卵巢黏液性肿瘤:综合临床病理观点。

IF 3.2
Madhuchhanda Roy, Stephanie M McGregor
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引用次数: 0

摘要

上下文。-:原发性卵巢黏液性肿瘤是一种高度异质性的肿瘤。尽管在卵巢肿瘤中相对常见,但即使对于经验丰富的基于形态学评估的妇科病理学家来说,它们也构成了诊断挑战,形态学评估是分类的主要手段,并且本质上受到观察者之间大量差异的影响。低期疾病的患者通常有良好的预后,但浸润性生长与风险增加有关,而高期疾病通常既具有侵袭性,又对传统治疗具有耐药性。-:回顾黏液性肿瘤的分类诊断标准,重点介绍分级和辅助检测的最新进展,并讨论与临床管理相关的分类面临的挑战。数据源。-:发表的经同行评审的文献和作者的个人经历。-:原发性卵巢黏液性肿瘤在常规妇科病理实践中是常见的;然而,它们的分类仍然存在问题。围绕其诊断的许多困难源于其令人难以置信的空间异质性,这是由肉眼和组织学发现之间经常不一致所混淆的。在术中评估面临着更大的挑战,因为它在有限的采样下实时地彻底改变了手术管理。最近采用的基于生长模式的分级可能最终作为一种手段,简化了这些难以捉摸的肿瘤的方法,为患者提供了低阶段的疾病。对于那些表现为晚期疾病的患者,指导个体化治疗的辅助检测仍然主要植根于泛肿瘤策略,潜在的基于生物标志物的方法的研究正在进行中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ovarian Mucinous Neoplasms: An Integrated Clinicopathologic Perspective.

Context.—: Primary ovarian mucinous neoplasms represent a highly heterogeneous group of tumors. Despite being relatively common among ovarian tumors, they pose diagnostic challenges even for experienced gynecologic pathologists based on morphologic assessment, which serves as the primary means of classification and is intrinsically subject to substantial interobserver variability. Patients with low-stage disease generally have excellent outcomes, but infiltrative growth is associated with increased risk and high-stage disease is typically both aggressive and resistant to traditional therapy.

Objective.—: To review diagnostic criteria for classification of mucinous tumors, highlight recent updates on grading and ancillary testing, and discuss ongoing challenges of classification as they relate to clinical management.

Data sources.—: Published peer-reviewed literature and personal experience of the authors.

Conclusions.—: Primary ovarian mucinous neoplasms are frequently encountered in routine gynecologic pathology practice; however, their classification remains problematic. Much of the difficulty surrounding their diagnosis stems from their incredible spatial heterogeneity, which is confounded by frequent discordance between gross and histologic findings. One is faced with an even greater challenge during intraoperative assessment, because it drastically alters surgical management in real time, with limited sampling. The recent adoption of growth pattern-based grading may ultimately serve as a means of simplifying the approach to these elusive tumors for patients who present with low-stage disease. For those presenting with high-stage disease, ancillary testing to guide individualized therapy remains largely rooted in pan-tumor strategies, and study of potential biomarker-based approaches is ongoing.

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