» Articles » PMID: 26022456

Accuracy of the IASLC/ATS/ERS Histological Subtyping of Stage I Lung Adenocarcinoma on Intraoperative Frozen Sections

Overview
Journal Mod Pathol
Specialty Pathology
Date 2015 May 30
PMID 26022456
Citations 41
Authors
Affiliations
Soon will be listed here.
Abstract

Histological subtyping of surgically resected lung adenocarcinoma has been shown to be of prognostic significance, and limited surgical resection has been proposed as a treatment of choice for early-stage lung adenocarcinoma. The accuracy of histological subtyping has been recently assessed in the surgical resection and small biopsy specimens; however, the accuracy of intraoperative subtyping on frozen sections remains relatively unknown. The aim of this study was to determine diagnostic accuracy and interobserver variability in histological subtyping of lung adenocarcinoma on intraoperative frozen sections. Overall, 112 consecutive cases of surgically resected stage I lung adenocarcinoma were reviewed independently by three pathologists. Histological patterns (acinar, lepidic, papillary, micropapillary, and solid) and mucinous variant were recorded in 5% increments for each intraoperative frozen and permanent sections. Primary and secondary histological patterns were assigned in each case. Kappa scores were calculated to evaluate agreement between pathologists in the assessment of histological subtype on intraoperative frozen sections versus permanent sections. Overall agreement between intraoperative frozen and permanent sections was moderate for primary pattern (69.7% of cases), with kappa scores ranging from 0.43 to 0.58, with more consistent agreement for stage IA tumors. Kappa scores for the secondary pattern ranged from 0.16 to 0.32. Acinar and solid patterns were most likely to be correctly identified as primary growth patterns. Micropapillary pattern was recognized in only 11-55% of cases. The main reasons for discrepancies between intraoperative frozen and permanent sections were inadequate sampling and poor quality of frozen sections. Our study suggests that it is difficult to predict the primary adenocarcinoma pattern on a single representative frozen section. This observation suggests a potential impact on the extent of frozen section sampling by pathologists at the time of intraoperative consultation, if surgical management of stage I lung adenocarcinoma will be guided by its histological subtype.

Citing Articles

Impact of histopathological subtypes on invasive lung adenocarcinoma: from epidemiology to tumour microenvironment to therapeutic strategies.

Xin S, Wen M, Tian Y, Dong H, Wan Z, Jiang S World J Surg Oncol. 2025; 23(1):66.

PMID: 40016762 PMC: 11866629. DOI: 10.1186/s12957-025-03701-9.


Quantifying intratumoral heterogeneity within sub-regions to predict high-grade patterns in clinical stage I solid lung adenocarcinoma.

Zuo Z, Deng J, Ge W, Zhou Y, Liu H, Zhang W BMC Cancer. 2025; 25(1):51.

PMID: 39789523 PMC: 11720805. DOI: 10.1186/s12885-025-13445-0.


Advances in molecular imaging and targeted therapeutics for lymph node metastasis in cancer: a comprehensive review.

Wu Y, Shang J, Zhang X, Li N J Nanobiotechnology. 2024; 22(1):783.

PMID: 39702277 PMC: 11657939. DOI: 10.1186/s12951-024-02940-4.


Predicting High-Grade Patterns in Stage I Solid Lung Adenocarcinoma: A Study of 371 Patients Using Refined Radiomics and Deep Learning-Guided CatBoost Classifier.

Zheng H, Chen W, Liu J, Jian L, Luo T, Yu X Technol Cancer Res Treat. 2024; 23:15330338241308610.

PMID: 39692551 PMC: 11660076. DOI: 10.1177/15330338241308610.


Preoperative markers for identifying CT ≤2 cm solid nodules of lung adenocarcinoma based on image deep learning.

Gao Z, Liu S, Li X, Xu L, Xiao H, Guo J Thorac Cancer. 2024; 15(31):2272-2282.

PMID: 39354738 PMC: 11543272. DOI: 10.1111/1759-7714.15448.


References
1.
Yeh Y, Nitadori J, Kadota K, Yoshizawa A, Rekhtman N, Moreira A . Using frozen section to identify histological patterns in stage I lung adenocarcinoma of ≤ 3 cm: accuracy and interobserver agreement. Histopathology. 2014; 66(7):922-38. PMC: 4536823. DOI: 10.1111/his.12468. View

2.
Okada M . Subtyping lung adenocarcinoma according to the novel 2011 IASLC/ATS/ERS classification: correlation with patient prognosis. Thorac Surg Clin. 2013; 23(2):179-86. DOI: 10.1016/j.thorsurg.2013.01.001. View

3.
Landreneau R, Normolle D, Christie N, Awais O, Wizorek J, Abbas G . Recurrence and survival outcomes after anatomic segmentectomy versus lobectomy for clinical stage I non-small-cell lung cancer: a propensity-matched analysis. J Clin Oncol. 2014; 32(23):2449-55. PMC: 4121502. DOI: 10.1200/JCO.2013.50.8762. View

4.
Warth A, Muley T, Meister M, Stenzinger A, Thomas M, Schirmacher P . The novel histologic International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society classification system of lung adenocarcinoma is a stage-independent predictor of survival. J Clin Oncol. 2012; 30(13):1438-46. DOI: 10.1200/JCO.2011.37.2185. View

5.
Kadota K, Yeh Y, Sima C, Rusch V, Moreira A, Adusumilli P . The cribriform pattern identifies a subset of acinar predominant tumors with poor prognosis in patients with stage I lung adenocarcinoma: a conceptual proposal to classify cribriform predominant tumors as a distinct histologic subtype. Mod Pathol. 2013; 27(5):690-700. PMC: 4374572. DOI: 10.1038/modpathol.2013.188. View