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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
Main Authors: 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
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container_title Lung cancer (Amsterdam, Netherlands)
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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&amp;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. 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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.</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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ispartof Lung cancer (Amsterdam, Netherlands), 2010-02, Vol.67 (2), p.177-183
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1872-8332
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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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