PDF(Pubmed)
Abstract：
UNASSIGNED: Digital pathology solutions are increasingly implemented for primary diagnostics in departments of pathology around the world. This has sparked a growing engagement on validation studies to evaluate the diagnostic performance of whole slide imaging (WSI) regarding safety, reliability, and accuracy. The aim of this review was to evaluate the performance of digital pathology for diagnostic purposes compared to light microscopy (LM) in human pathology, based on validation studies designed to assess such technologies.
UNASSIGNED: In this systematic review based on PRISMA guidelines, we analyzed validation studies of WSI compared with LM. We included studies of diagnostic performance of WSI regarding diagnostic test accuracy (DTA) indicators, degree of overdiagnosis, diagnostic concordance, and observer variability as a secondary outcome. Overdiagnosis is (for example) detecting a pathological condition that will either not progress or progress very slowly. Thus, the patient will never get symptoms from this condition and the pathological condition will never be the cause of death. From a search comprising four databases: PubMed, EMBASE, Cochrane Library, and Web of Science, encompassing the period 2010-2021, we selected and screened 12 peer-reviewed articles that fulfilled our selection criteria. Risk of bias was conducted through QUADAS-2 tool, and data analysis and synthesis were performed in a qualitative format.
UNASSIGNED: We found that diagnostic performance of WSI was not inferior to LM for DTA indicators, concordance, and observer variability. The degree of overdiagnosis was not explicitly reported in any of the studies, while the term itself was used in one study and could be implicitly calculated in another.
UNASSIGNED: WSI had an overall high diagnostic accuracy based on traditional accuracy measurements; however, the degree of overdiagnosis is unknown.
UNASSIGNED: In this systematic review based on PRISMA guidelines, we analyzed validation studies of WSI compared with LM. We included studies of diagnostic performance of WSI regarding diagnostic test accuracy (DTA) indicators, degree of overdiagnosis, diagnostic concordance, and observer variability as a secondary outcome. Overdiagnosis is (for example) detecting a pathological condition that will either not progress or progress very slowly. Thus, the patient will never get symptoms from this condition and the pathological condition will never be the cause of death. From a search comprising four databases: PubMed, EMBASE, Cochrane Library, and Web of Science, encompassing the period 2010-2021, we selected and screened 12 peer-reviewed articles that fulfilled our selection criteria. Risk of bias was conducted through QUADAS-2 tool, and data analysis and synthesis were performed in a qualitative format.
UNASSIGNED: We found that diagnostic performance of WSI was not inferior to LM for DTA indicators, concordance, and observer variability. The degree of overdiagnosis was not explicitly reported in any of the studies, while the term itself was used in one study and could be implicitly calculated in another.
UNASSIGNED: WSI had an overall high diagnostic accuracy based on traditional accuracy measurements; however, the degree of overdiagnosis is unknown.
摘要：
UASSIGNED：数字病理学解决方案越来越多地应用于世界各地病理学部门的初级诊断。这引发了越来越多的验证研究，以评估整个载玻片成像（WSI）在安全性方面的诊断性能，可靠性,和准确性。这篇综述的目的是评估数字病理学的诊断目的，与人类病理学中的光学显微镜（LM）相比，基于旨在评估此类技术的验证研究。
UNASSIGNED：在基于PRISMA指南的系统审查中，我们分析了WSI与LM的验证研究。我们纳入了WSI关于诊断测试准确性(DTA)指标的诊断性能研究，过度诊断的程度，诊断一致性，和观察者变异性作为次要结果。过度诊断是(例如)检测不会进展或进展非常缓慢的病理状况。因此，患者永远不会从这种情况中得到症状，病理状况永远不会成为死亡原因。从包含四个数据库的搜索：PubMed，EMBASE,科克伦图书馆,和WebofScience,在2010-2021年期间，我们选择并筛选了12篇符合我们选择标准的同行评审文章。偏差风险通过QUADAS-2工具进行，并以定性格式进行数据分析和综合。
UNASSIGNED：我们发现，对于DTA指标，WSI的诊断性能不逊于LM，和谐，和观察者的可变性。在任何研究中都没有明确报告过度诊断的程度，而该术语本身在一项研究中使用，可以在另一项研究中隐式计算。
UNASSIGNED：基于传统的准确性测量，WSI具有整体较高的诊断准确性；然而，过度诊断的程度未知.
UNASSIGNED：在基于PRISMA指南的系统审查中，我们分析了WSI与LM的验证研究。我们纳入了WSI关于诊断测试准确性(DTA)指标的诊断性能研究，过度诊断的程度，诊断一致性，和观察者变异性作为次要结果。过度诊断是(例如)检测不会进展或进展非常缓慢的病理状况。因此，患者永远不会从这种情况中得到症状，病理状况永远不会成为死亡原因。从包含四个数据库的搜索：PubMed，EMBASE,科克伦图书馆,和WebofScience,在2010-2021年期间，我们选择并筛选了12篇符合我们选择标准的同行评审文章。偏差风险通过QUADAS-2工具进行，并以定性格式进行数据分析和综合。
UNASSIGNED：我们发现，对于DTA指标，WSI的诊断性能不逊于LM，和谐，和观察者的可变性。在任何研究中都没有明确报告过度诊断的程度，而该术语本身在一项研究中使用，可以在另一项研究中隐式计算。
UNASSIGNED：基于传统的准确性测量，WSI具有整体较高的诊断准确性；然而，过度诊断的程度未知.
