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Lung cancer screening using low-dose computed tomography in at-risk individuals: The Toronto experience
Abstract Objective The Department of Medical Imaging at the University Health Network in Toronto is performing a lung cancer screening study, utilizing low-dose computed tomography (LDCT) as the modality. Baseline and annual repeat results are reported on the first 3352 participants, enrolled betwee...
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Published in: | Lung cancer (Amsterdam, Netherlands) Netherlands), 2010-02, Vol.67 (2), p.177-183 |
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creator | Menezes, Ravi J Roberts, Heidi C Paul, Narinder S McGregor, Maureen Chung, Tae Bong Patsios, Demetris Weisbrod, Gordon Herman, Stephen Pereira, Andre McGregor, Alexander Dong, Zhi Sitartchouk, Igor Boerner, Scott Tsao, Ming-Sound Keshavjee, Shaf Shepherd, Frances A |
description | Abstract Objective The Department of Medical Imaging at the University Health Network in Toronto is performing a lung cancer screening study, utilizing low-dose computed tomography (LDCT) as the modality. Baseline and annual repeat results are reported on the first 3352 participants, enrolled between June 2003 and May 2007. Methods Enrollment was limited to those aged 50 years or older, with a smoking history of at least 10 pack-years, no previous cancer and general good health. A helical low-dose CT (LDCT) of the chest was performed using 120 kVp, 40–60 mA, images were reconstructed with 1–1.25 mm overlapping slices. The primary objectives were the detection of parenchymal nodules and diagnosis of early stage lung cancer. Baseline LDCTs were termed positive if at least one indeterminate non-calcified nodule 5 mm or larger in size, or non-solid nodule 8 mm or larger in size was identified. Follow up periods for individuals with a positive baseline LDCT were determined by nodule characteristics. Results The median age at baseline was 60 years (range 50–83), with a median of 30 pack-years of cigarette smoking (range 10–189). Baseline CT evaluations were positive in 600 (18%) participants. To date, 2686 (80%) of the participants have returned for at least one annual repeat screening LDCT. Biopsies have been recommended for 82 participants since the study began, and 64 have been diagnosed with screen-detected cancer (62 lung, two plasmacytoma of the rib). A total of 65 lung cancers have been diagnosed (62 screen-detected, 3 interim), 57 are NSCLC (82% with known stage are stage I or II) and the rate of surgical resection was 80%. Sensitivity and specificity of the protocol in successfully diagnosing early stage lung cancers were 87.7% and 99.3%, respectively. Conclusions Data indicate that LDCT can identify small lung cancers in an at-risk population. The diagnostic algorithm results in few false-positive invasive procedures. Most cancers are detected at an early stage, where the cancer is resectable with a greater potential for cure. Long-term follow up of lung cancer cases will be carried out to determine survival. |
doi_str_mv | 10.1016/j.lungcan.2009.03.030 |
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Baseline and annual repeat results are reported on the first 3352 participants, enrolled between June 2003 and May 2007. Methods Enrollment was limited to those aged 50 years or older, with a smoking history of at least 10 pack-years, no previous cancer and general good health. A helical low-dose CT (LDCT) of the chest was performed using 120 kVp, 40–60 mA, images were reconstructed with 1–1.25 mm overlapping slices. The primary objectives were the detection of parenchymal nodules and diagnosis of early stage lung cancer. Baseline LDCTs were termed positive if at least one indeterminate non-calcified nodule 5 mm or larger in size, or non-solid nodule 8 mm or larger in size was identified. Follow up periods for individuals with a positive baseline LDCT were determined by nodule characteristics. Results The median age at baseline was 60 years (range 50–83), with a median of 30 pack-years of cigarette smoking (range 10–189). Baseline CT evaluations were positive in 600 (18%) participants. To date, 2686 (80%) of the participants have returned for at least one annual repeat screening LDCT. Biopsies have been recommended for 82 participants since the study began, and 64 have been diagnosed with screen-detected cancer (62 lung, two plasmacytoma of the rib). A total of 65 lung cancers have been diagnosed (62 screen-detected, 3 interim), 57 are NSCLC (82% with known stage are stage I or II) and the rate of surgical resection was 80%. Sensitivity and specificity of the protocol in successfully diagnosing early stage lung cancers were 87.7% and 99.3%, respectively. Conclusions Data indicate that LDCT can identify small lung cancers in an at-risk population. The diagnostic algorithm results in few false-positive invasive procedures. Most cancers are detected at an early stage, where the cancer is resectable with a greater potential for cure. Long-term follow up of lung cancer cases will be carried out to determine survival.</description><identifier>ISSN: 0169-5002</identifier><identifier>EISSN: 1872-8332</identifier><identifier>DOI: 10.1016/j.lungcan.2009.03.030</identifier><identifier>PMID: 19427055</identifier><identifier>CODEN: LUCAE5</identifier><language>eng</language><publisher>Oxford: Elsevier Ireland Ltd</publisher><subject>Aged ; Aged, 80 and over ; Algorithms ; Biological and medical sciences ; Biopsy ; Canada - epidemiology ; Early Detection of Cancer - methods ; Hematology, Oncology and Palliative Medicine ; Humans ; Incidence ; Low-dose computed tomography ; Lung cancer screening ; Lung Neoplasms - diagnostic imaging ; Lung Neoplasms - epidemiology ; Lung Neoplasms - pathology ; Medical sciences ; Middle Aged ; Neoplasm Staging ; Pneumology ; Prevalence ; Pulmonary/Respiratory ; Risk Factors ; Sensitivity and Specificity ; Smoking - adverse effects ; Surgery, Computer-Assisted ; Tomography, X-Ray Computed - methods ; Tumors ; Tumors of the respiratory system and mediastinum</subject><ispartof>Lung cancer (Amsterdam, Netherlands), 2010-02, Vol.67 (2), p.177-183</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2009 Elsevier Ireland Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright 2009 Elsevier Ireland Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c449t-438f92e8ff27b2ff633d395aa736b486331d009a1535f0b6e511e19cc43173a13</citedby><cites>FETCH-LOGICAL-c449t-438f92e8ff27b2ff633d395aa736b486331d009a1535f0b6e511e19cc43173a13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22350991$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19427055$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Menezes, Ravi J</creatorcontrib><creatorcontrib>Roberts, Heidi C</creatorcontrib><creatorcontrib>Paul, Narinder S</creatorcontrib><creatorcontrib>McGregor, Maureen</creatorcontrib><creatorcontrib>Chung, Tae Bong</creatorcontrib><creatorcontrib>Patsios, Demetris</creatorcontrib><creatorcontrib>Weisbrod, Gordon</creatorcontrib><creatorcontrib>Herman, Stephen</creatorcontrib><creatorcontrib>Pereira, Andre</creatorcontrib><creatorcontrib>McGregor, Alexander</creatorcontrib><creatorcontrib>Dong, Zhi</creatorcontrib><creatorcontrib>Sitartchouk, Igor</creatorcontrib><creatorcontrib>Boerner, Scott</creatorcontrib><creatorcontrib>Tsao, Ming-Sound</creatorcontrib><creatorcontrib>Keshavjee, Shaf</creatorcontrib><creatorcontrib>Shepherd, Frances A</creatorcontrib><title>Lung cancer screening using low-dose computed tomography in at-risk individuals: The Toronto experience</title><title>Lung cancer (Amsterdam, Netherlands)</title><addtitle>Lung Cancer</addtitle><description>Abstract Objective The Department of Medical Imaging at the University Health Network in Toronto is performing a lung cancer screening study, utilizing low-dose computed tomography (LDCT) as the modality. Baseline and annual repeat results are reported on the first 3352 participants, enrolled between June 2003 and May 2007. Methods Enrollment was limited to those aged 50 years or older, with a smoking history of at least 10 pack-years, no previous cancer and general good health. A helical low-dose CT (LDCT) of the chest was performed using 120 kVp, 40–60 mA, images were reconstructed with 1–1.25 mm overlapping slices. The primary objectives were the detection of parenchymal nodules and diagnosis of early stage lung cancer. Baseline LDCTs were termed positive if at least one indeterminate non-calcified nodule 5 mm or larger in size, or non-solid nodule 8 mm or larger in size was identified. Follow up periods for individuals with a positive baseline LDCT were determined by nodule characteristics. Results The median age at baseline was 60 years (range 50–83), with a median of 30 pack-years of cigarette smoking (range 10–189). Baseline CT evaluations were positive in 600 (18%) participants. To date, 2686 (80%) of the participants have returned for at least one annual repeat screening LDCT. Biopsies have been recommended for 82 participants since the study began, and 64 have been diagnosed with screen-detected cancer (62 lung, two plasmacytoma of the rib). A total of 65 lung cancers have been diagnosed (62 screen-detected, 3 interim), 57 are NSCLC (82% with known stage are stage I or II) and the rate of surgical resection was 80%. Sensitivity and specificity of the protocol in successfully diagnosing early stage lung cancers were 87.7% and 99.3%, respectively. Conclusions Data indicate that LDCT can identify small lung cancers in an at-risk population. The diagnostic algorithm results in few false-positive invasive procedures. Most cancers are detected at an early stage, where the cancer is resectable with a greater potential for cure. Long-term follow up of lung cancer cases will be carried out to determine survival.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Algorithms</subject><subject>Biological and medical sciences</subject><subject>Biopsy</subject><subject>Canada - epidemiology</subject><subject>Early Detection of Cancer - methods</subject><subject>Hematology, Oncology and Palliative Medicine</subject><subject>Humans</subject><subject>Incidence</subject><subject>Low-dose computed tomography</subject><subject>Lung cancer screening</subject><subject>Lung Neoplasms - diagnostic imaging</subject><subject>Lung Neoplasms - epidemiology</subject><subject>Lung Neoplasms - pathology</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Neoplasm Staging</subject><subject>Pneumology</subject><subject>Prevalence</subject><subject>Pulmonary/Respiratory</subject><subject>Risk Factors</subject><subject>Sensitivity and Specificity</subject><subject>Smoking - adverse effects</subject><subject>Surgery, Computer-Assisted</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Tumors</subject><subject>Tumors of the respiratory system and mediastinum</subject><issn>0169-5002</issn><issn>1872-8332</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqFkk1v1DAQhi1ERbeFnwDyBXHKMrbjJOYAQlX5kFbqocvZ8jqTrbdJHOyksP8epxuBxKXSaPz1-vX40RDymsGaASveH9bt1O-t6dccQK1BpIBnZMWqkmeVEPw5WSWdyiQAPycXMR4AWMlAvSDnTOW8BClXZL9JLjTZWAw02oDYu7QxxTm3_ldW-4jU-m6YRqzp6Du_D2a4O1LXUzNmwcX7NK3dg6sn08YPdHuHdOuD70dP8feAwWEyf0nOmnSMr5bxkvz4cr29-pZtbr5-v_q8yWyeqzHLRdUojlXT8HLHm6YQohZKGlOKYpdXacnq9F3DpJAN7AqUjCFT1uaClcIwcUnenXyH4H9OGEfduWixbU2Pfoq6FKKSFS9kUsqT0gYfY8BGD8F1Jhw1Az0j1ge9INYzYg0iBaR7b5YXpl2H9b9bC9MkeLsITLSmbUKC6-JfHedCglJzqZ9OOkw8HhwGHe0jq9oFtKOuvXuylI__OdjW9S49eo9HjAc_hT7B1kxHrkHfzv0wtwOox1SJP1Ousc0</recordid><startdate>20100201</startdate><enddate>20100201</enddate><creator>Menezes, Ravi J</creator><creator>Roberts, Heidi C</creator><creator>Paul, Narinder S</creator><creator>McGregor, Maureen</creator><creator>Chung, Tae Bong</creator><creator>Patsios, Demetris</creator><creator>Weisbrod, Gordon</creator><creator>Herman, Stephen</creator><creator>Pereira, Andre</creator><creator>McGregor, Alexander</creator><creator>Dong, Zhi</creator><creator>Sitartchouk, Igor</creator><creator>Boerner, Scott</creator><creator>Tsao, Ming-Sound</creator><creator>Keshavjee, Shaf</creator><creator>Shepherd, Frances A</creator><general>Elsevier Ireland Ltd</general><general>Elsevier</general><scope>IQODW</scope><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>20100201</creationdate><title>Lung cancer screening using low-dose computed tomography in at-risk individuals: The Toronto experience</title><author>Menezes, Ravi J ; Roberts, Heidi C ; Paul, Narinder S ; McGregor, Maureen ; Chung, Tae Bong ; Patsios, Demetris ; Weisbrod, Gordon ; Herman, Stephen ; Pereira, Andre ; McGregor, Alexander ; Dong, Zhi ; Sitartchouk, Igor ; Boerner, Scott ; Tsao, Ming-Sound ; Keshavjee, Shaf ; Shepherd, Frances A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c449t-438f92e8ff27b2ff633d395aa736b486331d009a1535f0b6e511e19cc43173a13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Algorithms</topic><topic>Biological and medical sciences</topic><topic>Biopsy</topic><topic>Canada - epidemiology</topic><topic>Early Detection of Cancer - methods</topic><topic>Hematology, Oncology and Palliative Medicine</topic><topic>Humans</topic><topic>Incidence</topic><topic>Low-dose computed tomography</topic><topic>Lung cancer screening</topic><topic>Lung Neoplasms - diagnostic imaging</topic><topic>Lung Neoplasms - epidemiology</topic><topic>Lung Neoplasms - pathology</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Neoplasm Staging</topic><topic>Pneumology</topic><topic>Prevalence</topic><topic>Pulmonary/Respiratory</topic><topic>Risk Factors</topic><topic>Sensitivity and Specificity</topic><topic>Smoking - adverse effects</topic><topic>Surgery, Computer-Assisted</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Tumors</topic><topic>Tumors of the respiratory system and mediastinum</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Menezes, Ravi J</creatorcontrib><creatorcontrib>Roberts, Heidi C</creatorcontrib><creatorcontrib>Paul, Narinder S</creatorcontrib><creatorcontrib>McGregor, Maureen</creatorcontrib><creatorcontrib>Chung, Tae Bong</creatorcontrib><creatorcontrib>Patsios, Demetris</creatorcontrib><creatorcontrib>Weisbrod, Gordon</creatorcontrib><creatorcontrib>Herman, Stephen</creatorcontrib><creatorcontrib>Pereira, Andre</creatorcontrib><creatorcontrib>McGregor, Alexander</creatorcontrib><creatorcontrib>Dong, Zhi</creatorcontrib><creatorcontrib>Sitartchouk, Igor</creatorcontrib><creatorcontrib>Boerner, Scott</creatorcontrib><creatorcontrib>Tsao, Ming-Sound</creatorcontrib><creatorcontrib>Keshavjee, Shaf</creatorcontrib><creatorcontrib>Shepherd, Frances A</creatorcontrib><collection>Pascal-Francis</collection><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>Lung cancer (Amsterdam, Netherlands)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Menezes, Ravi J</au><au>Roberts, Heidi C</au><au>Paul, Narinder S</au><au>McGregor, Maureen</au><au>Chung, Tae Bong</au><au>Patsios, Demetris</au><au>Weisbrod, Gordon</au><au>Herman, Stephen</au><au>Pereira, Andre</au><au>McGregor, Alexander</au><au>Dong, Zhi</au><au>Sitartchouk, Igor</au><au>Boerner, Scott</au><au>Tsao, Ming-Sound</au><au>Keshavjee, Shaf</au><au>Shepherd, Frances A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Lung cancer screening using low-dose computed tomography in at-risk individuals: The Toronto experience</atitle><jtitle>Lung cancer (Amsterdam, Netherlands)</jtitle><addtitle>Lung Cancer</addtitle><date>2010-02-01</date><risdate>2010</risdate><volume>67</volume><issue>2</issue><spage>177</spage><epage>183</epage><pages>177-183</pages><issn>0169-5002</issn><eissn>1872-8332</eissn><coden>LUCAE5</coden><abstract>Abstract Objective The Department of Medical Imaging at the University Health Network in Toronto is performing a lung cancer screening study, utilizing low-dose computed tomography (LDCT) as the modality. Baseline and annual repeat results are reported on the first 3352 participants, enrolled between June 2003 and May 2007. Methods Enrollment was limited to those aged 50 years or older, with a smoking history of at least 10 pack-years, no previous cancer and general good health. A helical low-dose CT (LDCT) of the chest was performed using 120 kVp, 40–60 mA, images were reconstructed with 1–1.25 mm overlapping slices. The primary objectives were the detection of parenchymal nodules and diagnosis of early stage lung cancer. Baseline LDCTs were termed positive if at least one indeterminate non-calcified nodule 5 mm or larger in size, or non-solid nodule 8 mm or larger in size was identified. Follow up periods for individuals with a positive baseline LDCT were determined by nodule characteristics. Results The median age at baseline was 60 years (range 50–83), with a median of 30 pack-years of cigarette smoking (range 10–189). Baseline CT evaluations were positive in 600 (18%) participants. To date, 2686 (80%) of the participants have returned for at least one annual repeat screening LDCT. Biopsies have been recommended for 82 participants since the study began, and 64 have been diagnosed with screen-detected cancer (62 lung, two plasmacytoma of the rib). A total of 65 lung cancers have been diagnosed (62 screen-detected, 3 interim), 57 are NSCLC (82% with known stage are stage I or II) and the rate of surgical resection was 80%. Sensitivity and specificity of the protocol in successfully diagnosing early stage lung cancers were 87.7% and 99.3%, respectively. Conclusions Data indicate that LDCT can identify small lung cancers in an at-risk population. The diagnostic algorithm results in few false-positive invasive procedures. Most cancers are detected at an early stage, where the cancer is resectable with a greater potential for cure. Long-term follow up of lung cancer cases will be carried out to determine survival.</abstract><cop>Oxford</cop><pub>Elsevier Ireland Ltd</pub><pmid>19427055</pmid><doi>10.1016/j.lungcan.2009.03.030</doi><tpages>7</tpages></addata></record> |
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subjects | Aged Aged, 80 and over Algorithms Biological and medical sciences Biopsy Canada - epidemiology Early Detection of Cancer - methods Hematology, Oncology and Palliative Medicine Humans Incidence Low-dose computed tomography Lung cancer screening Lung Neoplasms - diagnostic imaging Lung Neoplasms - epidemiology Lung Neoplasms - pathology Medical sciences Middle Aged Neoplasm Staging Pneumology Prevalence Pulmonary/Respiratory Risk Factors Sensitivity and Specificity Smoking - adverse effects Surgery, Computer-Assisted Tomography, X-Ray Computed - methods Tumors Tumors of the respiratory system and mediastinum |
title | Lung cancer screening using low-dose computed tomography in at-risk individuals: The Toronto experience |
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