Literature DB >> 13678090

Low-dose computed tomography screening for lung cancer in a general population: characteristics of cancer in non-smokers versus smokers.

Feng Li1, Shusuke Sone, Hiroyuki Abe, Heber MacMahon, Kunio Doi.   

Abstract

RATIONALE AND
OBJECTIVES: To report the detection rate for lung cancers in computed tomography (CT) screening in Japanese adults, and to analyze differences in the appearance of the cancers in non-smokers versus smokers.
MATERIALS AND METHODS: Subjects consisted of 7,847 Japanese adults who received low-dose CT screening at least once in a 3-year period. The detection rate of lung cancers and the correlation of imaging, clinical, and pathologic findings of cancers in non-smokers versus smokers were examined.
RESULTS: The detection rate for lung cancer was 1.1% for both non-smokers (45 of 4,251) and smokers (39 of 3,596). The prevalence of well-differentiated adenocarcinomas was greater in non-smokers (88%; 22 of 25) than in smokers (29%; 4 of 14) (P < .001). The prevalence and incidence of pathologic stage IA disease were greater in non-smokers than in smokers (92%; [22 of 24] vs 58% [7 of 12], and 100% [19 of 19] vs 70% [14 of 20]) (both P < .05). The mean size of the tumors in the non-smokers (12.4 mm) was smaller than that in smokers (18.2 mm) (P < .001). The percentage of cancers categorized as pure or mixed ground-glass opacity (86%; 38 of 44) on CT was greater in non-smokers than in smokers (46%; 16 of 35) (P < .001).
CONCLUSION: Most of the lung cancers in non-smokers were slow-growing adenocarcinomas appearing as faint ground-glass opacities on CT, whereas rapidly growing cancers appearing as solid nodules were more commonly seen in smokers.

Entities:  

Mesh:

Year:  2003        PMID: 13678090     DOI: 10.1016/s1076-6332(03)00150-8

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  6 in total

Review 1.  Population screening for lung cancer using computed tomography, is there evidence of clinical effectiveness? A systematic review of the literature.

Authors:  Corri Black; Robyn de Verteuil; Shonagh Walker; Jon Ayres; Angela Boland; Adrian Bagust; Norman Waugh
Journal:  Thorax       Date:  2007-02       Impact factor: 9.139

Review 2.  Can CT Screening Give Rise to a Beneficial Stage Shift in Lung Cancer Patients? Systematic Review and Meta-Analysis.

Authors:  Zixing Wang; Yaoda Hu; Yuyan Wang; Wei Han; Lei Wang; Fang Xue; Xin Sui; Wei Song; Ruihong Shi; Jingmei Jiang
Journal:  PLoS One       Date:  2016-10-13       Impact factor: 3.240

3.  The assessment of the role of baseline low-dose CT scan in patients at high risk of lung cancer.

Authors:  Katarzyna Kołaczyk; Anna Walecka; Tomasz Grodzki; Jacek Alchimowicz; Andrzej Smereczyński; Radosław Kiedrowicz
Journal:  Pol J Radiol       Date:  2014-07-18

4.  Lung Cancer Screening with Low-Dose CT in Female Never Smokers: Retrospective Cohort Study with Long-term National Data Follow-up.

Authors:  Hyae Young Kim; Kyu-Won Jung; Kun Young Lim; Soo-Hyun Lee; Jae Kwan Jun; Jeongseon Kim; Bin Hwangbo; Jin Soo Lee
Journal:  Cancer Res Treat       Date:  2017-07-17       Impact factor: 4.679

5.  Assessment of anxiety and depression in patients with incidental pulmonary nodules and analysis of its related impact factors.

Authors:  Lihong Li; Yan Zhao; Hui Li
Journal:  Thorac Cancer       Date:  2020-03-25       Impact factor: 3.500

6.  Predictive model for the diagnosis of benign/malignant small pulmonary nodules.

Authors:  Weisong Chen; Dan Zhu; Hui Chen; Jianfeng Luo; Haiwei Fu
Journal:  Medicine (Baltimore)       Date:  2020-04       Impact factor: 1.817

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.