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首页> 外文期刊>American Journal of Veterinary Research >Evaluation of the accuracy of neurologic data, survey radiographic results, or both for localization of the site of thoracolumbar intervertebral disk herniation in dogs.
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Evaluation of the accuracy of neurologic data, survey radiographic results, or both for localization of the site of thoracolumbar intervertebral disk herniation in dogs.

机译:对狗的胸腰椎椎间盘突出部位的神经学数据准确性的评估,调查射线照相的结果或二者兼有。

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摘要

Objective - To determine the accuracy of neurologic data, survey radiographic results, or both for localization of the site of thoracolumbar intervertebral disk herniation in dogs. Sample - 338 dogs with surgically confirmed intervertebral disk herniation from disk spaces T10-11 to L6-7. Procedures - Medical records and archived survey radiographs were reviewed for each case. Data were analyzed with multivariable logistic regression models. Three models were fit to develop subsets of the data consisting of survey radiographic data, neurologic examination data, and a combination of survey radiographic and neurologic examination data. The resulting models were validated by evaluating predictive performance against a validation subset of the data. Results - Models incorporating survey radiographic data and a combination of survey radiographic and neurologic data had similar predictive ability and performed better than the model based solely on neurologic data but resulted in substantial errors in predictions. Conclusions and Clinical Relevance - A combination of neurologic examination data as recorded in the medical records and radiographic data did not enhance predictive performance of multivariable logistic regression models over models limited to radiographic data. Neurologic and radiographic findings should not be used to completely exclude areas in an abnormal spinal cord region from further evaluation with advanced imaging.
机译:目的-为了确定狗的胸腰椎椎间盘突出部位的神经学数据的准确性,调查射线照相结果或两者兼有。样本-338只狗经手术确认从椎间隙T10-11到L6-7椎间盘突出。程序-审查每个病例的医疗记录和存档的射线照片。使用多变量逻辑回归模型分析数据。适合使用三种模型来开发数据的子集,这些子集包括调查射线照相数据,神经系统检查数据以及调查射线照相和神经系统检查数据的组合。通过针对数据的验证子集评估预测性能来验证生成的模型。结果-包含调查射线照相数据以及调查射线照相和神经系统数据的组合的模型具有相似的预测能力,并且比仅基于神经系统数据的模型具有更好的预测性能,但会导致预测上的重大错误。结论与临床意义-与限于放射线照相数据的模型相比,病历和放射线照相数据中记录的神经系统检查数据的组合并未提高多变量logistic回归模型的预测性能。神经影像学检查和影像学检查结果不应该用于完全排除异常脊髓区域中的区域,而无法通过高级成像进一步评估。

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