Abstract
OBJECTIVES: Ground-glass nodules (GGNs), early signs of lung adenocarcinoma, increasingly require minimally invasive diagnosis due to expanded health screening. This study evaluates the mobile 3-dimensional (3D) Cios Spin system (initially for orthopaedics) in achieving integrated localization and resection of pulmonary nodules. METHODS: This retrospective study analysed 23 consecutive patients who underwent thoracic procedures at the Department of Thoracic and Cardiovascular Surgery, Fourth Affiliated Hospital of Soochow University (Dushu Lake Hospital), from January to December 2023, based on electronic medical records and operative reports. Before surgery, all pulmonary nodules were identified via low-dose or non-contrast chest computed tomography (CT) and confirmed to persist over ≥3 months. The localization needle was precisely placed (needle within ≤5 mm of nodule margin confirmed intraoperatively) with no intraoperative dislodgment. Data collection focused on demographics, procedural details, and perioperative outcomes to evaluate the intervention's feasibility and safety. RESULTS: Preoperative localization achieved 100% technical success, defined as accurate placement of the localization needle within ≤5 mm of nodule margin confirmed intraoperatively. Periprocedural complications included one pneumothorax (4.3%) during needle insertion. Positioning exceeded 45 minutes in 2 patients (8.7%) due to anatomical/imaging limitations; 1 (4.3%) required unguided resection without adverse outcomes: Mean durations were 35.3 ± 6.4 minutes for localization and 90.8 ± 20.2 minutes for surgery. All patients recovered uneventfully. No recurrence occurred at 6-month follow-up, but 2-year follow-up is required to assess long-term efficacy (retrospective follow-up ongoing). CONCLUSIONS: This case series supports the feasibility, safety, and clinical efficacy of combining pulmonary nodule localization and resection using the mobile 3D C-arm Cios Spin system. Device/patient factors (eg, system constraints) compromised localization in select cases, necessitating technical refinements and optimized selection criteria.