Estimating individual risk for lung cancer Journal Article


Authors: Etzel, C. J.; Bach, P. B.
Article Title: Estimating individual risk for lung cancer
Abstract: Lung cancer risk prediction models hold the promise of improving patient care and streamlining research. The ultimate goal of these models is to inform clinicians as to which interventions their individual patients should receive to reduce lung cancer-associated morbidity and mortality. In this paper, we discuss the history and current state of lung cancer prediction models, focusing on three models: the Bach model, the Spitz model, and the Liverpool Lung Project (LLP) model. We also discuss the prospects for further development of improved prediction models for lung cancer risk. Although current models can identify those smokers at highest risk for lung cancer, these models are presently of limited use in the clinical setting. Nevertheless, lung cancer risk prediction models can be used during study enrollment to select more appropriate study subjects, and may eventually be useful in identifying patients for lung cancer screening or to receive chemoprevention. © Georg Thieme Verlag KG Stuttgart. New York.
Keywords: gene mutation; single nucleotide polymorphism; mortality; cancer risk; cancer diagnosis; diagnostic accuracy; genetic analysis; accuracy; chemoprophylaxis; computer assisted tomography; morbidity; calibration; genetic association; genotype; lung cancer; smoking; brca1 protein; risk assessment; pneumonia; oncogene; blood sampling; screening; family history; comorbidity; thorax radiography; fruit; vegetable; dietary intake; risk reduction; logistic regression analysis; genetic predisposition; dna extraction; clinical utility; model; environmental exposure; population based case control study; clinical assessment tool; occupational exposure; chemoprevention; asbestos; discriminatory power; risk models; tobacco smoke; bach model; breast cancer risk assessment tool; liverpool lung project model; lung emphysema; prediction model; spitz model; sputum cytodiagnosis
Journal Title: Seminars in Respiratory and Critical Care Medicine
Volume: 32
Issue: 1
ISSN: 1069-3424
Publisher: Thieme Publishing  
Date Published: 2011-02-01
Start Page: 3
End Page: 9
Language: English
DOI: 10.1055/s-0031-1272864
PROVIDER: scopus
PUBMED: 21500119
DOI/URL:
Notes: --- - "Export Date: 23 June 2011" - "CODEN: SRCCE" - "Source: Scopus"
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  1. Peter Bach
    255 Bach