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Oncology

Cost-effectiveness analysis of LungLB for the clinical management of patients with indeterminate pulmonary nodules

ORCID Icon, , , ORCID Icon, , & show all
Pages 342-347 | Received 29 Dec 2022, Accepted 15 Feb 2023, Published online: 03 Mar 2023

References

  • Siegel RL, Miller KD, Fuchs HE, et al. Cancer statistics, 2022. CA Cancer J Clin. 2022;72(1):7–33.
  • Noone AM, Howlader N, Krapcho M, editors, et al. SEER cancer statistics review, 1975–2015. Bethesda (MD): National Cancer Institute.
  • de Koning HJ, van der Aalst CM, de Jong PA, et al. Reduced lung-cancer mortality with volume CT screening in a randomized trial. New Eng J Med. 2020;382(6):503–513.
  • Paez R, Kammer MN, Massion P. Risk stratification of indeterminate pulmonary nodules. Curr Opin Pulm Med. 2021;27(4):240–248.
  • Pyenson BS, Bazell CM, Bellanich MJ, et al. No apparent workup for most new indeterminate pulmonary nodules in US commercially-insured patients. J Health Econ Outcomes Res. 2019;6(3):118–129.
  • Vachani A, Tanner NT, Aggarwal J, et al. Factors that influence physician decision making for indeterminate pulmonary nodules. Ann Am Thorac Soc. 2014;11(10):1586–1591.
  • Detterbeck FC, Lewis SZ, Diekemper R, et al. Executive summary: diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. CHEST. 2013;143(5):7S–37S.
  • Rickets W, Lau KKW, Pollit V, et al. Exploratory cost-effectiveness model of electromagnetic navigation bronchoscopy (ENB) compared with CT-guided biopsy (TTNA) for diagnosis of malignant indeterminate peripheral pulmonary nodules. BMJ Open Respir Res. 2020;7(1):e000595.
  • Gould MK, Sanders GD, Barnett PG, et al. Cost-effectiveness of alternative management strategies for patients with solitary pulmonary nodules. Ann Intern Med. 2003;138(9):724–735.
  • Maiga AW, Deppen SA, Mercaldo SF, et al. Assessment of fluorodeoxyglucose F18-labeled positron emission tomography for diagnosis of high-risk lung nodules. JAMA Surg. 2018;153(4):329–334.
  • Swensen SJ, Silverstein MD, Ilstrup DM, et al. The probability of malignancy in solitary pulmonary nodules: application to small radiologically indeterminate nodules. Arch Intern Med. 1997;157(8):849–855.
  • Folch EE, Pritchett MA, Nead MA, et al. Electromagnetic navigation bronchoscopy for peripheral pulmonary lesions: one-year results of the prospective, multicenter NAVIGATE study. J Thorac Oncol. 2019;14(3):445–458.
  • Yang B, Jhun BW, Shin SH, et al. Comparison of four models predicting the malignancy of pulmonary nodules: a single-center study of Korean adults. PLoS One. 2018;13(7):e0201242.
  • Huo J, Xu Y, Sheu T, et al. Complication rates and downstream medical costs associated with invasive diagnostic procedures for lung abnormalities in the community setting. JAMA Internal Med. 2019;179(3):324–332.
  • Berger M, Gould MK, Barnett PG. The cost of positron emission tomography in six United States veterans affairs hospitals and two academic medical centers. AJR Am J Roentgenol. 2003;181(2):359–365.
  • Services, C.f.M.M. Physician fee schedule. 2016.
  • Sheehan DF, Criss SD, Chen Y, et al. Lung cancer costs by treatment strategy and phase of care among patients enrolled in medicare. Cancer Med. 2019;8(1):94–103.
  • Jiang R, Janssen MFB, Pickard AS. US population norms for the EQ-5D-5L and comparison of norms from face-to-face and online samples. Qual Life Res. 2021;30(3):803–816.
  • Hofer F, Kauczor HU, Stargardt T. Cost-utility analysis of a potential lung cancer screening program for a high-risk population in Germany: a modelling approach. Lung Cancer. 2018;124:189–198.
  • Life table for the total population: United States, 2017–2021. Available from: https://www.cdc.gov/nchs/nvss/life-expectancy.htm
  • Ryen L, Svensson M. The willingness to pay for a quality adjusted life year: a review of the empirical literature. Health Econ. 2014;10:1289–1301.
  • Englmeier F, Bleckmann A, Brückl W, et al. Clinical benefit and cost-effectiveness analysis of liquid biopsy application in patients with advanced non-small cell lung cancer (NSCLC): a modelling approach. J Cancer Res Clin Oncol. 2022. DOI:10.1007/s00432-022-04034-w
  • Li W, Liu JB, Hou LK, et al. Liquid biopsy in lung cancer: significance in diagnostics, prediction, and treatment monitoring. Mol Cancer. 2022;21:25.
  • Tan AC. The role of liquid biopsy in the diagnostic testing algorithm for advanced lung cancer. Onco. 2022;2:181–185.