Literature DB >> 28366548

Inaccuracy of lung adenocarcinoma subtyping using preoperative biopsy specimens.

Kuo-Yang Huang1, Pin-Zuo Ko2, Chih-Wei Yao3, Cheng-Nan Hsu4, Hsin-Yuan Fang5, Chih-Yeh Tu6, Hung-Jen Chen7.   

Abstract

BACKGROUND: The prognostic significance of the new classification of lung adenocarcinoma proposed in the 2015 World Health Organization guideline has been validated. This study aimed to compare the preoperative classification of the adenocarcinoma subtype based on computed tomography-guided 18-gauge core needle biopsy (CTNB) or radial probe endobronchial ultrasound (R-EBUS) specimens, with the postoperative classification based on the resected specimens.
METHODS: We retrospectively analyzed a consecutive series of 128 patients (60 CTNB and 68 R-EBUS) who underwent surgery for preoperatively confirmed lung adenocarcinoma between 2010 and 2014. Comprehensive histological subtyping was performed according to the 2015 World Health Organization classification system. Diagnostic concordance of subtypes between small biopsy and resection specimens was assessed.
RESULTS: Concordant subtyping of adenocarcinomas between the predominant pattern on resections and biopsy sections was observed in 58.6% of cases (75 of 128; 95% confidence interval [CI], 49.9%-66.8%). Preoperative subtyping was accurate in only 30% of samples (3 of 10) with a predominance of solid patterns. None of the 5 micropapillary predominant cases was detected by CTNB or R-EBUS. For the concordance of the presence or absence of micropapillary/solid component, the sensitivity was as low as 16.5% (95% CI, 9.1%-26.5%). The detection rate by CTNB/R-EBUS increased with the increase in the percentage of micropapillary/solid component; however, even in the ≥40% micropapillary/solid group, only 24% of cases were detected by CTNB/R-EBUS.
CONCLUSIONS: The accuracy of the estimation of adenocarcinoma histological subtype based on preoperative biopsy sections was unsatisfactory.
Copyright © 2017 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  computed tomography–guided 18-gauge core needle biopsy (CTNB); high-grade adenocarcinoma; lung adenocarcinoma; radial probe endobronchial ultrasound (R-EBUS); subtype

Mesh:

Year:  2017        PMID: 28366548     DOI: 10.1016/j.jtcvs.2017.02.059

Source DB:  PubMed          Journal:  J Thorac Cardiovasc Surg        ISSN: 0022-5223            Impact factor:   5.209


  6 in total

1.  Solid Attenuation Components Attention Deep Learning Model to Predict Micropapillary and Solid Patterns in Lung Adenocarcinomas on Computed Tomography.

Authors:  Li-Wei Chen; Shun-Mao Yang; Ching-Chia Chuang; Hao-Jen Wang; Yi-Chang Chen; Mong-Wei Lin; Min-Shu Hsieh; Mara B Antonoff; Yeun-Chung Chang; Carol C Wu; Tinsu Pan; Chung-Ming Chen
Journal:  Ann Surg Oncol       Date:  2022-07-05       Impact factor: 4.339

2.  Procedure-specific prognostic impact of micropapillary subtype may guide resection strategy in small-sized lung adenocarcinomas: a multicenter study.

Authors:  Hang Su; Huikang Xie; Chenyang Dai; Shengnan Zhao; Dong Xie; Yunlang She; Yijiu Ren; Lei Zhang; Ziwen Fan; Donglai Chen; Feng Jiang; Jinshi Liu; Quan Zhu; Jie Yao; Honggang Ke; Lei Zhang; Chunyan Wu; Gening Jiang; Chang Chen
Journal:  Ther Adv Med Oncol       Date:  2020-07-03       Impact factor: 8.168

3.  Presence of micropapillary and solid patterns are associated with nodal upstaging and unfavorable prognosis among patient with cT1N0M0 lung adenocarcinoma: a large-scale analysis.

Authors:  Yonggang Yuan; Ge Ma; YaQi Zhang; Haiquan Chen
Journal:  J Cancer Res Clin Oncol       Date:  2018-02-01       Impact factor: 4.553

4.  Volume and Mass Doubling Time of Lung Adenocarcinoma according to WHO Histologic Classification.

Authors:  Jung Hee Hong; Samina Park; Hyungjin Kim; Jin Mo Goo; In Kyu Park; Chang Hyun Kang; Young Tae Kim; Soon Ho Yoon
Journal:  Korean J Radiol       Date:  2020-10-30       Impact factor: 3.500

5.  Predictors of Invasiveness in Adenocarcinoma of Lung with Lepidic Growth Pattern.

Authors:  Timothy J Young; Ramin Salehi-Rad; Reza Ronaghi; Jane Yanagawa; Puja Shahrouki; Bianca E Villegas; Brian Cone; Gregory A Fishbein; William D Wallace; Fereidoun Abtin; Igor Barjaktarevic
Journal:  Med Sci (Basel)       Date:  2022-06-22

6.  Thick-wall cavity predicts worse progression-free survival in lung adenocarcinoma treated with first-line EGFR-TKIs.

Authors:  Fei Zhou; Wanrong Ma; Wei Li; Huijuan Ni; Guanghui Gao; Xiaoxia Chen; Jie Zhang; Jingyun Shi
Journal:  BMC Cancer       Date:  2018-10-23       Impact factor: 4.430

  6 in total

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