• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Programmed Cell Death Ligand 1 Pathologist Training in the Time of COVID-19: Our Experience using a Digital Solution.COVID-19 时期程序性细胞死亡配体 1 病理学家培训:我们使用数字解决方案的经验
J Pathol Inform. 2021 Nov 22;12:47. doi: 10.4103/jpi.jpi_16_21. eCollection 2021.
2
Multi-Field-of-View Deep Learning Model Predicts Nonsmall Cell Lung Cancer Programmed Death-Ligand 1 Status from Whole-Slide Hematoxylin and Eosin Images.多视野深度学习模型从苏木精和伊红全切片图像预测非小细胞肺癌程序性死亡配体1状态
J Pathol Inform. 2019 Jul 23;10:24. doi: 10.4103/jpi.jpi_24_19. eCollection 2019.
3
Development and validation of a supervised deep learning algorithm for automated whole-slide programmed death-ligand 1 tumour proportion score assessment in non-small cell lung cancer.开发和验证一种基于监督深度学习的算法,用于非小细胞肺癌中程序性死亡配体 1 肿瘤比例评分的全自动全切片评估。
Histopathology. 2022 Mar;80(4):635-647. doi: 10.1111/his.14571. Epub 2021 Nov 16.
4
Evaluation of an online training tool for scoring programmed cell death ligand-1 (PD-L1) diagnostic tests for lung cancer.评估用于肺癌程序性死亡配体-1(PD-L1)诊断检测评分的在线培训工具。
Diagn Pathol. 2020 Apr 17;15(1):37. doi: 10.1186/s13000-020-00953-9.
5
Remote Reporting During a Pandemic Using Digital Pathology Solution: Experience from a Tertiary Care Cancer Center.大流行期间使用数字病理解决方案进行远程报告:来自三级医疗癌症中心的经验
J Pathol Inform. 2021 Apr 8;12:20. doi: 10.4103/jpi.jpi_109_20. eCollection 2021.
6
Evaluation of whole slide image immunohistochemistry interpretation in challenging prostate needle biopsies.在具有挑战性的前列腺穿刺活检中对全切片图像免疫组化解读的评估
Hum Pathol. 2008 Apr;39(4):564-72. doi: 10.1016/j.humpath.2007.08.007. Epub 2008 Jan 30.
7
Utilizing Whole Slide Images for Pathology Peer Review and Working Groups.利用全切片图像进行病理学同行评审和工作组工作。
Toxicol Pathol. 2015 Dec;43(8):1149-57. doi: 10.1177/0192623315605933. Epub 2015 Oct 27.
8
Validation of an electronic program for pathologist training in the interpretation of a complex companion diagnostic immunohistochemical assay.用于病理学家培训以解读复杂伴随诊断免疫组化检测的电子程序的验证
Hum Pathol. 2016 Oct;56:194-203. doi: 10.1016/j.humpath.2016.06.013. Epub 2016 Jun 24.
9
The impact of different coverslipping methods in the quality of the whole slide images used for diagnosis in pathology.不同封片方法对病理学诊断所用全玻片图像质量的影响。
J Pathol Inform. 2022 May 23;13:100098. doi: 10.1016/j.jpi.2022.100098. eCollection 2022.
10
Toxicologic Pathology Forum: A Roadmap for Building State-of-the-Art Digital Image Data Resources for Toxicologic Pathology in the Pharmaceutical Industry.毒理学病理学论坛:为制药行业毒理学病理学构建最先进的数字图像数据资源的路线图。
Toxicol Pathol. 2022 Dec;50(8):942-949. doi: 10.1177/01926233221132747. Epub 2022 Nov 5.

本文引用的文献

1
Digital Slides as an Effective Tool for Programmed Death Ligand 1 Combined Positive Score Assessment and Training: Lessons Learned from the "Programmed Death Ligand 1 Key Learning Program in Head-and-Neck Squamous Cell Carcinoma".数字幻灯片作为程序性死亡配体1联合阳性评分评估与培训的有效工具:头颈鳞状细胞癌“程序性死亡配体1关键学习项目”的经验教训
J Pathol Inform. 2021 Jan 8;12:1. doi: 10.4103/jpi.jpi_63_20. eCollection 2021.
2
(Re) Defining the High-Power Field for Digital Pathology.重新定义数字病理学的高倍视野
J Pathol Inform. 2020 Oct 9;11:33. doi: 10.4103/jpi.jpi_48_20. eCollection 2020.
3
Display Characteristics and Their Impact on Digital Pathology: A Current Review of Pathologists' Future "Microscope".显示特征及其对数字病理学的影响:病理学家未来“显微镜”的当前综述
J Pathol Inform. 2020 Aug 11;11:23. doi: 10.4103/jpi.jpi_38_20. eCollection 2020.
4
Whole-Slide Imaging Allows Pathologists to Work Remotely in Regions with Severe Logistical Constraints Due to Covid-19 Pandemic.全玻片成像使病理学家能够在因新冠疫情而面临严重后勤限制的地区远程工作。
J Pathol Inform. 2020 Jul 28;11:20. doi: 10.4103/jpi.jpi_32_20. eCollection 2020.
5
Validation of a digital pathology system including remote review during the COVID-19 pandemic.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。
Mod Pathol. 2020 Nov;33(11):2115-2127. doi: 10.1038/s41379-020-0601-5. Epub 2020 Jun 22.
6
Display evaluation for primary diagnosis using digital pathology.使用数字病理学进行原发性诊断的显示评估。
J Med Imaging (Bellingham). 2020 Mar;7(2):027501. doi: 10.1117/1.JMI.7.2.027501. Epub 2020 Apr 23.
7
Digital Whole Slide Imaging Compared With Light Microscopy for Primary Diagnosis in Surgical Pathology.数字全玻片成像与光学显微镜在外科病理学原发性诊断中的比较。
Arch Pathol Lab Med. 2020 Oct 1;144(10):1245-1253. doi: 10.5858/arpa.2019-0569-OA.
8
Current state of whole slide imaging use in cytopathology: Pros and pitfalls.当前在细胞病理学中应用全玻片成像的现状:优势和陷阱。
Cytopathology. 2020 Sep;31(5):372-378. doi: 10.1111/cyt.12806. Epub 2020 Mar 13.
9
Diagnostic concordance between whole slide imaging and conventional light microscopy in cytopathology: A systematic review.在细胞学诊断中,全玻片成像与传统光学显微镜的诊断一致性:一项系统评价。
Cancer Cytopathol. 2020 Jan;128(1):17-28. doi: 10.1002/cncy.22195. Epub 2019 Oct 10.
10
Comparison of a Medical-Grade Monitor vs Commercial Off-the-Shelf Display for Mitotic Figure Enumeration and Small Object (Helicobacter pylori) Detection.医用级显示器与商用现成显示器在有丝分裂计数和小物体(幽门螺杆菌)检测方面的比较。
Am J Clin Pathol. 2018 Jan 29;149(2):181-185. doi: 10.1093/ajcp/aqx154.

COVID-19 时期程序性细胞死亡配体 1 病理学家培训:我们使用数字解决方案的经验

Programmed Cell Death Ligand 1 Pathologist Training in the Time of COVID-19: Our Experience using a Digital Solution.

作者信息

Hayden Dorothy, Herndon Joseph M, Campion James C, Feng Janine D, Lian Fangru, Baumann Jessica L, Roland Bryan K, ElGabry Ehab A

机构信息

Companion Diagnostics Pathology, Roche Tissue Diagnostics, Tucson, AZ, USA.

Assay and Reagent Development, Roche Tissue Diagnostics, Tucson, AZ, USA.

出版信息

J Pathol Inform. 2021 Nov 22;12:47. doi: 10.4103/jpi.jpi_16_21. eCollection 2021.

DOI:10.4103/jpi.jpi_16_21
PMID:34934522
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8652342/
Abstract

The COVID-19 pandemic presented numerous challenges to the continuity of programmed cell death ligand 1 (PD-L1) assay training events conducted by our organization. Under typical conditions, these training events are face-to-face affairs, where participants are trained to assay algorithms on glass slides during multi-headed scope sessions. Social distancing measures undertaken to slow pandemic spread necessitated the adaptation of our training methods to facilitate assay training and subsequent continuation of clinical trials. The present report details the creation and use of the Roche pathology training portal (PTP) that allowed for remote training to diagnostic assay algorithms. The PTP is a web-based system comprised of a learning management system (LMS) coupled to an image management system (IMS). Whole slide images (WSIs) were produced using a DP200 instrument (Roche, Pleasanton, CA) and these scan files were then uploaded to an IMS. Courses were created on the LMS using annotated WSIs that were shared with enrolled pathologists worldwide during assay training events. These courses culminated in assay certification examinations, where pathologists evaluated test-case WSIs and evaluated these cases within the LMS. Trainee submissions were analyzed for pass/fail status by comparing user data entries with consensus scores on these test-case WSIs. To date, 47 pathologist trainings have occurred and of these, 44 have successfully passed the associated assay certification exam on the first attempt (93% 1-try pass rate). The PTP allowed roche to continue training sites during the COVID-19 pandemic, and these early results demonstrate the capability of this digital solution regarding PD-L1 diagnostic assay training events.

摘要

新型冠状病毒肺炎疫情给本组织开展的程序性细胞死亡配体1(PD-L1)检测培训活动的连续性带来了诸多挑战。在正常情况下,这些培训活动是面对面进行的,参与者在多头显微镜观察过程中接受在载玻片上检测算法的培训。为减缓疫情传播而采取的社交距离措施使得我们必须调整培训方法,以促进检测培训及后续临床试验的继续开展。本报告详细介绍了罗氏病理培训平台(PTP)的创建和使用情况,该平台实现了对诊断检测算法的远程培训。PTP是一个基于网络的系统,由一个学习管理系统(LMS)和一个图像管理系统(IMS)组成。使用DP200仪器(罗氏公司,加利福尼亚州普莱森顿)生成全切片图像(WSIs),然后将这些扫描文件上传到IMS。在LMS上使用带注释的WSIs创建课程,这些课程在检测培训活动期间与全球注册的病理学家共享。这些课程最终以检测认证考试结束,病理学家在考试中评估测试病例的WSIs,并在LMS内对这些病例进行评估。通过将用户数据输入与这些测试病例WSIs的一致评分进行比较,分析学员提交的材料的通过/失败状态。到目前为止,已经进行了47次病理学家培训,其中44人首次成功通过了相关的检测认证考试(一次通过率为93%)。PTP使罗氏公司能够在新型冠状病毒肺炎疫情期间继续开展培训,这些早期结果证明了这种数字解决方案在PD-L1诊断检测培训活动方面的能力。