Objective
To report the initial baseline lung cancer screening results with low dose computed
tomography (LDCT) in a multicenter study in Shanghai.
Methods
A total of 14,506 subjects underwent LDCT lung cancer screening and completed questionnaires
consisting of 13 risk factors for lung cancer in the prospective study. The positive
result was defined as any size and density nodule. The nodules were classified into
calcified, solid, part-solid, and nonsolid nodules. The positive rate and incidental
detection rate of lung cancer and stage I lung cancer were calculated. The proportion
of lung nodule and lung cancer with different density and size was analyzed.
Results
The positive rate and incidental detection rate of lung cancer was 29.89% and 1.23%,
respectively. The incidental detection rate of stage I lung cancer was 0.97%. The
proportion of lung cancer in lung nodules and stage I in lung cancer was 3.48% and
81.09%, respectively. The ratio of nonsolid nodule, part-solid nodule, and solid nodule
in lung cancer was 52.94%, 31.93%, and 15.13%, respectively. 74.88% lung nodules were
less than 5 mm and 94.12% lung cancers were larger than 5mm in size.
Conclusion
The baseline LDCT lung cancer screening showed subsolid nodules accounted for the
majority of lung cancer, and 5 mm in size would be recommended as the positive result
threshold.
Key Words
Abbreviations:
I-ELCAP (International Early Lung Cancer Action Project), ITALUNG (Italian Lung Cancer Screening Trial), LDCT (Low dose computed tomography), NELSON (Nederlands-Leuvens Longkanker Screenings Onderzoek), NLST (National Lung Screening Trial), WHO (World Health Organization)To read this article in full you will need to make a payment
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Article info
Publication history
Published online: December 14, 2018
Accepted:
December 1,
2018
Received in revised form:
November 22,
2018
Received:
October 31,
2018
Footnotes
Funding: This work was supported by the National Key R&D Program of China [grant number 2016YFE0103000, 2017YFC1308703]; the National Natural Science Foundation of China [grant number 81871321, 81370035].
Identification
Copyright
© 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.
