A Population-based Cohort Study to Evaluate the Effectiveness of Lung Cancer Screening Using Low-dose CT in Hitachi City, Japan
Overview
Authors
Affiliations
Objectives: To evaluate the effectiveness of lung cancer screening using low-dose computed tomography for the general population, we conducted a retrospective cohort study of screening for participants among Hitachi residents.
Materials And Methods: Citizens aged 50-74 who underwent low-dose computed tomography screening at least once during 1998-2006 were defined as the computed tomography group, and those who underwent X-ray screening at least once during the same period, but did not receive low-dose computed tomography screening throughout the follow-up period, were defined as the XP group. We investigated the lung cancer incidence rate, mortality rate and all-cause mortality rate for both groups from the first lung cancer screening to the end of 2012.
Results: In the computed tomography group (17 935 residents; 9790 males and 8145 females), 273 cases of lung cancer (1.5%), 72 cases of lung cancer death (0.4%), and 885 cases of all-cause death (4.9%) were observed. On the other hand, 164 cases (1.1%) of lung cancer, 80 cases (0.5%) of lung cancer death and 1188 cases (7.6%) of all-cause death were observed in the XP group (15 548 residents; 6526 males and 9022 females). The hazard ratios of the computed tomography group to the XP group adjusted for gender, age and smoking history were 1.23 for lung cancer incidence rate, 0.49 for lung cancer mortality rate and 0.57 for all-cause mortality rate. Non-smokers and light smokers (<30 pack-years) had a significantly lower lung cancer mortality (0.41 and 0.21, respectively).
Conclusion: low-dose computed tomography screening for a population including non-smokers and light smokers may be effective.
Pires D, Chaves L, Dantas Cardoso C, Faria L, Rodrigues Campos S, da Silva M PLoS One. 2024; 19(9):e0308106.
PMID: 39259749 PMC: 11389911. DOI: 10.1371/journal.pone.0308106.
Lung adenocarcinoma patients with -rearranged tumors by sex and smoking intensity.
Peng Y, Ernani V, Liu D, Guo Q, Hopps M, Cappelleri J Heliyon. 2024; 10(7):e28285.
PMID: 38560203 PMC: 10981064. DOI: 10.1016/j.heliyon.2024.e28285.
Opportunistic osteoporosis screening using chest CT with artificial intelligence.
Yang J, Liao M, Wang Y, Chen L, He L, Ji Y Osteoporos Int. 2022; 33(12):2547-2561.
PMID: 35931902 DOI: 10.1007/s00198-022-06491-y.
Radiomics in Early Lung Cancer Diagnosis: From Diagnosis to Clinical Decision Support and Education.
Wu Y, Wu F, Yang S, Tang E, Liang C Diagnostics (Basel). 2022; 12(5).
PMID: 35626220 PMC: 9139351. DOI: 10.3390/diagnostics12051064.
Advances in lung cancer screening and early detection.
Li C, Wang H, Jiang Y, Fu W, Liu X, Zhong R Cancer Biol Med. 2022; .
PMID: 35535966 PMC: 9196057. DOI: 10.20892/j.issn.2095-3941.2021.0690.