Literature DB >> 32008631

Lung Cancer Screening: Patient Selection and Implementation.

Nina A Thomas1, Nichole T Tanner2.   

Abstract

Robust evidence exists in support of lung cancer (LC) screening with low-dose computed tomography in patients at high risk of developing LC; however, judicious patient selection is necessary to obtain optimal benefit while minimizing harm. Several professional societies have published recommendations regarding patient selection criteria for screening. Multiple risk prediction models that include additional patient-specific risk factors have since been developed to more accurately predict risk of developing LC. Implementation of a new screening program requires thorough multidisciplinary planning and maintenance. Multisociety guidelines highlight 9 principal components to implement and maintain a successful program.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Implementation science; Lung cancer; Patient selection; Risk prediction; Screening; Shared decision making

Mesh:

Year:  2020        PMID: 32008631     DOI: 10.1016/j.ccm.2019.10.006

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


  2 in total

1.  Identification and Validation of Afatinib Potential Drug Resistance Gene BIRC5 in Non-Small Cell Lung Cancer.

Authors:  Xiaoxi Zhu; Renyu Zhou; Yuanzhi Lu; Ying Zhang; Qiang Chen; Yin Li
Journal:  Front Oncol       Date:  2021-11-03       Impact factor: 6.244

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

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

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