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

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,...

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Veröffentlicht in:Clinical lung cancer 2016-09, Vol.17 (5), p.e45-e56
Hauptverfasser: Wu, Fu-Zong, Huang, Yi-Luan, Wu, Carol C, Tang, En-Kuei, Chen, Chi-Shen, Mar, Guang-Yuan, Yen, Yu, Wu, Ming-Ting
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container_end_page e56
container_issue 5
container_start_page e45
container_title Clinical lung cancer
container_volume 17
creator Wu, Fu-Zong
Huang, Yi-Luan
Wu, Carol C
Tang, En-Kuei
Chen, Chi-Shen
Mar, Guang-Yuan
Yen, Yu
Wu, Ming-Ting
description 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.
doi_str_mv 10.1016/j.cllc.2016.03.004
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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.</description><identifier>ISSN: 1525-7304</identifier><identifier>EISSN: 1938-0690</identifier><identifier>DOI: 10.1016/j.cllc.2016.03.004</identifier><identifier>PMID: 27133540</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adenocarcinoma ; Adult ; Aged ; Aged, 80 and over ; Asian Continental Ancestry Group - statistics &amp; numerical data ; Early Detection of Cancer - methods ; Ethnic Groups - statistics &amp; 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</subject><ispartof>Clinical lung cancer, 2016-09, Vol.17 (5), p.e45-e56</ispartof><rights>Elsevier Inc.</rights><rights>2016 Elsevier Inc.</rights><rights>Copyright © 2016 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c477t-90b68c58e69ab56d01437677410a52b5d299ac489d638a3bcd8ca8bad3ca892f3</citedby><cites>FETCH-LOGICAL-c477t-90b68c58e69ab56d01437677410a52b5d299ac489d638a3bcd8ca8bad3ca892f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S152573041630033X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27133540$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wu, Fu-Zong</creatorcontrib><creatorcontrib>Huang, Yi-Luan</creatorcontrib><creatorcontrib>Wu, Carol C</creatorcontrib><creatorcontrib>Tang, En-Kuei</creatorcontrib><creatorcontrib>Chen, Chi-Shen</creatorcontrib><creatorcontrib>Mar, Guang-Yuan</creatorcontrib><creatorcontrib>Yen, Yu</creatorcontrib><creatorcontrib>Wu, Ming-Ting</creatorcontrib><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</title><title>Clinical lung cancer</title><addtitle>Clin Lung Cancer</addtitle><description>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.</description><subject>Adenocarcinoma</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Asian Continental Ancestry Group - statistics &amp; numerical data</subject><subject>Early Detection of Cancer - methods</subject><subject>Ethnic Groups - statistics &amp; numerical data</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Hematology, Oncology and Palliative Medicine</subject><subject>Humans</subject><subject>Logistic Models</subject><subject>Lung cancer</subject><subject>Lung Neoplasms - diagnostic imaging</subject><subject>Lung Neoplasms - epidemiology</subject><subject>Lung Neoplasms - pathology</subject><subject>Lung-RADS</subject><subject>Male</subject><subject>Mass Screening - methods</subject><subject>Middle Aged</subject><subject>Patient Selection</subject><subject>Pulmonary/Respiratory</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><subject>Screening criteria</subject><subject>Sex Factors</subject><subject>Smoking</subject><subject>Taiwan - epidemiology</subject><subject>Tomography, X-Ray Computed - methods</subject><issn>1525-7304</issn><issn>1938-0690</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9ks-KFDEQxhtR3HX1BTxIjl56zJ_upBtEGIbdVRjwMCN4C-mkWjPTnYypbpd9MN_PNLMu4sFTfYTvqyL1q6J4zeiKUSbfHVZ2GOyKZ72iYkVp9aS4ZK1oSipb-jTrmtelErS6KF4gHijlUjD-vLjgiglRV_Sy-LVGBMQRwkRiT3YwgJ18DGST_ATJG9LHRLbxrnQRgWzn8I3sbAIIPqvNnpgxZrFGbwK5nr4Hb8ltivMJiQ9kb_xdfi_JTYojGQ0iwcfwFAmewPo-R5LHY9kZBPeXYZkcYihxjEdIZFhmWxMspJfFs94MCK8e6lXx5eZ6v_lYbj_fftqst6WtlJrKlnaysXUDsjVdLR1llVBSqYpRU_Oudrxtja2a1knRGNFZ11jTdMaJXFrei6vi7bnvKcUfM-CkR48WhsEEiDNq1nApleBKZSs_W22KiAl6fUp-NOleM6oXXPqgF1x6waWp0BlXDr156D93I7jHyB8-2fD-bID8y58ekkbrIa_A-ZRBaRf9__t_-CduB58RmeEI94CHOKeQ96eZRq6p3i0Hs9wLk4JSIb6K30pAvWs</recordid><startdate>20160901</startdate><enddate>20160901</enddate><creator>Wu, Fu-Zong</creator><creator>Huang, Yi-Luan</creator><creator>Wu, Carol C</creator><creator>Tang, En-Kuei</creator><creator>Chen, Chi-Shen</creator><creator>Mar, Guang-Yuan</creator><creator>Yen, Yu</creator><creator>Wu, Ming-Ting</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20160901</creationdate><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</title><author>Wu, Fu-Zong ; Huang, Yi-Luan ; Wu, Carol C ; Tang, En-Kuei ; Chen, Chi-Shen ; Mar, Guang-Yuan ; Yen, Yu ; Wu, Ming-Ting</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c477t-90b68c58e69ab56d01437677410a52b5d299ac489d638a3bcd8ca8bad3ca892f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adenocarcinoma</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Asian Continental Ancestry Group - statistics &amp; numerical data</topic><topic>Early Detection of Cancer - methods</topic><topic>Ethnic Groups - statistics &amp; numerical data</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Hematology, Oncology and Palliative Medicine</topic><topic>Humans</topic><topic>Logistic Models</topic><topic>Lung cancer</topic><topic>Lung Neoplasms - diagnostic imaging</topic><topic>Lung Neoplasms - epidemiology</topic><topic>Lung Neoplasms - pathology</topic><topic>Lung-RADS</topic><topic>Male</topic><topic>Mass Screening - methods</topic><topic>Middle Aged</topic><topic>Patient Selection</topic><topic>Pulmonary/Respiratory</topic><topic>Retrospective Studies</topic><topic>Risk Factors</topic><topic>Screening criteria</topic><topic>Sex Factors</topic><topic>Smoking</topic><topic>Taiwan - epidemiology</topic><topic>Tomography, X-Ray Computed - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Fu-Zong</creatorcontrib><creatorcontrib>Huang, Yi-Luan</creatorcontrib><creatorcontrib>Wu, Carol C</creatorcontrib><creatorcontrib>Tang, En-Kuei</creatorcontrib><creatorcontrib>Chen, Chi-Shen</creatorcontrib><creatorcontrib>Mar, Guang-Yuan</creatorcontrib><creatorcontrib>Yen, Yu</creatorcontrib><creatorcontrib>Wu, Ming-Ting</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical lung cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Fu-Zong</au><au>Huang, Yi-Luan</au><au>Wu, Carol C</au><au>Tang, En-Kuei</au><au>Chen, Chi-Shen</au><au>Mar, Guang-Yuan</au><au>Yen, Yu</au><au>Wu, Ming-Ting</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>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</atitle><jtitle>Clinical lung cancer</jtitle><addtitle>Clin Lung Cancer</addtitle><date>2016-09-01</date><risdate>2016</risdate><volume>17</volume><issue>5</issue><spage>e45</spage><epage>e56</epage><pages>e45-e56</pages><issn>1525-7304</issn><eissn>1938-0690</eissn><abstract>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.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>27133540</pmid><doi>10.1016/j.cllc.2016.03.004</doi></addata></record>
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subjects 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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