marker-based gait analyses of the lower extremity (hip, knee, foot) and how these can be used in a clinically relevant way using current methods, e.g. for determining indications or optimization of surgical planning. Finally, current developments and applications by using alternative methods from sensor technology and optical motion capture will be briefly discussed.
Collapse
Affiliation(s)
- Andreas Brand
- Institut für Biomechanik, BG Unfallklinik Murnau, Murnau, Deutschland
- Paracelsus Medizinische Privatuniversität Salzburg, Salzburg, Österreich
| | - Nathalie Alexander
- Labor für Bewegungsanalyse, Ostschweizer Kinderspital, St. Gallen, Schweiz
| | - Leandra Bauer
- Experimentelle Orthopädie, Universitätsklinikum Jena, Campus Eisenberg, Waldkliniken Eisenberg, Eisenberg, Deutschland
| | - Harald Böhm
- Orthopädische Kinderklinik, Behandlungszentrum Aschau gGmbH, Aschau im Chiemgau, Deutschland
- Fakultät Ingenieurwissenschaften und Gesundheit, Hochschule für angewandte Wissenschaft und Kunst Hildesheim/Holzminden/Göttingen, Hildesheim, Deutschland
| | - Felix Stief
- Klinik für Unfallchirurgie und Orthopädie, Universitätsklinikum, Goethe-Universität, Frankfurt am Main, Deutschland
- BG Service- und Rehabilitationszentrum, Berufsgenossenschaftliche Unfallklinik Frankfurt am Main, Frankfurt am Main, Deutschland
| | - Stefan van Drongelen
- Dr. Rolf M. Schwiete Forschungsbereich für Arthrose, Klinik für Unfallchirurgie und Orthopädie, Universitätsklinikum Frankfurt, Goethe-Universität Frankfurt, Frankfurt am Main, Deutschland
| | - Sebastian I Wolf
- Klinik für Orthopädie, Universitätsklinikum Heidelberg, Heidelberg, Deutschland
| | - Ursula Trinler
- Andreas Wentzensen Forschungsinstitut, BG Klinik Ludwigshafen, Ludwig-Guttmann-Str. 13, 67071, Ludwigshafen, Deutschland.
| |
Collapse
|
3
|
Böhm H, Stebbins J, Kothari A, Dussa CU. Dynamic Gait Analysis in Paediatric Flatfeet: Unveiling Biomechanical Insights for Diagnosis and Treatment. CHILDREN (BASEL, SWITZERLAND) 2024; 11:604. [PMID: 38790599 PMCID: PMC11119624 DOI: 10.3390/children11050604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 05/13/2024] [Accepted: 05/14/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND Flatfeet in children are common, causing concern for parents due to potential symptoms. Technological advances, like 3D foot kinematic analysis, have revolutionized assessment. This review examined 3D assessments in paediatric idiopathic flexible flat feet (FFF). METHODS Searches focused on paediatric idiopathic FFF in PubMed, Web of Science, and SCOPUS. Inclusion criteria required 3D kinematic and/or kinetic analysis during posture or locomotion, excluding non-idiopathic cases, adult feet, and studies solely on pedobarography or radiographs. RESULTS Twenty-four studies met the criteria. Kinematic and kinetic differences between FFF and typical feet during gait were outlined, with frontal plane deviations like hindfoot eversion and forefoot supination, alongside decreased second peak vertical GRF. Dynamic foot classification surpassed static assessments, revealing varied movement patterns within FFF. Associations between gait characteristics and clinical measures like pain symptoms and quality of life were explored. Interventions varied, with orthoses reducing ankle eversion and knee and hip abductor moments during gait, while arthroereisis normalized calcaneal alignment and hindfoot eversion. CONCLUSIONS This review synthesises research on 3D kinematics and kinetics in paediatric idiopathic FFF, offering insights for intervention strategies and further research.
Collapse
Affiliation(s)
- Harald Böhm
- Orthopaedic Hospital for Children, Treatment Center Aschau im Chiemgau, 83229 Aschau im Chiemgau, Germany
- Faculty of Engineering and Health Göttingen, University of Applied Sciences and Arts, 37077 Göttingen, Germany
| | - Julie Stebbins
- Oxford University Hospitals NHSFT, Oxford OX3 9DU, UK; (J.S.); (A.K.)
| | - Alpesh Kothari
- Oxford University Hospitals NHSFT, Oxford OX3 9DU, UK; (J.S.); (A.K.)
| | - Chakravarthy Ughandar Dussa
- Department of Orthopaedic Trauma and Surgery, Friedrich-Alexander University Erlangen, 91054 Erlangen, Germany;
| |
Collapse
|
4
|
Schallig W, Piening M, Quirijnen L, Witbreuk MM, Buizer AI, van der Krogt MM. Multi-segment foot kinematics during gait in children with spastic cerebral palsy. Gait Posture 2024; 110:144-149. [PMID: 38608379 DOI: 10.1016/j.gaitpost.2024.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 02/10/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024]
Abstract
BACKGROUND Foot deformities (e.g. planovalgus and cavovarus) are very common in children with spastic cerebral palsy (CP), with the midfoot often being involved. Dynamic foot function can be assessed with 3D gait analysis including a multi-segment foot model. Incorporating a midfoot segment in such a model, allows quantification of separate Chopart and Lisfranc joint kinematics. Yet, midfoot kinematics have not previously been reported in CP. RESEARCH QUESTIONS What is the difference in multi-segment kinematics including midfoot joints between common foot deformities in CP and typically-developing feet? METHODS 103 feet of 57 children with spastic CP and related conditions were retrospectively included and compared with 15 typically-developing children. All children underwent clinical gait analysis with the Amsterdam Foot Model marker set. Multi-segment foot kinematics were calculated for three strides per foot and averaged. A k-means cluster analysis was performed to identify foot deformity groups that were present within CP data. The deformity type represented by each cluster was based on the foot posture index. Kinematic output of the clusters was compared to typically-developing data for a static standing trial and for the range of motion and kinematic waveforms during walking, using regular and SPM independent t-tests respectively. RESULTS A neutral, planovalgus and varus cluster were identified. Neutral feet showed mostly similar kinematics as typically-developing data. Planovalgus feet showed increased ankle valgus and Chopart dorsiflexion, eversion and abduction. Varus feet showed increased ankle varus and Chopart inversion and adduction. SIGNIFICANCE This study is the first to describe Chopart and Lisfranc joint kinematics in different foot deformities of children with CP. It shows that adding a midfoot segment can provide additional clinical and kinematic information. It highlights joint angles that are more distinctive between deformities, which could be helpful to optimize the use of multi-segment foot kinematics in the clinical decision making process.
Collapse
Affiliation(s)
- Wouter Schallig
- Amsterdam UMC location Vrije Universiteit Amsterdam, Rehabilitation Medicine, de Boelelaan 1117, Amsterdam the Netherlands; Amsterdam Movement Sciences, Rehabilitation & Development, Amsterdam, the Netherlands; Amsterdam UMC location University of Amsterdam, Rehabilitation Medicine, Meibergdreef 9, Amsterdam, the Netherlands.
| | - Marjolein Piening
- Amsterdam UMC location Vrije Universiteit Amsterdam, Rehabilitation Medicine, de Boelelaan 1117, Amsterdam the Netherlands; Amsterdam Movement Sciences, Rehabilitation & Development, Amsterdam, the Netherlands
| | - Loes Quirijnen
- Amsterdam UMC location Vrije Universiteit Amsterdam, Rehabilitation Medicine, de Boelelaan 1117, Amsterdam the Netherlands
| | - Melinda M Witbreuk
- Amsterdam UMC location University of Amsterdam, Orthopedic surgery, Meibergdreef 9, Amsterdam, the Netherlands
| | - Annemieke I Buizer
- Amsterdam UMC location Vrije Universiteit Amsterdam, Rehabilitation Medicine, de Boelelaan 1117, Amsterdam the Netherlands; Amsterdam Movement Sciences, Rehabilitation & Development, Amsterdam, the Netherlands; Amsterdam UMC location University of Amsterdam, Rehabilitation Medicine, Meibergdreef 9, Amsterdam, the Netherlands; Emma Children's Hospital, Amsterdam UMC, Amsterdam, the Netherlands
| | - Marjolein M van der Krogt
- Amsterdam UMC location Vrije Universiteit Amsterdam, Rehabilitation Medicine, de Boelelaan 1117, Amsterdam the Netherlands; Amsterdam Movement Sciences, Rehabilitation & Development, Amsterdam, the Netherlands; Amsterdam UMC location University of Amsterdam, Rehabilitation Medicine, Meibergdreef 9, Amsterdam, the Netherlands
| |
Collapse
|
5
|
Berkeley R, Tennant S, Saifuddin A. Multimodality imaging of the paediatric flatfoot. Skeletal Radiol 2021; 50:2133-2149. [PMID: 34002241 DOI: 10.1007/s00256-021-03806-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 04/29/2021] [Accepted: 04/29/2021] [Indexed: 02/02/2023]
Abstract
Flatfoot is commonly encountered in the paediatric population and describes a spectrum of clinical and radiological presentations which encompass both normally developing and pathological feet. Flatfoot can be categorised as flexible or rigid, a distinction which has important implications when considering the potential underlying aetiology and treatment options, and therefore imaging is an important component of the diagnostic workup. Weight-bearing plain radiographs are established initial investigations, although the significance of a number of the commonly derived quantitative parameters in children remains unclear. CT and MRI are important additional imaging modalities reserved for the investigation of symptomatic cases or those in which an underlying structural abnormality is suspected, rigid flatfoot commonly falling into one of these two categories. We review and illustrate the multimodality imaging of the paediatric flatfoot, with reference to both qualitative and quantitative radiographic assessment and cross-sectional imaging appearances.
Collapse
Affiliation(s)
- Rupert Berkeley
- Department of Radiology, Royal National Orthopaedic Hospital, Brockley Hill, Stanmore, HA7 4LP, Middlesex, UK.
| | - Sally Tennant
- Department of Orthopaedic Surgery, Royal National Orthopaedic Hospital, Brockley Hill, Stanmore, HA7 4LP, Middlesex, UK
| | - Asif Saifuddin
- Department of Radiology, Royal National Orthopaedic Hospital, Brockley Hill, Stanmore, HA7 4LP, Middlesex, UK
| |
Collapse
|