AI Article Synopsis
- Lung resection is considered the best treatment for early-stage lung cancer, and it's crucial to predict how well patients' lungs will function after surgery to assess the risk of breathing issues.
- A systematic review evaluated 135 studies on this topic and found that CT volume and density measurements offered the most accurate predictions of postoperative lung function, specifically FEV1 values.
- The study recommends using CT measurements for better predictions, but more research is needed to connect these methods to real patient outcomes.
Article Abstract
Background: Lung resection remains the gold standard treatment for early stage lung cancer; prediction of postoperative lung function is a key selection criterion for surgery with the aim of determining risk of postoperative dyspnoea. We aimed to identify the different prediction techniques used, and compare their accuracy.
Methods: A systematic review and meta-analysis sought to synthesise studies conducted that assess prediction of postoperative lung function up to 18/02/2018 (n = 135). PROBAST was used to assess risk of bias in studies, 17 studies were judged to be at low risk of bias.
Findings: Meta-analysis revealed CT volume and density measurement to be the most accurate (mean difference 71 ml) and precise (standard deviation 207 ml) of the reported techniques used for predicting FEV1; evidence for predicting gas transfer was lacking.
Interpretation: The evidence suggests using CT volume and density is the preferred technique in the prediction of postoperative FEV1. Further studies are required to ensure that the methods and thresholds we propose are linked to patient reported outcomes.
Funding: Salary support for NKO, RM, PN, BN, and AMT was provided by University Hospitals Birmingham NHS Foundation Trust.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6833443 | PMC |
| http://dx.doi.org/10.1016/j.eclinm.2019.08.015 | DOI Listing |
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