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通过机器人显微镜和虚拟玻片远程病理学进行原发性冰冻切片诊断:大学健康网络的经验。

Primary frozen section diagnosis by robotic microscopy and virtual slide telepathology: the University Health Network experience.

作者信息

Evans Andrew J, Chetty Runjan, Clarke Blaise A, Croul Sidney, Ghazarian Danny M, Kiehl Tim-Rasmus, Perez Ordonez Bayardo, Ilaalagan Suganthi, Asa Sylvia L

机构信息

Department of Pathology Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada.

出版信息

Hum Pathol. 2009 Aug;40(8):1070-81. doi: 10.1016/j.humpath.2009.04.012. Epub 2009 Jun 21.

Abstract

Although telepathology (TP) has not been widely implemented for primary frozen section diagnoses, interest in its use is growing as we move into an age of increasing subspecialization and centralization of pathology services. University Health Network is a 3-site academic institution in downtown Toronto. The pathology department is consolidated at its Toronto General Hospital (TGH) site. The Toronto Western Hospital (TWH), located 1 mile to west of TGH, has no on-site pathologist, and generates 5 to 10 frozen section cases per week. More than 95% of these frozen sections are submitted by neurosurgeons, in most cases to confirm the presence of lesional tissue and establish a tissue diagnosis. In 2004, we implemented a robotic microscopy (RM) TP system to cover these frozen sections. In 2006, we changed to a virtual slide (VS) TP system. Between November 2004 and September 2006, 350 primary frozen section diagnoses were made by RM. An additional 633 have been reported by VS TP since October 2006, giving a total of 983 frozen sections from 790 patients. Of these cases, 88% have been single specimens with total turnaround times averaging 19.98 and 15.68 minutes per case by RM and VS TP, respectively (P < .0001). Pathologists required an average of 9.65 minutes to review a slide by RM. This decreased 4-fold to 2.25 minutes after the change to VS TP (P < .00001). Diagnostic accuracy has been 98% with both modalities, and our overall deferral rate has been 7.7%. Midcase technical failure has occurred in 3 cases (0.3%) resulting in a delay, where a pathologist went to TWH to report the frozen section. Discrepant cases have typically involved minor interpretive errors related to tumor type. None of our discrepant TP diagnoses has had clinical impact to date. We have found TP to be reliable and accurate for frozen section diagnoses. In addition to its superior speed and image quality, the VS approach readily facilitates consultation with colleagues on difficult cases. As a result, there has been greater overall pathologist satisfaction with VS TP.

摘要

尽管远程病理学(TP)尚未广泛应用于原发性冰冻切片诊断,但随着我们进入病理学服务日益专业化和集中化的时代,对其应用的兴趣正在增加。大学健康网络是多伦多市中心的一家拥有三个院区的学术机构。病理科集中在其多伦多总医院(TGH)院区。位于TGH以西1英里处的多伦多西部医院(TWH)没有现场病理学家,每周产生5至10例冰冻切片病例。这些冰冻切片中超过95%是由神经外科医生提交的,大多数情况下是为了确认病变组织的存在并进行组织诊断。2004年,我们实施了机器人显微镜(RM)TP系统来处理这些冰冻切片。2006年,我们更换为虚拟切片(VS)TP系统。在2004年11月至2006年9月期间,通过RM做出了350例原发性冰冻切片诊断。自2006年10月以来,VS TP又报告了另外633例,共有来自790名患者的983例冰冻切片。在这些病例中,88%为单个标本,RM和VS TP的平均总周转时间分别为每例19.98分钟和15.68分钟(P < .0001)。病理学家通过RM审查一张切片平均需要9.65分钟。更换为VS TP后,这一数字下降了4倍,至2.25分钟(P < .00001)。两种方式的诊断准确率均为98%,我们的总体延迟率为7.7%。有3例(0.3%)发生了术中技术故障导致延迟,在此期间病理学家前往TWH报告冰冻切片。存在差异的病例通常涉及与肿瘤类型相关的轻微解释性错误。迄今为止,我们所有存在差异的TP诊断均未产生临床影响。我们发现TP对于冰冻切片诊断是可靠且准确的。除了其卓越的速度和图像质量外,VS方法还便于就疑难病例与同事进行会诊。因此,病理学家对VS TP的总体满意度更高。

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