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A Practical Approach to the Differential Diagnosis of Intracranial Tumors: Gross, Histology, and Immunoprofile-based Algorithm

机译:颅内肿瘤差异诊断的实用方法:总基,组织学和基于免疫力量的算法

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Intracranial tumors are a diverse group of conditions, both benign and malignant, primary and metastatic and always require detailed medical information, radiological reports and deep knowledge of the histological hallmarks and immunohistochemical profile of different types of tumors and tumor-like processes. Despite it clinically often being possible to differentiate between primary and metastatic tumors,?based on the tumor location and age of the patient, histological variants and rare tumor?entries?should always be considered in the histological differential diagnosis. A thorough diagnostic algorithm based on the location of the tumor and its histological features, together with some common pitfalls in immunohistochemical profiling, based on the 2016 revised World Health Organization (WHO) classification of tumors of the central nervous system should be implemented in all cases. Such an algorithm is especially valuable in cases where only small tumor fragments are sent for morphological evaluation, such as in?deep parenchyma tumors. In these instances where only small fragments of the tumor are present for histology, some key features, corresponding to the WHO grade, may easily be missed or underreported. Furthermore, the histological verification of the tumor entry is the first, often overlooked, step in defining the presence or absence of WHO grade-specific mutations.
机译:颅内肿瘤是一种多样化的条件,良性和恶性,主要和转移,并且始终需要详细的医疗信息,放射性报告和对不同类型肿瘤和肿瘤样方法的免疫组化学概况。尽管临床上经常有可能区分原发性和转移性肿瘤,?基于患者的肿瘤位置和年龄,组织学变体和稀有肿瘤?条目?应始终考虑组织学鉴别诊断。基于肿瘤位置及其组织学特征的一种彻底诊断算法,与免疫组化分析中的一些常见缺陷在一起,基于2016年修订的世界卫生组织(世卫组织)在所有情况下都应实施中枢神经系统肿瘤的分类。这种算法在仅发送小肿瘤片段以进行形态学评估的情况下尤其有价值,例如在?深层实质肿瘤中。在这些实例中,只有组织学存在肿瘤的小片段,可能很容易错过或遭到对应于世卫组人的关键特征。此外,肿瘤进入的组织学验证是首先忽略的第一步,介绍定义何人等级突变的存在或不存在。

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