Identification of Hürthle cell cancers: solving a clinical challenge with genomic sequencing and a trio of machine learning algorithms

BACKGROUND: Identification of Hürthle cell cancers by non-operative fine-needle aspiration biopsy (FNAB) of thyroid nodules is challenging. Resultingly, non-cancerous Hürthle lesions were conventionally distinguished from Hürthle cell cancers by histopathological examination of tissue following surg...

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Библиографические подробности
Опубликовано в: :BMC Syst Biol
Главные авторы: Hao, Yangyang, Duh, Quan-Yang, Kloos, Richard T., Babiarz, Joshua, Harrell, R. Mack, Traweek, S. Thomas, Kim, Su Yeon, Fedorowicz, Grazyna, Walsh, P. Sean, Sadow, Peter M., Huang, Jing, Kennedy, Giulia C.
Формат: Artigo
Язык:Inglês
Опубликовано: BioMed Central 2019
Предметы:
Research
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6450053/
https://ncbi.nlm.nih.gov/pubmed/30952205
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12918-019-0693-z
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