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Benign mimickers and potential precursors of prostatic adenocarcinoma

机译:良性隐睾和前列腺腺癌的潜在前体

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The diagnosis of prostatic adenocarcinoma (PCa) in needle biopsy, especially when present in small amounts, is often challenging. Before making a malignant diagnosis, it is imperative to consider and rule out various benign processes that can simulate cancer. A useful method of classifying benign mimickers is in relationship to the major architectural patterns depicted in the Gleason diagram. The four major patterns are small gland, large gland, fused gland and solid nests and single cells. Most mimickers have small gland architecture and include atrophy, post-atrophic hyperplasia and atypical adenomatous hyperplasia. Normal anatomical and vestigial structures such as seminal vesicle/ejaculatory duct tissue, Cowper's gland, verumontanum mucosal glands, meso-nephric glands and paraganglionic tissue may be confused with PCa. Additionally, metaplastic and hyperplastic processes may be mistaken for PCa. Furthermore, inflammatory processes including non-specific gran-ulomatous prostatitis, xanthoma and malakoplakia may simulate high-grade PCa. In addition to mimickers there are a number of putative precursors of PCa. High-grade prostatic intraepithelial neoplasia has been expensively studied and is thought to be a precursor of at least a subset of PCa. The pathologist's awareness of the vast array of benign mimickers coupled with prudent use of immunohistochemistry is a critical step in the systematic approach to the diagnosis of PCa. Recognition of PCa precursors in pathological specimens may significantly impact patient management.
机译:在穿刺活检中,特别是当少量存在时,对前列腺腺癌(PCa)的诊断通常具有挑战性。在做出恶性诊断之前,必须考虑并排除可能模拟癌症的各种良性过程。对良性模仿者进行分类的一种有用方法是与格里森图中描绘的主要建筑模式有关。四种主要模式是小腺体,大腺体,融合腺体和实体巢以及单个细胞。大多数模仿者的腺体结构较小,包括萎缩,萎缩后增生和非典型腺瘤性增生。正常的解剖和残留结构,例如精囊/射精管组织,考珀氏腺,Verumontanum粘膜腺,中肾腺和神经节旁组织可能与PCa混淆。另外,化生和增生过程可能被误认为是PCa。此外,包括非特异性肉芽肿性前列腺炎,黄瘤和疟原虫的炎症过程可能会模拟高度PCa。除了模仿者外,还有许多假定的PCa前体。高度前列腺上皮内瘤变已经被昂贵地研究,并且被认为是至少一部分PCa的前体。病理学家对良性隐匿性隐睾症的广泛认识以及对免疫组织化学的谨慎使用是系统诊断PCa的关键步骤。病理标本中PCa前体的识别可能会严重影响患者管理。

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