Testi Debora, Cappello Angelo, Sgallari Fiorella, Rumpf Martin, Viceconti Marco
Laboratorio di Tecnologia Medica, Istituti Ortopedici Rizzoli, Via di Barbiano 1/10, 40136 Bologna, Italy.
Comput Methods Programs Biomed. 2004 Aug;75(2):141-5. doi: 10.1016/j.cmpb.2003.11.002.
Femoral neck fractures are an important clinical, social and economic problem. Even if many different attempts have been carried out to improve the accuracy predicting the fracture risk, it was demonstrated in retrospective studies that the standard clinical protocol achieves an accuracy of about 65%. A new procedure was developed including for the prediction not only bone mineral density but also geometric and femoral strength information and achieving an accuracy of about 80% in a previous retrospective study. Aim of the present work was to re-engineer research-based procedures and develop a real-time software for the prediction of the risk for femoral fracture. The result was efficient, repeatable and easy to use software for the evaluation of the femoral neck fracture risk to be inserted in the daily clinical practice providing a useful tool for the improvement of fracture prediction.
股骨颈骨折是一个重要的临床、社会和经济问题。尽管已经进行了许多不同的尝试来提高预测骨折风险的准确性，但回顾性研究表明，标准临床方案的准确率约为65%。此前已开发出一种新方法，该方法不仅用于预测骨密度，还用于预测几何形状和股骨强度信息，在之前的回顾性研究中其准确率约为80%。本研究的目的是重新设计基于研究的程序，并开发一种用于预测股骨骨折风险的实时软件。结果得到了高效、可重复且易于使用的软件，用于评估股骨颈骨折风险，可应用于日常临床实践，为改善骨折预测提供了有用工具。
