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#FNAFriday: How cytopathologists learn, teach, and share knowledge on Twitter.
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.
Afiliação
  • Expósito-Afonso IJ; Anatomía Patológica, Hospital Universitario Nuestra Señora de la Candelaria, Rosario, Santa Cruz de Tenerife, Spain.
  • Alcaraz-Mateos E; Department of Pathology, University Hospital Morales Meseguer, Murcia, Spain.
  • Labiano T; Department of Pathology, Complejo Hospitalario de Navarra, Pamplona, Spain.
  • Pijuan L; Department of Pathology, Hospital del Mar, Barcelona, Spain.
  • Temprana-Salvador J; Department of Pathology, Hospital Vall d'Hebron, Barcelona, Spain.
  • Fitzhugh V; Pathology, Immunology, and Laboratory Medicine, University Hospital, E139A, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, New Jersey, USA.
  • Fuller M; Department of Pathology, Children's Hospital, Houston, Texas, USA.
  • Madrigal E; Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Walavalkar V; Department of Cytopathology, UCSF, San Francisco, California, USA.
  • Baloch ZW; Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Jiang XS; Duke Biorepository and Precision Pathology Center, Durham, North Carolina, USA.
Diagn Cytopathol ; 48(8): 706-710, 2020 Aug.
Article em En | MEDLINE | ID: mdl-32400974
BACKGROUND: 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. METHODS: 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. RESULTS: 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%). CONCLUSION: 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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Patologia / Mídias Sociais / Patologistas Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Patologia / Mídias Sociais / Patologistas Idioma: En Ano de publicação: 2020 Tipo de documento: Article