Literature DB >> 33046839

Lung cancer LDCT screening and mortality reduction - evidence, pitfalls and future perspectives.

Matthijs Oudkerk1,2, ShiYuan Liu3, Marjolein A Heuvelmans4,5, Joan E Walter6, John K Field7.   

Abstract

In the past decade, the introduction of molecularly targeted agents and immune-checkpoint inhibitors has led to improved survival outcomes for patients with advanced-stage lung cancer; however, this disease remains the leading cause of cancer-related mortality worldwide. Two large randomized controlled trials of low-dose CT (LDCT)-based lung cancer screening in high-risk populations - the US National Lung Screening Trial (NLST) and NELSON - have provided evidence of a statistically significant mortality reduction in patients. LDCT-based screening programmes for individuals at a high risk of lung cancer have already been implemented in the USA. Furthermore, implementation programmes are currently underway in the UK following the success of the UK Lung Cancer Screening (UKLS) trial, which included the Liverpool Health Lung Project, Manchester Lung Health Check, the Lung Screen Uptake Trial, the West London Lung Cancer Screening pilot and the Yorkshire Lung Screening trial. In this Review, we focus on the current evidence on LDCT-based lung cancer screening and discuss the clinical developments in high-risk populations worldwide; additionally, we address aspects such as cost-effectiveness. We present a framework to define the scope of future implementation research on lung cancer screening programmes referred to as Screening Planning and Implementation RAtionale for Lung cancer (SPIRAL).

Entities:  

Year:  2020        PMID: 33046839     DOI: 10.1038/s41571-020-00432-6

Source DB:  PubMed          Journal:  Nat Rev Clin Oncol        ISSN: 1759-4774            Impact factor:   66.675


  124 in total

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Journal:  N Engl J Med       Date:  2020-05-28       Impact factor: 91.245

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Journal:  Ann Oncol       Date:  2019-07-01       Impact factor: 32.976

10.  UK Lung Cancer RCT Pilot Screening Trial: baseline findings from the screening arm provide evidence for the potential implementation of lung cancer screening.

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  56 in total

1.  Development and validation of qualitative and quantitative models to predict invasiveness of lung adenocarcinomas manifesting as pure ground-glass nodules based on low-dose computed tomography during lung cancer screening.

Authors:  Jieke Liu; Xi Yang; Yong Li; Hao Xu; Changjiu He; Haomiao Qing; Jing Ren; Peng Zhou
Journal:  Quant Imaging Med Surg       Date:  2022-05

2.  Development of deep learning-assisted overscan decision algorithm in low-dose chest CT: Application to lung cancer screening in Korean National CT accreditation program.

Authors:  Sihwan Kim; Woo Kyoung Jeong; Jin Hwa Choi; Jong Hyo Kim; Minsoo Chun
Journal:  PLoS One       Date:  2022-09-29       Impact factor: 3.752

3.  P3H4 Promotes Malignant Progression of Lung Adenocarcinoma via Interaction with EGFR.

Authors:  Chen Fang; Yingkuan Liang; Yong Huang; Dong Jiang; Jiaxi Li; Haitao Ma; Lingchuan Guo; Wei Jiang; Yu Feng
Journal:  Cancers (Basel)       Date:  2022-07-01       Impact factor: 6.575

4.  Development of a Prognostic Alternative Splicing Signature Associated With Tumor Microenvironment Immune Profiles in Lung Adenocarcinoma.

Authors:  Guangyao Bao; Tian Li; Xiaojiao Guan; Yao Yao; Jie Liang; Yifan Xiang; Xinwen Zhong
Journal:  Front Oncol       Date:  2022-06-27       Impact factor: 5.738

5.  Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer.

Authors:  Yang Yang; Zhouyao Qian; Mingyang Feng; Weiting Liao; Qiuji Wu; Feng Wen; Qiu Li
Journal:  BMC Bioinformatics       Date:  2022-10-19       Impact factor: 3.307

6.  Screening human lung cancer with predictive models of serum magnetic resonance spectroscopy metabolomics.

Authors:  Tjada A Schult; Mara J Lauer; Yannick Berker; Marcella R Cardoso; Lindsey A Vandergrift; Piet Habbel; Johannes Nowak; Matthias Taupitz; Martin Aryee; Mari A Mino-Kenudson; David C Christiani; Leo L Cheng
Journal:  Proc Natl Acad Sci U S A       Date:  2021-12-21       Impact factor: 12.779

7.  Estimating heterogeneous survival treatment effects of lung cancer screening approaches: A causal machine learning analysis.

Authors:  Liangyuan Hu; Jung-Yi Lin; Keith Sigel; Minal Kale
Journal:  Ann Epidemiol       Date:  2021-06-23       Impact factor: 6.996

8.  Comparison of Radiomic Models Based on Low-Dose and Standard-Dose CT for Prediction of Adenocarcinomas and Benign Lesions in Solid Pulmonary Nodules.

Authors:  Jieke Liu; Hao Xu; Haomiao Qing; Yong Li; Xi Yang; Changjiu He; Jing Ren; Peng Zhou
Journal:  Front Oncol       Date:  2021-02-02       Impact factor: 6.244

9.  Oncogenic role of abnormal spindle‑like microcephaly‑associated protein in lung adenocarcinoma.

Authors:  Jiang Wang; Jinghui Liang; Haixia Li; Jingyi Han; Jin Jiang; Yongmeng Li; Zitong Feng; Renchang Zhao; Hui Tian
Journal:  Int J Oncol       Date:  2021-03-31       Impact factor: 5.650

Review 10.  Lung cancer screening in Europe: where are we in 2021?

Authors:  Jan P van Meerbeeck; Caro Franck
Journal:  Transl Lung Cancer Res       Date:  2021-05
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