Literature DB >> 16498267

Early detection of lung cancer.

Ugo Pastorino1.   

Abstract

The overall 5-year survival of lung cancer is only 10% in Europe and 15% in the United States, and progress in curative treatments during the last 20 years has been modest. Late diagnosis of extensive disease is the main reason of failure. Early detection with low-dose spiral computed tomography (CT) is one of the most promising development of clinical research, and continuous improvements in technology can make this instrument more effective than mammography in breast cancer detection. In order to prove the benefit of early detection by reduction of lung cancer mortality, we need to enroll large numbers of high-risk individuals in multicentric prospective randomized trials combining primary prevention by smoking cessation with diagnostic intervention with low-dose spiral CT, optimal management of cancer and minimum damage for healthy individuals. Molecular biology research within early detection trials, combining genomic and proteomic analysis of blood and sputum, may improve the differential diagnosis, define the individual risk of cancer incidence and failure, and help target therapies on the basis of biologic profile. Copyright 2006 S. Karger AG, Basel.

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Mesh:

Year:  2006        PMID: 16498267     DOI: 10.1159/000090990

Source DB:  PubMed          Journal:  Respiration        ISSN: 0025-7931            Impact factor:   3.580


  7 in total

Review 1.  [Lung cancer screening with thoracic X‑ray and CT : Current situation].

Authors:  O von Stackelberg; H-U Kauczor
Journal:  Radiologe       Date:  2016-09       Impact factor: 0.635

2.  Randomized study on early detection of lung cancer with MSCT in Germany: study design and results of the first screening round.

Authors:  N Becker; E Motsch; M-L Gross; A Eigentopf; C P Heussel; H Dienemann; P A Schnabel; L Pilz; M Eichinger; D-E Optazaite; M Puderbach; J Tremper; S Delorme
Journal:  J Cancer Res Clin Oncol       Date:  2012-04-21       Impact factor: 4.553

3.  Stereological Evaluation of Tumor Regression Rates in Lung Cancer Using CT Via the Cavalieri Method.

Authors:  Metin Akgun; Mecit Kantarci; Kerim Cayir; Ummugulsum Bayraktutan; Selim Doganay; Omer Araz; Eyup Altunkaynak; Mehmet Bilici; Bunyami Unal; Metin Gorguner
Journal:  Eurasian J Med       Date:  2008-12

Review 4.  Lung cancer screening.

Authors:  U Pastorino
Journal:  Br J Cancer       Date:  2010-04-27       Impact factor: 7.640

Review 5.  Lung cancer screening with CT.

Authors:  Denise R Aberle; Kathleen Brown
Journal:  Clin Chest Med       Date:  2008-03       Impact factor: 2.878

6.  Gene Signatures Stratify Computed Tomography Screening Detected Lung Cancer in High-Risk Populations.

Authors:  Jiangting Hu; Mattia Boeri; Gabriella Sozzi; Dongxia Liu; Alfonso Marchianò; Luca Roz; Giuseppe Pelosi; Kevin Gatter; Ugo Pastorino; Francesco Pezzella
Journal:  EBioMedicine       Date:  2015-07-08       Impact factor: 8.143

Review 7.  Diagnostic Performances of 99mTc-Methoxy Isobutyl Isonitrile Scan in Predicting the Malignancy of Lung Lesions: A Meta-Analysis.

Authors:  Shuxin Zhang; Yang Liu
Journal:  Medicine (Baltimore)       Date:  2016-05       Impact factor: 1.889

  7 in total

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