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本文引用的文献

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Grading lung neuroendocrine tumors: Controversies in search of a solution.肺神经内分泌肿瘤的分级:寻求解决方案中的争议
Histol Histopathol. 2017 Mar;32(3):223-241. doi: 10.14670/HH-11-822. Epub 2016 Sep 15.
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What clinicians are asking pathologists when dealing with lung neuroendocrine neoplasms?临床医生在处理肺神经内分泌肿瘤时会向病理学家询问哪些问题?
Semin Diagn Pathol. 2015 Nov;32(6):469-79. doi: 10.1053/j.semdp.2015.10.009. Epub 2015 Oct 22.
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Introduction to The 2015 World Health Organization Classification of Tumors of the Lung, Pleura, Thymus, and Heart.《2015年世界卫生组织肺、胸膜、胸腺和心脏肿瘤分类》简介
J Thorac Oncol. 2015 Sep;10(9):1240-1242. doi: 10.1097/JTO.0000000000000663.
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Classification of lung neuroendocrine tumors: lights and shadows.肺神经内分泌肿瘤的分类:亮点与阴影
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Pulmonary neuroendocrine (carcinoid) tumors: European Neuroendocrine Tumor Society expert consensus and recommendations for best practice for typical and atypical pulmonary carcinoids.肺神经内分泌(类癌)肿瘤:欧洲神经内分泌肿瘤学会专家共识和典型与非典型肺类癌最佳实践建议。
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Interobserver variability for the WHO classification of pulmonary carcinoids.世界卫生组织肺类癌分类的观察者间变异性。
Am J Surg Pathol. 2014 Oct;38(10):1429-36. doi: 10.1097/PAS.0000000000000300.
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Ki-67 antigen in lung neuroendocrine tumors: unraveling a role in clinical practice.肺神经内分泌肿瘤中的 Ki-67 抗原:揭示其在临床实践中的作用。
J Thorac Oncol. 2014 Mar;9(3):273-84. doi: 10.1097/JTO.0000000000000092.
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Outcome and prognostic factors in bronchial carcinoids: a single-center experience.支气管类癌的预后因素和结果:单中心经验。
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Prognostic factors in a multicentre study of 247 atypical pulmonary carcinoids.一项针对247例非典型肺类癌的多中心研究中的预后因素
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肺神经内分泌肿瘤:病理特征

Lung neuroendocrine tumors: pathological characteristics.

作者信息

Righi Luisella, Gatti Gaia, Volante Marco, Papotti Mauro

机构信息

Department of Oncology, San Luigi Hospital, Orbassano, Italy.

Department of Oncology, City of Health and Science, University of Turin, Torino, Italy.

出版信息

J Thorac Dis. 2017 Nov;9(Suppl 15):S1442-S1447. doi: 10.21037/jtd.2017.01.59.

DOI:10.21037/jtd.2017.01.59
PMID:29201447
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5690953/
Abstract

Lung neuroendocrine tumors (NETs) are a heterogeneous family of neoplasms comprising four histologic types, namely typical and atypical carcinoid (TC and AC), large-cell neuroendocrine and small cell carcinoma (SCC). Classification criteria include the number of mitoses per 2 mm, the occurrence and extent of necrosis, cytological and histological features and immunohistochemistry for neuroendocrine markers. The classification system and the diagnostic workflow of lung NETs are apparently easy to apply and well established. However, several unresolved issues still exist in classification and pathological characterization of these tumors, probably because inter-observer diagnostic reproducibility remains disappointing, likely due to inconsistency in recognizing necrosis, mitoses and cytological details, especially in small biopsy or cytological materials. Furthermore, the lack of strong prognostic and grading criteria leads to the incomplete interpretation of some rare intermediate entities that stand in between AC and large cell neuroendocrine carcinoma (LCNEC) categories.

摘要

肺神经内分泌肿瘤(NETs)是一组异质性肿瘤,包括四种组织学类型,即典型类癌和非典型类癌(TC和AC)、大细胞神经内分泌癌和小细胞癌(SCC)。分类标准包括每2毫米的有丝分裂数、坏死的发生及范围、细胞学和组织学特征以及神经内分泌标志物的免疫组化。肺NETs的分类系统和诊断流程显然易于应用且已确立。然而,这些肿瘤的分类和病理特征仍存在一些未解决的问题,这可能是因为观察者间诊断的可重复性仍然令人失望,可能是由于在识别坏死、有丝分裂和细胞学细节方面存在不一致,尤其是在小活检或细胞学材料中。此外,缺乏强有力的预后和分级标准导致对一些介于AC和大细胞神经内分泌癌(LCNEC)类别之间的罕见中间实体的解读不完整。