Expanded Age Indication for Ponseti Method for Correction of Congenital Idiopathic Talipes Equinovarus: A Systematic Review

Digge, Vijay Kumar; Desai, Jagannath; Das, Saubhik

doi:10.1053/j.jfas.2017.08.015

Cited by 24 publications

(22 citation statements)

References 26 publications

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“…Table 1 shows the details of the parameters of the scanning device in the proposed system while acquiring the planar pressure distribution imaging dataset using the RS-Scan Footscan 7.0 software system (as shown in Fig.9). Twenty testee (5 Flat foot (F), 5 Talipes Equinovarus (TE) [36] and 10 normal (N)) were involved in the thirty minutes of four times test, and the data was acquired subsequently. Furthermore, the system can also calculate the pressure information in different zone (shown in Figure.…”

Section: Figure 6 Scaling and Overlappingmentioning

confidence: 99%

“…By using other neural network mothods of back-propagation neural network (BPNN) [37], convolutional neural network (CNN) [38], back-propagation Hopfield neural network (BPHNN) [39] and fuzzy neural network (FNN) [40], the proposed CNN with RI-LBP using 21 texture features deployed better performance on CE, MSE and PAR. Predictive Accuracy Rate (PAR) BPNN [33] 0.62 0.077 0.855 CNN [34] 0.71 0.068 0.788 BPHNN [35] 0.61 0.066 0.685 FNN [36] 0.65 0.082 0.752 CNN + RI-LBP -21(+) 0.67 0.066 0.820 +: proposed in this research; PAR: predictive accuracy rate…”

Section: Figure 6 Scaling and Overlappingmentioning

confidence: 99%

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An efficient local binary pattern based plantar pressure optical sensor image classification using convolutional neural networks

Wang

et al. 2019

Optik

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The objective of this study was to design and produce highly comfortable shoe products guided by a plantar pressure imaging data-set. Previous studies have focused on the geometric measurement on the size of the plantar, while in this research a plantar pressure optical imaging data-set based classification technology has been developed. In this paper, an improved local binary pattern (LBP) algorithm is used to extract texture-based features and recognize patterns from the data-set. A calculating model of plantar pressure imaging feature area is established subsequently. The data-set is classified by a neural network to guide the generation of various shoe-last surfaces. Firstly, the local binary mode is improved to adapt to the pressure imaging data-set, and the texture-based feature calculation is fully used to accurately generate the feature point set; hereafter, the plantar pressure imaging feature point set is then used to guide the design of last free surface forming. In the presented experiments of plantar imaging, multi-dimensional texture-based features and improved LBP features have been found by a convolution neural network (CNN), and compared with a 21-input-3-output two-layer perceptual neural network. Three feet types are investigated in the experiment, being flatfoot (F) referring to the lack of a normal arch, or arch collapse, Talipes Equinovarus (TE), being the front part of the foot is adduction, calcaneus varus, plantar flexion, or Achilles tendon contracture and Normal (N). This research has achieved an 82% accuracy rate with 10 hidden-layers CNN of rotation invariance LBP (RI-LBP) algorithm using 21 texture-based features by comparing other deep learning methods presented in the literature.

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Section: Figure 6 Scaling and Overlappingmentioning

confidence: 99%

Section: Figure 6 Scaling and Overlappingmentioning

confidence: 99%

An efficient local binary pattern based plantar pressure optical sensor image classification using convolutional neural networks

Wang

et al. 2019

Optik

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“…Treatment is most effective if initiated early, ideally during infancy, but there are now numerous reports of older children being treated using the Ponseti technique. 7 …”

Section: Introductionmentioning

confidence: 99%

Clubfoot treatment in 2015: a global perspective

Owen¹,

Capper²,

Lavy

2018

BMJ Glob Health

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IntroductionClubfoot affects around 174 000 children born annually, with approximately 90% of these in low-income and middle-income countries (LMIC). Untreated clubfoot causes life-long impairment, affecting individuals’ ability to walk and participate in society. The minimally invasive Ponseti treatment is highly effective and has grown in acceptance globally. The objective of this cross-sectional study is to quantify the numbers of countries providing services for clubfoot and children accessing these.MethodIn 2015–2016, expected cases of clubfoot were calculated for all countries, using an incidence rate of 1.24/1000 births. Informants were sought from all LMIC, and participants completed a standardised survey about services for clubfoot in their countries in 2015. Data collected were analysed using simple numerical analysis, country coverage levels, trends over time and by income group. Qualitative data were analysed thematically.ResultsResponses were received from 55 countries, in which 79% of all expected cases of clubfoot were born. More than 24 000 children with clubfoot were enrolled for Ponseti treatment in 2015. Coverage was less than 25% in the majority of countries. There were higher levels of response and coverage within the lowest income country group. 31 countries reported a national programme for clubfoot, with the majority provided through public–private partnerships.ConclusionThis is the first study to describe global provision of, and access to, treatment services for children with clubfoot. The numbers of children accessing Ponseti treatment for clubfoot in LMIC has risen steadily since 2005. However, coverage remains low, and we estimate that less than 15% of children born with clubfoot in LMIC start treatment. More action to promote the rollout of national clubfoot programmes, build capacity for treatment and enable access and adherence to treatment in order to radically increase coverage and effectiveness is essential and urgent in order to prevent permanent disability caused by clubfoot.

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“…En cuanto a las limitaciones encontradas, el autor resalta la necesidad de la unificación de criterios para poder extraer conclusiones contundentes. Pese a esto, concluye que el tratamiento del pie zambo es efectivo en mayores de 2 años, si bien, el límite de edad de inicio del tratamiento para que éste sea exitoso sigue siendo incierto (19).…”

Section: Metaanálisisunclassified

“…A nivel mundial, el tratamiento conservador se considera el tratamiento de primera elección para la corrección del pie zambo, el cual es, claramente inevitable y debe comenzar lo antes posible tras el nacimiento del bebé, para conseguir el mejor resultado posible (Ponseti & Campos, 2009;Cooper & Dietz, 1995;Faulks & Richards, 2009;Bensahel, 1994; Jowett, 2011) (4,6). El tratamiento en infantes resulta desafiante debido a la rigidez que presenta el pie y a la existencia de alteraciones en el patrón de la marcha (19). Existe un consenso que dictamina que el tratamiento debe comenzar en el primer mes de vida; excepto en casos de bebés prematuros, donde se recomendó no iniciar el tratamiento en la Unidad de Cuidados Intensivos Neonatales (UCIN) y comenzarlo a posteriori, cuando el pie haya crecido y el neonato se haya estabilizado (Böhm S, 2013) (3).…”

Section: Introductionunclassified

Eficacia del método Ponseti en el tratamiento del pie equinovaro

Morales

2019

Rev. Int. Cienc. Podol.

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Contexto: El pie equinovaro es una deformidad musculoesquelética congénita caracterizada por la presencia de cavo, varo, adducto y equino. Afecta a 1-7 de cada 1000 nacimientos. Un pie zambo no tratado puede generar dolor y discapacidad durante la vida de la persona. El método Ponseti se ha convertido en la principal modalidad de tratamiento para el manejo del pie zambo produciendo buenos resultados a largo plazo. El objetivo de este manuscrito fue evaluar la eficacia del método Ponseti y la evolución de los pacientes en función de las tasas de recurrencia, tenotomías y cirugías asociadas. También se determinó si la edad de los niños influía en el éxito del tratamiento. Métodos: Se realizó una estrategia de búsqueda a través de Pubmed hasta abril de 2018. Los términos de búsqueda incluyeron pie zambo, método Ponseti y pie equinovaro. Se incluyeron metaanálisis, revisiones sistemáticas, ensayos clínicos y series de casos. También se examinaron las referencias bibliográficas de los artículos seleccionados. Resultados: Veintisiete artículos fueron incluidos en esta revisión. La literatura actual muestra una tasa de éxito del 78-92% utilizando el método Ponseti. Conclusión: El método Ponseti ofrece resultados alentadores en términos funcionales y estéticos, así como disminución del grado de corrección quirúrgica cuando los resultados no sean los esperados. Se necesita más investigación para generar evidencia de mayor calidad con mayores tamaños muestrales y unificación a la hora de medir la severidad de la deformidad. Otra limitación encontrada fue la ausencia de la definición de fracaso de tratamiento y sus correspondientes motivos.

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Expanded Age Indication for Ponseti Method for Correction of Congenital Idiopathic Talipes Equinovarus: A Systematic Review

Cited by 24 publications

References 26 publications

An efficient local binary pattern based plantar pressure optical sensor image classification using convolutional neural networks

An efficient local binary pattern based plantar pressure optical sensor image classification using convolutional neural networks

Clubfoot treatment in 2015: a global perspective

Eficacia del método Ponseti en el tratamiento del pie equinovaro

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