用于腰椎治疗预测的诊断参数

D. Andrei, D. Nemes, M. Tascau, D. Stoia
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引用次数: 0

摘要

本文建议定义三个参数,可以与腰椎诊断相关。这些参数将进一步用于预测软件,旨在在医学探索的早期阶段建立治疗指征。这些参数量化了病人非常不同的情况:疼痛——一个非常主观的参数;一天所消耗的热量-可测量值;腰椎活动度、体位角度等生物力学参数可测量参数。这些参数必须相互关联,因此必须对手术前后和治疗进行记录。这些数据的相互连接是一项具有挑战性的任务,需要一个大型的患者数据库来计算统计数据。另一个相互联系的基石是腰椎病理的生物力学统计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnosis parameters used in treatment prediction of the lumbar spine
The paper proposes to define three parameters that can be associated with lumbar spine diagnosis. These parameters will further be used in a prediction software that aims to establish a treatment indication in the early stages of the medical exploration. These parameters quantifies very different conditions of the patient: pain - a very subjective parameter; the calories consumed in one day - measurable value; biomechanical parameters like range of motion in lumbar spine and postural angle - measurable parameter. These parameters have to be interconnected and therefore recordings before and after surgery and treatment have to be made. The interconnection of those represents a challenging task that requires a large patient's database from which the statistics can be computed. Another cornerstone in interconnection is the lake of biomechanical statistics on the lumbar spine pathologies.
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