Details

Autor(en) / Beteiligte

• Natale, Giovanni
• Leonardi, Beatrice
• Messina, Gaetana
• Bergameo, Grazia
• Di Filippo, Vincenzo
• Chisari, Giulia
• Raciti, Gabriele
• Lombardo, Sofia Paola
• Mirra, Rosa
• Capasso, Francesca
• Leone, Francesco
• Pica, Davide Gerardo
• Fiorelli, Alfonso

Titel

Three‐dimensional lung reconstructions for the localization of lung nodules to be resected during surgery

Ist Teil von

• Thoracic cancer, 2023-12, Vol.14 (34), p.3389-3396

Ort / Verlag

Melbourne: John Wiley & Sons Australia, Ltd

Erscheinungsjahr

2023

Link zum Volltext

Quelle

Wiley Online Library Journals Frontfile Complete

Beschreibungen/Notizen

• Background The localization of lung nodules is challenging during thoracoscopy. In this study, we evaluated the use of three‐dimensional (3D) lung reconstruction for use in the operating room to guide the identification of lung nodules during thoracoscopy. Methods This was a single‐center retrospective study. All consecutive patients undergoing thoracoscopic resection of lung nodules were included in the study. Patients were retrospectively divided into two groups based upon whether the thoracoscopic resection was performed with the assistance (3D group) or not (standard group) of 3D lung reconstruction. The operative time (minutes) to detect lung nodules was statistically compared between the two study groups in relation to the characteristics of lung nodules as size, localization, and distance from the visceral pleura. Results Our study population consisted of 170 patients: 85 in the 3D group and 85 in the standard group. No intergroup difference differences were found regarding the characteristics and histological diagnosis of lesions. The standard group compared to the 3D group was associated with a significantly longer operative time for the detection of lesions <10 mm (13.87 ± 2.59 vs. 5.52 ± 1.01, p < 0.001), lesions between 10 and 20 mm (5.05 ± 0.84 vs. 3.89 ± 0.92; p = 0.03), lesions localized in complex segments (7.49 ± 4.25 vs. 5.11 ± 0.97; p < 0.001), and deep lesions (9.58 ± 4.82 vs. 5.4 ± 1.01, p < 0.001). Conclusions Our 3D lung reconstruction model for use in the operating room may be an additional tool for thoracic surgeons to guide the detection of small and deep nodules during thoracoscopy. It is a noninvasive and cost saving procedure and may be widely used. Intraoperative localization of lung nodules is challenging during thoracoscopy. We evaluated the use of 3D lung reconstruction for use in the operating room to guide the intraoperative identification of lung nodules during thoracoscopy.