Intergroupe francophone de cancérologie thoracique, Société de pneumologie de langue française, and Société d’imagerie thoracique statement paper on lung cancer screening
Tài liệu tham khảo
Ferlay, 2019, Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods, Int J Cancer, 144, 1941, 10.1002/ijc.31937
Locher, 2013, Major changes in lung cancer over the last ten years in France: the KBP-CPHG studies, Lung Cancer, 81, 32, 10.1016/j.lungcan.2013.03.001
Antonia, 2019, Four-year survival with nivolumab in patients with previously treated advanced non-small-cell lung cancer: a pooled analysis, Lancet Oncol, 20, 1395, 10.1016/S1470-2045(19)30407-3
Garon, 2019, Five-year overall survival for patients with advanced non-small-cell lung cancer treated with pembrolizumab: results from the phase I KEYNOTE-001 study, J Clin Oncol, 37, 2518, 10.1200/JCO.19.00934
Henschke, 2006, Survival of patients with stage I lung cancer detected on CT screening, N Engl J Med, 355, 1763, 10.1056/NEJMoa060476
Raz, 2007, Natural history of stage I non-small cell lung cancer: implications for early detection, Chest, 132, 193, 10.1378/chest.06-3096
Oken, 2011, Screening by chest radiograph and lung cancer mortality: the Prostate, Lung, Colorectal, and Ovarian (PLCO) randomized trial, JAMA, 306, 1865, 10.1001/jama.2011.1591
Infante, 2015, Long-term follow-up results of the DANTE Trial, a randomized study of lung cancer screening with spiral computed tomography, Am J Respir Crit Care Med, 191, 1166, 10.1164/rccm.201408-1475OC
Veronesi, 2007, Role of positron emission tomography scanning in the management of lung nodules detected at baseline computed tomography screening, Ann Thorac Surg, 84, 959, 10.1016/j.athoracsur.2007.04.058
Chen, 2011, A comparison of autofluorescence bronchoscopy and white light bronchoscopy in detection of lung cancer and preneoplastic lesions: a meta-analysis, Lung Cancer, 73, 183, 10.1016/j.lungcan.2010.12.002
Couraud, 2016, Lung cancer screening: what is new since the NLST results?, Curr Pulmonol Rep, 5, 130, 10.1007/s13665-016-0139-7
Aberle, 2011, Reduced lung-cancer mortality with low-dose computed tomographic screening, N Engl J Med, 365, 395, 10.1056/NEJMoa1102873
Horeweg, 2013, Volumetric computed tomography screening for lung cancer: three rounds of the NELSON trial, Eur Respir J, 42, 1659, 10.1183/09031936.00197712
Couraud, 2013, Ann Oncol, 24, 586, 10.1093/annonc/mds476
Girard, 2014, Individual lung cancer screening in practice. Perspectives on the propositions from the multidisciplinary group of the Intergroupe francophone de cancérologie thoracique, the Société d’imagerie thoracique and the Groupe d’oncologie de langue française, Rev Mal Respir, 31, 91, 10.1016/j.rmr.2013.10.641
de Koning, 2020, Reduced lung-cancer mortality with volume CT screening in a randomized trial, N Engl J Med, 382, 503, 10.1056/NEJMoa1911793
Wille, 2016, Results of the randomized Danish Lung Cancer Screening Trial with focus on high-risk profiling, Am J Respir Crit Care Med, 193, 542, 10.1164/rccm.201505-1040OC
Paci, 2017, Mortality, survival and incidence rates in the ITALUNG randomized lung cancer screening trial, Thorax, 72, 825, 10.1136/thoraxjnl-2016-209825
Infante, 2017, Lung cancer screening with low-dose spiral computed tomography: evidence from a pooled analysis of two Italian randomized trials, Eur J Cancer, 26, 324, 10.1097/CEJ.0000000000000264
Pastorino, 2019, Prolonged lung cancer screening reduced 10-year mortality in the MILD trial, Ann Oncol, 30, 1162, 10.1093/annonc/mdz117
Becker, 2019, Lung cancer mortality reduction by LDCT screening – Results from the randomized German LUSI trial, Int J Cancer, 146, 1503, 10.1002/ijc.32486
Gendarme, 2017, Economic impact of lung cancer screening in France: a modeling study, Rev Mal Respir, 34, 717, 10.1016/j.rmr.2015.10.004
Leleu, 2020, Lung cancer screening by low-dose CT scan: baseline results of a French prospective study, Clin Lung Cancer, 21, 145, 10.1016/j.cllc.2019.10.014
van Iersel, 2007, Risk-based selection from the general population in a screening trial: selection criteria, recruitment and power for the Dutch–Belgian randomized lung cancer multi-slice CT screening trial (NELSON), Int J Cancer, 120, 868, 10.1002/ijc.22134
Moyer, 2014, Screening for lung cancer: US Preventive Services Task Force recommendation statement, Ann Intern Med, 160, 330
Katki, 2016, Development and validation of risk models to select ever-smokers for CT lung cancer screening, JAMA, 315, 2300, 10.1001/jama.2016.6255
Gray, 2016, Risk prediction models for lung cancer: a systematic review, Clin Lung Cancer, 17, 95, 10.1016/j.cllc.2015.11.007
Field, 2016, UK Lung Cancer RCT Pilot Screening Trial: baseline findings from the screening arm provide evidence for the potential implementation of lung cancer screening, Thorax, 71, 161, 10.1136/thoraxjnl-2015-207140
Tammemagi, 2017, Participant selection for lung cancer screening by risk modelling (the Pan-Canadian Early Detection of Lung Cancer [PanCan] study): a single-arm, prospective study, Lancet Oncol, 18, 1523, 10.1016/S1470-2045(17)30597-1
Carreras, 2012, Can a national lung cancer screening program in combination with smoking cessation policies cause an early decrease in tobacco deaths in Italy?, Cancer Prev Res, 5, 874, 10.1158/1940-6207.CAPR-12-0019
Joseph, 2018, Lung cancer screening and smoking cessation clinical trials. SCALE (Smoking Cessation within the Context of Lung Cancer Screening) collaboration, Am J Respir Crit Care Med, 197, 172, 10.1164/rccm.201705-0909CI
Iaccarino, 2019, Combining smoking cessation interventions with LDCT lung cancer screening: a systematic review, Prev Med, 121, 24, 10.1016/j.ypmed.2019.02.016
Zeng, 2019, Interventions for smoking cessation in people diagnosed with lung cancer, Cochrane Database Syst Rev, 6, CD011751
Henschke, 2011, Assessment of lung-cancer mortality reduction from CT screening, Lung Cancer, 71, 328, 10.1016/j.lungcan.2010.10.025
Veronesi, 2010, Long-term outcomes of a pilot CT screening for lung cancer, Ecancermedicalscience, 4, 186
Veronesi, 2013, Computed tomography screening for lung cancer: results of ten years of annual screening and validation of cosmos prediction model, Lung Cancer, 82, 426, 10.1016/j.lungcan.2013.08.026
Yousaf-Khan, 2017, Final screening round of the NELSON lung cancer screening trial: the effect of a 2.5-year screening interval, Thorax, 72, 48, 10.1136/thoraxjnl-2016-208655
Pastorino, 2012, Annual or biennial CT screening versus observation in heavy smokers: 5-year results of the MILD trial, Eur J Cancer, 21, 308, 10.1097/CEJ.0b013e328351e1b6
Sverzellati, 2016, Low-dose computed tomography for lung cancer screening: comparison of performance between annual and biennial screen, Eur Radiol, 26, 3821, 10.1007/s00330-016-4228-3
Humphrey, 2013, Screening for lung cancer with low-dose computed tomography: a systematic review to update the US Preventive services task force recommendation, Ann Intern Med, 159, 411, 10.7326/0003-4819-159-6-201309170-00690
Horeweg, 2013, Participants’ results of three rounds of the randomized Dutch–Belgian Lung Cancer Screening Trial: a volumetry-based computer tomography screening strategy, Am J Respir Crit Care Med, 187, A2344
de Koning, 2014, Benefits and harms of computed tomography lung cancer screening strategies: a comparative modeling study for the US Preventive Services Task Force, Ann Intern Med, 160, 311, 10.7326/M13-2316
de Koning, 2014, Raising the bar for the US Preventive Services Task Force, Ann Intern Med, 161, 532, 10.7326/L14-5019-3
Ten Haaf, 2015, Lung cancer detectability by test, histology, stage, and gender: estimates from the NLST and the PLCO trials, Cancer Epidemiol Biomark Prev, 24, 154, 10.1158/1055-9965.EPI-14-0745
Tammemägi, 2019, Development and validation of a multivariable lung cancer risk prediction model that includes low-dose computed tomography screening results: a secondary analysis of data from the National Lung Screening Trial, JAMA Netw Open, 2, e190204, 10.1001/jamanetworkopen.2019.0204
Patz, 2016, Lung cancer incidence and mortality in National Lung Screening Trial participants who underwent low-dose CT prevalence screening: a retrospective cohort analysis of a randomised, multicentre, diagnostic screening trial, Lancet Oncol, 17, 590, 10.1016/S1470-2045(15)00621-X
Horeweg, 2014, Detection of lung cancer through low-dose CT screening (NELSON): a prespecified analysis of screening test performance and interval cancers, Lancet Oncol, 15, 1342, 10.1016/S1470-2045(14)70387-0
Xu, 2006, Nodule management protocol of the NELSON randomised lung cancer screening trial, Lung Cancer, 54, 177, 10.1016/j.lungcan.2006.08.006
MacMahon, 2017, Guidelines for management of incidental pulmonary nodules detected on CT images: from the Fleischner Society 2017, Radiology, 284, 228, 10.1148/radiol.2017161659
Kazerooni, 2016, ACR CT accreditation program and the lung cancer screening program designation, J Am Coll Radiol, 13, R30, 10.1016/j.jacr.2015.12.010
Beregi, 2019, Low and ultra-low dose radiation in CT: opportunities and limitations, Diagn Interv Imaging, 100, 63, 10.1016/j.diii.2019.01.007
Ludes, 2019, Ultra-low-dose unenhanced chest CT: prospective comparison of high kV/low mA versus low kV/high mA protocols, Diagn Interv Imaging, 100, 85, 10.1016/j.diii.2018.11.012
Jankowski, 2007, Pulmonary nodule detection on MDCT images: evaluation of diagnostic performance using thin axial images, maximum intensity projections, and computer-assisted detection, Eur Radiol, 17, 3148, 10.1007/s00330-007-0727-6
Rubin, 2005, Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection, Radiology, 234, 274, 10.1148/radiol.2341040589
Zhao, 2012, Performance of computer-aided detection of pulmonary nodules in low-dose CT: comparison with double reading by nodule volume, Eur Radiol, 22, 2076, 10.1007/s00330-012-2437-y
Christe, 2013, Lung cancer screening with CT: evaluation of radiologists and different computer-assisted detection software (CAD) as first and second readers for lung nodule detection at different dose levels, Eur J Radiol, 82, e873, 10.1016/j.ejrad.2013.08.026
Godoy, 2013, Benefit of computer-aided detection analysis for the detection of subsolid and solid lung nodules on thin- and thick-section CT, Am J Roentgenol, 200, 74, 10.2214/AJR.11.7532
Murphy, 2018, The utilisation of convolutional neural networks in detecting pulmonary nodules: a review, Br J Radiol, 91, 20180028, 10.1259/bjr.20180028
Oudkerk, 2017, European position statement on lung cancer screening, Lancet Oncol, 18, e754, 10.1016/S1470-2045(17)30861-6
Bankier, 2017, Recommendations for measuring pulmonary nodules at CT: a statement from the Fleischner Society, Radiology, 285, 584, 10.1148/radiol.2017162894
Vlahos, 2018, Lung cancer screening: nodule identification and characterization, Transl Lung Cancer Res, 7, 288, 10.21037/tlcr.2018.05.02
Naidich, 2013, Recommendations for the management of subsolid pulmonary nodules detected at CT: a statement from the Fleischner Society, Radiology, 266, 304, 10.1148/radiol.12120628
Walter, 2016, Occurrence and lung cancer probability of new solid nodules at incidence screening with low-dose CT: analysis of data from the randomised, controlled NELSON trial, Lancet Oncol, 17, 907, 10.1016/S1470-2045(16)30069-9
Walter, 2019, Persisting new nodules in incidence rounds of the NELSON CT lung cancer screening study, Thorax, 74, 247, 10.1136/thoraxjnl-2018-212152
Horeweg, 2014, Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening, Lancet Oncol, 15, 1332, 10.1016/S1470-2045(14)70389-4
Kauczor, 2020, ESR/ERS statement paper on lung cancer screening, Eur Respir J, 55, 1900506, 10.1183/13993003.00506-2019
Tanoue, 2015, Lung cancer screening, Am J Respir Crit Care Med, 191, 19, 10.1164/rccm.201410-1777CI
Godoy, 2009, Subsolid pulmonary nodules and the spectrum of peripheral adenocarcinomas of the lung: recommended interim guidelines for assessment and management, Radiology, 253, 606, 10.1148/radiol.2533090179
Couraud, 2014, Estimating overdiagnosis in lung cancer screening, JAMA Intern Med, 174, 1197, 10.1001/jamainternmed.2014.1532
Black, 2019, Lung cancer incidence and mortality with extended follow-up in the national lung screening trial national lung screening trial writing team, J Thorac Oncol, 14, 1732, 10.1016/j.jtho.2019.05.044
Callister, 2015, British Thoracic Society guidelines for the investigation and management of pulmonary nodules, Thorax, 70, ii1, 10.1136/thoraxjnl-2015-207168
Taghizadeh, 2019, Health-related quality of life and anxiety in the PAN-CAN lung cancer screening cohort, BMJ Open, 9, e024719, 10.1136/bmjopen-2018-024719
Brain, 2016, Long-term psychosocial outcomes of low-dose CT screening: results of the UK Lung Cancer Screening randomised controlled trial, Thorax, 71, 996, 10.1136/thoraxjnl-2016-208283
Freiman, 2016, Patients’ knowledge, beliefs, and distress associated with detection and evaluation of incidental pulmonary nodules for cancer: results from a multicenter survey, J Thorac Oncol, 11, 700, 10.1016/j.jtho.2016.01.018
Rasmussen, 2015, Psychosocial consequences in the Danish randomised controlled lung cancer screening trial (DLCST), Lung Cancer, 87, 65, 10.1016/j.lungcan.2014.11.003
Slatore, 2014, Patient-centered outcomes among lung cancer screening recipients with computed tomography: a systematic review, J Thorac Oncol, 9, 927, 10.1097/JTO.0000000000000210
Gareen, 2014, Impact of lung cancer screening results on participant health-related quality of life and state anxiety in the National Lung Screening Trial, Cancer, 120, 3401, 10.1002/cncr.28833
Kanashiki, 2012, Volume doubling time of lung cancers detected in a chest radiograph mass screening program: comparison with CT screening, Oncol Lett, 4, 513, 10.3892/ol.2012.780
Veronesi, 2012, Estimating overdiagnosis in low-dose computed tomography screening for lung cancer: a cohort study, Ann Intern Med, 157, 776, 10.7326/0003-4819-157-11-201212040-00005
Patz, 2014, Overdiagnosis in low-dose computed tomography screening for lung cancer, JAMA Intern Med, 174, 269, 10.1001/jamainternmed.2013.12738
Heleno, 2018, Estimation of overdiagnosis of lung cancer in low-dose computed tomography screening: a secondary analysis of the Danish Lung Cancer Screening Trial, JAMA Intern Med, 178, 1420, 10.1001/jamainternmed.2018.3056
Infante, 2013, Slow-growing lung cancer as an emerging entity: from screening to clinical management, Eur Respir J, 42, 1706, 10.1183/09031936.00186212
Scholten, 2015, Towards a close computed tomography monitoring approach for screen detected subsolid pulmonary nodules?, Eur Respir J, 45, 765, 10.1183/09031936.00005914
Walter, 2018, New subsolid pulmonary nodules in lung cancer screening: the NELSON Trial, J Thorac Oncol, 13, 1410, 10.1016/j.jtho.2018.05.006
Brenner, 2007, Computed tomography: an increasing source of radiation exposure, N Engl J Med, 357, 2277, 10.1056/NEJMra072149
Mascalchi, 2012, Dose exposure in the ITALUNG trial of lung cancer screening with low-dose CT, Br J Radiol, 85, 1134, 10.1259/bjr/20711289
Brody, 2014, Don’t let radiation scare trump patient care: 10 ways you can harm your patients by fear of radiation-induced cancer from diagnostic imaging, Thorax, 69, 782, 10.1136/thoraxjnl-2014-205499
Rojewski, 2018, Tobacco dependence predicts higher lung cancer and mortality rates and lower rates of smoking cessation in the National Lung Screening Trial, Chest, 154, 110, 10.1016/j.chest.2018.04.016
Tanner, 2016, The association between smoking abstinence and mortality in the National Lung Screening Trial, Am J Respir Crit Care Med, 193, 534, 10.1164/rccm.201507-1420OC
Tammemagi, 2014, Impact of lung cancer screening results on smoking cessation, J Natl Cancer Inst, 106, dju084, 10.1093/jnci/dju084
SFR-IA Group, 2018, Artificial intelligence and medical imaging 2018: French Radiology Community white paper, Diagn Interv Imaging, 99, 727, 10.1016/j.diii.2018.10.003
Waymel, 2019, Impact of the rise of artificial intelligence in radiology: what do radiologists think?, Diagn Interv Imaging, 100, 327, 10.1016/j.diii.2019.03.015