Literature DB >> 19481832

The adenocarcinoma-specific stage shift in the Anti-lung Cancer Association project: significance of repeated screening for lung cancer for more than 5 years with low-dose helical computed tomography in a high-risk cohort.

Nobuhiko Seki1, Kenji Eguchi, Masahiro Kaneko, Hironobu Ohmatsu, Ryutaro Kakinuma, Eisuke Matsui, Masahiko Kusumoto, Takaaki Tsuchida, Hiroyuki Nishiyama, Noriyuki Moriyama.   

Abstract

BACKGROUND: We investigated whether a stage shift occurs during long-term repeated screening for lung cancer with low-dose helical computed tomography (LDCT) in a high-risk cohort.
METHODS: A total of 2120 subjects (mean age, 63 years; 87% male and 83% smokers) were continuously recruited and underwent repeated screening with LDCT from 1993 through 2004.
RESULTS: Nineteen lung cancers were detected at baseline examinations (prevalence cancers), and 57 lung cancers were detected at subsequent examinations (incidence cancers). For both prevalence cancers and incidence cancers, adenocarcinoma (74% and 63%, respectively), especially invasive adenocarcinoma (42% and 23%, respectively), was the most common histological diagnosis, and stage IA was the most common pathological stage (58% and 79%, respectively). The detection rate of incidence cancers other than bronchioloalveolar carcinoma became significantly higher after 5 years of LDCT examinations (r=0.50, P=0.020). Moreover, both the percentage of cancers of stage II-IV and tumor size became significantly lower for invasive adenocarcinoma after 5 years of LDCT examinations (r=-0.77, P=0.007 and r=-0.60, P=0.029, respectively).
CONCLUSIONS: Repeated screening for more than 5 years might demonstrate the efficacy of LDCT screening for lung cancer through an adenocarcinoma-specific stage shift.

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Year:  2009        PMID: 19481832     DOI: 10.1016/j.lungcan.2009.04.016

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  4 in total

1.  Three-Dimensional Texture Feature Analysis of Pulmonary Nodules in CT Images: Lung Cancer Predictive Models Based on Support Vector Machine Classifier.

Authors:  Ni Gao; Sijia Tian; Xia Li; Jian Huang; Jingjing Wang; Sipeng Chen; Yuan Ma; Xiangtong Liu; Xiuhua Guo
Journal:  J Digit Imaging       Date:  2020-04       Impact factor: 4.056

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

Review 3.  [Comparative values of different imaging methods in lung cancer screening].

Authors:  Bojiang Chen; Weimin Li
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2010-10

4.  Prognostic impact of serum albumin levels on the recurrence of stage I non-small cell lung cancer.

Authors:  Ying Jin; Li Zhao; Fang Peng
Journal:  Clinics (Sao Paulo)       Date:  2013-05       Impact factor: 2.365

  4 in total

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