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诊断骨髓炎:病理学家的组织学指南

Diagnosing Osteomyelitis: A Histology Guide for Pathologists.

作者信息

Sybenga Amelia B, Jupiter Daniel C, Speights V O, Rao Arundhati

机构信息

Clinical Fellow, Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN.

Associate Professor, Department of Preventive Medicine and Community Health, Department of Orthopaedic Surgery and Rehabilitation, The University of Texas Medical Branch, Galveston, TX.

出版信息

J Foot Ankle Surg. 2020 Jan-Feb;59(1):75-85. doi: 10.1053/j.jfas.2019.06.007. Epub 2019 Nov 19.

Abstract

Histopathologic examination of bone specimens coupled with bone culture is considered the gold standard for the diagnosis of osteomyelitis (OM). Despite this, studies have demonstrated interpathologist agreement in the diagnosis of OM as low as 30%, largely stemming from a lack of specific definitions and diagnostic criteria. Review of the literature has provided insight into the lifecycle of OM, illustrating the histologic progression of OM phases from acute to chronic, and provides support for defining subcategories of OM. Using an algorithmic histopathologic tool consisting of 15 criteria, each with an associated score, we defined 5 categories of OM: (1) acute OM, (2) acute and chronic OM, (3) chronic OM, (4) chronic active OM, and (5) chronic inactive OM. We reviewed 462 microscopic slides from 263 patients with suspected OM, and for each slide, we determined an algorithm-derived diagnosis, which was then used to calculate a total histopathologic load score (Jupiter score). Algorithm-derived diagnoses recapitulated original clinical diagnoses and diagnosed cases as OM that had not been originally diagnoses. These novel cases were more likely to have subsequent clinical complications. Finally, pathologic load scores were assessed for association with the category of OM.

摘要

骨标本的组织病理学检查结合骨培养被认为是骨髓炎(OM)诊断的金标准。尽管如此,研究表明病理学家之间对OM诊断的一致性低至30%,这主要源于缺乏具体的定义和诊断标准。文献综述为OM的生命周期提供了见解,阐明了OM从急性到慢性阶段的组织学进展,并为定义OM的子类别提供了支持。我们使用一种由15项标准组成的算法组织病理学工具,每项标准都有相关分数,定义了5类OM:(1)急性OM,(2)急性和慢性OM,(3)慢性OM,(4)慢性活动性OM,以及(5)慢性非活动性OM。我们回顾了263例疑似OM患者的462张显微切片,对每张切片确定了算法得出的诊断,然后用该诊断计算总组织病理学负荷评分(朱庇特评分)。算法得出的诊断与原始临床诊断相符,并诊断出了原本未被诊断为OM的病例。这些新病例更有可能出现后续临床并发症。最后,评估病理负荷评分与OM类别的相关性。

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