Watershed analysis in wedge resection of pulmonary pure ground-glass nodules hardly localized by CT-guided puncture

BMC Surg. 2023 May 19;23(1):139. doi: 10.1186/s12893-023-02034-2.

Abstract

Background: To investigate the feasibility and safety of watershed analysis after target pulmonary vascular occlusion for the wedge resection in patients with non-palpable and non-localizable pure ground-glass nodules during uniport thoracoscopic surgery.

Methods: A total of 30 patients with pure ground-glass nodules < 1 cm in diameter, localized in the lateral third of the lung parenchyma, were enrolled. Three-dimensional reconstruction of thin-section computed tomography (CT) data was performed using Mimics software before surgery to observe and identify the target pulmonary vessels supplying the lung tissue in the area where the pulmonary nodules were localized and to temporarily block the target pulmonary vessels during surgery. Next, the extent of the watershed was determined with the expansion-collapse method, and finally, wedge resection was performed. After wedge resection of the target lung tissue, the blocked pulmonary vessel was released, thus allowing operators to complete the procedure without damaging pulmonary vessels.

Results: None of the patients experienced postoperative complications. The chest CT of all patients was reviewed six months after the operation, revealing no tumor recurrence.

Conclusions: Our results suggest that watershed analysis following target pulmonary vascular occlusion for wedge resection in pulmonary pure ground-glass nodules is a safe and feasible approach.

Keywords: Pulmonary pure ground-glass nodules; Watershed analysis; Wedge resection.

MeSH terms

  • Humans
  • Lung / diagnostic imaging
  • Lung / pathology
  • Lung / surgery
  • Lung Neoplasms* / diagnostic imaging
  • Lung Neoplasms* / surgery
  • Neoplasm Recurrence, Local / etiology
  • Punctures
  • Retrospective Studies
  • Thoracic Surgery, Video-Assisted / methods
  • Tomography, X-Ray Computed / methods
  • Vascular Diseases*