广州医药 ›› 2020, Vol. 51 ›› Issue (6): 83-85.DOI: 10.3969/j.issn.1000-8535.2020.06.018

• 论著 • 上一篇    下一篇

数字病理技术及数字病理诊断在基层医院的应用

鄢化章   

  1. 广东省阳春市中医院病理科(阳春 529600)
  • 收稿日期:2020-04-30 出版日期:2020-11-20 发布日期:2021-11-28
  • 基金资助:
    2018年度广东省阳江市科技局医疗卫生类科技计划项目(社发[2018]108)

Application of digital pathological technology and digital pathological diagnosis in primary hospitals

YAN Huazhang   

  1. Department of Pathology, Yangchun Hospital of Traditional Chinese Medicine, Yangchun 529600, China
  • Received:2020-04-30 Online:2020-11-20 Published:2021-11-28

摘要: 目的 探讨数字病理技术及数字病理诊断在基层医院的应用。方法 回顾性分析2018年1月—2019年12月两家医院的病理诊断报告共18 688例。将2018年1月—2018年12月病例纳入A组(n=8 400),将2019年1月—2019年12月病例纳入B组(n=10 288)。采用云康远程病理会诊平台,所有病例依次按编号通过扫描绑定到平台软件的对应病例中,由同一位初诊病理医生和不同的远程病理平台专家分别完成初、复诊。通过三审发布专家团队来评价远程病理诊断初诊及复诊的准确率。结果 A组初诊病理医生正确诊断6 569例,准确率78.20%,复审病理医生正确诊断8 215例,准确率97.80%;B组初诊病理医生正确诊断9 444例,准确率91.80%,复审病理医生正确诊断10 102例,准确率98.19%;两组病理诊断中,B组初诊病理医生诊断正确率高于A组初诊病理医生准确率,差异有统计学意义(P<0.05);两组的复审病理医生准确率比较,差异无统计学意义(P>0.05)。结论 日常开展数字病理技术及数字病理诊断可以有效提高基层诊断医生的诊断水平,值得在基层医院广泛和长期应用推广。

关键词: 数字病理技术, 数字病理诊断, 远程协助, 病理学

Abstract: Objective To explore the application of digital pathological technology and digital pathological diagnosis in primary hospitals. Methods A total of 18 688 cases of pathological diagnosis reported in two hospitals from January 2018 to December 2019 were retrospectively analyzed. Cases from January to December 2018 were included in group A (n=8 400), and cases from January to December 2019 were included in group B (n=10 288).Yunkang remote pathology consultation platform was adopted. All cases in turn were scanned and bound to the corresponding cases of the platform software by number. The same pathologist and different remote pathological platform experts completed the preliminary and follow-up respectively, to evaluate the accuracy of remote pathological diagnosis at the first and second diagnosis by releasing the expert team in the third audit. Results In group A, the pathologists correctly diagnosed 6 569 cases, with an accuracy rate of 78.20%, The correct diagnosis rate of 8 215 cases was 97.80%,The primary pathologists in group B correctly diagnosed 9 444 cases, with an accuracy rate of 91.80%.The correct diagnosis rate of 10 102 cases was 98.19%,In the two groups of pathological diagnosis, the diagnostic accuracy rate of pathologists in group B was higher than that in group A.The difference was statistically significant (P <0.05).The accuracy of pathologists in the two groups was compared.The difference was not statistically significant (P >0.05). Conclusion Daily development of digital pathological technology and digital pathological diagnosis can effectively improve the diagnosis level of grassroots doctors. It is worthy of extensive and long-term application in primary hospitals.

Key words: Digital pathology, Digital pathological diagnosis, Remote assistance, Pathology