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Cellina M, Cacioppa LM, Cè M, Chiarpenello V, Costa M, Vincenzo Z, Pais D, Bausano MV, Rossini N, Bruno A, Floridi C. Artificial Intelligence in Lung Cancer Screening: The Future Is Now. Cancers (Basel) 2023; 15:4344. [PMID: 37686619 PMCID: PMC10486721 DOI: 10.3390/cancers15174344] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 08/27/2023] [Accepted: 08/28/2023] [Indexed: 09/10/2023] Open
Abstract
Lung cancer has one of the worst morbidity and fatality rates of any malignant tumour. Most lung cancers are discovered in the middle and late stages of the disease, when treatment choices are limited, and patients' survival rate is low. The aim of lung cancer screening is the identification of lung malignancies in the early stage of the disease, when more options for effective treatments are available, to improve the patients' outcomes. The desire to improve the efficacy and efficiency of clinical care continues to drive multiple innovations into practice for better patient management, and in this context, artificial intelligence (AI) plays a key role. AI may have a role in each process of the lung cancer screening workflow. First, in the acquisition of low-dose computed tomography for screening programs, AI-based reconstruction allows a further dose reduction, while still maintaining an optimal image quality. AI can help the personalization of screening programs through risk stratification based on the collection and analysis of a huge amount of imaging and clinical data. A computer-aided detection (CAD) system provides automatic detection of potential lung nodules with high sensitivity, working as a concurrent or second reader and reducing the time needed for image interpretation. Once a nodule has been detected, it should be characterized as benign or malignant. Two AI-based approaches are available to perform this task: the first one is represented by automatic segmentation with a consequent assessment of the lesion size, volume, and densitometric features; the second consists of segmentation first, followed by radiomic features extraction to characterize the whole abnormalities providing the so-called "virtual biopsy". This narrative review aims to provide an overview of all possible AI applications in lung cancer screening.
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Affiliation(s)
- Michaela Cellina
- Radiology Department, Fatebenefratelli Hospital, ASST Fatebenefratelli Sacco, 20121 Milano, Italy;
| | - Laura Maria Cacioppa
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (L.M.C.); (N.R.); (A.B.)
- Division of Interventional Radiology, Department of Radiological Sciences, University Hospital “Azienda Ospedaliera Universitaria delle Marche”, 60126 Ancona, Italy
| | - Maurizio Cè
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, 20122 Milan, Italy; (M.C.); (V.C.); (M.C.); (Z.V.); (D.P.); (M.V.B.)
| | - Vittoria Chiarpenello
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, 20122 Milan, Italy; (M.C.); (V.C.); (M.C.); (Z.V.); (D.P.); (M.V.B.)
| | - Marco Costa
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, 20122 Milan, Italy; (M.C.); (V.C.); (M.C.); (Z.V.); (D.P.); (M.V.B.)
| | - Zakaria Vincenzo
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, 20122 Milan, Italy; (M.C.); (V.C.); (M.C.); (Z.V.); (D.P.); (M.V.B.)
| | - Daniele Pais
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, 20122 Milan, Italy; (M.C.); (V.C.); (M.C.); (Z.V.); (D.P.); (M.V.B.)
| | - Maria Vittoria Bausano
- Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, 20122 Milan, Italy; (M.C.); (V.C.); (M.C.); (Z.V.); (D.P.); (M.V.B.)
| | - Nicolò Rossini
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (L.M.C.); (N.R.); (A.B.)
| | - Alessandra Bruno
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (L.M.C.); (N.R.); (A.B.)
| | - Chiara Floridi
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60126 Ancona, Italy; (L.M.C.); (N.R.); (A.B.)
- Division of Interventional Radiology, Department of Radiological Sciences, University Hospital “Azienda Ospedaliera Universitaria delle Marche”, 60126 Ancona, Italy
- Division of Radiology, Department of Radiological Sciences, University Hospital “Azienda Ospedaliera Universitaria delle Marche”, 60126 Ancona, Italy
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Chen M, Copley SJ, Viola P, Lu H, Aboagye EO. Radiomics and artificial intelligence for precision medicine in lung cancer treatment. Semin Cancer Biol 2023; 93:97-113. [PMID: 37211292 DOI: 10.1016/j.semcancer.2023.05.004] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 04/14/2023] [Accepted: 05/17/2023] [Indexed: 05/23/2023]
Abstract
Lung cancer is the leading cause of cancer-related deaths worldwide. It exhibits, at the mesoscopic scale, phenotypic characteristics that are generally indiscernible to the human eye but can be captured non-invasively on medical imaging as radiomic features, which can form a high dimensional data space amenable to machine learning. Radiomic features can be harnessed and used in an artificial intelligence paradigm to risk stratify patients, and predict for histological and molecular findings, and clinical outcome measures, thereby facilitating precision medicine for improving patient care. Compared to tissue sampling-driven approaches, radiomics-based methods are superior for being non-invasive, reproducible, cheaper, and less susceptible to intra-tumoral heterogeneity. This review focuses on the application of radiomics, combined with artificial intelligence, for delivering precision medicine in lung cancer treatment, with discussion centered on pioneering and groundbreaking works, and future research directions in the area.
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Affiliation(s)
- Mitchell Chen
- Department of Surgery and Cancer, The Commonwealth Building, Du Cane Road, Hammersmith Campus, Imperial College, London W12 0NN, UK; Imperial College Healthcare NHS Trust, Hammersmith Hospital, Du Cane Road, London W12 0HS, UK
| | - Susan J Copley
- Department of Surgery and Cancer, The Commonwealth Building, Du Cane Road, Hammersmith Campus, Imperial College, London W12 0NN, UK; Imperial College Healthcare NHS Trust, Hammersmith Hospital, Du Cane Road, London W12 0HS, UK
| | - Patrizia Viola
- North West London Pathology, Charing Cross Hospital, Fulham Palace Rd, London W6 8RF, UK
| | - Haonan Lu
- Department of Surgery and Cancer, The Commonwealth Building, Du Cane Road, Hammersmith Campus, Imperial College, London W12 0NN, UK
| | - Eric O Aboagye
- Department of Surgery and Cancer, The Commonwealth Building, Du Cane Road, Hammersmith Campus, Imperial College, London W12 0NN, UK.
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Brentnall AR, Mathews C, Beare S, Ching J, Sleeth M, Sasieni P. Dynamic data-enabled stratified sampling for trial invitations with application in NHS-Galleri. Clin Trials 2023; 20:425-433. [PMID: 37095697 PMCID: PMC10338700 DOI: 10.1177/17407745231167369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023]
Abstract
BACKGROUND Participants of health research studies such as cancer screening trials usually have better health than the target population. Data-enabled recruitment strategies might be used to help minimise healthy volunteer effects on study power and improve equity. METHODS A computer algorithm was developed to help target trial invitations. It assumes participants are recruited from distinct sites (such as different physical locations or periods in time) that are served by clusters (such as general practitioners in England, or geographical areas), and the population may be split into defined groups (such as age and sex bands). The problem is to decide the number of people to invite from each group, such that all recruitment slots are filled, healthy volunteer effects are accounted for, and equity is achieved through representation in sufficient numbers of all major societal and ethnic groups. A linear programme was formulated for this problem. RESULTS The optimisation problem was solved dynamically for invitations to the NHS-Galleri trial (ISRCTN91431511). This multi-cancer screening trial aimed to recruit 140,000 participants from areas in England over 10 months. Public data sources were used for objective function weights, and constraints. Invitations were sent by sampling according to lists generated by the algorithm. To help achieve equity the algorithm tilts the invitation sampling distribution towards groups that are less likely to join. To mitigate healthy volunteer effects, it requires a minimum expected event rate of the primary outcome in the trial. CONCLUSION Our invitation algorithm is a novel data-enabled approach to recruitment that is designed to address healthy volunteer effects and inequity in health research studies. It could be adapted for use in other trials or research studies.
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Affiliation(s)
- Adam R Brentnall
- Wolfson Institute of Population Health, Centre for Evaluation and Methods, Queen Mary University of London, London, UK
| | - Chris Mathews
- The Cancer Research UK and King’s College London Cancer Prevention Trials Unit, Kings College London, London, UK
| | - Sandy Beare
- The Cancer Research UK and King’s College London Cancer Prevention Trials Unit, Kings College London, London, UK
| | - Jennifer Ching
- The Cancer Research UK and King’s College London Cancer Prevention Trials Unit, Kings College London, London, UK
| | - Michelle Sleeth
- The Cancer Research UK and King’s College London Cancer Prevention Trials Unit, Kings College London, London, UK
| | - Peter Sasieni
- The Cancer Research UK and King’s College London Cancer Prevention Trials Unit, Kings College London, London, UK
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4
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Cavers D, Nelson M, Rostron J, Robb KA, Brown LR, Campbell C, Akram AR, Dickie G, Mackean M, van Beek EJR, Sullivan F, Steele RJ, Neilson AR, Weller D. Understanding patient barriers and facilitators to uptake of lung screening using low dose computed tomography: a mixed methods scoping review of the current literature. Respir Res 2022; 23:374. [PMID: 36564817 PMCID: PMC9789658 DOI: 10.1186/s12931-022-02255-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 11/17/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Targeted lung cancer screening is effective in reducing mortality by upwards of twenty percent. However, screening is not universally available and uptake is variable and socially patterned. Understanding screening behaviour is integral to designing a service that serves its population and promotes equitable uptake. We sought to review the literature to identify barriers and facilitators to screening to inform the development of a pilot lung screening study in Scotland. METHODS We used Arksey and O'Malley's scoping review methodology and PRISMA-ScR framework to identify relevant literature to meet the study aims. Qualitative, quantitative and mixed methods primary studies published between January 2000 and May 2021 were identified and reviewed by two reviewers for inclusion, using a list of search terms developed by the study team and adapted for chosen databases. RESULTS Twenty-one articles met the final inclusion criteria. Articles were published between 2003 and 2021 and came from high income countries. Following data extraction and synthesis, findings were organised into four categories: Awareness of lung screening, Enthusiasm for lung screening, Barriers to lung screening, and Facilitators or ways of promoting uptake of lung screening. Awareness of lung screening was low while enthusiasm was high. Barriers to screening included fear of a cancer diagnosis, low perceived risk of lung cancer as well as practical barriers of cost, travel and time off work. Being health conscious, provider endorsement and seeking reassurance were all identified as facilitators of screening participation. CONCLUSIONS Understanding patient reported barriers and facilitators to lung screening can help inform the implementation of future lung screening pilots and national lung screening programmes.
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Affiliation(s)
- Debbie Cavers
- Usher Institute, University of Edinburgh, Doorway 1, Medical School, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG UK
| | - Mia Nelson
- Usher Institute, University of Edinburgh, Doorway 1, Medical School, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG UK
| | - Jasmin Rostron
- The National Institute of Economic and Social Research, 2 Dean Trench Street, London, NW1P 3HE UK
| | - Kathryn A. Robb
- Institute of Health and Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow, G12 8RZ UK
| | - Lynsey R. Brown
- School of Medicine, University of St. Andrews, North Haugh, St. Andrews, KY16 9TF UK
| | - Christine Campbell
- Usher Institute, University of Edinburgh, Doorway 1, Medical School, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG UK
| | - Ahsan R. Akram
- MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Graeme Dickie
- Usher Institute, University of Edinburgh, Doorway 1, Medical School, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG UK
| | - Melanie Mackean
- Edinburgh Cancer Centre, Western General Hospital, Crewe Road South, Edinburgh, EH4 2XU UK
| | - Edwin J. R. van Beek
- Edinburgh Imaging, Queen’s Medical Research Institute, University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4TJ UK
| | - Frank Sullivan
- School of Medicine, University of St. Andrews, North Haugh, St. Andrews, KY16 9TF UK
| | - Robert J. Steele
- School of Medicine, University of Dundee, Ninewells Hospital, Dundee, DD1 9SY UK
| | - Aileen R. Neilson
- Usher Institute, University of Edinburgh, Doorway 1, Medical School, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG UK
| | - David Weller
- Usher Institute, University of Edinburgh, Doorway 1, Medical School, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG UK
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5
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Marshall HM, Vemula M, Hay K, McCaul E, Passmore L, Yang IA, Bowman RV, Fong KM. Active screening for lung cancer increases smoking abstinence in Australia. Asia Pac J Clin Oncol 2022; 19:374-384. [DOI: 10.1111/ajco.13879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 09/16/2022] [Accepted: 09/24/2022] [Indexed: 11/29/2022]
Affiliation(s)
- Henry M. Marshall
- University of Queensland Thoracic Research Centre, Faculty of Medicine, University of Queensland Brisbane Queensland Australia
- Department of Thoracic MedicineThe Prince Charles Hospital ChermsideQueenslandAustralia
| | - Mounavi Vemula
- University of Queensland Thoracic Research Centre, Faculty of Medicine, University of Queensland Brisbane Queensland Australia
| | - Karen Hay
- QIMR Berghofer Medical Research Institute HerstonQueenslandAustralia
| | - Elizabeth McCaul
- University of Queensland Thoracic Research Centre, Faculty of Medicine, University of Queensland Brisbane Queensland Australia
- Department of Thoracic MedicineThe Prince Charles Hospital ChermsideQueenslandAustralia
| | - Linda Passmore
- University of Queensland Thoracic Research Centre, Faculty of Medicine, University of Queensland Brisbane Queensland Australia
- Department of Thoracic MedicineThe Prince Charles Hospital ChermsideQueenslandAustralia
| | - Ian A. Yang
- University of Queensland Thoracic Research Centre, Faculty of Medicine, University of Queensland Brisbane Queensland Australia
- Department of Thoracic MedicineThe Prince Charles Hospital ChermsideQueenslandAustralia
| | - Rayleen V. Bowman
- University of Queensland Thoracic Research Centre, Faculty of Medicine, University of Queensland Brisbane Queensland Australia
- Department of Thoracic MedicineThe Prince Charles Hospital ChermsideQueenslandAustralia
| | - Kwun M. Fong
- University of Queensland Thoracic Research Centre, Faculty of Medicine, University of Queensland Brisbane Queensland Australia
- Department of Thoracic MedicineThe Prince Charles Hospital ChermsideQueenslandAustralia
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Crosbie PAJ, Gabe R, Simmonds I, Hancock N, Alexandris P, Kennedy M, Rogerson S, Baldwin D, Booton R, Bradley C, Darby M, Eckert C, Franks KN, Lindop J, Janes SM, Møller H, Murray RL, Neal RD, Quaife SL, Upperton S, Shinkins B, Tharmanathan P, Callister MEJ. Participation in community-based lung cancer screening: the Yorkshire Lung Screening Trial. Eur Respir J 2022; 60:2200483. [PMID: 35777775 PMCID: PMC9684623 DOI: 10.1183/13993003.00483-2022] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Accepted: 05/17/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND Screening with low-dose computed tomography (LDCT) reduces lung cancer mortality; however, the most effective strategy for optimising participation is unknown. Here we present data from the Yorkshire Lung Screening Trial, including response to invitation, screening eligibility and uptake of community-based LDCT screening. METHODS Individuals aged 55-80 years, identified from primary care records as having ever smoked, were randomised prior to consent to invitation to telephone lung cancer risk assessment or usual care. The invitation strategy included general practitioner endorsement, pre-invitation and two reminder invitations. After telephone triage, those at higher risk were invited to a Lung Health Check (LHC) with immediate access to a mobile CT scanner. RESULTS Of 44 943 individuals invited, 50.8% (n=22 815) responded and underwent telephone-based risk assessment (16.7% and 7.3% following first and second reminders, respectively). A lower response rate was associated with current smoking status (adjusted OR 0.44, 95% CI 0.42-0.46) and socioeconomic deprivation (adjusted OR 0.58, 95% CI 0.54-0.62 for the most versus the least deprived quintile). Of those responding, 34.4% (n=7853) were potentially eligible for screening and offered a LHC, of whom 86.8% (n=6819) attended. Lower uptake was associated with current smoking status (adjusted OR 0.73, 95% CI 0.62-0.87) and socioeconomic deprivation (adjusted OR 0.78, 95% CI 0.62-0.98). In total, 6650 individuals had a baseline LDCT scan, representing 99.7% of eligible LHC attendees. CONCLUSIONS Telephone risk assessment followed by a community-based LHC is an effective strategy for lung cancer screening implementation. However, lower participation associated with current smoking status and socioeconomic deprivation underlines the importance of research to ensure equitable access to screening.
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Affiliation(s)
- Philip A J Crosbie
- Division of Infection, Immunity and Respiratory Medicine, University of Manchester, Manchester, UK
- Manchester Thoracic Oncology Centre, Manchester University NHS Foundation Trust, Manchester, UK
- These two authors contributed equally
| | - Rhian Gabe
- Centre for Cancer Prevention, Queen Mary University of London, London, UK
- These two authors contributed equally
| | - Irene Simmonds
- Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Neil Hancock
- Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Panos Alexandris
- Centre for Cancer Prevention, Queen Mary University of London, London, UK
| | | | | | - David Baldwin
- Dept of Respiratory Medicine, Nottingham University Hospitals, Nottingham, UK
| | - Richard Booton
- Division of Infection, Immunity and Respiratory Medicine, University of Manchester, Manchester, UK
- Manchester Thoracic Oncology Centre, Manchester University NHS Foundation Trust, Manchester, UK
- Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Claire Bradley
- Craigavon Area Hospital, Southern Health and Social Care Trust, Portadown, UK
| | - Mike Darby
- Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Claire Eckert
- Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Kevin N Franks
- Institute of Health Sciences, University of Leeds, Leeds, UK
- Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | | | - Sam M Janes
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - Henrik Møller
- The Danish Clinical Quality Program and Clinical Registries (RKKP), Aarhus, Denmark
| | - Rachael L Murray
- Lifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, UK
| | - Richard D Neal
- College of Medicine and Health, University of Exeter, Exeter, UK
| | - Samantha L Quaife
- Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | | | | | | | - Matthew E J Callister
- Institute of Health Sciences, University of Leeds, Leeds, UK
- Leeds Teaching Hospitals NHS Trust, Leeds, UK
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7
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Bonney A, Malouf R, Marchal C, Manners D, Fong KM, Marshall HM, Irving LB, Manser R. Impact of low-dose computed tomography (LDCT) screening on lung cancer-related mortality. Cochrane Database Syst Rev 2022; 8:CD013829. [PMID: 35921047 PMCID: PMC9347663 DOI: 10.1002/14651858.cd013829.pub2] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Lung cancer is the most common cause of cancer-related death in the world, however lung cancer screening has not been implemented in most countries at a population level. A previous Cochrane Review found limited evidence for the effectiveness of lung cancer screening with chest radiography (CXR) or sputum cytology in reducing lung cancer-related mortality, however there has been increasing evidence supporting screening with low-dose computed tomography (LDCT). OBJECTIVES: To determine whether screening for lung cancer using LDCT of the chest reduces lung cancer-related mortality and to evaluate the possible harms of LDCT screening. SEARCH METHODS We performed the search in collaboration with the Information Specialist of the Cochrane Lung Cancer Group and included the Cochrane Lung Cancer Group Trial Register, Cochrane Central Register of Controlled Trials (CENTRAL, the Cochrane Library, current issue), MEDLINE (accessed via PubMed) and Embase in our search. We also searched the clinical trial registries to identify unpublished and ongoing trials. We did not impose any restriction on language of publication. The search was performed up to 31 July 2021. SELECTION CRITERIA: Randomised controlled trials (RCTs) of lung cancer screening using LDCT and reporting mortality or harm outcomes. DATA COLLECTION AND ANALYSIS: Two review authors were involved in independently assessing trials for eligibility, extraction of trial data and characteristics, and assessing risk of bias of the included trials using the Cochrane RoB 1 tool. We assessed the certainty of evidence using GRADE. Primary outcomes were lung cancer-related mortality and harms of screening. We performed a meta-analysis, where appropriate, for all outcomes using a random-effects model. We only included trials in the analysis of mortality outcomes if they had at least 5 years of follow-up. We reported risk ratios (RRs) and hazard ratios (HRs), with 95% confidence intervals (CIs) and used the I2 statistic to investigate heterogeneity. MAIN RESULTS: We included 11 trials in this review with a total of 94,445 participants. Trials were conducted in Europe and the USA in people aged 40 years or older, with most trials having an entry requirement of ≥ 20 pack-year smoking history (e.g. 1 pack of cigarettes/day for 20 years or 2 packs/day for 10 years etc.). One trial included male participants only. Eight trials were phase three RCTs, with two feasibility RCTs and one pilot RCT. Seven of the included trials had no screening as a comparison, and four trials had CXR screening as a comparator. Screening frequency included annual, biennial and incrementing intervals. The duration of screening ranged from 1 year to 10 years. Mortality follow-up was from 5 years to approximately 12 years. None of the included trials were at low risk of bias across all domains. The certainty of evidence was moderate to low across different outcomes, as assessed by GRADE. In the meta-analysis of trials assessing lung cancer-related mortality, we included eight trials (91,122 participants), and there was a reduction in mortality of 21% with LDCT screening compared to control groups of no screening or CXR screening (RR 0.79, 95% CI 0.72 to 0.87; 8 trials, 91,122 participants; moderate-certainty evidence). There were probably no differences in subgroups for analyses by control type, sex, geographical region, and nodule management algorithm. Females appeared to have a larger lung cancer-related mortality benefit compared to males with LDCT screening. There was also a reduction in all-cause mortality (including lung cancer-related) of 5% (RR 0.95, 95% CI 0.91 to 0.99; 8 trials, 91,107 participants; moderate-certainty evidence). Invasive tests occurred more frequently in the LDCT group (RR 2.60, 95% CI 2.41 to 2.80; 3 trials, 60,003 participants; moderate-certainty evidence). However, analysis of 60-day postoperative mortality was not significant between groups (RR 0.68, 95% CI 0.24 to 1.94; 2 trials, 409 participants; moderate-certainty evidence). False-positive results and recall rates were higher with LDCT screening compared to screening with CXR, however there was low-certainty evidence in the meta-analyses due to heterogeneity and risk of bias concerns. Estimated overdiagnosis with LDCT screening was 18%, however the 95% CI was 0 to 36% (risk difference (RD) 0.18, 95% CI -0.00 to 0.36; 5 trials, 28,656 participants; low-certainty evidence). Four trials compared different aspects of health-related quality of life (HRQoL) using various measures. Anxiety was pooled from three trials, with participants in LDCT screening reporting lower anxiety scores than in the control group (standardised mean difference (SMD) -0.43, 95% CI -0.59 to -0.27; 3 trials, 8153 participants; low-certainty evidence). There were insufficient data to comment on the impact of LDCT screening on smoking behaviour. AUTHORS' CONCLUSIONS: The current evidence supports a reduction in lung cancer-related mortality with the use of LDCT for lung cancer screening in high-risk populations (those over the age of 40 with a significant smoking exposure). However, there are limited data on harms and further trials are required to determine participant selection and optimal frequency and duration of screening, with potential for significant overdiagnosis of lung cancer. Trials are ongoing for lung cancer screening in non-smokers.
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Affiliation(s)
- Asha Bonney
- Department of Respiratory and Sleep Medicine, Royal Melbourne Hospital, Parkville, Australia
- Department of Medicine, University of Melbourne, Melbourne, Australia
| | - Reem Malouf
- National Perinatal Epidemiology Unit (NPEU), University of Oxford, Oxford, UK
| | | | - David Manners
- Respiratory Medicine, Midland St John of God Public and Private Hospital, Midland, Australia
| | - Kwun M Fong
- Thoracic Medicine Program, The Prince Charles Hospital, Brisbane, Australia
- UQ Thoracic Research Centre, School of Medicine, The University of Queensland, Brisbane, Australia
| | - Henry M Marshall
- School of Medicine, The University of Queensland, Brisbane, Australia
| | - Louis B Irving
- Department of Respiratory and Sleep Medicine, Royal Melbourne Hospital, Parkville, Australia
| | - Renée Manser
- Department of Respiratory and Sleep Medicine, Royal Melbourne Hospital, Parkville, Australia
- Department of Haematology and Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia
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8
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Bade B, Gwin M, Triplette M, Wiener RS, Crothers K. Comorbidity and life expectancy in shared decision making for lung cancer screening. Semin Oncol 2022; 49:S0093-7754(22)00057-4. [PMID: 35940959 DOI: 10.1053/j.seminoncol.2022.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 07/02/2022] [Accepted: 07/03/2022] [Indexed: 11/11/2022]
Abstract
Shared decision making (SDM) is an important part of lung cancer screening (LCS) that includes discussing the risks and benefits of screening, potential outcomes, patient eligibility and willingness to participate, tobacco cessation, and tailoring a strategy to an individual patient. More than other cancer screening tests, eligibility for LCS is nuanced, incorporating the patient's age as well as tobacco use history and overall health status. Since comorbidities and multimorbidity (ie, 2 or more comorbidities) impact the risks and benefits of LCS, these topics are a fundamental part of decision-making. However, there is currently little evidence available to guide clinicians in addressing comorbidities and an individual's "appropriateness" for LCS during SDM visits. Therefore, this literature review investigates the impact of comorbidities and multimorbidity among patients undergoing LCS. Based on available evidence and guideline recommendations, we identify comorbidities that should be considered during SDM conversations and review best practices for navigating SDM conversations in the context of LCS. Three conditions are highlighted since they concomitantly portend higher risk of developing lung cancer, potentially increase risk of screening-related evaluation and treatment complications and can be associated with limited life expectancy: chronic obstructive pulmonary disease, idiopathic pulmonary fibrosis, and human immunodeficiency virus infection.
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Affiliation(s)
- Brett Bade
- Veterans Affairs (VA) Connecticut Healthcare System, Section of Pulmonary, Critical Care, and Sleep Medicine, West Haven, CT, United States of America (USA); Yale University School of Medicine, Section of Pulmonary, Critical Care, and Sleep Medicine, New Haven, CT, USA.
| | - Mary Gwin
- University of Washington School of Medicine, Seattle, WA, USA
| | - Matthew Triplette
- University of Washington School of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Seattle, WA, USA; Fred Hutchinson Cancer Center, Clinical Research Division, Seattle, WA, USA
| | - Renda Soylemez Wiener
- Center for Healthcare Organization & Implementation Research and Medical Service, VA Boston Healthcare System, Boston, MA, USA; The Pulmonary Center, Boston University School of Medicine, Boston, MA, USA
| | - Kristina Crothers
- University of Washington School of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, Seattle, WA, USA; VA Puget Sound Health Care System, Section of Pulmonary, Critical Care and Sleep Medicine, Seattle, WA, USA
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9
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Majeed H, Zhu H, Williams SA, Hamann HA, Natchimuthu VS, Lee J, Santini NO, Browning T, Prasad T, Adesina JO, Do M, Balis D, de Willams JG, Kitchell E, Johnson DH, Lee SJC, Gerber DE. Prevalence and impact of medical comorbidities in a real-world lung cancer screening population. Clin Lung Cancer 2022; 23:419-427. [DOI: 10.1016/j.cllc.2022.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 03/30/2022] [Accepted: 03/31/2022] [Indexed: 11/15/2022]
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10
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Lung Cancer Screening in Asbestos-Exposed Populations. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19052688. [PMID: 35270380 PMCID: PMC8910511 DOI: 10.3390/ijerph19052688] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 02/22/2022] [Accepted: 02/23/2022] [Indexed: 12/19/2022]
Abstract
Asbestos exposure is the most important cause of occupational lung cancer mortality. Two large randomized clinical trials in the U.S. and Europe conclusively demonstrate that annual low-dose chest CT (LDCT) scan screening reduces lung cancer mortality. Age and smoking are the chief risk factors tested in LDCT studies, but numerous risk prediction models that incorporate additional lung cancer risk factors have shown excellent performance. The studies of LDCT in asbestos-exposed populations shows favorable results but are variable in design and limited in size and generalizability. Outstanding questions include how to: (1) identify workers appropriate for screening, (2) organize screening programs, (3) inform and motivate people to screen, and (4) incorporate asbestos exposure into LDCT decision-making in clinical practice. Conclusion: Screening workers aged ≥50 years with a history of ≥5 years asbestos exposure (or fewer years given intense exposure) in combination with either (a) a history of smoking at least 10 pack-years with no limit on time since quitting, or (b) a history of asbestos-related fibrosis, chronic lung disease, family history of lung cancer, personal history of cancer, or exposure to multiple workplace lung carcinogens is a reasonable approach to LDCT eligibility, given current knowledge. The promotion of LDCT-based screening among asbestos-exposed workers is an urgent priority.
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11
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Quaife SL, Waller J, Dickson JL, Brain KE, Kurtidu C, McCabe J, Hackshaw A, Duffy SW, Janes SM. Psychological Targets for Lung Cancer Screening Uptake: A Prospective Longitudinal Cohort Study. J Thorac Oncol 2021; 16:2016-2028. [PMID: 34403828 DOI: 10.1016/j.jtho.2021.07.025] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 07/26/2021] [Accepted: 07/30/2021] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Low uptake of low-dose computed tomography lung cancer screening by high-risk groups compromises its effectiveness and equity as a population-level early detection strategy. Numerous psychological factors are implicated qualitatively or retrospectively, but prospective data are needed to validate their associations with uptake behavior and specify psychological targets for intervention. METHODS This is a prospective, longitudinal cohort study evaluating psychological correlates of lung cancer screening uptake. Ever-smokers (aged 55-77 y) were invited to a lung health check, at which low-dose computed tomography screening was offered through the SUMMIT Study-a multicenter screening implementation trial. One week after their screening invitation, 44,000 invitees were mailed the self-regulatory questionnaire for lung cancer screening. Regression analyses evaluated the constructs' associations with uptake (telephoning for an appointment) and sociodemographic characteristics. RESULTS Higher odds of uptake were associated with both positive and negative perceptions. Positive perceptions included lung cancer controllability, benefits of early diagnosis, improved survival when lung cancer is detected early, willingness to be treated, and believing smoking cessation is effective in reducing risk. Negative perceptions included a higher lung cancer risk perception, negative beliefs about the consequences of lung cancer, perceiving lung cancer as stigmatized, and a negative emotional response. Although current smokers held the highest risk perceptions, they also reported negative perceptions that could undermine how they behave in response to their risk. CONCLUSIONS Interventions to improve uptake should focus on changing perceptions that affect how an individual reacts when they believe their risk of lung cancer is high.
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Affiliation(s)
- Samantha L Quaife
- Wolfson Institute of Population Health, Barts, and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
| | - Jo Waller
- School of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom
| | - Jennifer L Dickson
- Lungs for Living Research Centre, UCL Respiratory, Division of Medicine, University College London, United Kingdom
| | - Kate E Brain
- Division of Population Medicine, Cardiff University, Cardiff, United Kingdom
| | - Clara Kurtidu
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - John McCabe
- Lungs for Living Research Centre, UCL Respiratory, Division of Medicine, University College London, United Kingdom
| | - Allan Hackshaw
- Cancer Research UK and UCL Cancer Trials Centre, Cancer Institute, University College London, London, United Kingdom
| | - Stephen W Duffy
- Wolfson Institute of Population Health, Barts, and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Samuel M Janes
- Lungs for Living Research Centre, UCL Respiratory, Division of Medicine, University College London, United Kingdom
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12
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Goudemant C, Durieux V, Grigoriu B, Berghmans T. [Lung cancer screening with low dose computed tomography : a systematic review]. Rev Mal Respir 2021; 38:489-505. [PMID: 33994043 DOI: 10.1016/j.rmr.2021.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Accepted: 02/26/2021] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Bronchial cancer, often diagnosed at a late stage, is the leading cause of cancer death. As early detection could potentially lead to curative treatment, several studies have evaluated low-dose chest CT (LDCT) as a screening method. The main objective of this work is to determine the impact of LDCT screening on overall mortality of a smoking population. METHODS Systematic review of randomised controlled screening trials comparing LDCT with no screening or chest x-ray. RESULTS Thirteen randomised controlled trials were identified, seven of which reported mortality results. NSLT showed a significant reduction of 6.7% in overall mortality and 20% in lung cancer mortality after 6.5 years of follow-up. NELSON showed a significant reduction in lung cancer mortality of 24% at 10 years among men. LUSI and MILD showed a reduction in lung cancer mortality of 69% at 8 years among women and 39% at 10 years, respectively. CONCLUSION Screening for bronchial cancer is a complex issue. Clarification is needed regarding the selection of individuals, the definition of a positive result and the attitude towards a suspicious nodule.
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Affiliation(s)
- C Goudemant
- Département des soins intensifs & urgences oncologiques et clinique d'oncologie thoracique, institut Jules-Bordet, Rue Héger-Bordet 1, 1000 Bruxelles, Belgique.
| | - V Durieux
- Bibliothèque des Sciences de la Santé, Université libre de Bruxelles
| | - B Grigoriu
- Département des soins intensifs & urgences oncologiques et clinique d'oncologie thoracique, institut Jules-Bordet, Rue Héger-Bordet 1, 1000 Bruxelles, Belgique
| | - T Berghmans
- Département des soins intensifs & urgences oncologiques et clinique d'oncologie thoracique, institut Jules-Bordet, Rue Héger-Bordet 1, 1000 Bruxelles, Belgique
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13
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Ten Haaf K, van der Aalst CM, de Koning HJ, Kaaks R, Tammemägi MC. Personalising lung cancer screening: An overview of risk-stratification opportunities and challenges. Int J Cancer 2021; 149:250-263. [PMID: 33783822 PMCID: PMC8251929 DOI: 10.1002/ijc.33578] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 03/04/2021] [Accepted: 03/12/2021] [Indexed: 12/17/2022]
Abstract
Randomised clinical trials have shown the efficacy of computed tomography lung cancer screening, initiating discussions on whether and how to implement population‐based screening programs. Due to smoking behaviour being the primary risk‐factor for lung cancer and part of the criteria for determining screening eligibility, lung cancer screening is inherently risk‐based. In fact, the selection of high‐risk individuals has been shown to be essential in implementing lung cancer screening in a cost‐effective manner. Furthermore, studies have shown that further risk‐stratification may improve screening efficiency, allow personalisation of the screening interval and reduce health disparities. However, implementing risk‐based lung cancer screening programs also requires overcoming a number of challenges. There are indications that risk‐based approaches can negatively influence the trade‐off between individual benefits and harms if not applied thoughtfully. Large‐scale implementation of targeted, risk‐based screening programs has been limited thus far. Consequently, questions remain on how to efficiently identify and invite high‐risk individuals from the general population. Finally, while risk‐based approaches may increase screening program efficiency, efficiency should be balanced with the overall impact of the screening program. In this review, we will address the opportunities and challenges in applying risk‐stratification in different aspects of lung cancer screening programs, as well as the balance between screening program efficiency and impact.
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Affiliation(s)
- Kevin Ten Haaf
- Department of Public Health, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Carlijn M van der Aalst
- Department of Public Health, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Harry J de Koning
- Department of Public Health, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Translational Lung Research Center (TLRC) Heidelberg, Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Martin C Tammemägi
- Department of Health Sciences, Brock University, St. Catharines, Ontario, Canada
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14
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van der Aalst CM, Ten Haaf K, de Koning HJ. Implementation of lung cancer screening: what are the main issues? Transl Lung Cancer Res 2021; 10:1050-1063. [PMID: 33718044 PMCID: PMC7947387 DOI: 10.21037/tlcr-20-985] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Two large-scale RCTs have shown computed tomography (CT) lung cancer screening to be efficacious in reducing lung cancer mortality (8–24% in men, 26–59% in women). However, lung cancer screening implicitly means personalised and risk-based approaches. Health care systems’ implementation of personalised screening and prevention is still sparse, and likely to be of variable quality, because of important remaining uncertainties, which have been incompletely addressed or not at all so far. Further optimisation of lung cancer screening programs is expected to reduce harms and maintain or enhance benefit for eligible European citizens, whilst significantly reducing health care costs. Some main uncertainties (e.g., Risk-based eligibility, Risk-based screening intervals, Volume CT screening, Smoking Cessation, Gender and Sex differences, Cost-Effectiveness) are discussed in this review. 4-IN-THE-LUNG-RUN (acronym for: Towards INdividually tailored INvitations, screening INtervals and INtegrated co-morbidity reducing strategies in lung cancer screening) is the first multi-centred implementation trial on volume CT lung cancer screening amongst 24,000 males and females, at high risk for developing lung cancer, across five European countries, started in January 2020. Through providing answers to the remaining questions with this trial, many EU citizens will swiftly benefit from this high-quality screening technology, others will face less harms than previously anticipated, and health care costs will be substantially reduced. Implementing a new cancer screening programme is a major task, with many stakeholders and many possible facilitators but also barriers and obstacle.
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Affiliation(s)
- Carlijn M van der Aalst
- Department of Public Health, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Kevin Ten Haaf
- Department of Public Health, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Harry J de Koning
- Department of Public Health, Erasmus MC-University Medical Center Rotterdam, Rotterdam, The Netherlands
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15
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Moldovanu D, de Koning HJ, van der Aalst CM. Lung cancer screening and smoking cessation efforts. Transl Lung Cancer Res 2021; 10:1099-1109. [PMID: 33718048 PMCID: PMC7947402 DOI: 10.21037/tlcr-20-899] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Randomized-controlled trials have confirmed substantial reductions in lung cancer mortality with low-dose computed tomography (LDCT) screening. Evidence on how to integrate smoking cessation support in lung cancer screening is however scarce. This represents a significant gap in the literature, as a combined strategy of lung cancer screening and smoking cessation greatly reduces the mortality risk due to lung cancer and other related comorbidities. In this review, a literature search in MEDLINE, Embase, Web of Science, the Cochrane Central Register of Controlled Trials and Google Scholar was performed to identify randomized-controlled and observational studies investigating the effect of lung cancer screening trials and integrated cessation interventions on smoking cessation. Of the 236 identified records, we included 32 original publications. Smoking cessation rates in lung cancer screening trials are promising. Especially findings suspicious for lung cancer and referral to a physician might function as a teachable moment to motivate smoking abstinence in current smokers or recent quitters. More intensive, personalized and multi-modality smoking cessation interventions delivered by a clinician appear to be the most successful in influencing smoking behavior. While it is evident that smoking cessation should be incorporated in lung cancer screening, further research is required to ascertain the optimal treatment type, modality, timing, and content of communication including the incorporation of CT results to motivate health behavior change.
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Affiliation(s)
- Dana Moldovanu
- Department of Public Health, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Harry J de Koning
- Department of Public Health, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Carlijn M van der Aalst
- Department of Public Health, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands
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16
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Baldwin DR, Brain K, Quaife S. Participation in lung cancer screening. Transl Lung Cancer Res 2021; 10:1091-1098. [PMID: 33718047 PMCID: PMC7947401 DOI: 10.21037/tlcr-20-917] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 12/04/2020] [Indexed: 11/06/2022]
Abstract
Although there is now strong evidence for the efficacy of low-radiation dose computed tomography in reducing lung cancer mortality, the challenge is to establish screening programmes that have the maximum impact on the disease. In screening programmes, participation rates are a major determinant of the success of the programme. Informed uptake, participation, and adherence (to successive screening rounds) determine the overall impact of the intervention by ensuring the maximum number of people at risk of the disease are screened regularly and therefore have the most chance of benefiting. Existing cancer screening programmes have taught us a great deal about methods that improve participation. Although evidence is emerging for the efficacy of some of those methods in lung cancer screening, there is still much work to do in the specific demographic that is most at risk of lung cancer. This demographic, characterised by higher levels of socioeconomic deprivation, may be less willing to engage with healthcare interventions and present a particular challenge in the process of ensuring informed choice. In this article we review the evidence for improving participation and describe the challenges that need to be addressed to ensure the successful implementation of CT screening programmes.
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Affiliation(s)
- David R. Baldwin
- Divison of Epidemiology and Public Health, University of Nottingham, Nottingham, UK
- Department of Respiratory Medicine, Nottingham University Hospitals, Nottingham, UK
| | - Kate Brain
- Division of Population Medicine, Cardiff University, Heath Park, Cardiff, UK
| | - Samantha Quaife
- Department of Behavioural Science and Health, Institute of Epidemiology and Public Health, University College London, London, UK
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17
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Li Q, Xiaoan F, Xu K, He H, Jiang N. A stability study of carbonyl compounds in Tedlar bags by a fabricated MEMS microreactor approach. Microchem J 2021. [DOI: 10.1016/j.microc.2020.105611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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18
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Ostrowski M, Marczyk M, Dziedzic R, Jelitto-Górska M, Marjański T, Pisiak S, Jędrzejczyk T, Polańska J, Zdrojewski T, Wojtyniak B, Rzyman W. Lung cancer survival and comorbidities in lung cancer screening participants of the Gdańsk screening cohort. Eur J Public Health 2020; 29:1114-1117. [PMID: 31004154 DOI: 10.1093/eurpub/ckz052] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND In 2010, the World Health Organisation recommended implementation of screening programmes in four groups of diseases-neoplasms, cardiovascular diseases (CVD), diabetes mellitus (DM) and chronic obstructive pulmonary disease (COPD). It is due to the fact that they share the same, modifiable risk factors. METHODS Between 2009 and 2011, 8637 heavy smokers (aged 50-75, smoking history >20 pack-years) were screened in the Pomeranian Pilot Lung Cancer Screening Programme (PPP) in Gdańsk, Poland. We looked at 5-year follow-up and analysed the medical events and comorbidities of all participants. One health care provider in the Polish health care system provides a unique opportunity to gather most reliable data on all medical events in each person. RESULTS In 52.0% of lung cancer screening participants CVD (33.5%), DM (26.0%) and COPD (21.0%) were diagnosed. Prevalence of these diseases is higher in lung cancer patients than in the non-cancer screening group (P < 0.0001). One hundred and seven (1.2%) lung cancers were diagnosed during PPP programme performance and another 382 cases (4.4%) in the 5-year follow-up, so the potential mean annual lung cancer detection rate is 0.77%. CONCLUSIONS Lung cancer screening programme offers a great potential for joint screening of lung cancer, CVD, diabetes and COPD.
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Affiliation(s)
- Marcin Ostrowski
- Department of Thoracic Surgery, Medical University of Gdańsk, Gdańsk, Poland
| | - Michał Marczyk
- Data Mining Division, Silesian University of Technology, Gliwice, Poland.,Department of Internal Medicine, Howard Hughes Medical Institute, Yale University, New Haven, CT 06519, USA
| | - Robert Dziedzic
- Department of Thoracic Surgery, Medical University of Gdańsk, Gdańsk, Poland
| | | | - Tomasz Marjański
- Department of Thoracic Surgery, Medical University of Gdańsk, Gdańsk, Poland
| | - Sylwia Pisiak
- Department of Non-Invasive Cardiac Diagnostics, Medical University of Gdańsk, Gdańsk, Poland
| | - Tadeusz Jędrzejczyk
- Department of Public Health and Social Medicine, Medical University of Gdańsk, Gdańsk, Poland
| | - Joanna Polańska
- Data Mining Division, Silesian University of Technology, Gliwice, Poland
| | - Tomasz Zdrojewski
- Department of Preventive Medicine and Education, Medical University of Gdańsk, Gdańsk, Poland
| | - Bogdan Wojtyniak
- National Institute of Public Health-National Institute of Hygiene, Warsaw, Poland
| | - Witold Rzyman
- Department of Thoracic Surgery, Medical University of Gdańsk, Gdańsk, Poland
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19
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Veronesi G, Baldwin DR, Henschke CI, Ghislandi S, Iavicoli S, Oudkerk M, De Koning HJ, Shemesh J, Field JK, Zulueta JJ, Horgan D, Fiestas Navarrete L, Infante MV, Novellis P, Murray RL, Peled N, Rampinelli C, Rocco G, Rzyman W, Scagliotti GV, Tammemagi MC, Bertolaccini L, Triphuridet N, Yip R, Rossi A, Senan S, Ferrante G, Brain K, van der Aalst C, Bonomo L, Consonni D, Van Meerbeeck JP, Maisonneuve P, Novello S, Devaraj A, Saghir Z, Pelosi G. Recommendations for Implementing Lung Cancer Screening with Low-Dose Computed Tomography in Europe. Cancers (Basel) 2020; 12:E1672. [PMID: 32599792 PMCID: PMC7352874 DOI: 10.3390/cancers12061672] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 06/15/2020] [Accepted: 06/17/2020] [Indexed: 12/11/2022] Open
Abstract
Lung cancer screening (LCS) with low-dose computed tomography (LDCT) was demonstrated in the National Lung Screening Trial (NLST) to reduce mortality from the disease. European mortality data has recently become available from the Nelson randomised controlled trial, which confirmed lung cancer mortality reductions by 26% in men and 39-61% in women. Recent studies in Europe and the USA also showed positive results in screening workers exposed to asbestos. All European experts attending the "Initiative for European Lung Screening (IELS)"-a large international group of physicians and other experts concerned with lung cancer-agreed that LDCT-LCS should be implemented in Europe. However, the economic impact of LDCT-LCS and guidelines for its effective and safe implementation still need to be formulated. To this purpose, the IELS was asked to prepare recommendations to implement LCS and examine outstanding issues. A subgroup carried out a comprehensive literature review on LDCT-LCS and presented findings at a meeting held in Milan in November 2018. The present recommendations reflect that consensus was reached.
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Affiliation(s)
- Giulia Veronesi
- Faculty of Medicine and Surgery—Vita-Salute San Raffaele University, 20132 Milan, Italy;
- Division of Thoracic Surgery, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy;
| | - David R. Baldwin
- Department of Respiratory Medicine, David Evans Research Centre, Nottingham University Hospitals NHS Trust, Nottingham NG5 1PB, UK;
| | - Claudia I. Henschke
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (C.I.H.); (N.T.); (R.Y.)
| | - Simone Ghislandi
- Department of Social and Political Sciences, Bocconi University, 20136 Milan, Italy; (S.G.); (L.F.N.)
| | - Sergio Iavicoli
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian Workers’ Compensation Authority (INAIL), 00078 Rome, Italy;
| | - Matthijs Oudkerk
- Center for Medical Imaging, University Medical Center Groningen, University of Groningen, 9712 CP Groningen, The Netherlands;
| | - Harry J. De Koning
- Department of Public Health, Erasmus MC—University Medical Centre Rotterdam, 3015 GD Rotterdam, The Netherlands; (H.J.D.K.); (C.v.d.A.)
| | - Joseph Shemesh
- The Grace Ballas Cardiac Research Unit, Sheba Medical Center, Affiliated with the Sackler Faculty of Medicine, Tel-Aviv University, 52621 Tel Aviv-Yafo, Israel;
| | - John K. Field
- Roy Castle Lung Cancer Research Programme, Department of Molecular and Clinical Cancer Medicine, The University of Liverpool, Liverpool L69 3BX, UK;
| | - Javier J. Zulueta
- Department of Pulmonology, Clinica Universidad de Navarra, 31008 Pamplona, Spain;
- Visiongate Inc., Phoenix, AZ 85044, USA
| | - Denis Horgan
- European Alliance for Personalised Medicine (EAPM), Avenue de l’Armée Legerlaan 10, 1040 Brussels, Belgium;
| | - Lucia Fiestas Navarrete
- Department of Social and Political Sciences, Bocconi University, 20136 Milan, Italy; (S.G.); (L.F.N.)
| | | | - Pierluigi Novellis
- Division of Thoracic Surgery, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy;
| | - Rachael L. Murray
- Division of Epidemiology and Public Health, UK Centre for Tobacco and Alcohol Studies, Clinical Sciences Building, City Hospital, University of Nottingham, Nottingham NG5 1PB, UK;
| | - Nir Peled
- The Legacy Heritage Oncology Center & Dr. Larry Norton Institute, Soroka Medical Center & Ben-Gurion University, 84101 Beer-Sheva, Israel;
| | - Cristiano Rampinelli
- Department of Medical Imaging and Radiation Sciences, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy;
| | - Gaetano Rocco
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA;
| | - Witold Rzyman
- Department of Thoracic Surgery, Medical University of Gdańsk, 80-210 Gdańsk, Poland;
| | | | - Martin C. Tammemagi
- Department of Health Sciences, Brock University, 1812 Sir Isaac Brock Way, St Catharines, ON L2S 3A1, Canada;
| | - Luca Bertolaccini
- Division of Thoracic Surgery, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy;
| | - Natthaya Triphuridet
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (C.I.H.); (N.T.); (R.Y.)
- Faculty of Medicine and Public Health, Chulabhorn Royal Academy, HRH Princess Chulabhorn College of Medical Science, Bangkok 10210, Thailand
| | - Rowena Yip
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (C.I.H.); (N.T.); (R.Y.)
| | - Alexia Rossi
- Department of Biomedical Sciences, Humanitas University, 20090 Pieve Emanuele (MI), Italy;
| | - Suresh Senan
- Department of Radiation Oncology, Amsterdam University Medical Centers, VU location, De Boelelaan 1117, Postbox 7057, 1007 MB Amsterdam, The Netherlands;
| | - Giuseppe Ferrante
- Department of Cardiovascular Medicine, Humanitas Clinical and Research Center IRCCS, 20089 Rozzano (MI), Italy;
| | - Kate Brain
- Division of Population Medicine, School of Medicine, Cardiff University, Cardiff CF14 4YS, UK;
| | - Carlijn van der Aalst
- Department of Public Health, Erasmus MC—University Medical Centre Rotterdam, 3015 GD Rotterdam, The Netherlands; (H.J.D.K.); (C.v.d.A.)
| | - Lorenzo Bonomo
- Department of Bioimaging and Radiological Sciences, Catholic University, 00168 Rome, Italy;
| | - Dario Consonni
- Epidemiology Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy;
| | - Jan P. Van Meerbeeck
- Thoracic Oncology, Antwerp University Hospital and Ghent University, 2650 Edegem, Belgium;
| | - Patrick Maisonneuve
- Division of Epidemiology and Biostatistics, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy;
| | - Silvia Novello
- Department of Oncology, University of Torino, 10124 Torino, Italy; (G.V.S.); (S.N.)
| | - Anand Devaraj
- Department of Radiology, Royal Brompton Hospital, London SW3 6NP, UK;
| | - Zaigham Saghir
- Department of Respiratory Medicine, Herlev-Gentofte University Hospital, 2900 Hellerup, Denmark;
| | - Giuseppe Pelosi
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy
- Inter-Hospital Pathology Division, IRCCS MultiMedica, 20138 Milan, Italy
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20
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Recommendations for Implementing Lung Cancer Screening with Low-Dose Computed Tomography in Europe. Cancers (Basel) 2020; 12:0. [PMID: 32599792 PMCID: PMC7352874 DOI: 10.3390/cancers12060000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Lung cancer screening (LCS) with low-dose computed tomography (LDCT) was demonstrated in the National Lung Screening Trial (NLST) to reduce mortality from the disease. European mortality data has recently become available from the Nelson randomised controlled trial, which confirmed lung cancer mortality reductions by 26% in men and 39-61% in women. Recent studies in Europe and the USA also showed positive results in screening workers exposed to asbestos. All European experts attending the "Initiative for European Lung Screening (IELS)"-a large international group of physicians and other experts concerned with lung cancer-agreed that LDCT-LCS should be implemented in Europe. However, the economic impact of LDCT-LCS and guidelines for its effective and safe implementation still need to be formulated. To this purpose, the IELS was asked to prepare recommendations to implement LCS and examine outstanding issues. A subgroup carried out a comprehensive literature review on LDCT-LCS and presented findings at a meeting held in Milan in November 2018. The present recommendations reflect that consensus was reached.
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Quaife SL, Ruparel M, Dickson JL, Beeken RJ, McEwen A, Baldwin DR, Bhowmik A, Navani N, Sennett K, Duffy SW, Wardle J, Waller J, Janes SM. Lung Screen Uptake Trial (LSUT): Randomized Controlled Clinical Trial Testing Targeted Invitation Materials. Am J Respir Crit Care Med 2020; 201:965-975. [PMID: 31825647 PMCID: PMC7159423 DOI: 10.1164/rccm.201905-0946oc] [Citation(s) in RCA: 75] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Accepted: 12/10/2019] [Indexed: 12/25/2022] Open
Abstract
Rationale: Low uptake of low-dose computed tomography (LDCT) lung cancer screening, particularly by current smokers of a low socioeconomic position, compromises effectiveness and equity.Objectives: To compare the effect of a targeted, low-burden, and stepped invitation strategy versus control on uptake of hospital-based Lung Health Check appointments offering LDCT screening.Methods: In a two-arm, blinded, between-subjects, randomized controlled trial, 2,012 participants were selected from 16 primary care practices using these criteria: 1) aged 60 to 75 years, 2) recorded as a current smoker within the last 7 years, and 3) no prespecified exclusion criteria contraindicating LDCT screening. Both groups received a stepped sequence of preinvitation, invitation, and reminder letters from their primary care practitioner offering prescheduled appointments. The key manipulation was the accompanying leaflet. The intervention group's leaflet targeted psychological barriers and provided low-burden information, mimicking the concept of the U.K. Ministry of Transport's annual vehicle test ("M.O.T. For Your Lungs").Measurements and Main Results: Uptake was 52.6%, with no difference between intervention (52.3%) and control (52.9%) groups in unadjusted (odds ratio [OR], 0.98; 95% confidence interval [CI], 0.82-1.16) or adjusted (OR, 0.98; 95% CI, 0.82-1.17) analyses. Current smokers were less likely to attend (adjusted OR, 0.70; 95% CI, 0.56-0.86) than former smokers. Socioeconomic deprivation was significantly associated with lower uptake for the control group only (P < 0.01).Conclusions: The intervention did not improve uptake. Regardless of trial arm, uptake was considerably higher than previous clinical and real-world studies, particularly given that the samples were predominantly lower socioeconomic position smokers. Strategies common to both groups, including a Lung Health Check approach, could represent a minimum standard.Clinical trial registered with www.clinicaltrials.gov (NCT02558101) and registered prospectively with the International Standard Registered Clinical/Social Study (N21774741).
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Affiliation(s)
| | - Mamta Ruparel
- Lungs for Living Research Centre, UCL Respiratory, Division of Medicine, University College London, London, United Kingdom
| | - Jennifer L. Dickson
- Lungs for Living Research Centre, UCL Respiratory, Division of Medicine, University College London, London, United Kingdom
| | - Rebecca J. Beeken
- Research Department of Behavioural Science and Health and
- Leeds Institute of Health Sciences, University of Leeds, Leeds, United Kingdom
| | - Andy McEwen
- National Centre for Smoking Cessation and Training, Dorchester, United Kingdom
| | - David R. Baldwin
- Respiratory Medicine Unit, David Evans Research Centre, Nottingham University Hospitals, Nottingham, United Kingdom
| | - Angshu Bhowmik
- Department of Thoracic Medicine, Homerton University Hospital, London, United Kingdom
| | - Neal Navani
- Department of Thoracic Medicine, University College London Hospital, London, United Kingdom
| | - Karen Sennett
- Killick Street Health Centre, London, United Kingdom
| | - Stephen W. Duffy
- Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom; and
| | - Jane Wardle
- Research Department of Behavioural Science and Health and
| | - Jo Waller
- Research Department of Behavioural Science and Health and
- School of Cancer and Pharmaceutical Sciences, King’s College London, London, United Kingdom
| | - Samuel M. Janes
- Lungs for Living Research Centre, UCL Respiratory, Division of Medicine, University College London, London, United Kingdom
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Gerber DE, Hamann HA, Chavez C, Dorsey O, Santini NO, Browning T, Ochoa CD, Adesina J, Natchimuthu VS, Steen E, Zhu H, Lee SJC. Tracking the Nonenrolled: Lung Cancer Screening Patterns Among Individuals not Accrued to a Clinical Trial. Clin Lung Cancer 2020; 21:326-332. [PMID: 32184050 DOI: 10.1016/j.cllc.2020.02.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 01/24/2020] [Accepted: 02/13/2020] [Indexed: 01/31/2023]
Abstract
INTRODUCTION For lung cancer screening, the available data are often derived from patients enrolled prospectively in clinical trials. We, therefore, investigated lung cancer screening patterns among individuals eligible for, but not enrolled in, a screening trial. PATIENTS AND METHODS From February 2017 through February 2019, we enrolled subjects in a trial examining telephone-based navigation during low-dose computed tomography (LDCT) for lung cancer screening. We identified patients for whom LDCT was ordered and who were approached, but not enrolled, in the trial. We categorized nonenrollment as the patient had declined or could not be reached. We compared the characteristics and LDCT completion rates among these groups and the enrolled population using the 2-sample t test and χ2 test. RESULTS Of 900 individuals approached for participation (mean age, 62 years; 45% women, 53% black), 447 were enrolled in the screening clinical trial. No significant demographic differences were found between the enrolled and nonenrolled cohorts. Of the 453 individuals not enrolled, 251 (55%) had declined participation and 202 (45%) could not be reached, despite up to 6 attempts. LDCT completion was significantly associated with enrollment status: 81% of enrolled individuals, 73% of individuals who declined participation, and 49% of those who could not be reached (P < .001). CONCLUSIONS In the present single-center study, demographic factors did not predict for participation in a lung cancer screening trial. Lung cancer screening adherence rates were substantially lower for those not enrolled in a screening trial, especially for those who could not be contacted. These findings may inform the broader implementation of screening programs.
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Affiliation(s)
- David E Gerber
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX; Division of Hematology-Oncology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX; Division of Hematology-Oncology, Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX.
| | - Heidi A Hamann
- Department of Psychology, University of Arizona, Tucson, AZ; Department of Family and Community Medicine, University of Arizona, Tucson, AZ
| | - Claudia Chavez
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
| | - Olivia Dorsey
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
| | | | - Travis Browning
- Parkland Health and Hospital System, Dallas, TX; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Cristhiaan D Ochoa
- Parkland Health and Hospital System, Dallas, TX; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | | | | | - Eric Steen
- Parkland Health and Hospital System, Dallas, TX; Division of General Internal Medicine, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | - Hong Zhu
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX; Division of Hematology-Oncology, Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX
| | - Simon J Craddock Lee
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX; Division of Hematology-Oncology, Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX
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23
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de Koning HJ, van der Aalst CM, de Jong PA, Scholten ET, Nackaerts K, Heuvelmans MA, Lammers JWJ, Weenink C, Yousaf-Khan U, Horeweg N, van 't Westeinde S, Prokop M, Mali WP, Mohamed Hoesein FAA, van Ooijen PMA, Aerts JGJV, den Bakker MA, Thunnissen E, Verschakelen J, Vliegenthart R, Walter JE, Ten Haaf K, Groen HJM, Oudkerk M. Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial. N Engl J Med 2020; 382:503-513. [PMID: 31995683 DOI: 10.1056/nejmoa1911793] [Citation(s) in RCA: 1712] [Impact Index Per Article: 428.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND There are limited data from randomized trials regarding whether volume-based, low-dose computed tomographic (CT) screening can reduce lung-cancer mortality among male former and current smokers. METHODS A total of 13,195 men (primary analysis) and 2594 women (subgroup analyses) between the ages of 50 and 74 were randomly assigned to undergo CT screening at T0 (baseline), year 1, year 3, and year 5.5 or no screening. We obtained data on cancer diagnosis and the date and cause of death through linkages with national registries in the Netherlands and Belgium, and a review committee confirmed lung cancer as the cause of death when possible. A minimum follow-up of 10 years until December 31, 2015, was completed for all participants. RESULTS Among men, the average adherence to CT screening was 90.0%. On average, 9.2% of the screened participants underwent at least one additional CT scan (initially indeterminate). The overall referral rate for suspicious nodules was 2.1%. At 10 years of follow-up, the incidence of lung cancer was 5.58 cases per 1000 person-years in the screening group and 4.91 cases per 1000 person-years in the control group; lung-cancer mortality was 2.50 deaths per 1000 person-years and 3.30 deaths per 1000 person-years, respectively. The cumulative rate ratio for death from lung cancer at 10 years was 0.76 (95% confidence interval [CI], 0.61 to 0.94; P = 0.01) in the screening group as compared with the control group, similar to the values at years 8 and 9. Among women, the rate ratio was 0.67 (95% CI, 0.38 to 1.14) at 10 years of follow-up, with values of 0.41 to 0.52 in years 7 through 9. CONCLUSIONS In this trial involving high-risk persons, lung-cancer mortality was significantly lower among those who underwent volume CT screening than among those who underwent no screening. There were low rates of follow-up procedures for results suggestive of lung cancer. (Funded by the Netherlands Organization of Health Research and Development and others; NELSON Netherlands Trial Register number, NL580.).
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Affiliation(s)
- Harry J de Koning
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Carlijn M van der Aalst
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Pim A de Jong
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Ernst T Scholten
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Kristiaan Nackaerts
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Marjolein A Heuvelmans
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Jan-Willem J Lammers
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Carla Weenink
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Uraujh Yousaf-Khan
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Nanda Horeweg
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Susan van 't Westeinde
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Mathias Prokop
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Willem P Mali
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Firdaus A A Mohamed Hoesein
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Peter M A van Ooijen
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Joachim G J V Aerts
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Michael A den Bakker
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Erik Thunnissen
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Johny Verschakelen
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Rozemarijn Vliegenthart
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Joan E Walter
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Kevin Ten Haaf
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Harry J M Groen
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
| | - Matthijs Oudkerk
- From the Departments of Public Health (H.J.K., C.M.A., U.Y.-K., K.H.) and Pulmonology (J.G.J.V.A.), Erasmus MC-University Medical Center Rotterdam, and the Departments of Pulmonology (S.W.) and Pathology (M.A.B.), Maasstad Hospital, Rotterdam, the Departments of Radiology (P.A.J., W.P.M., F.A.A.M.H.) and Pulmonology (J.-W.J.L.), University Medical Center Utrecht, Utrecht, the Departments of Radiology (E.T.S.) and Pulmonology (C.W.), Spaarne Gasthuis, Haarlem, the Department of Radiation Oncology, Leiden University Medical Center, Leiden (N.H.), the Faculty of Medical Sciences (M.A.H., J.E.W., M.O.), the Data Science Center in Health (P.M.A.O.), and the Departments of Radiology (R.V.) and Pulmonology (H.J.M.G), University of Groningen-University Medical Center Groningen, and the Institute for DiagNostic Accuracy (J.E.W., M.O.), Groningen, the Department of Radiology, Radboud University Medical Center, Nijmegen (M.P.), and the Department of Pathology, University Medical Center Amsterdam, Amsterdam (E.T.) - all in the Netherlands; and the Departments of Pulmonology (K.N.) and Radiology (J.V.), KU Leuven, University Hospital, Leuven, Belgium
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Ghimire B, Maroni R, Vulkan D, Shah Z, Gaynor E, Timoney M, Jones L, Arvanitis R, Ledson M, Lukehirst L, Rutherford P, Clarke F, Gardner K, Marcus MW, Hill S, Fidoe D, Mason S, Smith SG, Quaife SL, Fitzgerald K, Poirier V, Duffy SW, Field JK. Evaluation of a health service adopting proactive approach to reduce high risk of lung cancer: The Liverpool Healthy Lung Programme. Lung Cancer 2019; 134:66-71. [PMID: 31319997 DOI: 10.1016/j.lungcan.2019.05.026] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 05/21/2019] [Accepted: 05/26/2019] [Indexed: 10/26/2022]
Abstract
OBJECTIVES This Liverpool Healthy Lung Programme is a response to high rates of lung cancer and respiratory diseases locally and aims to diagnose lung cancer at an earlier stage by proactive approach to those at high risk of lung cancer. The objective of this study is to evaluate the programme in terms of its likely effect on mortality from lung cancer and its delivery to deprived populations. METHODS Persons aged 58-75 years, with a history of smoking or a diagnosis of chronic obstructive pulmonary disease (COPD)2 according to general practice records were invited for lung health check in a community health hub setting. A detailed risk assessment and spirometry were performed in eligible patients. Those with a 5% or greater five-year risk of lung cancer were referred for a low dose CT3 scan. RESULTS A total of 4 566 subjects attended the appointment for risk assessment and 3 591 (79%) consented to data sharing. More than 80% of the patients were in the most deprived quintile of the index of multiple deprivation. Of those attending, 63% underwent spirometry and 43% were recommended for a CT scan. A total of 25 cancers were diagnosed, of which 16 (64%) were stage I. Comparison with the national stage distribution implied that the programme was reducing lung cancer mortality by 22%. CONCLUSIONS Community based proactive approaches to early diagnosis of lung cancer in health deprived regions are likely to be effective in early detection of lung cancer.
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Affiliation(s)
- Bhagabati Ghimire
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, UK.
| | - Roberta Maroni
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, UK
| | - Daniel Vulkan
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, UK
| | - Zoheb Shah
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, UK
| | - Edward Gaynor
- National Health Service (NHS) Liverpool Clinical Commissioning Group, UK
| | - Michelle Timoney
- National Health Service (NHS) Liverpool Clinical Commissioning Group, UK
| | - Lisa Jones
- National Health Service (NHS) Liverpool Clinical Commissioning Group, UK
| | - Rachel Arvanitis
- National Health Service (NHS) Liverpool Clinical Commissioning Group, UK
| | | | | | | | | | - Katy Gardner
- Macmillan General Practitioner, NHS Liverpool Clinical Commissioning Group, UK
| | - Michael W Marcus
- Roy Castle Lung Cancer Research Programme, University of Liverpool Cancer Research Centre, UK
| | - Sarah Hill
- Roy Castle Lung Cancer Research Programme, University of Liverpool Cancer Research Centre, UK
| | - Darcy Fidoe
- Roy Castle Lung Cancer Research Programme, University of Liverpool Cancer Research Centre, UK
| | - Sabrina Mason
- Roy Castle Lung Cancer Research Programme, University of Liverpool Cancer Research Centre, UK
| | - Samuel G Smith
- Leeds Institute of Health Sciences, University of Leeds, UK
| | - Samantha L Quaife
- Research Department of Behavioural Science and Health, University College London, UK
| | - Karen Fitzgerald
- Accelerate, Coordinate, Evaluate (ACE) team, Cancer Research, UK
| | | | - Stephen W Duffy
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, UK
| | - John K Field
- Roy Castle Lung Cancer Research Programme, University of Liverpool Cancer Research Centre, UK
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25
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Donnelly EF, Kazerooni EA, Lee E, Henry TS, Boiselle PM, Crabtree TD, Iannettoni MD, Johnson GB, Laroia AT, Maldonado F, Olsen KM, Shim K, Sirajuddin A, Wu CC, Kanne JP. ACR Appropriateness Criteria ® Lung Cancer Screening. J Am Coll Radiol 2019; 15:S341-S346. [PMID: 30392603 DOI: 10.1016/j.jacr.2018.09.025] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Accepted: 09/07/2018] [Indexed: 02/04/2023]
Abstract
Lung cancer remains the leading cause of cancer death in both men and women. Smoking is the single greatest risk factor for the development of lung cancer. For patients between the age of 55 and 80 with 30 or more pack years smoking history who currently smoke or who have quit within the last 15 years should undergo lung cancer screening with low-dose CT. In patients who do not meet these criteria but who have additional risk factors for lung cancer, lung cancer screening with low-dose CT is controversial but may be appropriate. Imaging is not recommended for lung cancer screening of patient younger than 50 years of age or patients older than 80 years of age or patients of any age with less than 20 packs per year history of smoking and no additional risk factor (ie, radon exposure, occupational exposure, cancer history, family history of lung cancer, history of COPD, or history of pulmonary fibrosis). The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
| | - Edwin F Donnelly
- Panel Chair, Vanderbilt University Medical Center, Nashville, Tennessee.
| | | | - Elizabeth Lee
- Research Author, University of Michigan Health System, Ann Arbor, Michigan
| | - Travis S Henry
- Panel Vice-Chair, University of California San Francisco, San Francisco, California
| | - Phillip M Boiselle
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, Florida
| | - Traves D Crabtree
- Southern Illinois University School of Medicine, Springfield, Illinois; The Society of Thoracic Surgeons
| | - Mark D Iannettoni
- University of Iowa, Iowa City, Iowa; The Society of Thoracic Surgeons
| | | | | | - Fabien Maldonado
- Vanderbilt University Medical Center, Nashville, Tennessee; American College of Chest Physicians
| | | | - Kyungran Shim
- John H. Stroger Jr Hospital of Cook County, Chicago, Illinois; American College of Physicians
| | | | - Carol C Wu
- The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jeffrey P Kanne
- Specialty Chair, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
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26
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Abstract
Lung cancer screening with annual low-dose computed tomography (CT) decreases lung cancer mortality in high-risk patients, as defined by smoking history (> 30 pack-years) and age (55-74 years). Risks to screening include overdiagnosis, anxiety about indeterminate nodules, and radiation exposure. To be effective, lung cancer screening must combine individualized risk assessment, shared decision-making, smoking cessation, structured reporting, high quality and multi-specialty cancer care, and reliable follow-up; a multidisciplinary approach is crucial. Specialty organizations have outlined both the components of high quality lung cancer screening programs and the proposed metrics that programs should track. Long-term outcomes of lung cancer screening in the general population, further refinement of who to screen, and use of biomarkers for early cancer detection are ongoing research questions.
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27
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Chen X, Wang F, Lin L, Dong H, Huang F, Ghulam Muhammad K, Chen L, Gorlova OY. Association of Smoking with Metabolic Volatile Organic Compounds in Exhaled Breath. Int J Mol Sci 2017; 18:ijms18112235. [PMID: 29068415 PMCID: PMC5713205 DOI: 10.3390/ijms18112235] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Revised: 10/16/2017] [Accepted: 10/20/2017] [Indexed: 12/26/2022] Open
Abstract
Lung cancer (LC) screening will be more efficient if it is applied to a well-defined high-risk population. Characteristics including metabolic byproducts may be taken into account to access LC risk more precisely. Breath examination provides a non-invasive method to monitor metabolic byproducts. However, the association between volatile organic compounds (VOCs) in exhaled breath and LC risk or LC risk factors is not studied. Exhaled breath samples from 122 healthy persons, who were given routine annual exam from December 2015 to December 2016, were analyzed using thermal desorption coupled with gas chromatography mass spectrometry (TD-GC-MS). Smoking characteristics, air quality, and other risk factors for lung cancer were collected. Univariate and multivariate analyses were used to evaluate the relationship between VOCs and LC risk factors. 7, 7, 11, and 27 VOCs were correlated with smoking status, smoking intensity, years of smoking, and depth of inhalation, respectively. Exhaled VOCs are related to smoking and might have a potential to evaluate LC risk more precisely. Both an assessment of temporal stability and testing in a prospective study are needed to establish the performance of VOCs such as 2,5-dimethylfuranm and 4-methyloctane as lung cancer risk biomarkers.
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Affiliation(s)
- Xing Chen
- Department of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Ministry of Education of China, Zhejiang University, 38 Zheda Road, Zhou Yi Qing Building, Hangzhou 310027, China.
| | - Fuyuan Wang
- Department of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Ministry of Education of China, Zhejiang University, 38 Zheda Road, Zhou Yi Qing Building, Hangzhou 310027, China.
| | - Liquan Lin
- Department of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Ministry of Education of China, Zhejiang University, 38 Zheda Road, Zhou Yi Qing Building, Hangzhou 310027, China.
| | - Hao Dong
- Department of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Ministry of Education of China, Zhejiang University, 38 Zheda Road, Zhou Yi Qing Building, Hangzhou 310027, China.
| | - Feifei Huang
- Department of Family Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, 3 Qingchun E Rd, Hangzhou 310016, China.
| | - Kanhar Ghulam Muhammad
- Department of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Ministry of Education of China, Zhejiang University, 38 Zheda Road, Zhou Yi Qing Building, Hangzhou 310027, China.
| | - Liying Chen
- Department of Family Medicine, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, 3 Qingchun E Rd, Hangzhou 310016, China.
| | - Olga Y Gorlova
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth College, One Medical Center Drive, Lebanon, NH 03756, USA.
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28
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Mazzone PJ, Tenenbaum A, Seeley M, Petersen H, Lyon C, Han X, Wang XF. Impact of a Lung Cancer Screening Counseling and Shared Decision-Making Visit. Chest 2017; 151:572-578. [DOI: 10.1016/j.chest.2016.10.027] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Revised: 10/05/2016] [Accepted: 10/17/2016] [Indexed: 12/17/2022] Open
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Veronesi G, Colombo P, Novellis P, Crepaldi A, Lutman RF, Dieci E, Profili M, Siracusano L, Alloisio M. Pilot study on use of home telephoning to identify and recruit high-risk individuals for lung cancer screening. Lung Cancer 2017; 105:39-41. [PMID: 28236983 DOI: 10.1016/j.lungcan.2017.01.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Accepted: 01/02/2017] [Indexed: 12/17/2022]
Abstract
Widespread lung cancer screening with low-dose computed tomography is urgently needed in Europe to identify lung cancers early and reduce lung cancer deaths. The most effective method of identifying high-risk individuals and recruiting them for screening has not been determined. In the present pilot study we investigated direct telephoning to families as a way of identifying high risk individuals and recruiting them to a screening/smoking cessation program, that avoided the selection bias of voluntary screening. Families in the province of Milan, Italy, were contacted by telephone at their homes and asked about family members over 50 years who were heavy smokers (30 or more pack-years). Persons meeting these criteria were contacted and asked to participate in the program. Those who agreed were given an appointment to undergo screening and receive smoking cessation counseling. Among the 1000 contacted families, involving 2300 persons, 44 (1.9%) were eligible for LDCT screening, and 12 (27%) of these participated in the program. The cost of this recruitment strategy pilot study was around 150 euro per screened subject. We obtained useful information on the proportion of the general population eligible for lung cancer screening and the proportion of those who responded. However the cost of home telephone calling is probably too high to be practicable as a method of recruiting high risk persons for screening. Alternative recruitment methods, possibly involving family physicians practitioners, need to be investigated.
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Affiliation(s)
- Giulia Veronesi
- Division of Thoracic Surgery, Humanitas Cancer Center, Rozzano, MI, Italy.
| | - Paolo Colombo
- Research Unit, Doxa, Via Panizza 7, 20144 Milano, Italy
| | - Pierluigi Novellis
- Division of Thoracic Surgery, Humanitas Cancer Center, Rozzano, MI, Italy
| | | | | | - Elisa Dieci
- Division of Thoracic Surgery, Humanitas Cancer Center, Rozzano, MI, Italy
| | - Manuel Profili
- Division of Radiology, Humanitas Cancer Center, Rozzano, MI, Italy
| | - Licia Siracusano
- Division of Oncology, Humanitas Cancer Center, Rozzano, MI, Italy
| | - Marco Alloisio
- Division of Thoracic Surgery, Humanitas Cancer Center, Rozzano, MI, Italy
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Warren GW, Ostroff JS, Goffin JR. Lung Cancer Screening, Cancer Treatment, and Addressing the Continuum of Health Risks Caused by Tobacco. Am Soc Clin Oncol Educ Book 2016; 35:223-9. [PMID: 27249702 DOI: 10.1200/edbk_158704] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Tobacco use is the largest preventable risk factor for the development of several cancers, and continued tobacco use by patients with cancer and survivors of cancer causes adverse outcomes. Worldwide tobacco control efforts have reduced tobacco use and improved health outcomes in many countries, but several countries continue to suffer from increased tobacco use and associated adverse health effects. Continued tobacco use by patients undergoing cancer screening or treatment results in continued risk for cancer-related and noncancer-related health conditions. Although integrating tobacco assessment and cessation support into lung cancer screening and cancer care is well justified and feasible, most patients with cancer unfortunately do not receive evidence-based tobacco cessation support. Combining evidence-based methods of treating tobacco addiction, such as behavioral counseling and pharmacotherapy, with practical clinical considerations in the setting of lung cancer screening and cancer treatment should result in substantial improvements in access to evidence-based care and resultant improvements in health risks and cancer treatment outcomes.
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Affiliation(s)
- Graham W Warren
- From the Departments of Radiation Oncology and Cell and Molecular Pharmacology, Medical University of South Carolina, Charleston, SC; Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY; Department of Oncology, McMaster University, Hamilton, Ontario, Canada
| | - Jamie S Ostroff
- From the Departments of Radiation Oncology and Cell and Molecular Pharmacology, Medical University of South Carolina, Charleston, SC; Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY; Department of Oncology, McMaster University, Hamilton, Ontario, Canada
| | - John R Goffin
- From the Departments of Radiation Oncology and Cell and Molecular Pharmacology, Medical University of South Carolina, Charleston, SC; Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY; Department of Oncology, McMaster University, Hamilton, Ontario, Canada
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