Expósito-Afonso Idaira J, Alcaraz-Mateos Eduardo, Labiano Tania, Pijuan Lara, Temprana-Salvador Jordi, Fitzhugh Valerie, Fuller Maren, Madrigal Emilio, Walavalkar Vighnesh, Baloch Zubair W, Jiang Xiaoyin Sara
Anatomía Patológica, Hospital Universitario Nuestra Señora de la Candelaria, Rosario, Santa Cruz de Tenerife, Spain.
Department of Pathology, University Hospital Morales Meseguer, Murcia, Spain.
Diagn Cytopathol. 2020 Aug;48(8):706-710. doi: 10.1002/dc.24461. Epub 2020 May 13.
Twitter is an expanding social media network among cytopathologists to share knowledge. Tweets are made up of text which may also include images or video. All tweets labeled under a hashtag can be tracked. The #FNAFriday hashtag was created in 2015 by one of the authors (X.J.) to build a community of individuals, to educate and share interesting cases, and highlight a variety of diagnoses with FNA specimens.
We retrospectively extracted all tweets labeled with #FNAFriday from April 2015 to mid-February 2019 (47 mo) using the Twitter search engine. The data point included: author, number of figures, type of cytology-stain, use of immunocytochemistry, histochemistry or molecular techniques, and the subspeciality. The educational content was categorized as: live-tweeting, training activities, and publication references. The number if comments, retweets and likes was also recorded.
A total of 349 original tweets using #FNAFriday were tracked with an average of 7.43 tweets/month. We describe the "top three" countries with most tweets, active users and subspecialties. The most frequent stain was Papanicolau and part of the content of the tweets was using cellblock (14.04%), histologic correlation (10.03%), immunocytochemistry (8.60%), molecular tests (2.01%), gross pictures (4.58%), and radiologic pictures (3.4%).
The presence of cytopathologists on Twitter who want to share their cases has increased. The weekly FNAFriday label with other cytology hashtags is a specific keyword for those interested in the field.
推特是细胞病理学家之间用于分享知识的一个不断发展的社交媒体网络。推文由文本组成,其中也可能包括图像或视频。所有带有主题标签的推文都可以被追踪。#FNAFriday主题标签由作者之一(X.J.)于2015年创建,旨在建立一个群体,进行教育并分享有趣的病例,以及突出通过细针穿刺抽吸(FNA)标本得出的各种诊断。
我们使用推特搜索引擎回顾性提取了2015年4月至2019年2月中旬(47个月)所有带有#FNAFriday标签的推文。数据点包括:作者、图片数量、细胞学染色类型、免疫细胞化学、组织化学或分子技术的使用情况以及亚专业。教育内容分为:现场推文、培训活动和出版物参考文献。还记录了评论、转发和点赞的数量。
共追踪到349条使用#FNAFriday的原创推文,平均每月7.43条推文。我们描述了推文、活跃用户和亚专业最多的“前三个”国家。最常用的染色方法是巴氏染色,推文内容的一部分使用了细胞块(14.04%)、组织学相关性(10.03%)、免疫细胞化学(8.60%)、分子检测(2.01%)、大体图片(4.58%)和放射学图片(3.4%)。
想要分享病例的细胞病理学家在推特上的出现有所增加。每周的#FNAFriday标签以及其他细胞学主题标签是该领域感兴趣者的一个特定关键词。