Emory University, Atlanta, Georgia.
University of Alberta, Edmonton, Canada.
Am J Transplant. 2020 Sep;20(9):2392-2399. doi: 10.1111/ajt.15850. Epub 2020 Apr 19.
The Banff Digital Pathology Working Group (DPWG) was formed in the time leading up to and during the joint American Society for Histocompatibility and Immunogenetics/Banff Meeting, September 23-27, 2019, held in Pittsburgh, Pennsylvania. At the meeting, the 14th Banff Conference, presentations directly and peripherally related to the topic of "digital pathology" were presented; and discussions before, during, and after the meeting have resulted in a list of issues to address for the DPWG. Included are practice standardization, integrative approaches for study classification, scoring of histologic parameters (eg, interstitial fibrosis and tubular atrophy and inflammation), algorithm classification, and precision diagnosis (eg, molecular pathways and therapeutics). Since the meeting, a survey with international participation of mostly pathologists (81%) was conducted, showing that whole slide imaging is available at the majority of centers (71%) but that artificial intelligence (AI)/machine learning was only used in ≈12% of centers, with a wide variety of programs/algorithms employed. Digitalization is not just an end in itself. It also is a necessary precondition for AI and other approaches. Discussions at the meeting and the survey highlight the unmet need for a Banff DPWG and point the way toward future contributions that can be made.
班夫数字病理学工作组(DPWG)是在 2019 年 9 月 23 日至 27 日于宾夕法尼亚州匹兹堡举行的美国组织相容性和免疫遗传学协会/班夫会议之前和期间成立的。在会议上,第 14 届班夫会议提出了与“数字病理学”主题直接和间接相关的演讲;并且在会议之前、期间和之后的讨论产生了 DPWG 需要解决的一系列问题。其中包括实践标准化、研究分类的综合方法、组织学参数的评分(例如,间质纤维化和肾小管萎缩和炎症)、算法分类和精确诊断(例如,分子途径和治疗)。自会议以来,对大多数病理学家(81%)进行了一项具有国际参与的调查,结果表明大多数中心(71%)都可以进行全幻灯片成像,但只有约 12%的中心使用人工智能(AI)/机器学习,并且使用了各种程序/算法。数字化不仅仅是本身的目的。它也是 AI 和其他方法的必要前提。会议上的讨论和调查突出表明,需要建立一个班夫 DPWG,为未来可以做出的贡献指明方向。