Suppr超能文献

硬化性肺细胞瘤病例的陷阱与关键特征:细胞病理学难题?

Pitfalls and Key Features of a Case of Sclerosing Pneumocytoma: A Cytological Challenge?

作者信息

Onorati Monica, Nicola Marta, Bianchi Chiara Luisa, Bini Francesco, Bellaviti Nadia, Di Nuovo Franca

机构信息

Pathology Unit, Garbagnate Milanese Hospital, AO G. Salvini, Garbagnate Milanese, Italy.

出版信息

Acta Cytol. 2016;60(1):85-8. doi: 10.1159/000444042. Epub 2016 Mar 3.

Abstract

BACKGROUND

The aim of the current case report is to re-evaluate the key features and pitfalls of fine-needle aspiration cytology (FNAC) in the diagnosis of sclerosing pneumocytoma (previously named sclerosing hemangioma) and to establish the importance of FNAC in addressing a proper surgical strategy.

CASE

Herein we documented a case of a 70- year-old man with a lung nodule which showed a hypermetabolic uptake on positron emission tomography. He therefore underwent FNAC under computed tomography scan guidance with a 22-gauge needle. The cytopathological examination allowed a diagnosis of sclerosing pneumocytoma. A wedge surgical excision was performed and the histological examination confirmed the cytological diagnosis.

CONCLUSION

FNAC is a fundamental tool for distinguishing sclerosing pneumocytoma from a malignant lung tumour and together with clinical, radiological and pathological multidisciplinary assessment is indispensable in planning appropriate surgical management. Cytopathologists should be aware of the pitfalls and key features of the cytopathological diagnosis of sclerosing pneumocytoma, which can significantly change the surgical approach to the patient and protect him from aggressive overtreatment.

摘要

背景

本病例报告的目的是重新评估细针穿刺抽吸细胞学检查(FNAC)在硬化性肺细胞瘤(先前称为硬化性血管瘤)诊断中的关键特征和陷阱,并确定FNAC在制定合适手术策略方面的重要性。

病例

在此,我们记录了一例70岁男性患者,其肺部结节在正电子发射断层扫描中显示代谢增高。因此,他在计算机断层扫描引导下使用22号针进行了FNAC。细胞病理学检查确诊为硬化性肺细胞瘤。进行了楔形手术切除,组织学检查证实了细胞学诊断。

结论

FNAC是区分硬化性肺细胞瘤与恶性肺肿瘤的重要工具,并且与临床、放射学和病理学多学科评估一起,在规划适当的手术治疗中不可或缺。细胞病理学家应了解硬化性肺细胞瘤细胞病理学诊断的陷阱和关键特征,这可显著改变对患者的手术方式,并使其避免过度积极的治疗。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验