Literature DB >> 20173129

A radiologic review of the new TNM classification for lung cancer.

Seth Kligerman1, Gerald Abbott.   

Abstract

OBJECTIVE: In 2009, a new TNM staging system was published by the International Union Against Cancer and the American Joint Committee on Cancer. The new edition will encompass non-small cell lung cancer, small cell lung cancer, and bronchopulmonary carcinoids. This article will review many important changes that have been made in the revised staging system.
CONCLUSION: It is important that radiologists learn the new system and understand the reasons for the changes to provide more accurate clinical staging.

Entities:  

Mesh:

Year:  2010        PMID: 20173129     DOI: 10.2214/AJR.09.3354

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  11 in total

Review 1.  [Conventional and CT diagnostics of bronchial carcinoma].

Authors:  C Schaefer-Prokop
Journal:  Radiologe       Date:  2010-08       Impact factor: 0.635

2.  Lung nodule segmentation in chest computed tomography using a novel background estimation method.

Authors:  Pablo G Cavalcanti; Shahram Shirani; Jacob Scharcanski; Crystal Fong; Jane Meng; Jane Castelli; David Koff
Journal:  Quant Imaging Med Surg       Date:  2016-02

3.  Preoperative computed tomography of the chest in lung cancer patients: the predictive value of calcified lymph nodes for the perioperative outcomes of video-assisted thoracoscopic surgery lobectomy.

Authors:  Kwang Nam Jin; Hyeon-Jong Moon; Yong Won Sung; Youkyung Lee; Jae Yeon Wi
Journal:  Eur Radiol       Date:  2013-07-09       Impact factor: 5.315

4.  Predicting the prognosis of lung cancer: the evolution of tumor, node and metastasis in the molecular age-challenges and opportunities.

Authors:  Ramón Rami-Porta; Hisao Asamura; Peter Goldstraw
Journal:  Transl Lung Cancer Res       Date:  2015-08

5.  Efficacy of tyrosine kinase inhibitors in non-small-cell lung cancer patients undergoing dose reduction and those with a low body surface area.

Authors:  Shinya Sato; Koichi Kurishima; Kunihiko Miyazaki; Takahide Kodama; Hiroichi Ishikawa; Katsunori Kagohashi; Tomohiro Tamura; Shinsuke Homma; Hiroaki Satoh; Nobuyuki Hizawa
Journal:  Mol Clin Oncol       Date:  2014-04-16

6.  Classification of lung cancer tumors based on structural and physicochemical properties of proteins by bioinformatics models.

Authors:  Faezeh Hosseinzadeh; Mansour Ebrahimi; Bahram Goliaei; Narges Shamabadi
Journal:  PLoS One       Date:  2012-07-19       Impact factor: 3.240

7.  Smoking, passive smoking and lung cancer cell types among women in Morocco: analysis of epidemiological profiling of 101 cases.

Authors:  Fatima Az-zahra Zakkouri; Ouaouch Saloua; Abahssain Halima; Razine Rachid; Mrabti Hind; Errihani Hassan
Journal:  BMC Res Notes       Date:  2015-10-03

8.  Improved classification of lung cancer tumors based on structural and physicochemical properties of proteins using data mining models.

Authors:  R Geetha Ramani; Shomona Gracia Jacob
Journal:  PLoS One       Date:  2013-03-07       Impact factor: 3.240

9.  A pilot study of 4'-[methyl-11C]-thiothymidine PET/CT for detection of regional lymph node metastasis in non-small cell lung cancer.

Authors:  Ryogo Minamimoto; Jun Toyohara; Hideyuki Ito; Ayako Seike; Yoko Miyata; Miyako Morooka; Momoko Okasaki; Kazuhiko Nakajima; Kimiteru Ito; Kiichi Ishiwata; Kazuo Kubota
Journal:  EJNMMI Res       Date:  2014-03-05       Impact factor: 3.138

10.  Programmed death-ligand 1 positivity can predict improved survival and a lower risk of brain metastasis in patients with resectable small cell lung cancer.

Authors:  Jin Liu; Zhong Lu; Wenhao Wang; Xiumei Sun
Journal:  Oncol Lett       Date:  2018-06-04       Impact factor: 2.967

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