Assessment of Selection Criteria for Low-Dose Lung Screening CT Among Asian Ethnic Groups in Taiwan: From Mass Screening to Specific Risk-Based Screening for Non-Smoker Lung Cancer
We aim to investigate the impact of applying the NLST eligibility criteria to the population in Taiwan, and to identify additional risk factors to select subjects at risk of lung cancer. Our findings suggest that female gender and a family history of lung cancer are two important predictor. A prospe...
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Published in | Clinical lung cancer Vol. 17; no. 5; pp. e45 - e56 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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United States
Elsevier Inc
01.09.2016
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Abstract | We aim to investigate the impact of applying the NLST eligibility criteria to the population in Taiwan, and to identify additional risk factors to select subjects at risk of lung cancer. Our findings suggest that female gender and a family history of lung cancer are two important predictor. A prospective study design based on survival analysis in non-smoker lung cancer screening is warranted.
The National Lung Screening Trial (NLST) showed low-dose screening chest computed tomography (CT) reduced the lung cancer mortality rate up to 20% in high-risk patients in the United States. We aimed to investigate the impact of applying the NLST eligibility criteria to the population in Taiwan, and to identify additional risk factors to select subjects at risk for lung cancer.
We retrospectively reviewed the medical records of 1763 asymptomatic healthy subjects (age range, 40-80 years) who voluntarily underwent low-dose chest CT (1029 male, 734 female) from August 2013 to August 2014. Clinical information and nodule characteristics were recorded. The results of subsequent follow-up and outcome were also recorded.
A total of 8.4% (148/1763) of subjects would have been eligible for lung cancer screening based on the NLST criteria. However, only 1 of these eligible subjects would have a lung cancer detected at baseline. Among the 1615 subjects who did not meet the NLST criteria, the detection rates of lung cancer were 2.6% in women and 0.56% in men. Logistic regression showed that female gender and a family history of lung cancer were the 2 most important predictors of lung cancer in Taiwan (odds ratio, 6.367; P = .003; odds ratio, 3.017; P = .016, respectively).
In conclusion, NLST eligibility criteria may not be effective in screening for lung cancer in Taiwan. A risk-based prediction model based on the family history of lung cancer and female gender can potentially improve the efficiency of lung cancer screening programs in Taiwan. |
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AbstractList | The National Lung Screening Trial (NLST) showed low-dose screening chest computed tomography (CT) reduced the lung cancer mortality rate up to 20% in high-risk patients in the United States. We aimed to investigate the impact of applying the NLST eligibility criteria to the population in Taiwan, and to identify additional risk factors to select subjects at risk for lung cancer.
We retrospectively reviewed the medical records of 1763 asymptomatic healthy subjects (age range, 40-80 years) who voluntarily underwent low-dose chest CT (1029 male, 734 female) from August 2013 to August 2014. Clinical information and nodule characteristics were recorded. The results of subsequent follow-up and outcome were also recorded.
A total of 8.4% (148/1763) of subjects would have been eligible for lung cancer screening based on the NLST criteria. However, only 1 of these eligible subjects would have a lung cancer detected at baseline. Among the 1615 subjects who did not meet the NLST criteria, the detection rates of lung cancer were 2.6% in women and 0.56% in men. Logistic regression showed that female gender and a family history of lung cancer were the 2 most important predictors of lung cancer in Taiwan (odds ratio, 6.367; P = .003; odds ratio, 3.017; P = .016, respectively).
In conclusion, NLST eligibility criteria may not be effective in screening for lung cancer in Taiwan. A risk-based prediction model based on the family history of lung cancer and female gender can potentially improve the efficiency of lung cancer screening programs in Taiwan. We aim to investigate the impact of applying the NLST eligibility criteria to the population in Taiwan, and to identify additional risk factors to select subjects at risk of lung cancer. Our findings suggest that female gender and a family history of lung cancer are two important predictor. A prospective study design based on survival analysis in non-smoker lung cancer screening is warranted. The National Lung Screening Trial (NLST) showed low-dose screening chest computed tomography (CT) reduced the lung cancer mortality rate up to 20% in high-risk patients in the United States. We aimed to investigate the impact of applying the NLST eligibility criteria to the population in Taiwan, and to identify additional risk factors to select subjects at risk for lung cancer. We retrospectively reviewed the medical records of 1763 asymptomatic healthy subjects (age range, 40-80 years) who voluntarily underwent low-dose chest CT (1029 male, 734 female) from August 2013 to August 2014. Clinical information and nodule characteristics were recorded. The results of subsequent follow-up and outcome were also recorded. A total of 8.4% (148/1763) of subjects would have been eligible for lung cancer screening based on the NLST criteria. However, only 1 of these eligible subjects would have a lung cancer detected at baseline. Among the 1615 subjects who did not meet the NLST criteria, the detection rates of lung cancer were 2.6% in women and 0.56% in men. Logistic regression showed that female gender and a family history of lung cancer were the 2 most important predictors of lung cancer in Taiwan (odds ratio, 6.367; P = .003; odds ratio, 3.017; P = .016, respectively). In conclusion, NLST eligibility criteria may not be effective in screening for lung cancer in Taiwan. A risk-based prediction model based on the family history of lung cancer and female gender can potentially improve the efficiency of lung cancer screening programs in Taiwan. The National Lung Screening Trial (NLST) showed low-dose screening chest computed tomography (CT) reduced the lung cancer mortality rate up to 20% in high-risk patients in the United States. We aimed to investigate the impact of applying the NLST eligibility criteria to the population in Taiwan, and to identify additional risk factors to select subjects at risk for lung cancer.BACKGROUNDThe National Lung Screening Trial (NLST) showed low-dose screening chest computed tomography (CT) reduced the lung cancer mortality rate up to 20% in high-risk patients in the United States. We aimed to investigate the impact of applying the NLST eligibility criteria to the population in Taiwan, and to identify additional risk factors to select subjects at risk for lung cancer.We retrospectively reviewed the medical records of 1763 asymptomatic healthy subjects (age range, 40-80 years) who voluntarily underwent low-dose chest CT (1029 male, 734 female) from August 2013 to August 2014. Clinical information and nodule characteristics were recorded. The results of subsequent follow-up and outcome were also recorded.PATIENTS AND METHODSWe retrospectively reviewed the medical records of 1763 asymptomatic healthy subjects (age range, 40-80 years) who voluntarily underwent low-dose chest CT (1029 male, 734 female) from August 2013 to August 2014. Clinical information and nodule characteristics were recorded. The results of subsequent follow-up and outcome were also recorded.A total of 8.4% (148/1763) of subjects would have been eligible for lung cancer screening based on the NLST criteria. However, only 1 of these eligible subjects would have a lung cancer detected at baseline. Among the 1615 subjects who did not meet the NLST criteria, the detection rates of lung cancer were 2.6% in women and 0.56% in men. Logistic regression showed that female gender and a family history of lung cancer were the 2 most important predictors of lung cancer in Taiwan (odds ratio, 6.367; P = .003; odds ratio, 3.017; P = .016, respectively).RESULTSA total of 8.4% (148/1763) of subjects would have been eligible for lung cancer screening based on the NLST criteria. However, only 1 of these eligible subjects would have a lung cancer detected at baseline. Among the 1615 subjects who did not meet the NLST criteria, the detection rates of lung cancer were 2.6% in women and 0.56% in men. Logistic regression showed that female gender and a family history of lung cancer were the 2 most important predictors of lung cancer in Taiwan (odds ratio, 6.367; P = .003; odds ratio, 3.017; P = .016, respectively).In conclusion, NLST eligibility criteria may not be effective in screening for lung cancer in Taiwan. A risk-based prediction model based on the family history of lung cancer and female gender can potentially improve the efficiency of lung cancer screening programs in Taiwan.CONCLUSIONSIn conclusion, NLST eligibility criteria may not be effective in screening for lung cancer in Taiwan. A risk-based prediction model based on the family history of lung cancer and female gender can potentially improve the efficiency of lung cancer screening programs in Taiwan. Structured abstract Background The National Lung Screening Trial (NLST) showed low-dose screening chest CT reduced lung cancer mortality rate up to 20% in high risk patients in the United States. We aim to investigate the impact of applying the NLST eligibility criteria to the population in Taiwan, and to identify additional risk factors to select subjects at risk of lung cancer. Patients and Methods We retrospectively review the medical record of 1763 asymptomatic healthy subjects (40∼80 year old) who voluntarily underwent low-dose chest CT (1029 male, 734 female) from August 2013 to August 2014. Clinical information and nodule characteristics were recorded. Results of subsequent follow-up and outcome were also recorded. Results 8.4% (148/1763) of subjects would have been eligible for lung cancer screening based on the NLST criteria. However, only one of these eligible subjects would have a lung cancer detected at baseline. Among the 1615 subjects who did not meet the NLST criteria, the detection rates of lung cancer was 2.6% in women and 0.56% in men. Logistic regression showed that female gender and a family history of lung cancer were the two most important predictor of lung cancer in Taiwan (odds ratio of 6.367, P value = 0.003; odds ratio of 3.017, P value = 0.016, respectively). Conclusions In conclusion, NLST eligibility criteria may not be effective in screening lung cancer in Taiwan. Risk-based prediction model based on the family history of lung cancer and female gender can potentially improve efficiency of lung cancer screening programs in Taiwan. |
Author | Huang, Yi-Luan Tang, En-Kuei Mar, Guang-Yuan Wu, Ming-Ting Yen, Yu Wu, Fu-Zong Chen, Chi-Shen Wu, Carol C. |
Author_xml | – sequence: 1 givenname: Fu-Zong surname: Wu fullname: Wu, Fu-Zong organization: Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan – sequence: 2 givenname: Yi-Luan surname: Huang fullname: Huang, Yi-Luan organization: Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan – sequence: 3 givenname: Carol C. surname: Wu fullname: Wu, Carol C. organization: Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, TX – sequence: 4 givenname: En-Kuei surname: Tang fullname: Tang, En-Kuei organization: Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan – sequence: 5 givenname: Chi-Shen surname: Chen fullname: Chen, Chi-Shen organization: Physical Examination Center, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan – sequence: 6 givenname: Guang-Yuan surname: Mar fullname: Mar, Guang-Yuan organization: Physical Examination Center, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan – sequence: 7 givenname: Yu surname: Yen fullname: Yen, Yu organization: Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan – sequence: 8 givenname: Ming-Ting surname: Wu fullname: Wu, Ming-Ting email: wu.mingting@gmail.com organization: Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27133540$$D View this record in MEDLINE/PubMed |
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Keywords | Adenocarcinoma Lung-RADS Lung cancer Screening criteria Smoking chest radiography screening part-solid nodules VATS PACS United States non-smoker DLP LDCT PSNs lung cancer FBP odds ratios PGGNs The ACR Lung Imaging Reporting and Data System computed tomography dose length product OR CI adenocarcinoma pure groundglass nodules low dose CT (LDCT) low dose CT picture archiving and communication system CT National Lung Screening Trial filtered back projection confidence interval NLST U.S CXR video-assisted thoracoscopic surgery COPD chronic obstructive pulmonary disease |
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Snippet | We aim to investigate the impact of applying the NLST eligibility criteria to the population in Taiwan, and to identify additional risk factors to select... Structured abstract Background The National Lung Screening Trial (NLST) showed low-dose screening chest CT reduced lung cancer mortality rate up to 20% in high... The National Lung Screening Trial (NLST) showed low-dose screening chest computed tomography (CT) reduced the lung cancer mortality rate up to 20% in high-risk... |
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SubjectTerms | Adenocarcinoma Adult Aged Aged, 80 and over Asian Continental Ancestry Group - statistics & numerical data Early Detection of Cancer - methods Ethnic Groups - statistics & numerical data Female Follow-Up Studies Hematology, Oncology and Palliative Medicine Humans Logistic Models Lung cancer Lung Neoplasms - diagnostic imaging Lung Neoplasms - epidemiology Lung Neoplasms - pathology Lung-RADS Male Mass Screening - methods Middle Aged Patient Selection Pulmonary/Respiratory Retrospective Studies Risk Factors Screening criteria Sex Factors Smoking Taiwan - epidemiology Tomography, X-Ray Computed - methods |
Title | Assessment of Selection Criteria for Low-Dose Lung Screening CT Among Asian Ethnic Groups in Taiwan: From Mass Screening to Specific Risk-Based Screening for Non-Smoker Lung Cancer |
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