Does the positron emission tomography-computed tomography decrease the risk of thoracoscopic lobectomy for benign disease?—a propensity score matched cohort study
Abstract
Background: Preoperative characterization of solitary pulmonary nodules is critical yet challenging, as distinguishing early-stage neoplasms from benign lesions is essential to prevent unwarranted anatomical resections. The study aimed to analyze the impact of preoperative positron emission tomography-computed tomography (PET-CT) on the incidence of video-assisted thoracoscopic surgery (VATS) lobectomy for unsuspected benign disease, in patients without preoperative diagnosis. Methods: The study included 864 patients, after VATS lobectomy, without the preoperative diagnosis, between January 1, 2014 and December 31, 2020, with 654 receiving preoperative PET-CT and 210 without it. The propensity score matching analysis was done, calculating the predicted probability using: age, sex, cardiovascular comorbidities, previous malignancy, chronic obstructive pulmonary disease (COPD), diabetes, and T category, obtaining equal groups of 210 patients with preoperative PET-CT (PET group) and without preoperative PET-CT (non-PET group). Univariate and multivariate analyses assessed the impact of the various factors on the incidence of benign postoperative diagnosis. Results: 0%, P=0.046), significantly influenced the risk of the postoperative unsuspected benign diagnosis. The younger age emerged as the sole significant risk factor for VATS lobectomy for benign lesions [P=0.042, odds ratio (OR) =1.062; 95% CI: 1.002-1.127]. Conclusions: The use of preoperative PET-CT did not decrease the risk of performing VATS lobectomy on unsuspected benign tumors. That risk should be considered when qualifying for VATS lobectomy, especially in younger patients.
Fields of Study & Subjects
Lung Cancer Diagnosis and Treatment
Medical Imaging and Pathology Studies
Medical Imaging Techniques and Applications
Publication details
- Journal / source
- Journal of Thoracic Disease
- Volume
- 18
- Issue
- 2
- Pages
- 113–113
- Publication date
- 1 February 2026
- Language
- EN