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一种用于 NK 和 T 细胞淋巴瘤诊断的算法方法。

An algorithmic approach to the diagnosis of NK and T cell lymphomas.

机构信息

Department of Pathology, Singapore General Hospital, Singapore.

出版信息

Pathology. 2011 Dec;43(7):673-81. doi: 10.1097/PAT.0b013e32834bf5d2.

DOI:10.1097/PAT.0b013e32834bf5d2
PMID:22002116
Abstract

Lymphomas of natural killer (NK) and T cell lineages are uncommon disorders, although as a group they are more usually encountered in Asia compared to Western populations. In part due to their rarity, diagnosis and classification of T cell lymphomas often pose a challenge to clinicians and pathologists. Although there are morphological features that are characteristic of certain subtypes, correct classification of NK and T cell neoplasms relies heavily on the immunophenotype. With few exceptions, non-random genetic alterations such as translocations are less often seen in T cell neoplasms, adding to the diagnostic difficulty. Given these limitations, pathological diagnosis and classification of NK and T cell lymphomas are anything but straightforward. This paper attempts to present a practical algorithmic approach for the general pathologist who is confronted with these neoplasms.

摘要

自然杀伤 (NK) 细胞和 T 细胞谱系淋巴瘤是不常见的疾病,尽管与西方人群相比,它们在亚洲更为常见。部分由于其罕见性,T 细胞淋巴瘤的诊断和分类常常对临床医生和病理学家构成挑战。尽管存在某些亚型特有的形态学特征,但 NK 和 T 细胞肿瘤的正确分类在很大程度上依赖于免疫表型。除了少数例外情况,非随机的遗传改变,如易位,在 T 细胞肿瘤中较少见,这增加了诊断的难度。鉴于这些局限性,NK 和 T 细胞淋巴瘤的病理诊断和分类绝非易事。本文试图为遇到这些肿瘤的普通病理学家提供一种实用的算法方法。

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An algorithmic approach to the diagnosis of NK and T cell lymphomas.一种用于 NK 和 T 细胞淋巴瘤诊断的算法方法。
Pathology. 2011 Dec;43(7):673-81. doi: 10.1097/PAT.0b013e32834bf5d2.
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[Classification and differential diagnosis of NK/T-cell lymphomas].[NK/T细胞淋巴瘤的分类与鉴别诊断]
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