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Oncology

Pre-surgical lung biopsy in management of solitary pulmonary nodules: a cost effectiveness analysis

ORCID Icon, , , , , & show all
Pages 1307-1311 | Received 06 Jun 2019, Accepted 23 Aug 2019, Published online: 26 Oct 2019
 

Abstract

Objectives: Tissue diagnosis prior to thoracic surgery with curative intent is vital in thoracic lesions concerning for lung cancer. Methods of obtaining tissue diagnosis are variable within the United Kingdom.

Methods: We performed a model-based analysis to identify the most efficient method of diagnosis using both a health care perspective. Our analysis concerns adults in the UK presenting with a solitary pulmonary nodule suspicious for a primary lung malignancy, patients with more advanced disease (for example lymph node spread) were not considered. Model assumptions were derived from published sources and expert reviews, cost data were obtained from healthcare research group cost estimates (2016–17). Outcomes were measured in terms of costs experienced to healthcare trusts.

Results: Our results show that CT guided percutaneous lung biopsy using an ambulatory approach, is the most cost-effective method of diagnosis. Indeed, using this approach, trust experience approximately half of the cost of an approach of surgical lung biopsy performed at the time of potential resection (‘frozen section’).

Limitations and conclusions: Whilst this analysis is limited to the specific scenario of a solitary pulmonary nodule, these findings have implications for the implementation of lung cancer screening in the UK, which is likely to result in increased numbers of patients with such early disease.

Transparency

Declaration of funding

No funding was received for this study.

Declaration of financial/other relationships

There are no relevant financial disclosures. JME peer reviewers on this manuscript have no relevant financial or other relationships to disclose.

Acknowledgements

None reported.

Author contributions

JBa, AT, and SH conceived the study; JBe built the financial model with input from the remaining authors. Jba and SH wrote the manuscript with revisions from the remaining authors.

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