换一批Diagnosis of Burkitt lymphoma using an algorithmic approach--applicable in both resource-poor and resource-rich countries.
第一作者：
Kikkeri N,Naresh
第一单位：
Department of Histopathology, Hammersmith Hospital Campus, Imperial College, London, UKDepartment of Human Pathology and Oncology, University of Siena, Siena, ItalyUniv Paris-Sud, F-94270, Le Kremlin-Bicêtre; AP-HP, Hôpital Bicêtre, Service d'Hématologie et Immunologie Biologiques, Cytogénétique, F-94270, Le Kremlin Bicêtre, FranceDepartment of Haematology, Hammersmith Hospital Campus, Imperial College, London, UKSaint Mary Hospital, Lacor, Gulu, UgandaUniversity of NairobiNairobi HospitalAga Khan University Hospital, Nairobi, KenyaMuhimbili National HospitalMuhimbili University of Health and Allied Sciences, Dar Es Salam, TanzaniaInternational Network for Cancer Treatment and Research, Brussels, BelgiumDepartment of Histopathology, Faculty of Medicine, Mansoura University, Egypt.
作者：
医学主题词
成年人(Adult);算法(Algorithms);伯基特淋巴瘤(Burkitt Lymphoma);儿童(Child);决策支持技术(Decision Support Techniques);诊断, 鉴别(Diagnosis, Differential);基因表达谱(Gene Expression Profiling);卫生资源(Health Resources);人类(Humans);免疫表型分型(Immunophenotyping);原位杂交, 荧光(In Situ Hybridization, Fluorescence);淋巴瘤, 大B细胞, 弥漫性(Lymphoma, Large B-Cell, Diffuse)
DOI
10.1111/j.1365-2141.2011.08771.x
PMID
21718280
发布时间
2019-12-10
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