Literature DB >> 29433723

Reviewing Lung Cancer Screening: The Who, Where, When, Why, and How.

Brett C Bade1, Paul B Brasher2, Branden W Luna2, Gerard A Silvestri2, Nichole T Tanner3.   

Abstract

Lung cancer screening with annual low-dose computed tomography (CT) decreases lung cancer mortality in high-risk patients, as defined by smoking history (> 30 pack-years) and age (55-74 years). Risks to screening include overdiagnosis, anxiety about indeterminate nodules, and radiation exposure. To be effective, lung cancer screening must combine individualized risk assessment, shared decision-making, smoking cessation, structured reporting, high quality and multi-specialty cancer care, and reliable follow-up; a multidisciplinary approach is crucial. Specialty organizations have outlined both the components of high quality lung cancer screening programs and the proposed metrics that programs should track. Long-term outcomes of lung cancer screening in the general population, further refinement of who to screen, and use of biomarkers for early cancer detection are ongoing research questions. Published by Elsevier Inc.

Entities:  

Keywords:  Computed tomography; Lung cancer; National Lung Screening Trial; Screening

Mesh:

Year:  2018        PMID: 29433723     DOI: 10.1016/j.ccm.2017.09.003

Source DB:  PubMed          Journal:  Clin Chest Med        ISSN: 0272-5231            Impact factor:   2.878


  4 in total

1.  Vinculin expression in non-small cell lung cancer.

Authors:  Qiuli Yu; Liqin Xu; Long Chen; Baier Sun; Zhiyun Yang; Kunqin Lu; Zhiyong Yang
Journal:  J Int Med Res       Date:  2019-04-05       Impact factor: 1.671

Review 2.  Lung Cancer Screening: Review and 2021 Update.

Authors:  Anuradha Ramaswamy
Journal:  Curr Pulmonol Rep       Date:  2022-04-02

3.  Nursing and Allied Health Research Priorities in the Care of Patients With Thoracic Malignancies: An International Cross-Sectional Survey.

Authors:  Alex Molassiotis; Anne Fraser; Melissa Culligan; Pippa Labuc; Degi L Csaba; Andreas Charalambous
Journal:  Front Oncol       Date:  2020-10-26       Impact factor: 6.244

4.  Design Computer-Aided Diagnosis System Based on Chest CT Evaluation of Pulmonary Nodules.

Authors:  Hui Wang; Yanying Li; Shanshan Liu; Xianwen Yue
Journal:  Comput Math Methods Med       Date:  2022-01-10       Impact factor: 2.238

  4 in total

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