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一种用于淋巴增殖性疾病免疫组织学分类的系统方法。

A systematic approach to the immunohistologic classification of lymphoproliferative disorders.

作者信息

Sheibani K, Winberg C

机构信息

James Irvine Center for the Study of Leukemia and Lymphomas, City of Hope National Medical Center, Duarte, California 91010.

出版信息

Hum Pathol. 1987 Oct;18(10):1051-62. doi: 10.1016/s0046-8177(87)80222-8.

Abstract

From the study of over 3,000 immunologically well characterized cases, we have developed a systematic approach for the immunohistologic evaluation of lymphoproliferative disorders (LPD). By using a basic screening panel of antibodies on fresh-frozen sections, LPD can be reliably immunophenotyped. Fourteen patterns of immunoreactivity have been identified that can be used in differential diagnosis and the establishment of the correct diagnosis. A comprehensive table has been developed for systematically recording for each case the results of immunohistologic evaluation of fresh-frozen sections. The information recorded is easily computerized for later studies of large numbers of cases. We also propose a strategy for the further characterization of rare cases that are not easily defined with the basic screening panel of immunologic reagents. The proposed systematic approach allows the rapid recognition of the predominant immunologic pattern, the determination of the differential diagnoses, and the establishment of the correct diagnosis. In many cases, the final diagnosis can be predicted on the basis of patterns of immunoreactivity in the fresh-frozen section prior to the evaluation of the paraffin-embedded histologic material. Moreover, this systematic approach may provide an additional method to classify LPD more precisely and reproducibly.

摘要

通过对3000多例免疫特征明确的病例进行研究,我们开发了一种用于淋巴增殖性疾病(LPD)免疫组织学评估的系统方法。通过在新鲜冷冻切片上使用一组基本的抗体进行筛查,LPD能够可靠地进行免疫表型分析。已确定了14种免疫反应模式,可用于鉴别诊断和正确诊断的确立。已制定了一个综合表格,用于系统记录每个病例新鲜冷冻切片的免疫组织学评估结果。所记录的信息易于计算机化,以便日后对大量病例进行研究。我们还提出了一种策略,用于进一步表征那些使用基本免疫试剂筛查小组难以明确的罕见病例。所提出的系统方法能够快速识别主要的免疫模式,确定鉴别诊断,并确立正确的诊断。在许多情况下,在评估石蜡包埋的组织学材料之前,基于新鲜冷冻切片中的免疫反应模式就可以预测最终诊断。此外,这种系统方法可能会提供一种额外的方法,以更精确和可重复的方式对LPD进行分类。

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