Literature DB >> 12499060

Classification, staging and prognosis of lung cancer.

C J Beadsmoore1, N J Screaton.   

Abstract

Lung cancer has increased in incidence throughout the twentieth century and is now the most common cancer in the Western World. It has a poor prognosis, only 10-15% of patients survive 5 years or longer. Outcome is dependent on clinical stage and cancer cell type. Lung cancer is broadly subclassified on the basis of histological features into squamous cell carcinoma, adenocarcinoma, large cell carcinoma and small cell carcinoma. The histopathological type of lung cancer correlates with tumour behaviour and prognosis. Staging based on prognosis is essential in clinical trials comparing different management strategies, and enables universal communication regarding the efficacy of different treatments in specific patient groups. The anatomic extent of disease determined either preoperatively using imaging supplemented by invasive procedures such as mediastinoscopy, and anterior mediastinotomy or following resection are described according to the T-primary tumour, N-regional lymph nodes, M-distant metastasis classification. The International System for Staging Lung Cancer attempts to group together patients with similar prognosis and treatment options. Various combinations of T, N, and M define different clinical or surgical-pathological stages (IA-IV) characterised by different survival characteristics. Refinements in staging based on imaging findings have enabled clinical staging to more accurately reflect the surgical-pathological stage and therefore more accurately predict prognosis. Recent advances including the use of positron emission tomography in combination with conventional staging promises to increase the accuracy of staging and therefore to reduce the number of invasive staging procedures and inappropriate thoracotomies.

Entities:  

Mesh:

Year:  2003        PMID: 12499060     DOI: 10.1016/s0720-048x(02)00287-5

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  34 in total

1.  Prediction of pathological nodal involvement by CT-based Radiomic features of the primary tumor in patients with clinically node-negative peripheral lung adenocarcinomas.

Authors:  Ying Liu; Jongphil Kim; Yoganand Balagurunathan; Samuel Hawkins; Olya Stringfield; Matthew B Schabath; Qian Li; Fangyuan Qu; Shichang Liu; Alberto L Garcia; Zhaoxiang Ye; Robert J Gillies
Journal:  Med Phys       Date:  2018-04-29       Impact factor: 4.071

2.  Estimating long-term effectiveness of lung cancer screening in the Mayo CT screening study.

Authors:  Pamela M McMahon; Chung Yin Kong; Bruce E Johnson; Milton C Weinstein; Jane C Weeks; Karen M Kuntz; Jo-Anne O Shepard; Stephen J Swensen; G Scott Gazelle
Journal:  Radiology       Date:  2008-05-05       Impact factor: 11.105

3.  Spontaneous primary squamous cell carcinoma of the lung in a rhesus macaque (Macaca mulatta).

Authors:  Sherrie M Jean; Pablo R Morales; Katherine Paul; AnaPatricia Garcia
Journal:  J Am Assoc Lab Anim Sci       Date:  2011-05       Impact factor: 1.232

4.  Characteristics of Metastatic Mediastinal Lymph Nodes of Non-Small Cell Lung Cancer on Preoperative F-18 FDG PET/CT.

Authors:  Ah Young Lee; Su Jung Choi; Kyung Pyo Jung; Ji Sun Park; Seok Mo Lee; Sang Kyun Bae
Journal:  Nucl Med Mol Imaging       Date:  2013-11-06

5.  Blood classical monocytes phenotype is not altered in primary non-small cell lung cancer.

Authors:  Saleh A Almatroodi; Christine F McDonald; Allison L Collins; Ian A Darby; Dodie S Pouniotis
Journal:  World J Clin Oncol       Date:  2014-12-10

6.  Calibration of disease simulation model using an engineering approach.

Authors:  Chung Yin Kong; Pamela M McMahon; G Scott Gazelle
Journal:  Value Health       Date:  2009-01-12       Impact factor: 5.725

7.  Elevated serum levels of TPS and CYFRA 21-1 predict poor prognosis in advanced non-small-cell lung cancer patients treated with gefitinib.

Authors:  Fengsheng Chen; Xi Luo; Jinbiao Zhang; Yang Lu; Rongcheng Luo
Journal:  Med Oncol       Date:  2009-10-15       Impact factor: 3.064

8.  Optimal image reconstruction for detection and characterization of small pulmonary nodules during low-dose CT.

Authors:  SayedMasoud Hashemi; Hatem Mehrez; Richard S C Cobbold; Narinder S Paul
Journal:  Eur Radiol       Date:  2014-03-22       Impact factor: 5.315

9.  Choroidal mass as an initial presentation of lung cancer.

Authors:  Tulay Simsek; Yasemin Ozdamar; Nilufer Berker
Journal:  Med Oncol       Date:  2008-03-11       Impact factor: 3.064

10.  The influence of different culture microenvironments on the generation of dendritic cells from non-small-cell lung cancer patients.

Authors:  Paweł Krawczyk; Kamila Wojas; Janusz Milanowski; Jacek Roliński
Journal:  Arch Immunol Ther Exp (Warsz)       Date:  2007-12-03       Impact factor: 4.291

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