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使用冰冻切片识别直径≤3 cm的Ⅰ期肺腺癌的组织学模式:准确性及观察者间一致性

Using frozen section to identify histological patterns in stage I lung adenocarcinoma of ≤ 3 cm: accuracy and interobserver agreement.

作者信息

Yeh Yi-Chen, Nitadori Jun-ichi, Kadota Kyuichi, Yoshizawa Akihiko, Rekhtman Natasha, Moreira Andre L, Sima Camelia S, Rusch Valerie W, Adusumilli Prasad S, Travis William D

机构信息

Division of Thoracic Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.

Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.

出版信息

Histopathology. 2015 Jun;66(7):922-38. doi: 10.1111/his.12468. Epub 2015 Feb 5.

Abstract

AIMS

The IASLC/ATS/ERS classification of lung adenocarcinoma provides a prognostically significant histological subclassification. The aim of this study was to investigate the accuracy, limitations and interobserver agreement of frozen sections for predicting histological subtype.

METHODS AND RESULTS

Frozen section and permanent section slides from 361 resected stage I lung adenocarcinomas ≤ 3 cm in size were reviewed for predominant histological subtype and the presence or absence of lepidic, acinar, papillary, micropapillary and solid patterns. Fifty cases were additionally reviewed by three pathologists to determine interobserver agreement. To test the accuracy of frozen section in judging degree of invasion, five pathologists reviewed frozen section slides from 35 cases with a predominantly lepidic pattern. There was moderate agreement on predominant histological subtype between frozen sections and final diagnosis (κ = 0.565). Frozen sections had high specificity for micropapillary and solid patterns (94% and 96%, respectively), but sensitivity was low (37% and 69%, respectively). The interobserver agreement was satisfactory (κ > 0.6, except for the acinar pattern).

CONCLUSIONS

Frozen section can provide information on the presence of aggressive histological patterns-micropapillary and solid-with high specificity but low sensitivity. It was difficult to predict the predominant pattern on the basis of frozen sections, mostly because of sampling issues.

摘要

目的

国际肺癌研究协会(IASLC)/美国胸科学会(ATS)/欧洲呼吸学会(ERS)的肺腺癌分类提供了具有预后意义的组织学亚分类。本研究的目的是探讨冰冻切片预测组织学亚型的准确性、局限性及观察者间的一致性。

方法与结果

回顾了361例手术切除的直径≤3 cm的I期肺腺癌的冰冻切片和永久切片,观察主要组织学亚型以及是否存在鳞屑状、腺泡状、乳头状、微乳头状和实性模式。另外由三位病理学家对50例病例进行评估以确定观察者间的一致性。为测试冰冻切片判断浸润程度的准确性,五位病理学家回顾了35例主要为鳞屑状模式的病例的冰冻切片。冰冻切片与最终诊断在主要组织学亚型上有中度一致性(κ = 0.565)。冰冻切片对微乳头状和实性模式具有高特异性(分别为94%和96%),但敏感性较低(分别为37%和69%)。观察者间的一致性令人满意(κ>0.6,腺泡状模式除外)。

结论

冰冻切片能够以高特异性但低敏感性提供侵袭性组织学模式(微乳头状和实性)存在的信息。基于冰冻切片很难预测主要模式,这主要是由于取材问题。

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7
Reproducibility of histopathological subtypes and invasion in pulmonary adenocarcinoma. An international interobserver study.
Mod Pathol. 2012 Dec;25(12):1574-83. doi: 10.1038/modpathol.2012.106. Epub 2012 Jul 20.
8
A grading system combining architectural features and mitotic count predicts recurrence in stage I lung adenocarcinoma.
Mod Pathol. 2012 Aug;25(8):1117-27. doi: 10.1038/modpathol.2012.58. Epub 2012 Apr 13.
9
Interobserver variability in the application of the novel IASLC/ATS/ERS classification for pulmonary adenocarcinomas.
Eur Respir J. 2012 Nov;40(5):1221-7. doi: 10.1183/09031936.00219211. Epub 2012 Mar 9.

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