Chest X-ray sensitivity and lung cancer outcomes: a retrospective observational study

Author:

Bradley Stephen H,Bhartia Bobby SK,Callister Matthew EJ,Hamilton William T,Hatton Nathaniel Luke Fielding,Kennedy Martyn PT,Mounce Luke TA,Shinkins Bethany,Wheatstone Pete,Neal Richard D

Abstract

BackgroundChest X-ray (CXR) is the first-line investigation for lung cancer in many healthcare systems. An understanding of the consequences of false-negative CXRs on time to diagnosis, stage, and survival is limited.AimTo determine the sensitivity of CXR for lung cancer and to compare stage at diagnosis, time to diagnosis, and survival between those with CXR that detected, or did not detect, lung cancer.Design and settingRetrospective observational study using routinely collected healthcare data.MethodAll patients diagnosed with lung cancer in Leeds Teaching Hospitals NHS Trust during 2008–2015 who had a GP-requested CXR in the year before diagnosis were categorised based on the result of the earliest CXR performed in that period. The sensitivity of CXR was calculated and analyses were performed with respect to time to diagnosis, survival, and stage at diagnosis.ResultsCXR was negative for 17.7% of patients (n = 376/2129). Median time from initial CXR to diagnosis was 43 days for those with a positive CXR and 204 days for those with a negative CXR. Of those with a positive CXR, 29.8% (95% confidence interval [CI] = 27.9% to 31.8%) were diagnosed at stage I or II, compared with 33.5% (95% CI = 28.8% to 38.6%) with a negative CXR.ConclusionGPs should consider lung cancer in patients with persistent symptoms even when CXR is negative. Despite longer duration to diagnosis for those with false-negative CXRs, there was no evidence of an adverse impact on stage at diagnosis or survival; however, this comparison is likely to be affected by confounding variables.

Publisher

Royal College of General Practitioners

Subject

Family Practice

Reference37 articles.

1. Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012

2. Royal College of Physicians (2018) National Lung Cancer Audit annual report 2017 (for the audit period 2016), https://www.rcplondon.ac.uk/projects/outputs/nlca-annual-report-2017 (accessed 2 Jul 2021).

3. NHS Digital The NHS Long Term Plan. Chapter 3: further progress on care quality and outcomes: better care for major health conditions: cancer. https://www.longtermplan.nhs.uk/online-version/chapter-3-further-progress-oncare-quality-and-outcomes/better-care-for-major-health-conditions/cancer (accessed 2 Jul 2021).

4. Eurostat (2020) Healthcare resource statistics — technical resources and medical technology. https://www.ec.europa.eu/eurostat/statistics-explained/index.php/Healthcare_resource_statistics_-_technical_resources_and_medical_technology#Availability_of_technical_resources_in_hospitals (accessed 2 Jul 2021).

5. Bradley SH Abraham S Callister ME (2019) Sensitivity of chest X-ray for detecting lung cancer in people presenting with symptoms: a systematic review. Br J Gen Pract, DOI:https://doi.org/10.3399/bjgp19X706853.

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