Literature DB >> 11147630

Early lung cancer action project: overall design and findings from baseline screening.

C I Henschke1.   

Abstract

BACKGROUND: The Early Lung Cancer Action Project (ELCAP) is designed to evaluate baseline and annual repeat screening by low radiation dose computed tomography (low-dose CT) in persons at high-risk for lung cancer. The authors report on the baseline screening experience. For full evaluation of screening, they await the results of annual repeat screening.
METHODS: Using a novel non-comparative design, enrollment of 1000 asymptomatic persons, 60 years of age or older, with at least 10 pack-years of cigarette smoking, no prior cancer, and who were medically fit to undergo thoracic surgery was initiated in 1993. After a structured interview and informed consent, chest radiographs (CXR) and low-dose CT were obtained on each subject. The diagnostic workup of screen-detected noncalcified pulmonary nodules (NCNs) was guided by ELCAP recommendations which included short-term high-resolution CT (HRCT) follow-up for the smallest NCNs.
RESULTS: On low-dose CT at baseline as compared to CXR, NCNs were detected three times as commonly (23% vs. 7%), malignancies four times as commonly (2.7% vs. 0.7%), Stage I malignancies six times as commonly (2.3% vs. 0.4%). Of the 27 CT-detected cancers, 96% (26/27) were resectable; 85% (23/27) were Stage I, 19 (83%) of the 23 were not seen on CXR. Following the ELCAP recommendations, biopsies were performed on 28 of the 233 subjects with NCNs; 27 had a malignant NCN and one had a benign one. Another three individuals underwent biopsy outside of the ELCAP recommendations, all had benign NCNs. No one had thoracotomy for a benign nodule.
CONCLUSIONS: The estimated five-year survival rate of baseline CT-detected malignancies of 60%-80% is a marked improvement over the current rate of 15%. Although false-positive CTs are common, they can be managed with minimal use of invasive diagnostic procedures.

Entities:  

Mesh:

Year:  2000        PMID: 11147630     DOI: 10.1002/1097-0142(20001201)89:11+<2474::aid-cncr26>3.3.co;2-u

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  28 in total

1.  A comparison of digital tomosynthesis and chest radiography in evaluating airway lesions using computed tomography as a reference.

Authors:  Ji Yung Choo; Ki Yeol Lee; Ami Yu; Je-Hyeong Kim; Seung Heon Lee; Jung Won Choi; Eun-Young Kang; Yu Whan Oh
Journal:  Eur Radiol       Date:  2015-12-11       Impact factor: 5.315

2.  Computed tomographic screening for lung cancer.

Authors:  Michael Lock; George Rodrigues
Journal:  Can Fam Physician       Date:  2007-08       Impact factor: 3.275

Review 3.  Cancer screening in renal transplant recipients: what is the evidence?

Authors:  Germaine Wong; Jeremy R Chapman; Jonathan C Craig
Journal:  Clin J Am Soc Nephrol       Date:  2008-03       Impact factor: 8.237

4.  Automated pulmonary nodule detection in CT images using 3D deep squeeze-and-excitation networks.

Authors:  Li Gong; Shan Jiang; Zhiyong Yang; Guobin Zhang; Lu Wang
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-04-26       Impact factor: 2.924

5.  Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning.

Authors:  Shikun Zhang; Fengrong Sun; Naishun Wang; Cuicui Zhang; Qianlei Yu; Mingqiang Zhang; Paul Babyn; Hai Zhong
Journal:  J Digit Imaging       Date:  2019-12       Impact factor: 4.056

6.  Imaging-guided thoracoscopic resection of a ground-glass opacity lesion in a hybrid operating room equipped with a robotic C-arm CT system.

Authors:  Chen-Ping Hsieh; Ming-Ju Hsieh; Hsin-Yueh Fang; Yin-Kai Chao
Journal:  J Thorac Dis       Date:  2017-05       Impact factor: 2.895

7.  Agar blue localization of small pulmonary nodules and ground glass opacifications for thoracoscopic resection.

Authors:  Ara S Klijian
Journal:  J Thorac Dis       Date:  2016-10       Impact factor: 2.895

8.  Ultra-low-dose MDCT of the chest: influence on automated lung nodule detection.

Authors:  Ji Young Lee; Myung Jin Chung; Chin A Yi; Kyung Soo Lee
Journal:  Korean J Radiol       Date:  2008 Mar-Apr       Impact factor: 3.500

9.  Relationship between tumor size and disease stage in non-small cell lung cancer.

Authors:  Fu Yang; Haiquan Chen; Jiaqing Xiang; Yawei Zhang; Jianhua Zhou; Hong Hu; Jie Zhang; Xiaoyang Luo
Journal:  BMC Cancer       Date:  2010-09-02       Impact factor: 4.430

Review 10.  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

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