Literature DB >> 27195269

Risk factors assessment and risk prediction models in lung cancer screening candidates.

Mariusz Adamek1, Ewa Wachuła1, Sylwia Szabłowska-Siwik1, Agnieszka Boratyn-Nowicka1, Damian Czyżewski1.   

Abstract

From February 2015, low-dose computed tomography (LDCT) screening entered the armamentarium of diagnostic tools broadly available to individuals at high-risk of developing lung cancer. While a huge number of pulmonary nodules are identified, only a small fraction turns out to be early lung cancers. The majority of them constitute a variety of benign lesions. Although it entails a burden of the diagnostic work-up, the undisputable benefit emerges from: (I) lung cancer diagnosis at earlier stages (stage shift); (II) additional findings enabling the implementation of a preventive action beyond the realm of thoracic oncology. This review presents how to utilize the risk factors from distinct categories such as epidemiology, radiology and biomarkers to target the fraction of population, which may benefit most from the introduced screening modality.

Entities:  

Keywords:  Lung cancer; prediction model; risk factor

Year:  2016        PMID: 27195269      PMCID: PMC4860482          DOI: 10.21037/atm.2016.04.03

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


  119 in total

1.  Clinical characteristics and outcomes of patients with small cell lung cancer detected by CT screening.

Authors:  Toshirou Fukushima; Kazunari Tateishi; Hiroshi Yamamoto; Masayuki Hanaoka; Keishi Kubo; Tomonobu Koizumi
Journal:  Med Oncol       Date:  2013-06-06       Impact factor: 3.064

Review 2.  Computed tomography screening for lung cancer in the National Lung Screening Trial: a cost-effectiveness analysis.

Authors:  William C Black
Journal:  J Thorac Imaging       Date:  2015-03       Impact factor: 3.000

Review 3.  Surgical patients with heart disease: summary of the ACC/AHA guidelines. American College of Cardiology/American Heart Association.

Authors:  K A Eagle
Journal:  Am Fam Physician       Date:  1997-09-01       Impact factor: 3.292

4.  Quantitative computed tomography analysis, airflow obstruction, and lung cancer in the pittsburgh lung screening study.

Authors:  David O Wilson; Joseph K Leader; Carl R Fuhrman; John J Reilly; Frank C Sciurba; Joel L Weissfeld
Journal:  J Thorac Oncol       Date:  2011-07       Impact factor: 15.609

5.  Association of Coronary Artery Calcification and Mortality in the National Lung Screening Trial: A Comparison of Three Scoring Methods.

Authors:  Caroline Chiles; Fenghai Duan; Gregory W Gladish; James G Ravenel; Scott G Baginski; Bradley S Snyder; Sarah DeMello; Stephanie S Desjardins; Reginald F Munden
Journal:  Radiology       Date:  2015-03-09       Impact factor: 11.105

Review 6.  Translating the transcriptome into tools for the early detection and prevention of lung cancer.

Authors:  Yaron B Gesthalter; Jessica Vick; Katrina Steiling; Avrum Spira
Journal:  Thorax       Date:  2015-01-27       Impact factor: 9.139

Review 7.  Low-dose computed tomography screening for lung cancer in a clinical setting: essential elements of a screening program.

Authors:  Brady J McKee; Andrea B McKee; Andrea Borondy Kitts; Shawn M Regis; Christoph Wald
Journal:  J Thorac Imaging       Date:  2015-03       Impact factor: 3.000

Review 8.  Lung nodule and cancer detection in computed tomography screening.

Authors:  Geoffrey D Rubin
Journal:  J Thorac Imaging       Date:  2015-03       Impact factor: 3.000

9.  Characteristics of lung cancers detected by computer tomography screening in the randomized NELSON trial.

Authors:  Nanda Horeweg; Carlijn M van der Aalst; Erik Thunnissen; Kristiaan Nackaerts; Carla Weenink; Harry J M Groen; Jan-Willem J Lammers; Joachim G Aerts; Ernst T Scholten; Joost van Rosmalen; Willem Mali; Matthijs Oudkerk; Harry J de Koning
Journal:  Am J Respir Crit Care Med       Date:  2013-04-15       Impact factor: 21.405

Review 10.  CT screening for lung cancer: update 2007.

Authors:  Claudia I Henschke; David F Yankelevitz
Journal:  Oncologist       Date:  2008-01
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  4 in total

1.  Lung Cancer Screening Uncertainty among Patients Undergoing LDCT.

Authors:  Daniel L Hall; Inga T Lennes; Alaina Carr; Justin R Eusebio; Gloria Y Yeh; Elyse R Park
Journal:  Am J Health Behav       Date:  2018-01-01

2.  Performance of various risk prediction models in a large lung cancer screening cohort in Gdańsk, Poland-a comparative study.

Authors:  Marcin Ostrowski; Franciszek Bińczyk; Tomasz Marjański; Robert Dziedzic; Sylwia Pisiak; Sylwia Małgorzewicz; Mariusz Adamek; Joanna Polańska; Witold Rzyman
Journal:  Transl Lung Cancer Res       Date:  2021-02

3.  Estimation of lung cancer risk using homology-based emphysema quantification in patients with lung nodules.

Authors:  Mizuho Nishio; Takeshi Kubo; Kaori Togashi
Journal:  PLoS One       Date:  2019-01-22       Impact factor: 3.240

4.  Development and validation of a prediction model for malignant pulmonary nodules: A cohort study.

Authors:  Zhen Ren; Hongmei Ding; Zhenzhen Cai; Yuan Mu; Lin Wang; Shiyang Pan
Journal:  Medicine (Baltimore)       Date:  2021-12-23       Impact factor: 1.817

  4 in total

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