Center for Neuroscience, Children's National Medical Center, George Washington University, Washington, District of Columbia 20010, USA.
Epilepsia. 2011 Sep;52(9):1750-6. doi: 10.1111/j.1528-1167.2011.03155.x. Epub 2011 Jul 8.
Recognition of limited economic resources, as well as potential adverse effects of "over testing," has increased interest in "evidence-based" assessment of new medical technology. This creates a particular problem for evaluation and treatment of epilepsy, which are increasingly dependent on advanced imaging and electrophysiology, since there is a marked paucity of epilepsy diagnostic and prognostic studies that meet rigorous standards for evidence classification. The lack of high quality data reflects fundamental weaknesses in many imaging studies but also limitations in the assumptions underlying evidence classification schemes as they relate to epilepsy, and to the practicalities of conducting adequately powered studies of rapidly evolving technologies. We review the limitations of current guidelines and propose elements for imaging studies that can contribute meaningfully to the epilepsy literature.
认识到有限的经济资源,以及“过度检测”的潜在不利影响,增加了对新医疗技术进行“基于证据”评估的兴趣。这给癫痫的评估和治疗带来了一个特殊的问题,因为越来越依赖先进的影像学和电生理学,而满足证据分类严格标准的癫痫诊断和预后研究却明显不足。缺乏高质量的数据反映了许多影像学研究的根本缺陷,但也反映了证据分类方案中与癫痫以及对快速发展技术进行充分有力研究的基本假设的局限性。我们回顾了当前指南的局限性,并提出了影像学研究的要素,这些要素可以为癫痫文献做出有意义的贡献。