Literature DB >> 29218678

Low-dose CT for lung cancer screening: opportunities and challenges.

Hongbing Shen1,2.   

Abstract

Lung cancer is among the most frequently diagnosed cancers worldwide and the leading cause of cancer death in both males and females. Screening for lung cancer coupled with earlier intervention has long been studied as an approach to mortality reduction. However, minimal progress was achieved until recently, when lowdose spiral computed tomography (LDCT) screening demonstrated a 20% reduction in mortality from lung cancer in a randomized controlled trial (RCT), the National Lung Screening Trial, from the United States. On the basis of this finding, LDCT has been recommended for lung cancer screening in high-risk populations by several clinical guidelines. However, results from the following independent RCTs in Europe failed to show consistent conclusions. In addition, intractable problems gradually emerged with the progress of LDCTscreening. This paper summarizes and discusses the main observations and challenges of LDCT screening for lung cancer. Before spreading implementation of LDCTscreening, challenges, including high false-positive rates, overdiagnosis, enormous costs, and radiation risk, must be addressed. Complementary biomarkers and technical improvement are expected in the field of lung cancer screening in the near future.

Entities:  

Keywords:  challenges; early detection; low-dose computerized tomography; lung cancer; opportunities

Mesh:

Year:  2017        PMID: 29218678     DOI: 10.1007/s11684-017-0600-1

Source DB:  PubMed          Journal:  Front Med        ISSN: 2095-0217            Impact factor:   4.592


  12 in total

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2.  Consistency of radiologists in identifying pulmonary nodules based on low-dose computed tomography.

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3.  Use of amantadine as substrate for SSAT-1 activity as a reliable clinical diagnostic assay for breast and lung cancer.

Authors:  Andrew W Maksymiuk; Paramjit S Tappia; Daniel S Sitar; Parveen S Akhtar; Nazrina Khatun; Rahnuma Parveen; Rashiduzzaman Ahmed; Rashid Bux Ahmed; Brian Cheng; Gina Huang; Horacio Bach; Brett Hiebert; Bram Ramjiawan
Journal:  Future Sci OA       Date:  2018-12-11

4.  Predictive value and clinical significance of increased SSAT-1 activity in healthy adults.

Authors:  Paramjit S Tappia; Andrew W Maksymiuk; Daniel S Sitar; Parveen S Akhtar; Nazrina Khatun; Rahnuma Parveen; Rashiduzzaman Ahmed; Rashid B Ahmed; Brian Cheng; Gina Huang; Horacio Bach; Brett Hiebert; Bram Ramjiawan
Journal:  Future Sci OA       Date:  2019-07-01

5.  Time Difference of Arrival on Contrast-Enhanced Ultrasound in Distinguishing Benign Inflammation From Malignant Peripheral Pulmonary Lesions.

Authors:  Min Tang; Qianrong Xie; Jiasi Wang; Xiaoyu Zhai; Hong Lin; Xiaoxue Zheng; Guoli Wei; Yan Tang; Fanwei Zeng; Yanpeng Chu; Jianqiong Song; Jianqiang Cai; Fanxin Zeng
Journal:  Front Oncol       Date:  2020-11-12       Impact factor: 6.244

6.  Neutral Desorption Extractive Electrospray Ionization Mass Spectrometry Analysis Sputum for Non-Invasive Lung Adenocarcinoma Detection.

Authors:  Qiaoling Zheng; Jianyong Zhang; Xinchen Wang; Wenxiong Zhang; Yipo Xiao; Sheng Hu; Jianjun Xu
Journal:  Onco Targets Ther       Date:  2021-01-15       Impact factor: 4.147

Review 7.  Early diagnosis of lung cancer: which is the optimal choice?

Authors:  Jing Ning; Tao Ge; Minlin Jiang; Keyi Jia; Lei Wang; Wei Li; Bin Chen; Yu Liu; Hao Wang; Sha Zhao; Yayi He
Journal:  Aging (Albany NY)       Date:  2021-02-11       Impact factor: 5.682

8.  The Association Between PNPLA2 Methylation in Peripheral Blood and Early-Stage Lung Cancer in a Case-Control Study.

Authors:  Rong Qiao; Mengxia Li; Runbo Zhong; Yujie Wei; Jun Wang; Zheng Zhang; Ling Wang; Tian Xu; Yue Wang; Liping Dai; Wanjian Gu; Baohui Han; Rongxi Yang
Journal:  Cancer Manag Res       Date:  2021-10-15       Impact factor: 3.989

9.  Image Quality and Pulmonary Nodule Detectability at Low-dose Computed Tomography (low kVp and mAs): A phantom study.

Authors:  Sepideh Iranmakani; Amir Reza Jahanshahi; Parinaz Mehnati; Tohid Mortezazadeh; Davood Khezerloo
Journal:  J Med Signals Sens       Date:  2021-12-28

10.  The diagnostic accuracy of artificial intelligence in thoracic diseases: A protocol for systematic review and meta-analysis.

Authors:  Yi Yang; Gang Jin; Yao Pang; Wenhao Wang; Hongyi Zhang; Guangxin Tuo; Peng Wu; Zequan Wang; Zijiang Zhu
Journal:  Medicine (Baltimore)       Date:  2020-02       Impact factor: 1.817

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