151
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Gilbert CR, Ely R, Fathi JT, Louie BE, Wilshire CL, Modin H, Aye RW, Farivar AS, Vallières E, Gorden JA. The economic impact of a nurse practitioner–directed lung cancer screening, incidental pulmonary nodule, and tobacco-cessation clinic. J Thorac Cardiovasc Surg 2018; 155:416-424. [DOI: 10.1016/j.jtcvs.2017.07.086] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Revised: 07/08/2017] [Accepted: 07/15/2017] [Indexed: 11/16/2022]
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152
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Patients' Attitudes Regarding Lung Cancer Screening and Decision Aids. A Survey and Focus Group Study. Ann Am Thorac Soc 2017; 13:1992-2001. [PMID: 27652509 DOI: 10.1513/annalsats.201604-289oc] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
RATIONALE Little is known about vulnerable patients' perceptions and understanding of, and preferences for, lung cancer screening decision aids. OBJECTIVES To determine, in a low-income, racially diverse population, (1) participants' experience, preferences, and reactions to web-based and paper decision aids, and (2) their understanding of harms and benefits of lung cancer screening. METHODS We enrolled outpatients at an urban county hospital in six focus group discussions that included review of a web-based and a paper-based lung-cancer screening decision aid. Participants completed surveys before and after the focus groups. MEASUREMENTS AND MAIN RESULTS Forty-five patients participated (mean age, 61 yr; 76% current smokers; 24% former smokers); 27% had not completed high school; 50% had an annual income not exceeding $15,000; 42% were nonwhite; and 96% reported chronic illness requiring at least three health care visits yearly. Comparing the proportion with correct answers on pre- and postsurveys, participants' understanding of lung cancer screening increased, particularly of the harms of screening including the potential for false positives, extra testing, and complications. However, after conclusion of the focus groups, more than 50% believed that screening lowered the chance of getting lung cancer. Five major themes emerged from qualitative analyses. Participants (1) were not aware of the purpose of lung cancer screening; (2) wanted to know about the benefits and harms; (3) believed physicians need to communicate more effectively; (4) found decision aids helpful and influential for decision-making about screening; and (5) wanted the discussion to be personalized and tailored. Participants expressed surprise that the magnitude of their lung cancer risk and benefits of screening were lower than anticipated. CONCLUSIONS Vulnerable patients find lung cancer screening decision aids helpful and generally show increased knowledge after reviewing decision aids, particularly of harms. Our results can inform future implementation efforts.
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153
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Primary Care Provider and Patient Perspectives on Lung Cancer Screening. A Qualitative Study. Ann Am Thorac Soc 2017; 13:1977-1982. [PMID: 27676369 DOI: 10.1513/annalsats.201604-286oc] [Citation(s) in RCA: 95] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
RATIONALE The U.S. Preventive Services Task Force recommends annual low-dose computed tomography (LDCT) for lung cancer screening in high-risk individuals. Preventive healthcare is provided predominantly by primary care providers (PCPs). Successful implementation of a screening program requires acceptance and participation by both providers and patients, with available collaboration with pulmonologists. OBJECTIVES To identify perceptions of and perspectives on lung cancer screening and implementation among PCPs and eligible veteran patients at high risk for lung cancer. METHODS We conducted a qualitative study using grounded theory in which 28 veterans and 13 PCPs completed a questionnaire and participated in focus groups. Sessions were recorded, transcribed verbatim, and analyzed with NVivo 10 software. Counts and percentages were used to report questionnaire results. MEASUREMENTS AND MAIN RESULTS While 58% percent of providers were aware of lung cancer screening guidelines, many could not recall the exact patient eligibility criteria. Most patients were willing to undergo LDCT screening and identified smoking as a risk factor for lung cancer, but they did not recall their PCP explaining the reason for the testing. All providers assessed smoking behavior, but only 23% referred active smokers for formal cessation services. Patients volunteered information regarding their hurdles with smoking cessation while discussing risk factors for cancer. PCPs cited time constraints as a reason for lack of appropriate counseling and shared decision making. Both parties were willing to explore modalities and decision aid tools to improve shared decision making; however, while patients were interested in individual risk prediction, few PCPs believed statistical approaches to counseling would confuse patients. CONCLUSIONS While patients and providers are receptive to LDCT screening, efforts are needed to improve guideline knowledge and adherence among providers. System-level interventions are necessary to facilitate time and resources for shared decision making and smoking cessation counseling and treatment. Further research is needed to identify optimal strategies for effective lung cancer screening in the community.
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154
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Abstract
RATIONALE Millions of patients are diagnosed with pulmonary nodules every year. Increased distress may be a common harm, but methods of mitigating this distress are unclear. OBJECTIVES We aimed to determine whether high-quality communication regarding the discovery of a pulmonary nodule is associated with a lower level of patient distress. METHODS We conducted a prospective, repeated-measures cohort study of 121 patients with newly reported, incidentally detected pulmonary nodules. The primary exposure was participant-reported quality of communication regarding the nodule. Secondary exposures included communication measures regarding participants' values, preferences, and decision making. The main outcome was nodule-related distress measured using the Impact of Event Scale. We used adjusted generalized estimating equations to measure the association between nodule communication quality and at least mild distress. MEASUREMENTS AND MAIN RESULTS Most participants (57%) reported at least mild distress at least once. While average distress scores decreased over time, one-fourth still had elevated distress after 2 years of surveillance for a nodule. The average calculated risk of cancer at baseline was 10% (SD, 13%), but 52.4% believed they had a greater than 30% risk of lung cancer at baseline, and this percentage remained fairly constant at all visits. High-quality nodule communication was associated with decreased odds of distress (adjusted odds ratio, 0.42; 95% confidence interval, 0.24-0.73). Lower-quality communication processes regarding participants' values and preferences were also associated with increased odds of distress, but concordance between the actual and preferred decision-making roles was not. CONCLUSIONS Among patients with incidentally discovered pulmonary nodules, distress is common and persistent for about 25%. Many participants substantially overestimate their risk of lung cancer. Incorporating patients' values and preferences into communication about a pulmonary nodule and its evaluation may mitigate distress.
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155
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Affiliation(s)
- Avrum Spira
- 1 Division of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts
| | - Balazs Halmos
- 2 Department of Oncology, Albert Einstein College of Medicine, Bronx, New York; and
| | - Charles A Powell
- 3 Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
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156
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McDonald MLN, Diaz AA, Rutten E, Lutz SM, Harmouche R, San Jose Estepar R, Kinney G, Hokanson JE, Gower BA, Wouters EFM, Rennard SI, Hersh CP, Casaburi R, Dransfield MT, Silverman EK, Washko GR. Chest computed tomography-derived low fat-free mass index and mortality in COPD. Eur Respir J 2017; 50:50/6/1701134. [PMID: 29242259 DOI: 10.1183/13993003.01134-2017] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Accepted: 09/03/2017] [Indexed: 01/06/2023]
Abstract
Low fat-free mass index (FFMI) is an independent risk factor for mortality in chronic obstructive pulmonary disease (COPD) not typically measured during routine care. In the present study, we aimed to derive fat-free mass from the pectoralis muscle area (FFMPMA) and assess whether low FFMIPMA is associated with all-cause mortality in COPD cases. We used data from two independent COPD cohorts, ECLIPSE and COPDGene.Two equal sized groups of COPD cases (n=759) from the ECLIPSE study were used to derive and validate an equation to calculate the FFMPMA measured using bioelectrical impedance from PMA. We then applied the equation in COPD cases (n=3121) from the COPDGene cohort, and assessed survival. Low FFMIPMA was defined, using the Schols classification (FFMI <16 in men, FFMI <15 in women) and the fifth percentile normative values of FFMI from the UK Biobank.The final regression model included PMA, weight, sex and height, and had an adjusted R2 of 0.92 with fat-free mass (FFM) as the outcome. In the test group, the correlation between FFMPMA and FFM remained high (Pearson correlation=0.97). In COPDGene, COPD cases with a low FFMIPMA had an increased risk of death (HR 1.6, p<0.001).We demonstrated COPD cases with a low FFMIPMA have an increased risk of death.
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Affiliation(s)
- Merry-Lynn N McDonald
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL, USA .,Dept of Genetics, University of Alabama at Birmingham, Birmingham, AL, USA.,Both authors contributed equally
| | - Alejandro A Diaz
- Division of Pulmonary and Critical Care Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.,Both authors contributed equally
| | - Erica Rutten
- Centre of Expertise for Chronic Organ Failure, Horn, The Netherlands
| | - Sharon M Lutz
- Dept of Biostatistics, University of Colorado at Denver, Denver, CO, USA
| | - Rola Harmouche
- Division of Pulmonary and Critical Care Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Raul San Jose Estepar
- Dept of Radiology, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Greg Kinney
- Dept of Epidemiology, University of Colorado, Denver, Aurora, CO, USA
| | - John E Hokanson
- Dept of Epidemiology, University of Colorado, Denver, Aurora, CO, USA
| | - Barbara A Gower
- Division of Physiology and Metabolism, Dept of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Emiel F M Wouters
- Centre of Expertise for Chronic Organ Failure, Horn, The Netherlands
| | | | - Craig P Hersh
- Division of Pulmonary and Critical Care Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.,Channing Division of Network Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Richard Casaburi
- Rehabilitation Clinical Trials Center, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Mark T Dransfield
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Edwin K Silverman
- Division of Pulmonary and Critical Care Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.,Channing Division of Network Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
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157
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Patient and Clinician Characteristics Associated with Adherence. A Cohort Study of Veterans with Incidental Pulmonary Nodules. Ann Am Thorac Soc 2017; 13:651-9. [PMID: 27144794 DOI: 10.1513/annalsats.201511-745oc] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
RATIONALE Many patients are diagnosed with small pulmonary nodules for which professional societies recommend subsequent imaging surveillance. Adherence to these guidelines involves many steps from both clinicians and patients but has not been well studied. OBJECTIVES In a health care setting with a nodule tracking system, we evaluated the association of communication processes and distress with patient and clinician adherence to recommended follow up and Fleischner Society guidelines, respectively. METHODS We conducted a prospective, longitudinally assessed, cohort study of patients with incidentally detected nodules who received care at one Veterans Affairs Medical Center. We measured patient-centered communication with the Consultation Care Measure and distress with the Impact of Event Scale. We abstracted data regarding participant adherence to clinician recommendations (defined as receiving the follow-up scan within 30 d of the recommended date) and clinician adherence to Fleischner guidelines (defined as planning the follow-up scan within 30 d of the recommended interval) from the electronic medical record. We measured associations of communication and distress with adherence using multivariable-adjusted generalized estimating equations. MEASUREMENTS AND MAIN RESULTS Among 138 veterans, 39% were nonadherent at least once during follow up. Clinicians were nonadherent to Fleischner guidelines for 27% of follow-up scans. High-quality communication (adjusted odds ratio, 3.65; P = 0.02) and distress (adjusted odds ratio, 0.38; P = 0.02) were associated with increased and decreased participant adherence, respectively. Neither was associated with clinician adherence. CONCLUSIONS Patients and clinicians often do not adhere to nodule follow-up recommendations. Interventions designed to improve communication quality and decrease distress may also improve patient adherence to nodule follow-up recommendations.
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158
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Turner SR, Isbell JM. Lung Cancer Screening in the Post-National Lung Screening Trial Era: Applying Screening in the Real World. Semin Thorac Cardiovasc Surg 2017; 29:S1043-0679(17)30298-8. [PMID: 29191619 PMCID: PMC5971130 DOI: 10.1053/j.semtcvs.2017.11.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/21/2017] [Indexed: 12/17/2022]
Abstract
The National Lung Screening Trial established a survival benefit for lung cancer screening using low-dose computed tomography. In the wake of this trial several international bodies now recommend lung cancer screening. However, three main questions remain unanswered: Who is the optimal population for screening? How often should they be screened? For how long should screening be continued? We examine the results of the available randomized trials to address these questions.
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Affiliation(s)
- Simon R Turner
- Division of Thoracic Surgery, University of Alberta, Edmonton, Alberta, Canada
| | - James M Isbell
- Thoracic Surgery Service, Memorial Sloan Kettering Cancer Center, New York, New York.
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159
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Kathuria H, Detterbeck FC, Fathi JT, Fennig K, Gould MK, Jolicoeur DG, Land SR, Massetti GM, Mazzone PJ, Silvestri GA, Slatore CG, Smith RA, Vachani A, Zeliadt SB, Wiener RS. Stakeholder Research Priorities for Smoking Cessation Interventions within Lung Cancer Screening Programs. An Official American Thoracic Society Research Statement. Am J Respir Crit Care Med 2017; 196:1202-1212. [PMID: 29090963 DOI: 10.1164/rccm.201709-1858st] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
RATIONALE Smoking cessation counseling in conjunction with low-dose computed tomography (LDCT) lung cancer screening is recommended in multiple clinical practice guidelines. The best approach for integrating effective smoking cessation interventions within this setting is unknown. OBJECTIVES To summarize evidence, identify research gaps, prioritize topics for future research, and propose standardized tools for use in conducting research on smoking cessation interventions within the LDCT lung cancer screening setting. METHODS The American Thoracic Society convened a multistakeholder committee with expertise in tobacco dependence treatment and/or LDCT screening. During an in-person meeting, evidence was reviewed, research gaps were identified, and key questions were generated for each of three research domains: (1) target population to study; (2) adaptation, development, and testing of interventions; and (3) implementation of interventions with demonstrated efficacy. We also identified standardized measures for use in conducting this research. A larger stakeholder panel then ranked research questions by perceived importance in an online survey. Final prioritization was generated hierarchically on the basis of average rank assigned. RESULTS There was little consensus on which questions within the population domain were of highest priority. Within the intervention domain, research to evaluate the effectiveness in the lung cancer screening setting of evidence-based smoking cessation interventions shown to be effective in other contexts was ranked highest. In the implementation domain, stakeholders prioritized understanding strategies to identify and overcome barriers to integrating smoking cessation in lung cancer screening settings. CONCLUSIONS This statement offers an agenda to stimulate research surrounding the integration and implementation of smoking cessation interventions with LDCT lung cancer screening.
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160
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Arenberg D. "Quick, Where Is My Cigarette?": Mining Tobacco History for More Information on Risk. J Thorac Oncol 2017; 12:1606-1607. [PMID: 29074206 DOI: 10.1016/j.jtho.2017.09.090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2017] [Accepted: 09/07/2017] [Indexed: 11/25/2022]
Affiliation(s)
- Douglas Arenberg
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan.
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161
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Fintelmann FJ, Gottumukkala RV, McDermott S, Gilman MD, Lennes IT, Shepard JAO. Lung Cancer Screening. Radiol Clin North Am 2017; 55:1163-1181. [DOI: 10.1016/j.rcl.2017.06.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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162
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Readiness for Implementation of Lung Cancer Screening. A National Survey of Veterans Affairs Pulmonologists. Ann Am Thorac Soc 2017; 13:1794-1801. [PMID: 27409524 DOI: 10.1513/annalsats.201604-294oc] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
RATIONALE To mitigate the potential harms of screening, professional societies recommend that lung cancer screening be conducted in multidisciplinary programs with the capacity to provide comprehensive care, from screening through pulmonary nodule evaluation to treatment of screen-detected cancers. The degree to which this standard can be met at the national level is unknown. OBJECTIVES To assess the readiness of clinical facilities in a national healthcare system for implementation of comprehensive lung cancer screening programs, as compared with the ideal described in policy recommendations. METHODS This was a cross-sectional, self-administered survey of staff pulmonologists in pulmonary outpatient clinics in Veterans Health Administration facilities. MEASUREMENTS AND MAIN RESULTS The facility-level response rate was 84.1% (106 of 126 facilities with pulmonary clinics); 88.7% of facilities showed favorable provider perceptions of the evidence for lung cancer screening, and 73.6% of facilities had a favorable provider-perceived local context for screening implementation. All elements of the policy-recommended infrastructure for comprehensive screening programs were present in 36 of 106 facilities (34.0%); the most common deficiencies were the lack of on-site positron emission tomography scanners or radiation oncology services. Overall, 26.5% of Veterans Health Administration facilities were ideally prepared for lung cancer screening implementation (44.1% if the policy recommendations for on-site positron emission tomography scanners and radiation oncology services were waived). CONCLUSIONS Many facilities may be less than ideally positioned for the implementation of comprehensive lung cancer screening programs. To ensure safe, effective screening, hospitals may need to invest resources or coordinate care with facilities that can offer comprehensive care for screening through downstream evaluation and treatment of screen-detected cancers.
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163
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Rationale and Design of the Lung Cancer Screening Implementation. Evaluation of Patient-Centered Care Study. Ann Am Thorac Soc 2017. [DOI: 10.1513/annalsats.201705-378sd] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
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164
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Ruparel M, Navani N. Young at Heart: Is That Good Enough for Computed Tomography Screening? Am J Respir Crit Care Med 2017; 196:539-541. [PMID: 28806529 DOI: 10.1164/rccm.201707-1504ed] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Affiliation(s)
- Mamta Ruparel
- 1 Lungs for Living Research Centre University College London London, United Kingdom and
| | - Neal Navani
- 2 University College London Hospital London, United Kingdom
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165
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Pack-Year Cigarette Smoking History for Determination of Lung Cancer Screening Eligibility. Comparison of the Electronic Medical Record versus a Shared Decision-making Conversation. Ann Am Thorac Soc 2017; 14:1320-1325. [DOI: 10.1513/annalsats.201612-984oc] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
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166
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Postmus PE, Kerr KM, Oudkerk M, Senan S, Waller DA, Vansteenkiste J, Escriu C, Peters S. Early and locally advanced non-small-cell lung cancer (NSCLC): ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol 2017; 28:iv1-iv21. [PMID: 28881918 DOI: 10.1093/annonc/mdx222] [Citation(s) in RCA: 1313] [Impact Index Per Article: 164.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/08/2023] Open
Affiliation(s)
- P E Postmus
- The Clatterbridge Cancer Centre and Liverpool Heart and Chest Hospital, Liverpool
| | - K M Kerr
- University of Aberdeen, Aberdeen, UK
| | - M Oudkerk
- Center for Medical Imaging, University of Groningen, Groningen
| | - S Senan
- Department of Radiation Oncology, VU University Medical Center, Amsterdam, The Netherlands
| | - D A Waller
- Department of Thoracic Surgery, University Hospitals of Leicester NHS Trust, Leicester, UK
| | | | - C Escriu
- The Clatterbridge Cancer Centre and Liverpool Heart and Chest Hospital, Liverpool
| | - S Peters
- Oncology Department, Service d'Oncologie Médicale, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
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167
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Abstract
Lung cancer is the leading cause of cancer death in the United States. More than 80% of these deaths are attributed to tobacco use, and primary prevention can effectively reduce the cancer burden. The National Lung Screening Trial showed that low-dose computed tomography (LDCT) screening could reduce lung cancer mortality in high-risk patients by 20% compared with chest radiography. The US Preventive Services Task Force recommends annual LDCT screening for persons aged 55 to 80 years with a 30-pack-year smoking history, either currently smoking or having quit within 15 years.
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Affiliation(s)
- Richard M Hoffman
- Department of Medicine, University of Iowa Carver College of Medicine, 200 Hawkins Drive SE 618 GH, Iowa City, IA 52242, USA.
| | - Rolando Sanchez
- Department of Medicine, University of Iowa Carver College of Medicine, 200 Hawkins Drive C325 GH, Iowa City, IA 52242, USA
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168
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Shieh Y, Bohnenkamp M. Low-Dose CT Scan for Lung Cancer Screening. Chest 2017; 152:204-209. [DOI: 10.1016/j.chest.2017.03.019] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 03/10/2017] [Accepted: 03/13/2017] [Indexed: 12/17/2022] Open
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169
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Perez-Rogers JF, Gerrein J, Anderlind C, Liu G, Zhang S, Alekseyev Y, Smith KP, Whitney D, Evan Johnson W, Elashoff DA, Dubinett SM, Brody J, Spira A, Lenburg ME. Shared Gene Expression Alterations in Nasal and Bronchial Epithelium for Lung Cancer Detection. J Natl Cancer Inst 2017; 109:3053477. [PMID: 28376173 PMCID: PMC6059169 DOI: 10.1093/jnci/djw327] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2016] [Revised: 10/30/2016] [Accepted: 11/21/2016] [Indexed: 12/25/2022] Open
Abstract
Background We previously derived and validated a bronchial epithelial gene expression biomarker to detect lung cancer in current and former smokers. Given that bronchial and nasal epithelial gene expression are similarly altered by cigarette smoke exposure, we sought to determine if cancer-associated gene expression might also be detectable in the more readily accessible nasal epithelium. Methods Nasal epithelial brushings were prospectively collected from current and former smokers undergoing diagnostic evaluation for pulmonary lesions suspicious for lung cancer in the AEGIS-1 (n = 375) and AEGIS-2 (n = 130) clinical trials and gene expression profiled using microarrays. All statistical tests were two-sided. Results We identified 535 genes that were differentially expressed in the nasal epithelium of AEGIS-1 patients diagnosed with lung cancer vs those with benign disease after one year of follow-up ( P < .001). Using bronchial gene expression data from the AEGIS-1 patients, we found statistically significant concordant cancer-associated gene expression alterations between the two airway sites ( P < .001). Differentially expressed genes in the nose were enriched for genes associated with the regulation of apoptosis and immune system signaling. A nasal lung cancer classifier derived in the AEGIS-1 cohort that combined clinical factors (age, smoking status, time since quit, mass size) and nasal gene expression (30 genes) had statistically significantly higher area under the curve (0.81; 95% confidence interval [CI] = 0.74 to 0.89, P = .01) and sensitivity (0.91; 95% CI = 0.81 to 0.97, P = .03) than a clinical-factor only model in independent samples from the AEGIS-2 cohort. Conclusions These results support that the airway epithelial field of lung cancer-associated injury in ever smokers extends to the nose and demonstrates the potential of using nasal gene expression as a noninvasive biomarker for lung cancer detection.
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Affiliation(s)
- Joseph F. Perez-Rogers
- Affiliations of authors: Bioinformatics Graduate Program, Boston University, Boston, MA (JFPR, JG); Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA (JFPR, JG, CA, GL, SZ, WEJ, JB, AS, MEL); Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA (YA); Veracyte, Inc., San Francisco, CA (KP, DW); Department of Biostatistics, University of California, Los Angeles, CA (DAE); Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA (SMD)
| | - Joseph Gerrein
- Affiliations of authors: Bioinformatics Graduate Program, Boston University, Boston, MA (JFPR, JG); Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA (JFPR, JG, CA, GL, SZ, WEJ, JB, AS, MEL); Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA (YA); Veracyte, Inc., San Francisco, CA (KP, DW); Department of Biostatistics, University of California, Los Angeles, CA (DAE); Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA (SMD)
| | - Christina Anderlind
- Affiliations of authors: Bioinformatics Graduate Program, Boston University, Boston, MA (JFPR, JG); Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA (JFPR, JG, CA, GL, SZ, WEJ, JB, AS, MEL); Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA (YA); Veracyte, Inc., San Francisco, CA (KP, DW); Department of Biostatistics, University of California, Los Angeles, CA (DAE); Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA (SMD)
| | - Gang Liu
- Affiliations of authors: Bioinformatics Graduate Program, Boston University, Boston, MA (JFPR, JG); Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA (JFPR, JG, CA, GL, SZ, WEJ, JB, AS, MEL); Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA (YA); Veracyte, Inc., San Francisco, CA (KP, DW); Department of Biostatistics, University of California, Los Angeles, CA (DAE); Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA (SMD)
| | - Sherry Zhang
- Affiliations of authors: Bioinformatics Graduate Program, Boston University, Boston, MA (JFPR, JG); Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA (JFPR, JG, CA, GL, SZ, WEJ, JB, AS, MEL); Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA (YA); Veracyte, Inc., San Francisco, CA (KP, DW); Department of Biostatistics, University of California, Los Angeles, CA (DAE); Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA (SMD)
| | - Yuriy Alekseyev
- Affiliations of authors: Bioinformatics Graduate Program, Boston University, Boston, MA (JFPR, JG); Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA (JFPR, JG, CA, GL, SZ, WEJ, JB, AS, MEL); Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA (YA); Veracyte, Inc., San Francisco, CA (KP, DW); Department of Biostatistics, University of California, Los Angeles, CA (DAE); Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA (SMD)
| | - Kate Porta Smith
- Affiliations of authors: Bioinformatics Graduate Program, Boston University, Boston, MA (JFPR, JG); Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA (JFPR, JG, CA, GL, SZ, WEJ, JB, AS, MEL); Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA (YA); Veracyte, Inc., San Francisco, CA (KP, DW); Department of Biostatistics, University of California, Los Angeles, CA (DAE); Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA (SMD)
| | - Duncan Whitney
- Affiliations of authors: Bioinformatics Graduate Program, Boston University, Boston, MA (JFPR, JG); Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA (JFPR, JG, CA, GL, SZ, WEJ, JB, AS, MEL); Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA (YA); Veracyte, Inc., San Francisco, CA (KP, DW); Department of Biostatistics, University of California, Los Angeles, CA (DAE); Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA (SMD)
| | - W. Evan Johnson
- Affiliations of authors: Bioinformatics Graduate Program, Boston University, Boston, MA (JFPR, JG); Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA (JFPR, JG, CA, GL, SZ, WEJ, JB, AS, MEL); Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA (YA); Veracyte, Inc., San Francisco, CA (KP, DW); Department of Biostatistics, University of California, Los Angeles, CA (DAE); Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA (SMD)
| | - David A. Elashoff
- Affiliations of authors: Bioinformatics Graduate Program, Boston University, Boston, MA (JFPR, JG); Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA (JFPR, JG, CA, GL, SZ, WEJ, JB, AS, MEL); Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA (YA); Veracyte, Inc., San Francisco, CA (KP, DW); Department of Biostatistics, University of California, Los Angeles, CA (DAE); Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA (SMD)
| | - Steven M. Dubinett
- Affiliations of authors: Bioinformatics Graduate Program, Boston University, Boston, MA (JFPR, JG); Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA (JFPR, JG, CA, GL, SZ, WEJ, JB, AS, MEL); Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA (YA); Veracyte, Inc., San Francisco, CA (KP, DW); Department of Biostatistics, University of California, Los Angeles, CA (DAE); Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA (SMD)
| | - Jerome Brody
- Affiliations of authors: Bioinformatics Graduate Program, Boston University, Boston, MA (JFPR, JG); Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA (JFPR, JG, CA, GL, SZ, WEJ, JB, AS, MEL); Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA (YA); Veracyte, Inc., San Francisco, CA (KP, DW); Department of Biostatistics, University of California, Los Angeles, CA (DAE); Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA (SMD)
| | - Avrum Spira
- Affiliations of authors: Bioinformatics Graduate Program, Boston University, Boston, MA (JFPR, JG); Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA (JFPR, JG, CA, GL, SZ, WEJ, JB, AS, MEL); Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA (YA); Veracyte, Inc., San Francisco, CA (KP, DW); Department of Biostatistics, University of California, Los Angeles, CA (DAE); Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA (SMD)
| | - Marc E. Lenburg
- Affiliations of authors: Bioinformatics Graduate Program, Boston University, Boston, MA (JFPR, JG); Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA (JFPR, JG, CA, GL, SZ, WEJ, JB, AS, MEL); Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA (YA); Veracyte, Inc., San Francisco, CA (KP, DW); Department of Biostatistics, University of California, Los Angeles, CA (DAE); Division of Pulmonary and Critical Care Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA (SMD)
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Geographical Variation and Factors Associated with Non-Small Cell Lung Cancer in Manitoba. Can Respir J 2017; 2017:7915905. [PMID: 28717343 PMCID: PMC5499243 DOI: 10.1155/2017/7915905] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2016] [Accepted: 05/22/2017] [Indexed: 11/17/2022] Open
Abstract
Background Screening decreases non-small cell lung cancer (NSCLC) deaths and is recommended by the Canadian Task Force on Preventive Health Care. We investigated risk factor prevalence and NSCLC incidence at a small region level to inform resource allocation for lung cancer screening. Methods NSCLC diagnoses were obtained from the Canadian Cancer Registry, then geocoded to 283 small geographic areas (SGAs) in Manitoba. Sociodemographic characteristics of SGAs were obtained from the 2006 Canadian Census and Canadian Community Health Survey. Geographical variation was modelled using a Bayesian spatial Poisson model. Results NSCLC incidence in SGAs ranged from 1 to 343 cases per 100,000 population per year. The highest incidence rates were in the Southeastern, Southwestern, and Central regions of Manitoba, while most of Northern Manitoba had lower rates. Poisson regression suggested areas with higher proportions of Aboriginal people and higher average income, and immigrants had lower NSCLC incidence whereas areas with higher proportions of smokers had higher incidence. Conclusion On an SGA level, smoking rates remain the most significant factor driving NSCLC incidence. Socioeconomic status and proportions of immigrants or Aboriginal peoples independently impact NSCLC rates. We have identified SGAs in Manitoba to target in policy and infrastructure planning for lung cancer screening.
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171
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An Enhanced Shared Decision Making Model to Address Willingness and Ability to Undergo Lung Cancer Screening and Follow-Up Treatment in Minority Underserved Populations. J Community Health 2017; 43:27-32. [DOI: 10.1007/s10900-017-0383-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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Abstract
Since the release of the US Preventive Services Task Force and Centers for Medicare and Medicaid Services recommendations for lung cancer screening, low-dose chest computed tomography screening has moved from the research arena to clinical practice. Lung cancer screening programs must reach beyond image acquisition and interpretation and engage in a multidisciplinary effort of clinical shared decision-making, standardization of imaging and nodule management, smoking cessation, and patient follow-up. Standardization of radiologic reports and nodule management will systematize patient care, provide quality assurance, further reduce harm, and contain health care costs. Although the National Lung Screening Trial results and eligibility criteria of a heavy smoking history are the foundation for the standard guidelines for low-dose chest computed tomography screening in the United States, currently only 27% of patients diagnosed with lung cancer would meet US lung cancer screening recommendations. Current and future efforts must be directed to better delineate those patients who would most benefit from screening and to ensure that the benefits of screening reach all socioeconomic strata and racial and ethnic minorities. Further optimization of lung cancer screening program design and patient eligibility will assure that lung cancer screening benefits will outweigh the potential risks to our patients.
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173
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Yuan DM, Zhang JY, Yao YW, Sun HM, Wu GN, Cao EH, Bertolaccini L, Lv TF, Song Y. The pulmonary nodule "discovered" by pneumonia: a case report. Transl Lung Cancer Res 2017; 6:92-96. [PMID: 28331829 DOI: 10.21037/tlcr.2017.02.01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The number of patients diagnosed with pulmonary nodules increased as more patients with high risk of lung cancer choose low-dose computed tomography (CT) scans for the screening of cancer. Clinicians might get two questions from the patients: what is the definite diagnosis of the nodule? What should we do? We have already got many guidelines trying to solve these problems. There are also several prediction models for pulmonary nodules. However, guidelines are not suitable for all types of patients, and the reality of patients is more complicated. Here we reported a 58-year-old man with a lung nodule in the right upper lobe, which was occasionally found during a period of pneumonia. We suggested two periods of follow-up, and the patient was also admitted to a clinical trial about circulating tumor cells (CTCs). He finally accepted surgical excision with a pathologic diagnosis of adenocarcinoma. This case suggests that: we might suggest CT surveillance for patients with solid nodules about 8 mm maximum diameter; three-dimensional reconstruction of CT scans could provide more information about the details of nodules; CTCs counts of peripheral blood could be considered as a potential clue for malignancy.
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Affiliation(s)
- Dong-Mei Yuan
- Department of Respiratory Medicine, Jinling Hospital, Nanjing 210002, China;; Research Institute of Respiratory Disease, Nanjing University, Nanjing 210002, China
| | - Jian-Ya Zhang
- Department of Respiratory Medicine, Jinling Hospital, Nanjing 210002, China;; Research Institute of Respiratory Disease, Nanjing University, Nanjing 210002, China
| | - Yan-Wen Yao
- Department of Respiratory Medicine, Jinling Hospital, Nanjing 210002, China;; Research Institute of Respiratory Disease, Nanjing University, Nanjing 210002, China
| | - Hui-Ming Sun
- Department of Respiratory Medicine, Jinling Hospital, Nanjing 210002, China;; Research Institute of Respiratory Disease, Nanjing University, Nanjing 210002, China
| | - Guan-Nan Wu
- Department of Respiratory Medicine, Jinling Hospital, Nanjing 210002, China;; Research Institute of Respiratory Disease, Nanjing University, Nanjing 210002, China
| | - E-Hong Cao
- Department of Respiratory Medicine, Jinling Hospital, Nanjing 210002, China;; Research Institute of Respiratory Disease, Nanjing University, Nanjing 210002, China
| | - Luca Bertolaccini
- Thoracic Surgery - AUSL Romagna, Santa Maria delle Croci Teaching Hospital, Viale Vincenzo Randi 5 - 48121 Ravenna, Italy
| | - Tang-Feng Lv
- Department of Respiratory Medicine, Jinling Hospital, Nanjing 210002, China;; Research Institute of Respiratory Disease, Nanjing University, Nanjing 210002, China
| | - Yong Song
- Department of Respiratory Medicine, Jinling Hospital, Nanjing 210002, China;; Research Institute of Respiratory Disease, Nanjing University, Nanjing 210002, China
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Hmmier A, O'Brien ME, Lynch V, Clynes M, Morgan R, Dowling P. Proteomic analysis of bronchoalveolar lavage fluid (BALF) from lung cancer patients using label-free mass spectrometry. BBA CLINICAL 2017; 7:97-104. [PMID: 28331811 PMCID: PMC5357681 DOI: 10.1016/j.bbacli.2017.03.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Revised: 02/08/2017] [Accepted: 03/01/2017] [Indexed: 02/07/2023]
Abstract
BACKGROUND Lung cancer is the leading cause of cancer-related mortality in both men and women throughout the world. The need to detect lung cancer at an early, potentially curable stage, is essential and may reduce mortality by 20%. The aim of this study was to identify distinct proteomic profiles in bronchoalveolar fluid (BALF) and plasma that are able to discriminate individuals with benign disease from those with non-small cell lung cancer (NSCLC). METHODS Using label-free mass spectrometry analysis of BALF during discovery-phase analysis, a significant number of proteins were found to have different abundance levels when comparing control to adenocarcinoma (AD) or squamous cell lung carcinoma (SqCC). Validation of candidate biomarkers identified in BALF was performed in a larger cohort of plasma samples by detection with enzyme-linked immunoassay. RESULTS Four proteins (Cystatin-C, TIMP-1, Lipocalin-2 and HSP70/HSPA1A) were selected as a representative group from discovery phase mass spectrometry BALF analysis. Plasma levels of TIMP-1, Lipocalin-2 and Cystatin-C were found to be significantly elevated in AD and SqCC compared to control. CONCLUSION The results presented in this study indicate that BALF is an important proximal biofluid for the discovery and identification of candidate lung cancer biomarkers. GENERAL SIGNIFICANCE There is good correlation between the trend of protein abundance levels in BALF and that of plasma which validates this approach to develop a blood biomarker to aid lung cancer diagnosis, particularly in the era of lung cancer screening. The protein signatures identified also provide insight into the molecular mechanisms associated with lung malignancy.
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Affiliation(s)
- Abduladim Hmmier
- Department of Biology, Maynooth University, Maynooth, Co. Kildare, Ireland; BioNano Integration Research Group, Biotechnology Research Centre, Tripoli, Libya
| | | | - Vincent Lynch
- National Institute for Cellular Biotechnology, Dublin City University, Glasnevin, Dublin 9, Ireland
| | - Martin Clynes
- National Institute for Cellular Biotechnology, Dublin City University, Glasnevin, Dublin 9, Ireland
| | - Ross Morgan
- Department of Respiratory Medicine, Beaumont Hospital, Dublin 9, Ireland
| | - Paul Dowling
- Department of Biology, Maynooth University, Maynooth, Co. Kildare, Ireland
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175
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Kinsinger LS, Anderson C, Kim J, Larson M, Chan SH, King HA, Rice KL, Slatore CG, Tanner NT, Pittman K, Monte RJ, McNeil RB, Grubber JM, Kelley MJ, Provenzale D, Datta SK, Sperber NS, Barnes LK, Abbott DH, Sims KJ, Whitley RL, Wu RR, Jackson GL. Implementation of Lung Cancer Screening in the Veterans Health Administration. JAMA Intern Med 2017; 177:399-406. [PMID: 28135352 DOI: 10.1001/jamainternmed.2016.9022] [Citation(s) in RCA: 259] [Impact Index Per Article: 32.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
IMPORTANCE The US Preventive Services Task Force recommends annual lung cancer screening (LCS) with low-dose computed tomography for current and former heavy smokers aged 55 to 80 years. There is little published experience regarding implementing this recommendation in clinical practice. OBJECTIVES To describe organizational- and patient-level experiences with implementing an LCS program in selected Veterans Health Administration (VHA) hospitals and to estimate the number of VHA patients who may be candidates for LCS. DESIGN, SETTING, AND PARTICIPANTS This clinical demonstration project was conducted at 8 academic VHA hospitals among 93 033 primary care patients who were assessed on screening criteria; 2106 patients underwent LCS between July 1, 2013, and June 30, 2015. INTERVENTIONS Implementation Guide and support, full-time LCS coordinators, electronic tools, tracking database, patient education materials, and radiologic and nodule follow-up guidelines. MAIN OUTCOMES AND MEASURES Description of implementation processes; percentages of patients who agreed to undergo LCS, had positive findings on results of low-dose computed tomographic scans (nodules to be tracked or suspicious findings), were found to have lung cancer, or had incidental findings; and estimated number of VHA patients who met the criteria for LCS. RESULTS Of the 4246 patients who met the criteria for LCS, 2452 (57.7%) agreed to undergo screening and 2106 (2028 men and 78 women; mean [SD] age, 64.9 [5.1] years) underwent LCS. Wide variation in processes and patient experiences occurred among the 8 sites. Of the 2106 patients screened, 1257 (59.7%) had nodules; 1184 of these patients (56.2%) required tracking, 42 (2.0%) required further evaluation but the findings were not cancer, and 31 (1.5%) had lung cancer. A variety of incidental findings, such as emphysema, other pulmonary abnormalities, and coronary artery calcification, were noted on the scans of 857 patients (40.7%). CONCLUSIONS AND RELEVANCE It is estimated that nearly 900 000 of a population of 6.7 million VHA patients met the criteria for LCS. Implementation of LCS in the VHA will likely lead to large numbers of patients eligible for LCS and will require substantial clinical effort for both patients and staff.
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Affiliation(s)
- Linda S Kinsinger
- Veterans Health Administration National Center for Health Promotion and Disease Prevention, Durham, North Carolina
| | - Charles Anderson
- Veterans Health Administration National Radiology Program Office, Durham, North Carolina
| | - Jane Kim
- Veterans Health Administration National Center for Health Promotion and Disease Prevention, Durham, North Carolina
| | - Martha Larson
- Veterans Health Administration National Center for Health Promotion and Disease Prevention, Durham, North Carolina
| | - Stephanie H Chan
- Veterans Health Administration National Center for Health Promotion and Disease Prevention, Durham, North Carolina
| | - Heather A King
- Durham Veterans Affairs Health Services Research and Development Center of Innovation, Durham, North Carolina.,Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Kathryn L Rice
- Department of Medicine, Minneapolis Veterans Affairs Healthcare System, Minneapolis, Minnesota
| | - Christopher G Slatore
- Department of Medicine, Veterans Affairs Portland Health Care System, Portland, Oregon
| | - Nichole T Tanner
- Department of Medicine, Ralph H. Johnson Veterans Affairs Medical Center, Charleston, South Carolina
| | - Kathleen Pittman
- Veterans Health Administration National Center for Health Promotion and Disease Prevention, Durham, North Carolina
| | - Robert J Monte
- Pittsburgh Veterans Engineering Resource Center, Pittsburgh, Pennsylvania
| | - Rebecca B McNeil
- Durham Veterans Affairs Health Services Research and Development Center of Innovation, Durham, North Carolina.,Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Janet M Grubber
- Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Michael J Kelley
- Department of Medicine, Duke University Medical Center, Durham, North Carolina.,Veterans Health Administration National Oncology Program, Durham, North Carolina
| | - Dawn Provenzale
- Durham Veterans Affairs Health Services Research and Development Center of Innovation, Durham, North Carolina.,Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Santanu K Datta
- Durham Veterans Affairs Health Services Research and Development Center of Innovation, Durham, North Carolina.,Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Nina S Sperber
- Durham Veterans Affairs Health Services Research and Development Center of Innovation, Durham, North Carolina.,Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Lottie K Barnes
- Durham Veterans Affairs Health Services Research and Development Center of Innovation, Durham, North Carolina
| | - David H Abbott
- Durham Veterans Affairs Health Services Research and Development Center of Innovation, Durham, North Carolina
| | - Kellie J Sims
- Durham Veterans Affairs Health Services Research and Development Center of Innovation, Durham, North Carolina
| | - Richard L Whitley
- Durham Veterans Affairs Health Services Research and Development Center of Innovation, Durham, North Carolina
| | - R Ryanne Wu
- Durham Veterans Affairs Health Services Research and Development Center of Innovation, Durham, North Carolina.,Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - George L Jackson
- Durham Veterans Affairs Health Services Research and Development Center of Innovation, Durham, North Carolina.,Department of Medicine, Duke University Medical Center, Durham, North Carolina
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177
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Mehta HJ, Mohammed TL, Jantz MA. The American College of Radiology Lung Imaging Reporting and Data System. Chest 2017; 151:539-543. [DOI: 10.1016/j.chest.2016.07.028] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Revised: 07/26/2016] [Accepted: 07/29/2016] [Indexed: 11/26/2022] Open
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Evaluations of Implementation at Early-Adopting Lung Cancer Screening Programs: Lessons Learned. Chest 2017; 152:70-80. [PMID: 28223153 DOI: 10.1016/j.chest.2017.02.012] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2016] [Revised: 12/24/2016] [Accepted: 02/01/2017] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Guidelines recommend lung cancer screening (LCS), and it is currently being adopted nationwide. The American College of Chest Physicians advises inclusion of specific programmatic components to ensure high-quality screening. However, little is known about how LCS has been implemented in practice. We sought to evaluate the experience of early-adopting programs, characterize barriers faced, and identify strategies to achieve successful implementation. METHODS We performed qualitative evaluations of LCS implementation at three Veterans Administration facilities, conducting semistructured interviews with key staff (n = 29). Guided by the Promoting Action on Research Implementation in Health Services framework, we analyzed transcripts using principals of grounded theory. RESULTS Programs successfully incorporated most recommended elements of LCS, although varying in approaches to patient selection, tobacco treatment, and quality audits. Barriers to implementation included managing workload to ensure appropriate evaluation of pulmonary nodules detected by screening and difficulty obtaining primary care "buy-in." To manage workload, programs used nurse coordinators to actively maintain screening registries, held multidisciplinary conferences that generated explicit management recommendations, and rolled out implementation in a staged fashion. Successful strategies to engage primary care providers included educational sessions, audit and feedback of local outcomes, and assisting with and assigning clear responsibility for nodule evaluation. Capitalizing on pre-existing relationships and including a designated program champion helped facilitate intradisciplinary communication. CONCLUSIONS Lung cancer screening implementation is a complex undertaking requiring coordination at many levels. The insight gained from evaluation of these early-adopting programs may inform subsequent design and implementation of LCS programs.
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179
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Silva M, Pastorino U, Sverzellati N. Lung cancer screening with low-dose CT in Europe: strength and weakness of diverse independent screening trials. Clin Radiol 2017; 72:389-400. [PMID: 28168954 DOI: 10.1016/j.crad.2016.12.021] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Revised: 11/27/2016] [Accepted: 12/29/2016] [Indexed: 12/17/2022]
Abstract
A North American trial reported a significant reduction of lung cancer mortality and overall mortality as a result of annual screening using low-dose computed tomography (LDCT). European trials prospectively tested a variety of possible screening strategies. The main topics of current discussion regarding the optimal screening strategy are pre-test selection of the high-risk population, interval length of LDCT rounds, definition of positive finding, and post-test apportioning of lung cancer risk based on LDCT findings. Despite the current lack of statistical evidence regarding mortality reduction, the European independent diverse strategies offer a multi-perspective view on screening complexity, with remarkable indications for improvements in cost-effectiveness and harm-benefit balance. The UKLS trial reported the advantage of a comprehensive and simple risk model for selection of patients with 5% risk of lung cancer in 5 years. Subjective risk prediction by biological sampling is under investigation. The MILD trial reported equal efficiency for biennial and annual screening rounds, with a significant reduction in the total number of LDCT examinations. The NELSON trial introduced volumetric quantification of nodules at baseline and volume-doubling time (VDT) for assessment of progression. Post-test risk refinement based on LDCT findings (qualitative or quantitative) is under investigation. Smoking cessation remains the most appropriate strategy for mortality reduction, and it must therefore remain an integral component of any lung cancer screening programme.
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Affiliation(s)
- M Silva
- Section of Radiology, Department of Surgical Sciences, University Hospital of Parma, Parma, Italy
| | - U Pastorino
- Thoracic Surgery Unit, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - N Sverzellati
- Section of Radiology, Department of Surgical Sciences, University Hospital of Parma, Parma, Italy.
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180
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Powell CA. COUNTERPOINT: Should Only Primary Care Physicians Provide Shared Decision-making Services to Discuss the Risks/Benefits of a Low-Dose Chest CT Scan for Lung Cancer Screening? No. Chest 2016; 151:1215-1217. [PMID: 28041887 DOI: 10.1016/j.chest.2016.11.055] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Accepted: 11/30/2016] [Indexed: 11/30/2022] Open
Affiliation(s)
- Charles A Powell
- Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
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181
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Implementation of Lung Cancer Screening Programs with Low-Dose Computed Tomography in Clinical Practice. Ann Am Thorac Soc 2016; 13:425-7. [PMID: 26963353 DOI: 10.1513/annalsats.201512-804cme] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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182
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Abstract
Indeterminate pulmonary nodules are commonly encountered and often result in costly and invasive procedures that eventually turn out to be unnecessary. Current prediction models can help to estimate the pretest probability of cancer and assist in determining a strategy of observation with serial imaging for a low pretest probability of cancer, and a more aggressive approach for those patients with a high pretest probability. However, the majority of patients will have an intermediate pretest probability which becomes complex. Decisions for further management are often based on preference by the clinician with the majority of physicians not following current guidelines in the management of pulmonary nodules. Poor adherence to pulmonary nodule guidelines is multifactorial with a variety of factors coming into play. These include inappropriate advice given by the radiologist, patient age, comorbidities, patient preference, and physician's technical skill all influencing the decision making.
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Affiliation(s)
- Sonali Sethi
- Interventional Pulmonology, Respiratory Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Scott Parrish
- Interventional Pulmonary Division, Walter Reed National Military Medical Center, Bethesda, MD, USA
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183
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Effects of Implementation of Lung Cancer Screening at One Veterans Affairs Medical Center. Chest 2016; 150:1023-1029. [PMID: 27568228 DOI: 10.1016/j.chest.2016.08.1431] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Revised: 07/06/2016] [Accepted: 08/01/2016] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Lung cancer screening recommendations have been developed, but none are focused on veterans. We report the results of the lung cancer screening program at our Veterans Affairs medical center and compare them with historic results. METHODS All veterans between 55 and 74 years who were current smokers or quit within the past 15 years and had at least a 30-pack-year smoking history were invited to receive an annual low-dose chest CT scan beginning in December 2013. Demographics, CT scan results, and pathologic data of screened patients were recorded retrospectively. Overall results during the screening period were compared with results in veterans who received diagnoses from January 2011 to December 2013 (prescreening period). RESULTS From December 2013 through December 2014 (screening period), 1,832 patients obtained a screening CT scan. Their mean age was 65 years. A lung nodule was present in 439 of 1,832 patients (24%). Lung cancer was diagnosed in 55 of 1,832 screened patients (3.0%). During the prescreening period, 37% of every lung cancer detected at our center (30 of 82) was stage I or stage II. After implementation of the screening program that percentage rose to 60% (52 of 87; P < .01). During the screening period, 55 of the 87 diagnosed lung cancers (63%) were detected through the screening program. The number of lung cancers detected per month rose from 2.4 to 6.7 after implementation of the screening program (P < .01). CONCLUSIONS Implementation of lung cancer screening in the veteran population leads to detection of an increased number and proportion of early-stage lung cancers. Lung cancer screening in veterans may also increase the rate of lung cancer diagnoses in the immediate postimplementation period.
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184
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Atwater T, Massion PP. Biomarkers of risk to develop lung cancer in the new screening era. ANNALS OF TRANSLATIONAL MEDICINE 2016; 4:158. [PMID: 27195276 DOI: 10.21037/atm.2016.03.46] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Low-dose computed tomography for high-risk individuals has for the first time demonstrated unequivocally that early detection save lives. The currently accepted screening strategy comes at the cost of a high rate of false positive findings while still missing a large percentage of the cases. Therefore, there is increasing interest in developing strategies to better estimate the risk of an individual to develop lung cancer, to increase the sensitivity of the screening process, to reduce screening costs and to reduce the numbers of individuals harmed by screening and follow-up interventions. New molecular biomarkers candidates show promise to improve lung cancer outcomes. This review discusses the current state of biomarker research in lung cancer screening with the primary focus on risk assessment.
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Affiliation(s)
- Thomas Atwater
- 1 Department of Medicine, 2 Division of Allergy, Pulmonary and Critical Care Medicine, Thoracic Program, Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA ; 3 Veterans Affairs, Tennessee Valley, Healthcare System, Nashville, Tennessee, USA
| | - Pierre P Massion
- 1 Department of Medicine, 2 Division of Allergy, Pulmonary and Critical Care Medicine, Thoracic Program, Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA ; 3 Veterans Affairs, Tennessee Valley, Healthcare System, Nashville, Tennessee, USA
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185
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Simmons J, Gould MK, Iaccarino J, Slatore CG, Wiener RS. Systems-Level Resources for Pulmonary Nodule Evaluation in the United States: A National Survey. Am J Respir Crit Care Med 2016; 193:1063-5. [PMID: 27128706 PMCID: PMC4872657 DOI: 10.1164/rccm.201511-2163le] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- James Simmons
- 1 Boston University School of Medicine Boston, Massachusetts
| | - Michael K Gould
- 2 Kaiser Permanente Southern California Pasadena, California
| | | | - Christopher G Slatore
- 3 VA Portland Health Care System Portland, Oregon
- 4 Oregon Health & Science University Portland, Oregon and
| | - Renda Soylemez Wiener
- 1 Boston University School of Medicine Boston, Massachusetts
- 5 Edith Nourse Rogers Memorial VA Hospital Bedford, Massachusetts
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Armstrong K, Kim JJ, Halm EA, Ballard RM, Schnall MD. Using lessons from breast, cervical, and colorectal cancer screening to inform the development of lung cancer screening programs. Cancer 2016; 122:1338-42. [PMID: 26929386 PMCID: PMC4840047 DOI: 10.1002/cncr.29937] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2015] [Revised: 01/19/2016] [Accepted: 01/21/2016] [Indexed: 12/17/2022]
Abstract
Multiple advisory groups now recommend that high-risk smokers be screened for lung cancer by low-dose computed tomography. Given that the development of lung cancer screening programs will face many of the same issues that have challenged other cancer screening programs, the National Cancer Institute-funded Population-based Research Optimizing Screening through Personalized Regimens (PROSPR) consortium was used to identify lessons learned from the implementation of breast, cervical, and colorectal cancer screening that should inform the introduction of lung cancer screening. These lessons include the importance of developing systems for identifying and recruiting eligible individuals in primary care, ensuring that screening centers are qualified and performance is monitored, creating clear communication standards for reporting screening results to referring physicians and patients, ensuring follow-up is available for individuals with abnormal test results, avoiding overscreening, remembering primary prevention, and leveraging advances in cancer genetics and immunology. Overall, this experience emphasizes that effective cancer screening is a multistep activity that requires robust strategies to initiate, report, follow up, and track each step as well as a dynamic and ongoing oversight process to revise current screening practices as new evidence regarding screening is created, new screening technologies are developed, new biological markers are identified, and new approaches to health care delivery are disseminated. Cancer 2016;122:1338-1342. © 2016 American Cancer Society.
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Affiliation(s)
- Katrina Armstrong
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Jane J Kim
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Ethan A Halm
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Rachel M Ballard
- Office of Disease Prevention, National Institutes of Health, Bethesda, Maryland
| | - Mitchell D Schnall
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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Abstract
Most patients with lung cancer are diagnosed when they present with symptoms, they have advanced stage disease, and curative treatment is no longer an option. An effective screening test has long been desired for early detection with the goal of reducing mortality from lung cancer. Sputum cytology, chest radiography, and computed tomography (CT) scan have been studied as potential screening tests. The National Lung Screening Trial (NLST) demonstrated a 20% reduction in mortality with low-dose CT (LDCT) screening, and guidelines now endorse annual LDCT for those at high risk. Implementation of screening is underway with the desire that the benefits be seen in clinical practice outside of a research study format. Concerns include management of false positives, cost, incidental findings, radiation exposure, and overdiagnosis. Studies continue to evaluate LDCT screening and use of biomarkers in risk assessment and diagnosis in attempt to further improve outcomes for patients with lung cancer.
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Affiliation(s)
- David E Midthun
- 1Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA
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