Prediction of pulmonary complications post-lobectomy or -sub-lobectomy in lung cancer using artificial intelligence-estimated lung function indexes based on preoperative chest computed tomography
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Key Points
Favorable predictive value of AI-estimated lung function indexes for pulmonary complications after lobectomy.
Patients with pulmonary complications had significantly lower FEV1 values, emphasizing lung function's predictive role.
Univariate analysis revealed age, resected volume, and pulmonary function as critical factors predicting complications.
Favorable comparison of predictive models indicates clinical-AI-CT model outperformed others in accuracy.
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Implication
Observational analysis predicts postoperative pulmonary complications in lung cancer patients, highlighting key lung function indexes.