Miguel Montero Quijano , Vladimir Lenin Cruz Velasco , Julio Núñez Robles , Franklin Tamayo Pacho
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The average in height, weight and CMI they were 1.65<!--> <!-->cm, 76.6<!--> <!-->kg and 28.4 Kg/m<sup>2</sup> respectively.</p></div><div><h3>Results</h3><p>The models predicted the size of the components exactly in 76% for the femur and 83% for the tibial. All the predictions were inside a size<!--> <!-->±<!--> <!-->1 number as regards the real components and that they were implanted at the moment of the surgery, with a prediction of 100%. For both models, the height was the most important predictor to determine the size of the components, continued by the genre and the age.</p></div><div><h3>Conclusion</h3><p>This model predictive has the aptitude to be high precise although he allows to predict a better size, we must have all the sizes available in the surgical room. The prediction model facilitates the preparation of the femur and the shinbone with the final size of the components.</p></div>","PeriodicalId":101114,"journal":{"name":"Revista Latinoamericana de Cirugía Ortopédica","volume":"1 4","pages":"Pages 135-138"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rslaot.2017.02.004","citationCount":"0","resultStr":"{\"title\":\"Modelo predictivo para determinar el tamaño de los componentes femoral y tibial en artroplastia total de rodilla\",\"authors\":\"Miguel Montero Quijano , Vladimir Lenin Cruz Velasco , Julio Núñez Robles , Franklin Tamayo Pacho\",\"doi\":\"10.1016/j.rslaot.2017.02.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Purposes</h3><p>Objectives technique of preoperative planning in total knee arthroplasty is to set up accurate components, prosthetic under a proper alignment, according to the axial axis of the limb to intervene. To determine the efficacy of the predictive model that sets the size of the femoral and tibial components with patients who underwent primary knee arthroplasty.</p></div><div><h3>Material and methodology</h3><p>Retrospective, longitudinal study, observational, there were recruited patients submitted to total knee arthroplasty with the design Sigma PFC, realized between January, 2013 to December, 2014 in 80 women and 43 men registered with an age average of 67 years. The average in height, weight and CMI they were 1.65<!--> <!-->cm, 76.6<!--> <!-->kg and 28.4 Kg/m<sup>2</sup> respectively.</p></div><div><h3>Results</h3><p>The models predicted the size of the components exactly in 76% for the femur and 83% for the tibial. All the predictions were inside a size<!--> <!-->±<!--> <!-->1 number as regards the real components and that they were implanted at the moment of the surgery, with a prediction of 100%. For both models, the height was the most important predictor to determine the size of the components, continued by the genre and the age.</p></div><div><h3>Conclusion</h3><p>This model predictive has the aptitude to be high precise although he allows to predict a better size, we must have all the sizes available in the surgical room. The prediction model facilitates the preparation of the femur and the shinbone with the final size of the components.</p></div>\",\"PeriodicalId\":101114,\"journal\":{\"name\":\"Revista Latinoamericana de Cirugía Ortopédica\",\"volume\":\"1 4\",\"pages\":\"Pages 135-138\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.rslaot.2017.02.004\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista Latinoamericana de Cirugía Ortopédica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2444972517300062\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Latinoamericana de Cirugía Ortopédica","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2444972517300062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
目的:目的全膝关节置换术术前规划技术是准确设置假体构件,在假体下进行适当的对齐,根据肢体的轴向进行干预。确定预测模型对初次膝关节置换术患者股骨和胫骨组成部分大小的有效性。材料与方法回顾性、纵向研究、观察性研究,纳入2013年1月至2014年12月采用Sigma PFC设计行全膝关节置换术的患者,女性80例,男性43例,平均年龄67岁。平均身高1.65 cm,体重76.6 kg, CMI 28.4 kg /m2。结果该模型对股骨和胫骨的预测精度分别为76%和83%。所有的预测都在一个±1的范围内,对于真实的组件,它们在手术的那一刻被植入,预测率为100%。在这两个模型中,身高是决定成分大小的最重要预测因素,其次是类型和年龄。结论该模型预测具有较高的准确性,虽然它可以预测更好的尺寸,但我们必须在手术室中提供所有可用的尺寸。该预测模型便于股骨和胫骨的最终部件尺寸的准备。
Modelo predictivo para determinar el tamaño de los componentes femoral y tibial en artroplastia total de rodilla
Purposes
Objectives technique of preoperative planning in total knee arthroplasty is to set up accurate components, prosthetic under a proper alignment, according to the axial axis of the limb to intervene. To determine the efficacy of the predictive model that sets the size of the femoral and tibial components with patients who underwent primary knee arthroplasty.
Material and methodology
Retrospective, longitudinal study, observational, there were recruited patients submitted to total knee arthroplasty with the design Sigma PFC, realized between January, 2013 to December, 2014 in 80 women and 43 men registered with an age average of 67 years. The average in height, weight and CMI they were 1.65 cm, 76.6 kg and 28.4 Kg/m2 respectively.
Results
The models predicted the size of the components exactly in 76% for the femur and 83% for the tibial. All the predictions were inside a size ± 1 number as regards the real components and that they were implanted at the moment of the surgery, with a prediction of 100%. For both models, the height was the most important predictor to determine the size of the components, continued by the genre and the age.
Conclusion
This model predictive has the aptitude to be high precise although he allows to predict a better size, we must have all the sizes available in the surgical room. The prediction model facilitates the preparation of the femur and the shinbone with the final size of the components.