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Updated: Oct 16, 2025

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
Published on: June 21, 2024
The role of virtual-assisted lung mapping 2.0 combining microcoils and dye marks in deep lung resection
Masaaki Sato1, Masashi Kobayashi2, Jin Sakamoto3
1Department of Thoracic Surgery, The University of Tokyo, Tokyo, Japan.
Objectives:
Virtual-assisted lung mapping 2.0 is a novel preoperative bronchoscopic lung mapping technique combining the multiple dye marks of conventional virtual-assisted lung mapping with intrabronchial microcoils to navigate thoracoscopic deep lung resection. This study's purpose was to evaluate the feasibility of virtual-assisted lung mapping 2.0 in resecting deeply located pulmonary nodules with adequate margins.
Methods:
A multicenter, prospective single-arm study was performed from 2019 to 2020 in 8 institutions. The selection criteria were barely identifiable nodules requiring sublobar lung resections, nodules requiring resection lines reaching the inner 2/3 of the pulmonary lobe on computed tomography images in wedge resection, or the nodule center located in the inner 2/3 of the pulmonary lobe in wedge resection or segmentectomy. Resection margins larger than 2 cm or the nodule diameter were considered successful resection. Bronchoscopic placement of multiple dye marks and microcoil(s) was conducted 0 to 2 days before surgery.
Results:
We analyzed 65 lesions in 64 patients. The diameter and depth of the targeted nodules and the minimum required resection depth reported as median (interquartile range) were 9 (7-13) mm, 11 (5-15) mm, and 30 (25-35) mm, respectively. Among 60 wedge resections and 5 segmentectomies, successful resection was achieved in 64 of 65 resections (98.5%; 95% confidence interval, 91.7-100). Among 75 microcoils placed, 3 showed major displacement after bronchoscopic placement. There were no severe adverse events associated with the virtual-assisted lung mapping procedure.
Conclusions:
This study demonstrated that virtual-assisted lung mapping 2.0 can facilitate successful resections for deep pulmonary nodules, overcoming the limitations of conventional virtual-assisted lung mapping.
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