Literature DB >> 31610968

Factors associated with nodal metastasis in 2-centimeter or less non-small cell lung cancer.

Ethan Pani1, Gregory Kennedy2, Xin Zheng3, Benjamin Ukert4, Doraid Jarrar2, Colleen Gaughan2, Taine Pechet2, John Kucharczuk2, Sunil Singhal5.   

Abstract

OBJECTIVE: Lymph node involvement is an important determinant of treatment and prognosis in non-small cell lung cancer (NSCLC) and must be determined via surgical lymph node (LN) evaluation. However, lymphadenectomy is associated with multiple significant morbidities. Recent studies have suggested LN evaluation can be foregone in some or all patients with NSCLC ≤2.0 cm. Our objective was to identify whether these patients may be safely spared the morbidity of lymphadenectomy.
METHODS: We undertook a retrospective study of patients treated for NSCLC ≤2.0 cm at a single institution from 2005 to 2017. We examined patient, demographic, and tumor variables for associations with LN metastases via univariable and multivariable analyses.
RESULTS: In total, 555 patients met our inclusion criteria. Our primary independent variables included tumor size, histology, and histologic subtype. Although tumors ≤1 cm were less likely to have LN metastases than 1.1- to 2-cm tumors (6.8% vs 13.3%), there was no statistically significant difference. Histologic type was not associated with LN status. In an adenocarcinoma subgroup analysis, micropapillary predominant tumors were more likely to have LN metastases. All invasive mucinous adenocarcinomas and minimally invasive adenocarcinomas were N0.
CONCLUSIONS: LN evaluation may be unnecessary in patients with minimally invasive adenocarcinoma or invasive mucinous adenocarcinomas ≤2.0 cm. However, this information is rarely available pre- or intraoperatively. Thus, we recommend LN evaluation always be performed when possible, even for subcentimeter NSCLC, unless the histology is absolutely certain. To our knowledge, this is the largest dataset published to study patients with NSCLC ≤2.0 cm.
Copyright © 2019 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  adenocarcinoma; dissection; frozen section; histologic type; intraoperative; lung cancer; lymph node; preoperative; tumor size

Year:  2019        PMID: 31610968     DOI: 10.1016/j.jtcvs.2019.07.089

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


  6 in total

1.  Clinicopathological models for predicting lymph node metastasis in patients with early-stage lung adenocarcinoma: the application of machine learning algorithms.

Authors:  Yuming Chong; Yijun Wu; Jianghao Liu; Chang Han; Liang Gong; Xinyu Liu; Naixin Liang; Shanqing Li
Journal:  J Thorac Dis       Date:  2021-07       Impact factor: 2.895

2.  A year in general thoracic surgery published in the Journal of Thoracic and Cardiovascular Surgery: 2020.

Authors:  Michael Lanuti; Jules Lin; Thomas Ng; Bryan M Burt
Journal:  J Thorac Cardiovasc Surg       Date:  2021-04-20       Impact factor: 5.209

3.  Preoperative Prediction of Lymph Node Metastasis in Patients With Early-T-Stage Non-small Cell Lung Cancer by Machine Learning Algorithms.

Authors:  Yijun Wu; Jianghao Liu; Chang Han; Xinyu Liu; Yuming Chong; Zhile Wang; Liang Gong; Jiaqi Zhang; Xuehan Gao; Chao Guo; Naixin Liang; Shanqing Li
Journal:  Front Oncol       Date:  2020-05-13       Impact factor: 6.244

4.  Radiomics-guided deep neural networks stratify lung adenocarcinoma prognosis from CT scans.

Authors:  Hwan-Ho Cho; Ho Yun Lee; Eunjin Kim; Geewon Lee; Jonghoon Kim; Junmo Kwon; Hyunjin Park
Journal:  Commun Biol       Date:  2021-11-12

5.  Preoperative CT-Based Radiomics Combined With Nodule Type to Predict the Micropapillary Pattern in Lung Adenocarcinoma of Size 2 cm or Less: A Multicenter Study.

Authors:  Meirong Li; Yachao Ruan; Zhan Feng; Fangyu Sun; Minhong Wang; Liang Zhang
Journal:  Front Oncol       Date:  2021-12-02       Impact factor: 6.244

Review 6.  [Pathological and Molecular Features of Lung Micropapillary Adenocarcinoma].

Authors:  Jiafeng Liang; Qiong Wu; Shenglin Ma; Shirong Zhang
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2020-11-20
  6 in total

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