Adaptação Cultural e Linguística do Trunk Control Test: avaliação das propriedades psicométricas

Introdução: O controlo postural do tronco é um fator preditivo de autonomia, sendo fundamental a existência de instrumentos válidos e fiáveis a fim da sua avaliação na população portuguesa. Objetivo: Traduzir e adaptar o Trunk Control Test (TCT) para a população portuguesa em indivíduos após AVE e avaliar as suas propriedades psicométricas. Métodos: O TCT foi sujeito aos processos de tradução e retroversão para a população portuguesa por dois tradutores bilingues e realizadas duas reuniões com painel de peritos na área. Avaliou-se a validade, a fiabilidade, a sensibilidade, a especificidade e o poder de resposta em 19 indivíduos com AVE. Para avaliar a validade de critério os indivíduos foram adicionalmente submetidos à Escala de Equilíbrio de Berg (EEB), à Avaliação Motora de Rivermead (AMR) e à Escala de Comprometimento do Tronco (ECT). A fiabilidade inter-observadores foi garantida por uma segunda amostra de 25 fisioterapeutas, através da avaliação do desempenho de um participante no TCT. Os dados foram analisados no programa SPSS 22.0. Resultados: O TCT apresentou baixa consistência interna ( =0,523) e fiabilidade inter-observadores substancial (k=0,662). Obteve-se forte correlação do TCT com a ECT (r=0,885) e AMR (r=0,864), e correlação moderada com a EEB (r=0,700). A validade de construção aponta para uma moderada correlação entre itens (KMO=0,755; Bartlett=0,001). Não foi possível obter os valores de sensibilidade, especificidade e poder de resposta do TCT. Conclusão: O estudo demonstrou que o TCT é um instrumento válido e fiável na avaliação da população portuguesa após AVE.

Pen and sunlight sketches of scenery reached by the Grand Trunk Railway and connections : including Niagara Falls, Thousand Islands, Rapids of the Saint Lawrence, Montreal, Quebec, and the mountains of New England.--

At head of title: "The tourist route of America".

Pen and sunlight sketches of scenery reached by the Grand Trunk Railway and connections : including Niagara Falls, Thousand Islands, Rapids of the St. Lawrence, Montreal, Quebec, and the Mountains of New England. --

At head of title: "The tourist route of America."

Pen and sunlight sketches of scenery reached by the Grand Trunk Railway system and connections with summer routes and fares to principal points : including Niagara Falls, Thousand Islands, Rapids of the St. Lawrence, Montreal, Quebec, Parry Sound, Georgian Bay, Muskoka Lakes, Adirondacks, Lake St. John, Mackinac Island, Midland District Lakes, the White Mountains, the Suquenay River, Rangeley Lakes and the sea-shore.--

At head of title: "Great tourist route of America".

Summer resorts reached by the Grand Trunk Railway and its connections : Including Niagara Falls, The Thousand Islands, Rapids of the St. Lawrence River, The White Mountains, Montreal, Quebec, The Saquenay River, and the seashore. --

Compliments of Passenger Department.

Tourist travel via Grand Trunk Railway System : and connections, including Niagara Falls and Gorge, the Highlands of Ontario, comprising Georgian Bay, Muskoka Lakes ; St. Lawrence River, Montreal, Quebec, the Saguenay River, the Rangeley Lakes, White Mountains, and the Atlantic Sea-Coast /

Previous editions of this work have appeared under the title: Gateways of tourist travel.

Grand Trunk Railway way bills, 1900

The Grand Trunk Railway initially ran from Montreal to Toronto, then with expansion of Canada operated to British Columbia, linking major cities together. In 1900, two way bill forms were completed; one for the Niagara Falls Wine Co. and the other for T.G. Bright & Co. Both companies were headquartered in Niagara Falls, Ont. The consignors were John Mayberry & Co. and John Eleareys?.

Photograph - Woman Standing by a Large Tree Trunk

A woman wearing a hat and holding a small purse. She is standing next to a large tree trunk and there are benches behind her.

Four railway ticket stubs for the Grand Trunk Railway System from St. Catharines, Ontario to Buffalo, New York

Four railway ticket stubs for the Grand Trunk Railway System from St. Catharines, Ontario to Buffalo, New York, Feb 8, 1919.

Printed blank from Grand Trunk Railway for shipping to St. Catharines from Buffalo for table

Printed blank from Grand Trunk Railway for shipping to St. Catharines from Buffalo for table, 1888.

Receipt from Thomas Handford, trunk maker, London, England

Receipt from Thomas Handford, trunk maker, London, England for new cover to writing case with engraving, Aug. 27, 1847.

Scoliosis curve type classification from 3D trunk image

Adolescent idiopathic scoliosis (AIS) is a deformity of the spine manifested by asymmetry and deformities of the external surface of the trunk. Classification of scoliosis deformities according to curve type is used to plan management of scoliosis patients. Currently, scoliosis curve type is determined based on X-ray exam. However, cumulative exposure to X-rays radiation significantly increases the risk for certain cancer. In this paper, we propose a robust system that can classify the scoliosis curve type from non invasive acquisition of 3D trunk surface of the patients. The 3D image of the trunk is divided into patches and local geometric descriptors characterizing the surface of the back are computed from each patch and forming the features. We perform the reduction of the dimensionality by using Principal Component Analysis and 53 components were retained. In this work a multi-class classifier is built with Least-squares support vector machine (LS-SVM) which is a kernel classifier. For this study, a new kernel was designed in order to achieve a robust classifier in comparison with polynomial and Gaussian kernel. The proposed system was validated using data of 103 patients with different scoliosis curve types diagnosed and classified by an orthopedic surgeon from the X-ray images. The average rate of successful classification was 93.3% with a better rate of prediction for the major thoracic and lumbar/thoracolumbar types.

Scoliosis Follow-Up Using Noninvasive Trunk Surface Acquisition

Adolescent idiopathic scoliosis (AIS) is a musculoskeletal pathology. It is a complex spinal curvature in a 3-D space that also affects the appearance of the trunk. The clinical follow-up of AIS is decisive for its management. Currently, the Cobb angle, which is measured from full spine radiography, is the most common indicator of the scoliosis progression. However, cumulative exposure to X-rays radiation increases the risk for certain cancers. Thus, a noninvasive method for the identification of the scoliosis progression from trunk shape analysis would be helpful. In this study, a statistical model is built from a set of healthy subjects using independent component analysis and genetic algorithm. Based on this model, a representation of each scoliotic trunk from a set of AIS patients is computed and the difference between two successive acquisitions is used to determine if the scoliosis has progressed or not. This study was conducted on 58 subjects comprising 28 healthy subjects and 30 AIS patients who had trunk surface acquisitions in upright standing posture. The model detects 93% of the progressive cases and 80% of the nonprogressive cases. Thus, the rate of false negatives, representing the proportion of undetected progressions, is very low, only 7%. This study shows that it is possible to perform a scoliotic patient's follow-up using 3-D trunk image analysis, which is based on a noninvasive acquisition technique.

Analysis of scoliosis trunk deformities using ICA

This paper describes a method for analyzing scoliosis trunk deformities using Independent Component Analysis (ICA). Our hypothesis is that ICA can capture the scoliosis deformities visible on the trunk. Unlike Principal Component Analysis (PCA), ICA gives local shape variation and assumes that the data distribution is not normal. 3D torso images of 56 subjects including 28 patients with adolescent idiopathic scoliosis and 28 healthy subjects are analyzed using ICA. First, we remark that the independent components capture the local scoliosis deformities as the shoulder variation, the scapula asymmetry and the waist deformation. Second, we note that the different scoliosis curve types are characterized by different combinations of specific independent components.

A physically based trunk soft tissue modeling for scoliosis surgery planning systems

One of the major concerns of scoliotic patients undergoing spinal correction surgery is the trunk's external appearance after the surgery. This paper presents a novel incremental approach for simulating postoperative trunk shape in scoliosis surgery. Preoperative and postoperative trunk shapes data were obtained using three-dimensional medical imaging techniques for seven patients with adolescent idiopathic scoliosis. Results of qualitative and quantitative evaluations, based on the comparison of the simulated and actual postoperative trunk surfaces, showed an adequate accuracy of the method. Our approach provides a candidate simulation tool to be used in a clinical environment for the surgery planning process.