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验证一种数字病理学系统,包括在 COVID-19 大流行期间进行远程审查。

Validation of a digital pathology system including remote review during the COVID-19 pandemic.

机构信息

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.

Warren Alpert Center for Digital and Computational Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.

出版信息

Mod Pathol. 2020 Nov;33(11):2115-2127. doi: 10.1038/s41379-020-0601-5. Epub 2020 Jun 22.

DOI:10.1038/s41379-020-0601-5
PMID:32572154
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7306935/
Abstract

Remote digital pathology allows healthcare systems to maintain pathology operations during public health emergencies. Existing Clinical Laboratory Improvement Amendments regulations require pathologists to electronically verify patient reports from a certified facility. During the 2019 pandemic of COVID-19 disease, caused by the SAR-CoV-2 virus, this requirement potentially exposes pathologists, their colleagues, and household members to the risk of becoming infected. Relaxation of government enforcement of this regulation allows pathologists to review and report pathology specimens from a remote, non-CLIA certified facility. The availability of digital pathology systems can facilitate remote microscopic diagnosis, although formal comprehensive (case-based) validation of remote digital diagnosis has not been reported. All glass slides representing routine clinical signout workload in surgical pathology subspecialties at Memorial Sloan Kettering Cancer Center were scanned on an Aperio GT450 at ×40 equivalent resolution (0.26 µm/pixel). Twelve pathologists from nine surgical pathology subspecialties remotely reviewed and reported complete pathology cases using a digital pathology system from a non-CLIA certified facility through a secure connection. Whole slide images were integrated to and launched within the laboratory information system to a custom vendor-agnostic, whole slide image viewer. Remote signouts utilized consumer-grade computers and monitors (monitor size, 13.3-42 in.; resolution, 1280 × 800-3840 × 2160 pixels) connecting to an institution clinical workstation via secure virtual private network. Pathologists subsequently reviewed all corresponding glass slides using a light microscope within the CLIA-certified department. Intraobserver concordance metrics included reporting elements of top-line diagnosis, margin status, lymphovascular and/or perineural invasion, pathology stage, and ancillary testing. The median whole slide image file size was 1.3 GB; scan time/slide averaged 90 s; and scanned tissue area averaged 612 mm. Signout sessions included a total of 108 cases, comprised of 254 individual parts and 1196 slides. Major diagnostic equivalency was 100% between digital and glass slide diagnoses; and overall concordance was 98.8% (251/254). This study reports validation of primary diagnostic review and reporting of complete pathology cases from a remote site during a public health emergency. Our experience shows high (100%) intraobserver digital to glass slide major diagnostic concordance when reporting from a remote site. This randomized, prospective study successfully validated remote use of a digital pathology system including operational feasibility supporting remote review and reporting of pathology specimens, and evaluation of remote access performance and usability for remote signout.

摘要

远程数字病理学使医疗系统能够在公共卫生紧急情况下维持病理学业务。现有的临床实验室改进修正案法规要求病理学家从经过认证的设施电子验证患者报告。在由 SARS-CoV-2 病毒引起的 2019 年 COVID-19 疾病大流行期间,这一要求可能使病理学家、他们的同事和家庭成员面临感染的风险。政府放宽对该法规的执行,允许病理学家从远程非 CLIA 认证的设施审查和报告病理学标本。数字病理学系统的可用性可以促进远程显微镜诊断,尽管尚未报告对远程数字诊断的正式全面(基于病例)验证。所有代表纪念斯隆凯特琳癌症中心外科病理学亚专业常规临床签出工作量的玻璃载玻片均在 ×40 等效分辨率(0.26μm/像素)的 Aperio GT450 上进行扫描。来自九个外科病理学亚专业的 12 名病理学家使用来自非 CLIA 认证设施的数字病理学系统通过安全连接远程审查和报告完整的病理学病例。全玻片图像集成到实验室信息系统中,并通过自定义供应商不可知的全玻片图像查看器启动。远程签出使用消费级计算机和显示器(显示器尺寸,13.3-42 英寸;分辨率,1280×800-3840×2160 像素)通过安全虚拟专用网络连接到机构临床工作站。病理学家随后使用 CLIA 认证部门内的光学显微镜审查所有相应的载玻片。观察者内一致性指标包括报告一线诊断、边缘状态、淋巴血管和/或周围神经浸润、病理分期和辅助检测的元素。全玻片图像文件的中位数大小为 1.3GB;每张幻灯片的扫描时间平均为 90 秒;扫描组织面积平均为 612mm。签出会议共包括 108 例,由 254 个单独部分和 1196 个载玻片组成。数字和玻璃载玻片诊断之间的主要诊断等效性为 100%;整体一致性为 98.8%(251/254)。本研究报告了在公共卫生紧急情况下从远程站点对完整病理学病例进行主要诊断审查和报告的验证。我们的经验表明,当从远程站点报告时,观察者内数字到玻璃载玻片的主要诊断一致性很高(100%)。这项随机、前瞻性研究成功验证了数字病理学系统的远程使用,包括支持远程审查和报告病理学标本的操作可行性,以及远程访问性能和远程签出可用性的评估。

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