Predicting Postoperative Lung Function in Patients with Lung Cancer Using Imaging Biomarkers

Area of Science:

• Pulmonary Medicine
• Radiology
• Oncology

Background:

• Pulmonary function tests (PFTs) are used to predict postoperative lung function.
• Computed tomography (CT) offers quantitative imaging biomarkers for respiratory disease severity.
• Imaging biomarkers may enhance predictions of lung function after surgery.

Purpose of the Study:

• To predict postoperative lung function using imaging biomarkers derived from CT scans.
• To evaluate the association between quantitative CT measurements and lung function outcomes in lung cancer patients.

Main Methods:

• Retrospective analysis of 79 lung cancer patients undergoing surgery.
• Quantitative CT analysis using AVIEW COPD software for lung volume, emphysema, airway thickness (Wafw), and vessel volume.
• Statistical analysis using logistic and linear regressions to identify predictors of postoperative forced expiratory volume in one second (FEV1).

Main Results:

• Patients with preserved postoperative FEV1 had significantly higher pulmonary vessel volume.
• Emphysema severity (Pi1) and airway thickness (Wafw) were identified as independent predictors of postoperative lung function.
• 16 patients were classified as non-preserved and 63 as preserved FEV1 groups.

Conclusions:

• CT-derived imaging biomarkers are significant predictors of postoperative lung function in lung cancer patients.
• Quantitative imaging analysis provides valuable insights beyond traditional PFTs for surgical planning.
• These biomarkers can help identify patients at risk for poor lung function outcomes.