Literature DB >> 27456499

Risk Factors for Predicting Occult Lymph Node Metastasis in Patients with Clinical Stage I Non-small Cell Lung Cancer Staged by Integrated Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography.

Kaoru Kaseda1, Keisuke Asakura2, Akio Kazama3, Yukihiko Ozawa4.   

Abstract

BACKGROUND: Lymph nodes in patients with non-small cell lung cancer (NSCLC) are often staged using integrated 18F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT). However, this modality has limited ability to detect micrometastases. We aimed to define risk factors for occult lymph node metastasis in patients with clinical stage I NSCLC diagnosed by preoperative integrated FDG-PET/CT.
METHODS: We retrospectively reviewed the records of 246 patients diagnosed with clinical stage I NSCLC based on integrated FDG-PET/CT between April 2007 and May 2015. All patients were treated by complete surgical resection. The prevalence of occult lymph node metastasis in patients with clinical stage I NSCLC was analysed according to clinicopathological factors. Risk factors for occult lymph node metastasis were defined using univariate and multivariate analyses.
RESULTS: Occult lymph node metastasis was detected in 31 patients (12.6 %). Univariate analysis revealed CEA (P = 0.04), SUVmax of the primary tumour (P = 0.031), adenocarcinoma (P = 0.023), tumour size (P = 0.002) and pleural invasion (P = 0.046) as significant predictors of occult lymph node metastasis. Multivariate analysis selected SUVmax of the primary tumour (P = 0.049), adenocarcinoma (P = 0.003) and tumour size (P = 0.019) as independent predictors of occult lymph node metastasis.
CONCLUSIONS: The SUVmax of the primary tumour, adenocarcinoma and tumour size were risk factors for occult lymph node metastasis in patients with NSCLC diagnosed as clinical stage I by preoperative integrated FDG-PET/CT. These findings would be helpful in selecting candidates for mediastinoscopy or endobronchial ultrasound-guided transbronchial needle aspiration.

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Year:  2016        PMID: 27456499     DOI: 10.1007/s00268-016-3652-5

Source DB:  PubMed          Journal:  World J Surg        ISSN: 0364-2313            Impact factor:   3.352


  25 in total

Review 1.  Meta-analysis of positron emission tomographic and computed tomographic imaging in detecting mediastinal lymph node metastases in nonsmall cell lung cancer.

Authors:  Ozcan Birim; A Pieter Kappetein; Theo Stijnen; Ad J J C Bogers
Journal:  Ann Thorac Surg       Date:  2005-01       Impact factor: 4.330

2.  Occult nodal metastasis in patients with non-small cell lung cancer at clinical stage IA by PET/CT.

Authors:  Hye Kyeong Park; Kyeongman Jeon; Won-Jung Koh; Gee Young Suh; Hojoong Kim; O Jung Kwon; Man Pyo Chung; Kyung Soo Lee; Young Mog Shim; Joungho Han; Sang-Won Um
Journal:  Respirology       Date:  2010-11       Impact factor: 6.424

3.  Multicenter analysis of high-resolution computed tomography and positron emission tomography/computed tomography findings to choose therapeutic strategies for clinical stage IA lung adenocarcinoma.

Authors:  Morihito Okada; Haruhiko Nakayama; Sakae Okumura; Hiromitsu Daisaki; Shuji Adachi; Masahiro Yoshimura; Yoshihiro Miyata
Journal:  J Thorac Cardiovasc Surg       Date:  2011-03-25       Impact factor: 5.209

4.  Mediastinal lymph nodes staging by 18F-FDG PET/CT for early stage non-small cell lung cancer: a multicenter study.

Authors:  Xiaolin Li; Huaqi Zhang; Ligang Xing; Honglian Ma; Peng Xie; Lin Zhang; Xiangying Xu; Jinbo Yue; Xindong Sun; Xudong Hu; Ming Chen; Wengui Xu; Lusheng Chen; Jinming Yu
Journal:  Radiother Oncol       Date:  2011-11-17       Impact factor: 6.280

5.  Incidence of occult mediastinal node involvement in cN0 non-small-cell lung cancer patients after negative uptake of positron emission tomography/computer tomography scan.

Authors:  Abel Gómez-Caro; Samuel Garcia; Noemí Reguart; Pedro Arguis; Marcelo Sanchez; Josep M Gimferrer; Ramon Marrades; Francisco Lomeña
Journal:  Eur J Cardiothorac Surg       Date:  2010-01-29       Impact factor: 4.191

Review 6.  Clinical applications of (18)F-FDG in oncology.

Authors:  Hani A Nabi; José M Zubeldia
Journal:  J Nucl Med Technol       Date:  2002-03

7.  The IASLC Lung Cancer Staging Project: proposals for the revision of the TNM stage groupings in the forthcoming (seventh) edition of the TNM Classification of malignant tumours.

Authors:  Peter Goldstraw; John Crowley; Kari Chansky; Dorothy J Giroux; Patti A Groome; Ramon Rami-Porta; Pieter E Postmus; Valerie Rusch; Leslie Sobin
Journal:  J Thorac Oncol       Date:  2007-08       Impact factor: 15.609

8.  Preoperative staging of lung cancer with combined PET-CT.

Authors:  Barbara Fischer; Ulrik Lassen; Jann Mortensen; Søren Larsen; Annika Loft; Anne Bertelsen; Jesper Ravn; Paul Clementsen; Asbjørn Høgholm; Klaus Larsen; Torben Rasmussen; Susanne Keiding; Asger Dirksen; Oke Gerke; Birgit Skov; Ida Steffensen; Hanne Hansen; Peter Vilmann; Grete Jacobsen; Vibeke Backer; Niels Maltbaek; Jesper Pedersen; Henrik Madsen; Henrik Nielsen; Liselotte Højgaard
Journal:  N Engl J Med       Date:  2009-07-02       Impact factor: 91.245

9.  Staging of non-small-cell lung cancer with integrated positron-emission tomography and computed tomography.

Authors:  Didier Lardinois; Walter Weder; Thomas F Hany; Ehab M Kamel; Stephan Korom; Burkhardt Seifert; Gustav K von Schulthess; Hans C Steinert
Journal:  N Engl J Med       Date:  2003-06-19       Impact factor: 91.245

Review 10.  Noninvasive staging of non-small cell lung cancer: a review of the current evidence.

Authors:  Eric M Toloza; Linda Harpole; Douglas C McCrory
Journal:  Chest       Date:  2003-01       Impact factor: 9.410

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  13 in total

1.  18F-FDG PET/CT radiomics nomogram for predicting occult lymph node metastasis of non-small cell lung cancer.

Authors:  Jianyi Qiao; Xin Zhang; Ming Du; Pengyuan Wang; Jun Xin
Journal:  Front Oncol       Date:  2022-09-28       Impact factor: 5.738

2.  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

3.  18F-FDG PET-based radiomics model for predicting occult lymph node metastasis in clinical N0 solid lung adenocarcinoma.

Authors:  Lili Wang; Tiancheng Li; Junjie Hong; Mingyue Zhang; Mingli Ouyang; Xiangwu Zheng; Kun Tang
Journal:  Quant Imaging Med Surg       Date:  2021-01

4.  Risk factors of lymph node metastasis in patients with non-small cell lung cancer ≤ 2 cm in size: A monocentric population-based analysis.

Authors:  Xiyan Yu; Yanwen Li; Chunlei Shi; Baohui Han
Journal:  Thorac Cancer       Date:  2017-10-16       Impact factor: 3.500

5.  [Correlation between Lymph Node Ratio and Clinicopathological Features and Prognosis of IIIa-N2 Non-small Cell Lung Cancer].

Authors:  Shanyuan Zhang; Liang Wang; Fangliang Lu; Yuquan Pei; Yue Yang
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2019-11-20

Review 6.  18F-fluorodeoxyglucose positron emission tomography/computed tomography in the evaluation of clinically node-negative non-small cell lung cancer.

Authors:  Yusuke Takahashi; Shigeki Suzuki; Noriyuki Matsutani; Masafumi Kawamura
Journal:  Thorac Cancer       Date:  2019-01-21       Impact factor: 3.500

7.  Hitting a HOMER: Epidemiology to the Bedside when Evaluating for Stereotactic Ablative Radiotherapy.

Authors:  David M DiBardino; Neal Navani
Journal:  Am J Respir Crit Care Med       Date:  2020-01-15       Impact factor: 21.405

8.  Comparison of Involved Field Radiotherapy versus Elective Nodal Irradiation in Stage IIIB/C Non-Small-Cell Lung Carcinoma Patients Treated with Concurrent Chemoradiotherapy: A Propensity Score Matching Study.

Authors:  Erkan Topkan; Yurday Ozdemir; Ozan Cem Guler; Ahmet Kucuk; Ali Ayberk Besen; Huseyin Mertsoylu; Duygu Sezen; Eyub Yasar Akdemir; Ahmet Sezer; Yasemin Bolukbasi; Berrin Pehlivan; Ugur Selek
Journal:  J Oncol       Date:  2020-09-04       Impact factor: 4.375

9.  Elevated preoperative CEA is associated with subclinical nodal involvement and worse survival in stage I non-small cell lung cancer: a systematic review and meta-analysis.

Authors:  Awrad Nasralla; Jeremy Lee; Jerry Dang; Simon Turner
Journal:  J Cardiothorac Surg       Date:  2020-10-15       Impact factor: 1.637

10.  Machine Learning for the Prediction of Lymph Nodes Micrometastasis in Patients with Non-Small Cell Lung Cancer: A Comparative Analysis of Two Practical Prediction Models for Gross Target Volume Delineation.

Authors:  Shuli Hu; Man Luo; Yaling Li
Journal:  Cancer Manag Res       Date:  2021-06-17       Impact factor: 3.989

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