| Autor: |
Riccardo Orlandi, Lorenzo Gherzi, Michele Ferrari, Giovanni Mattioni, Marco Alifano, Alessandro Pardolesi |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Surgical Techniques Development, Vol 13, Iss 3, Pp 269-277 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2038-9582 |
| DOI: |
10.3390/std13030020 |
| Popis: |
Background: anatomic lung segmentectomies allow accurate resection of pulmonary lesions, maximizing healthy tissue preservation, and reducing unnecessary loss of lung function. In this setting, accurate preoperative planning is crucial. We present our early experience, detailing the successful use of 3D-CT models in tailoring therapeutic strategies for three patients undergoing complex anatomical lung resections due to neoplastic diseases. Case Presentation: (1) 60-year-old male patient with significant pulmonary functional impairment underwent successful right lower lobe bi-segmentectomy (S7–S8) for carcinoid, stage IA1. (2) 65-year-old female patient with previous left lung resection and functional impairment underwent uneventful right upper lobe bi-segmentectomy (S1–S2) for double lung adenocarcinoma, stage IIb. (3) 67-year-old male with previous ipsilateral lung resection underwent left lower lobe segmentectomy (S8) for metastatic colic adenocarcinoma without any complications. Conclusion: 3D-CT imaging, particularly through VPTM platform, enhances the safety and precision of complex lung segmentectomy, providing a valuable surgical map for improved outcomes. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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