A single-center experience of 100 image-guided video-assisted thoracoscopic surgery procedures

Yin-Kai Chao, Chih-Tsung Wen, Hsin-Yueh Fang, Ming-Ju Hsieh, Yin-Kai Chao, Chih-Tsung Wen, Hsin-Yueh Fang, Ming-Ju Hsieh

Abstract

Background: The advent of image-guided video-assisted thoracoscopic surgery (iVATS) has allowed the simultaneous localization and removal of small lung nodules. The aim of this study is to detail, in a retrospective review, one institution's experience using iVATS in this clinical setting, with a special attention to efficacy, safety, and procedural details.

Methods: This study was a retrospective analysis of prospectively collected data. Between October 2016 and January 2018, a total of 95 patients with 100 small lung nodules underwent iVATS. All procedures were performed in a hybrid operating room (HOR) in which a cone-beam computed tomography (CT) apparatus and a laser navigation system were present.

Results: The mean size of the 100 lung nodules was 7.94 mm, with their mean depth from the visceral pleura being 10 mm. A total of 98 nodules were successfully localized; of them, 94 were resected through a marker-guided procedure. There were four resection failures [wire dislodgement (n=2) or dye spillage (n=2)]). A significant inverse association was found between localization time (mean: 21.19 min) and the surgeon's experience (Pearson's r=-0.632; P<0.001). The mean length of hospital stay was 4.87 days and there were no perioperative deaths.

Conclusions: In the current context of an increase in early diagnosis of lung cancer by screening programs, iVATS performed in a HOR offers a safe and efficient option for simultaneous localization and removal of small pulmonary nodules.

Keywords: ARTIS zeego; Small lung nodules; hybrid operating room (HOR); image-guided video-assisted thoracoscopic surgery (iVATS).

Conflict of interest statement

Conflicts of Interest: The authors have no conflicts of interest to declare.

Figures

Figure 1
Figure 1
Hybrid operating room in which a cone-beam CT apparatus (ARTIS zeego; Siemens Healthcare GmbH, Erlangen, Germany) and a Magnus surgical table (Maquet Medical Systems, Wayne, NJ, USA) were present.
Figure 2
Figure 2
A laser-targeting cross was projected onto the patient’s surface to visualize the needle entry point and angulation.
Figure 3
Figure 3
Localization time (raw values) plotted as a function of the number of procedures. The regression line was drawn with the least square method.

Source: PubMed

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