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Endometriosis classification: an update.

机译:子宫内膜异位症分类:更新。

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PURPOSE OF REVIEW: Endometriosis remains an enigmatic disease for many reasons, not the least being a continued inability to stage its clinical presentation so that prognosis and treatment for both pain and infertility patients can be facilitated. This article reviews issues with current staging systems. RECENT FINDINGS: The revised American Fertility Society (rAFS) classification system has historically been the only classification system. Recently, the ENZIAN classification system, developed as an adjunct to the rAFS to describe more severe disease, has been introduced but is rarely used. More recently, the Endometriosis Fertility Index (EFI) that has been validated to predict pregnancy rates in infertility patients following surgical diagnosis and treatment of endometriosis was published. Currently, the AAGL is developing a categorization system that will be more focused on pain. Novel research in imaging, biomarkers, histology, and the human genome may provide useful information to develop future classification systems. SUMMARY: The only validated endometriosis classification system that predicts a clinical outcome is the EFI. It is to be hoped that renewed interest in the importance and utility of classification systems will result in novel classification systems that are clinically useful.
机译:审查目的:子宫内膜异位症仍然是一种神秘疾病,其原因很多,尤其是持续无法分期进行临床表现,从而可以促进疼痛和不育症患者的预后和治疗。本文介绍了当前暂存系统的问题。最新发现:修订后的美国生育协会(rAFS)分类系统历来是唯一的分类系统。最近,已经引入了ENZIAN分类系统,它是rAFS的附件,用于描述更严重的疾病,但很少使用。最近,发表了子宫内膜异位症生育指数(EFI),该指数已被证实可预测通过手术诊断和治疗子宫内膜异位症后的不孕患者的妊娠率。目前,AAGL正在开发一种分类系统,该系统将更加着重于疼痛。在成像,生物标志物,组织学和人类基因组方面的新颖研究可能会为开发未来的分类系统提供有用的信息。简介:唯一可以预测临床结果的经过验证的子宫内膜异位分类系统是EFI。希望人们重新对分类系统的重要性和实用性产生兴趣,将导致产生临床上有用的新型分类系统。

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