Histopathology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
Faculty of Medicine and Health, University of Leeds, Leeds, UK.
J Clin Pathol. 2021 Jul;74(7):456-461. doi: 10.1136/jclinpath-2019-206343. Epub 2020 Mar 5.
To train and individually validate the neuropathologists in digital primary diagnosis and frozen section reporting using a novel protocol endorsed by the Royal College of Pathologists. The protocol allows early exposure to live digital reporting in a risk mitigated environment.
Two specialist neuropathologists completed training in the use of a digital microscopy system for primary neuropathological diagnosis and frozen section assessment. Participants were exposed to training sets of 20 histology cases and 10 frozen sections designed to help them identify their personal digital diagnostic pitfalls. Following this, the pathologists viewed 340 live, complete neuropathology cases. All primary diagnoses were made on digital slides with immediate glass slide reconciliation before final case sign-out.
There was 100% clinical concordance between the digital slide and glass slide assessment of frozen section cases for each pathologist, and these assessments corresponded with the ground truth diagnoses obtained from examination of definitive histology. For primary diagnosis, there was complete clinical concordance between digital slide and glass slide diagnosis in 98.1% of cases. The majority of discordances were related to grading differences attributable to mitotic count differences.
Neuropathologists can develop the ability to make primary digital diagnosis competently and confidently following a course of individual training and validation.
使用皇家病理学院认可的新方案,对神经病理学家进行数字初步诊断和冷冻切片报告的培训和个体验证。该方案允许在风险缓解的环境中尽早接触实时数字报告。
两名专科神经病理学家接受了使用数字显微镜系统进行神经病理学初步诊断和冷冻切片评估的培训。参与者接触了 20 个组织学病例和 10 个冷冻切片的培训集,旨在帮助他们发现个人数字诊断中的陷阱。之后,病理学家观察了 340 例完整的神经病理学病例。所有的初步诊断都是在数字幻灯片上做出的,并在最终病例签发前立即进行玻璃幻灯片核对。
每位病理学家的冷冻切片数字幻灯片和玻璃幻灯片评估之间均达到 100%的临床一致性,这些评估与从明确组织学检查获得的实际诊断相符。对于初步诊断,数字幻灯片和玻璃幻灯片诊断之间有 98.1%的病例完全临床一致。大多数不一致是由于有丝分裂计数差异导致的分级差异所致。
神经病理学家在接受个人培训和验证后,可以熟练和自信地进行数字初步诊断。