Objective: We developed a technique to determine deep surgical margins using radiofrequency identification markers. This study assessed the feasibility of this technique during extended segmentectomy of intersegmental lesions.
Methods: A single-center, prospective, single-arm study was performed from 2020 to 2023. Small pulmonary lesions suspicious for malignancy locating the virtual intersegmental plane based on 3-dimensional imagery were included. Markers were placed in the vicinity of the lesions using electromagnetic navigation bronchoscopy. In addition to indocyanine green injection, surgeons used wireless signal strength to determine the best resection line without lung palpation to obtain surgical margins of 10 mm or the same size as the tumor.
Results: We analyzed 75 lesions in 75 patients. Median lesion size and depth from the pleura were 12.0 mm and 23.6 mm, respectively. Three-dimensional imagery identified lesions at a median distance of 7.0 mm from the virtual intersegmental plane. The median marker-lesion and marker-virtual intersegmental plane distances were 5.8 mm and 4.9 mm, respectively. Complex segmentectomy was performed in 64 of 75 patients (85.3%). The indocyanine green and preoperative simulated intersegmental lines agreed in 92.0% (69/75). In 6 cases (8.0%), the resection line was determined using radiofrequency identification markers to obtain adequate margins because the indocyanine green undyed area was smaller than the preoperatively simulated one. In 1 patient, planned segmentectomy was converted to lobectomy because of a misplaced radiofrequency identification marker (1.3%). The successful tumor resection rate was 98.7%. The median surgical margin was 16.0 mm.
Conclusions: Use of radiofrequency identification markers enabled precise extended segmentectomy with adequate surgical margins.
Keywords: indocyanine green; intersegmental plane; radiofrequency identification; robot-assisted thoracoscopic surgery; segmentectomy.
© 2024 The Author(s).