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Ventilation defect burden predicts lung cancer...
Journal article

Ventilation defect burden predicts lung cancer resection outcomes

Abstract

Background: Abnormal ventilation prior to lung cancer resection has not been investigated using modern ventilation imaging modalities and may better predict postoperative outcomes than guideline-recommended lung function tests. Our objective was to quantify the burden of ventilation defects observed using Technegas single-photon emission computed tomography (SPECT) and 129Xe magnetic resonance imaging (MRI) before lung cancer resection, and to evaluate their association with postoperative pulmonary complications and length of hospital stay. Methods: This was a prospective, 6-week, observational study of adults undergoing lung cancer resection at a single centre. Before lung resection, participants underwent Technegas-SPECT, 129Xe-MRI, spirometry and measurement of diffusing capacity of the lung for carbon monoxide. Preoperative ventilation defect burden was quantified by the Technegas-SPECT and 129Xe-MRI ventilation defect percent (VDP). Predictors of complications during the 4-week postoperative period and length of hospital stay were evaluated by logistic and linear regression. Results: Abnormal ventilation was observed preoperatively by Technegas-SPECT and 129Xe-MRI for 58% (60 of 103) and 73% (74 of 102) of participants, respectively. Preoperative VDPs were higher for participants with postoperative complications compared with those without (SPECT: p=0.01; MRI: p=0.0006) and correlated with length of hospital stay (SPECT: r=0.44, p<0.0001; MRI: r=0.51, p<0.0001). Multivariable models revealed preoperative VDP to be the strongest predictor of postoperative complications (SPECT: OR 1.06, 95% CI 1.01-1.11, p=0.02; MRI: OR 1.11, 95% CI 1.02-1.21, p=0.02) and length of hospital stay (SPECT: β=0.16, p<0.001; MRI: β=0.23, p<0.001). Conclusion: Abnormal ventilation is prevalent prior to lung cancer resection and may be a stronger predictor of postoperative complications and length of hospital stay than standard clinical lung function measures.

Authors

Radadia N; Priel E; Friedlander Y; Konyer NB; Huang C; Jamal M; Farncombe T; Marriott C; Finley C; Agzarian J

Journal

ERJ Open Research, Vol. 11, No. 4, pp. 01317–02024

Publisher

European Respiratory Society (ERS)

Publication Date

August 18, 2025

DOI

10.1183/23120541.01317-2024

ISSN

2312-0541

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