Variation within and between digital pathology and light microscopy for the diagnosis of histopathology slides: blinded crossover comparison study.

IF 3.5 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
David Rj Snead, Ayesha S Azam, Jenny Thirlwall, Peter Kimani, Louise Hiller, Adam Bickers, Clinton Boyd, David Boyle, David Clark, Ian Ellis, Kishore Gopalakrishnan, Mohammad Ilyas, Paul Kelly, Maurice Loughrey, Desley Neil, Emad Rakha, Ian Sd Roberts, Shatrughan Sah, Maria Soares, YeeWah Tsang, Manuel Salto-Tellez, Helen Higgins, Donna Howe, Abigail Takyi, Yan Chen, Agnieszka Ignatowicz, Jason Madan, Henry Nwankwo, George Partridge, Janet Dunn
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Prior to adoption, it is important to demonstrate pathologists provide equivalent reports when using digital pathology in comparison to bright-field and immunofluorescent light microscopy, the current standard of care.</p><p><strong>Objective: </strong>A multicentre comparison of digital pathology with light microscopy for reporting of histopathology slides, measuring variation within and between pathologists on both modalities.</p><p><strong>Design: </strong>A blinded crossover 2000-case study estimating clinical management concordance (identical diagnoses plus differences not affecting patient management). Each sample was assessed twice by four pathologists (once using light microscopy, once using digital pathology, the order randomly assigned and a 6-week gap between viewings). Random-effects logistic regression models, including crossed random-effects terms for case and pathologist, estimated percentage clinical management concordance. 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引用次数: 0

Abstract

Background: Digital pathology refers to the conversion of histopathology slides to digital image files for examination on computer workstations as opposed to conventional microscopes. Prior to adoption, it is important to demonstrate pathologists provide equivalent reports when using digital pathology in comparison to bright-field and immunofluorescent light microscopy, the current standard of care.

Objective: A multicentre comparison of digital pathology with light microscopy for reporting of histopathology slides, measuring variation within and between pathologists on both modalities.

Design: A blinded crossover 2000-case study estimating clinical management concordance (identical diagnoses plus differences not affecting patient management). Each sample was assessed twice by four pathologists (once using light microscopy, once using digital pathology, the order randomly assigned and a 6-week gap between viewings). Random-effects logistic regression models, including crossed random-effects terms for case and pathologist, estimated percentage clinical management concordance. Findings were interpreted with reference to 98.3% concordance (Azam AS, Miligy IM, Kimani PKU, Maqbool H, Hewitt K, Rajpoot NM, Snead DRJ. Diagnostic concordance and discordance in digital pathology: a systematic review and meta-analysis. J Clin Pathol 2021;74:448-55. https://doi.org/10.1136/jclinpath-2020-206764).

Setting: Sixteen consultant pathologists, four for each specialty, from six National Health Service laboratories. Experience ranged from 3 to 35 years. Some were early adopters of digital pathology, but the majority were new to digital pathology.

Interventions: Eight viewings per sample (four pathologists with light microscopy and with digital pathology), culminating in a consensus ground truth, enabling measurement of agreement within and between readers. Samples enrolled reflected routine practice, included cancer screening biopsies, and were enriched for areas of difficulty [e.g. dysplasia (7, 10, 11)]. State-of-the-art digital pathology equipment designed for diagnosis, and holding either Conformité Européene or Food and Drug Administration approval, was used.

Main outcome: Intra-pathologist variation between reports issued on digital pathology and light microscopy, inter-pathologist variation against ground-truth diagnosis using light microscopy and digital pathology.

Secondary outcomes: Pathologist-recorded reporting times, along with their confidence in diagnosis, analysis of eye-tracking evaluating examination techniques, and a qualitative study examining attitudes of pathologists and laboratory staff to digital pathology adoption.

Results: Two thousand and twenty-four cases (608 breast, 607 gastrointestinal, 609 skin, 200 renal) were recruited, with breast and gastrointestinal including screening samples [207 (34%) breast, 250 (41%) gastrointestinal]. Overall, in light microscopy versus digital pathology comparisons, clinical management concordance levels were 99.95% (95% confidence interval 99.91 to 99.97). Similar results were observed within specialties [breast: 99.40% (95% confidence interval 99.06 to 99.62); gastrointestinal 99.96% (95% confidence interval 99.89 to 99.99); skin 99.99% (95% confidence interval 99.92 to 100.0); renal 99.99% (95% confidence interval 99.57 to 100.0)], and within screening cases [98.96% (95% confidence interval 98.42 to 99.32), breast 96.27% (94.63 to 97.43), gastrointestinal 99.93% (95% confidence interval 99.68 to 99.98)]. Reporting time between digital pathology and light microscopy was similar, but pathologists became faster on digital pathology with familiarity. Pathologists recorded high levels of confidence in their diagnosis with light microscopy, significantly higher than digital pathology.

Limitations: Cytology cases and specialty groups outside those tested were not examined. The study used two digital pathology scanning systems. Other systems available on the market were not tested.

Conclusions: Clinical management concordance levels between the two modalities exceed the reference 98.3% in breast, gastrointestinal, skin and renal specialties, and pooled breast and large bowel cancer screening cases. Subgroup analysis of clinically significant differences revealed a range of differences including areas where interobserver variability is known to be high, which were distributed between reads performed with both platforms and without apparent trends to either.

Future work: The use of digital pathology for cytology samples remains an area for further research.

Study registration: This study is registered as ISRCTN14513591.

Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 17/84/07) and is published in full in Health Technology Assessment; Vol. 29, No. 30. See the NIHR Funding and Awards website for further award information.

组织病理学切片诊断中数字病理与光学显微镜之间的差异:盲法交叉比较研究。
背景:数字病理学是指将组织病理切片转换为数字图像文件,以便在计算机工作站进行检查,而不是传统的显微镜。在采用之前,重要的是要证明病理学家在使用数字病理学时提供与明场和免疫荧光光显微镜(目前的护理标准)相同的报告。目的:多中心比较数字病理与光学显微镜报告组织病理切片,测量病理学家内部和之间的差异。设计:一项2000例的盲法交叉研究,估计临床管理一致性(相同的诊断加上不影响患者管理的差异)。每个样本由四名病理学家评估两次(一次使用光学显微镜,一次使用数字病理学,顺序随机分配,检查间隔6周)。随机效应逻辑回归模型,包括病例和病理学家的交叉随机效应术语,估计临床管理一致性百分比。结果参照98.3%的一致性进行解释(Azam AS, mily IM, Kimani PKU, Maqbool H, Hewitt K, Rajpoot NM, Snead DRJ)。数字病理学诊断一致性和不一致性:系统回顾和荟萃分析。中华临床医学杂志(英文版);2009;44(4):444 - 444。https://doi.org/10.1136/jclinpath-2020-206764).Setting: 16名咨询病理学家,每个专业4名,来自6个国家卫生服务实验室。经验从3年到35年不等。有些是数字病理学的早期采用者,但大多数是数字病理学的新手。干预措施:每个样本8次查看(4名病理学家使用光学显微镜和数字病理学),最终达成共识的基本事实,从而能够测量读者内部和读者之间的一致性。纳入的样本反映了常规做法,包括癌症筛查活检,并对困难的领域进行了充实[例如,发育不良(7,10,11)]。用于诊断的最先进的数字病理设备,并持有conformit europ或食品和药物管理局的批准。主要结果:病理学家内部对数字病理学和光学显微镜报告的差异,病理学家之间对使用光学显微镜和数字病理学的真实诊断的差异。次要结果:病理学家记录的报告时间,以及他们对诊断的信心,眼动追踪评估检查技术的分析,以及一项关于病理学家和实验室工作人员对数字病理学采用态度的定性研究。结果:共纳入2424例(乳腺608例,胃肠道607例,皮肤609例,肾脏200例),其中乳腺和胃肠道包括筛查样本[乳腺207例(34%),胃肠道250例(41%)]。总体而言,在光学显微镜与数字病理学比较中,临床管理一致性水平为99.95%(95%置信区间为99.91至99.97)。在各专科也观察到类似的结果[乳腺:99.40%(95%可信区间为99.06 ~ 99.62);胃肠道99.96%(95%置信区间为99.89 ~ 99.99);皮肤99.99%(95%置信区间99.92 ~ 100.0);肾脏99.99%(95%可信区间99.57 ~ 100.0),在筛查病例中[98.96%(95%可信区间98.42 ~ 99.32),乳腺96.27%(94.63 ~ 97.43),胃肠道99.93%(95%可信区间99.68 ~ 99.98)]。数字病理和光学显微镜之间的报告时间相似,但病理学家对数字病理的熟悉程度提高了。病理学家记录了高水平的信心,他们的诊断与光学显微镜,明显高于数字病理学。局限性:细胞学病例和专业组之外的测试没有检查。该研究使用了两种数字病理扫描系统。市场上可用的其他系统没有经过测试。结论:在乳腺、胃肠道、皮肤和肾脏专科以及合并乳腺癌和大肠癌筛查病例中,两种方式的临床管理一致性水平超过参考值98.3%。临床显著差异的亚组分析揭示了一系列差异,包括已知观察者间变异性较高的区域,这些差异分布在使用两种平台进行的读取之间,并且没有明显的趋势。未来工作:对细胞学样本使用数字病理学仍是一个有待进一步研究的领域。研究注册:本研究注册号为ISRCTN14513591。资助:该奖项由美国国立卫生与保健研究所(NIHR)卫生技术评估项目(NIHR奖号:17/84/07)资助,全文发表在《卫生技术评估》杂志上;第29卷,第30期有关进一步的奖励信息,请参阅美国国立卫生研究院资助和奖励网站。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Health technology assessment
Health technology assessment 医学-卫生保健
CiteScore
6.90
自引率
0.00%
发文量
94
审稿时长
>12 weeks
期刊介绍: Health Technology Assessment (HTA) publishes research information on the effectiveness, costs and broader impact of health technologies for those who use, manage and provide care in the NHS.
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