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Page 8 of 11                                         Kato et al. Mini-invasive Surg 2021;5:5  I  http://dx.doi.org/10.20517/2574-1225.2020.98






















               Figure 7. A three-dimensional model of the pulmonary vessels and bronchus was made using a three-dimensional printer. The pink color
               represents the targeted tumor, the white color represents the bronchi, the red color represents the pulmonary arteries, and the blue color
               represents the pulmonary veins.


               location. The surgical margins were sufficiently secured, and there were no recurrences.

                                                                                                       [48]
               Recently, we introduced a wireless marking method for the treatment of indeterminate lung nodules .
               Three patients underwent wedge resection after marking. In all cases, the tumors were completely resected,
               and one patient was diagnosed with AIS. Although the number of cases is still small, we believe that these
               methods are useful for tumor identification in wedge resection.


               From July 2004 to August 2020, thoracoscopic segmentectomy and subsegmentectomy for lung cancer
               were performed using 3D-CT simulation in 366 patients. Segmentectomy was done in 247 cases,
               subsegmentectomy in 69 cases, and segmentectomy combined with adjacent subsegmentectomy in 50
               cases. We applied 3D-CT simulation and the slip-knot technique for these anatomical sublobar resections.
               First, the parenchyma was dissected using an energy device from the hilar site to the peripheral site along
               the intersegmental veins. Following the division of the segmental artery and vein, the segmental bronchus
                                                                 [44]
               was dissected, and an inflation-deflation line was created . The inflation-deflation line can be gradually
               identified as the intersegmental line. The bronchus was then divided with a stapler or ligated with a silk
               thread based on the bronchial diameter. The parenchyma was then dissected along the intersegmental veins
               and the inflation-deflation lines using either an electrocautery or an energy device, and the venous branches
               running into the affected segment were divided. Finally, the peripheral parenchyma was divided using
               a stapler. With these techniques, our thoracoscopic segmentectomy and subsegmentectomy procedures
               secured sufficient surgical margins and were thoroughly improved. The outcomes of thoracoscopic
               segmentectomy and subsegmentectomy were excellent, and there were no recurrences in intentional cases
               on the basis of our criteria of sublobar resections, although a small number of compromised cases were
               known to have recurrences. Thus, we performed thoracoscopic sublobar resections for small-sized lung
               cancers using these methods, and the outcomes were satisfactory in terms of curative operation. Although
               we have mainly indicated sublobar resection in GGO-dominant tumors, this procedure might also be
               indicated in small-sized solid tumors less than 2.0 cm in diameter because previous studies have reported
               favorable outcomes [10-15] .

               In recent years, we have referred to a 3D model of the pulmonary vessels and bronchus before and during
               surgery [Figure 7A and B]. The model is useful for understanding the precise anatomy of each patient. We
               prepared this model mainly for anatomical sublobar resections in patients with whom tumor localization is
               expected to be difficult. Moreover, reports on the single-port approach have been increasing. We also began
               various types of segmentectomies using this approach and investigated its safety and feasibility.
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