Image-guided video-assisted thoracoscopic surgery for small ground glass opacities: a case series
Original Article on Thoracic Surgery

Image-guided video-assisted thoracoscopic surgery for small ground glass opacities: a case series

Hsin-Yueh Fang, Yin-Kai Chao, Ming-Ju Hsieh, Chih-Tsung Wen, Pei-Hsuan Ho, Wei-Jiun Tang, Yun-Hen Liu

Division of Thoracic Surgery, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan, Taiwan

Contributions: (I) Conception and design: HY Fang, MJ Hsieh; (II) Administrative support: YH Liu, CT Wen; (III) Provision of study materials or patients: MJ Hsieh, YK Chao; (IV) Collection and assembly of data: HY Fang, PH Ho, WJ Tang, YK Chao; (V) Data analysis and interpretation: HY Fang, YK Chao; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

Correspondence to: Yun-Hen Liu, MD. Division of Thoracic Surgery, Chang Gung Memorial Hospital-Linko, Chang Gung University, Taoyuan, Taiwan. Email: l571011l@cgmh.org.tw.

Background: This case series demonstrated the feasibility of the image-guided video-assisted thoracoscopic surgery (iVATS) for localization and removal of ground glass opacities (GGOs). The procedure was performed in a hybrid operating room (OR) using C-arm cone-beam computed tomography (CBCT) equipped with a laser-guided navigation system.

Methods: Between October 1st 2016 to July 31st 2017, 14 consecutive patients presenting with GGOs underwent iVATS procedure. The efficacy and safety of the procedure were assessed through a retrospective chart review.

Results: The median GGOs size was 7 mm [interquartile range (IQR): 4–10 mm] with a median depth-to-size (D-S) ratio of 1.16 (IQR: 0–2.3). All of the lesions were visible on intraoperative CBCT images and localizations were successful in all patients with a median localization time of 22 min (IQR: 16–44 min). No patient required a conversion to thoracotomy. There was no operative mortality and the median length of postoperative stay was 4 days (IQR: 3–6 days). The final pathological diagnoses were as follows: primary lung cancer (n=6), lung metastases (n=2), and benign lung lesions (n=6).

Conclusions: Our study suggests the iVATS could be a helpful tool for single-stage detection and removal of GGOs.

Keywords: Computed tomography (CT); ground glass opacities (GGOs); video-assisted thoracoscopic surgery (VATS); ARTIS zeego


Received: 28 August 2017; Accepted: 15 September 2017; Published: 18 October 2017.

doi: 10.21037/jovs.2017.09.08


Introduction

Lung cancer is the leading cause of cancer death worldwide. Due to the positive result of lung cancer screening trial, using low-dose computed tomography (CT) for early lung cancer detection has gained popularity (1,2). As a consequence, thoracic surgeons are often being challenged with the removal of undiagnosed ground glass opacities (GGOs) with high probability of malignancy. However, GGOs are generally not visible to videoscopic observation and unlikely to be palpable through thoracoscopic instrument. A high conversion rate from video-assisted thoracoscopic surgery (VATS) to thoracotomy has been reported when lung nodules are less than 10 mm in diameter or located more than 5 mm below the pleural surface (3).

In order to minimize the likelihood of unplanned conversion to thoracotomy, a two-stage steps approach which consisted with preoperative tumor localization in an interventional CT suite followed by patient transfer to an operating room (OR) has been utilized. However, this workflow requires a smooth coordination between the CT suite and the OR. Otherwise, risk of complications (including pneumothorax, hemothorax, wire dislodgement, and dye fading) increased substantially when the waiting time increased (4-7).

In recent years, single-stage image-guided VATS (iVATS) has been proposed to overcome the known drawbacks of two-stage approach. Through a hybrid OR design, patients could undergo both localization and operation in the same environment. Although there are several studies showing the feasibility of iVATS, most of the studies were focused on solid lesions (8-10). The feasibility to localize GGO lesion through a cone-beam CT (CBCT) has never been reported. To this aim, we report our initial experience concerning the use of iVATS for simultaneous localization and removal of GGOs.


Methods

Study patients

Consecutive patient with undiagnosed GGOs and received iVATS between October 1st 2016 and July 31st, 2017 were eligible. The study protocol was approved by the Institutional Review Board of the Chang Gung Memorial Hospital (CGMH-IRB 201600671A3). Written informed consent was obtained from all participants. The GGO is defined as an obscure opacity with bronchial and vascular seen in CT image (11).

iVATS workflow

The procedural workflow has been previously described in detail (12) and shown on the video (Figure 1). The entire iVATS procedure was performed in a hybrid OR (Figure 2) in which a C-arm CBCT (ARTIS zeego; Siemens Healthcare GmbH, Erlangen, Germany) and a Magnus surgical table (Maquet Medical Systems, Wayne, NJ, USA) were available. A single team of thoracic surgeons performed both localization and surgery. After general anesthesia completed, the patient was placed in the planned position. All pipelines from the anesthesia side were gathered and align within the edge of table to avoid any entanglement with the rotating C-arm (Figure 3). Then an initial scan was performed during end-inspiratory breath holding for needle pathway planning (Figure 4A). The needle entry point and angulation were visualized by projecting a laser-target cross onto the patient’s surface (Figure 4B). We next introduced an 18-gauge marker needle into the patient’s thorax during end-inspiratory breath-holding and corrected both needle orientation and positioning by projecting the planned, virtual needle trajectory onto the live fluoroscopic image. When the lesion was reached, the tumor was localized by placing a localization wire (DuaLok®; Bard Peripheral Vascular, Inc., Tempe, AZ, USA). Superficial lesions were delineated by injecting PBV dye (0.3–0.5 mL, patent blue V 2.5%; Guerbet). A post-procedural CBCT scan was obtained to confirm the accuracy of tumor localization.

Figure 1 Image-guided VATS (iVATS) workflow (13). (I) Preoperative planning on traditional computed tomography; (II) iVATS procedure was performed in a hybrid OR, with a C-arm CBCT and a Magnus surgical table; (III) After anesthesia, the patient was placed in the planned position; (IV) Pre-procedural CBCT scan for needle path planning; (V) Needle entry guided by laser-target cross; (VI) Post-procedural CBCT scan for needle path confirmed; (VII) Tumor resection with hook wire guided. Available online: http://www.asvide.com/articles/1752
Figure 2 The arrangement of a hybrid OR, which included a C-arm cone-beam computed tomography (CBCT) and a Magnus surgical table.
Figure 3 Patient positioning for iVATS. All pipelines were gathered and align within the edge of table to avoid any entanglement with the rotating C-arm.
Figure 4 The process of needle puncture. (A) CBCT image for needle pathway planning; (B) the needle entry point and angulation were visualized by projecting a laser-target cross onto the patient’s surface according to planned needle pathway.

Data collection

The demographic and clinical characteristics, anesthesia variable, tumor location, size and the minimum distance between tumor to pleura were collected retrospectively. The ratio of consolidation to total tumor size (CTR) were also calculated, according to the JCOG0201 definition (14). The details for localization, included localized position and method, total localization time, radiation dose, and operation findings and methods were also included.

The total localization was defined from the time the patient setting to planned position to CBCT back in place. Radiation dose was calculated as total skin dose (SD), which was collected from the ‘‘Exam Protocol’’ of the ARTIS zeego instrument. Descriptive statistics are summarized as medians [interquartile ranges (IQRs)] for continuous data and counts (percentages) for categorical variables. All analyses were performed with the Statistical Package for the Social Sciences (SPSS), version 20 (IBM, Armonk, NY, USA).


Results

From October 1st 2016 to July 31st 2017, 14 patients with GGOs underwent iVATS. The general characteristic of the 14 patients are shown in Table 1. The median size for these patients is 7 mm (IQR: 4–10 mm), whereas their median distance from the pleural surface was 8.5 mm (IQR: 0–11 mm). The median tumor depth-to-size (D-S) ratio was 1.16 (IQR: 0–2.3). The median CTR was 0.42 (IQR: 0–0.57). There are 7 lesions located at right side and the other 7 located at left side.

Table 1
Table 1 General characteristic of the 14 patients
Full table

The details of localization were summarized on the Table 2. Ten patients were placed in lateral decubitus position and the other 4 as supine or prone position, which need re-positioned for surgery after localization completed. All of the GGOs were visible on intraoperative CBCT images. Four (28.6%) patients received localization with wire and the other 10 patients with dye.

Table 2
Table 2 Details of localization of the 14 patients
Full table

The median of SD radiation dose was 106.3 mGy (IQR: 83.3–198.5 mGy). All of the lesions were visible on intraoperative CBCT images and localizations were successful in all patients with a median localization time of 22 min (IQR:16–44 min). There was no post-localization complication such as pneumothorax, hemothorax, etc.

All of the lesions were localized successfully and were removed by sublobar resection. The final pathological reports showed 6 primary lung cancers, 2 metastases, and 6 benign lesions. In presence of an intraoperative frozen-section diagnosis of malignancies or precancerous lesions, an additional systematic lymph node dissection was performed. The median hospital stay after operation was 4 days with no in hospital mortality.


Discussion

To our knowledge, this is the largest study to report the use iVATS for localization and resection for GGOs. Our data indicated the high successful lesion targeting rate (100%) of CBCT for localization of GGO lesion and acceptable procedure time (median: 22 min), which was compatible to previous published result obtained in interventional CT-suite (4,5,7). More importantly, by taking advantage of the hybrid OR, iVATS allows surgery to be carried out in a more timely fashion following lesion localization than conventional two-stages, which theoretically reduces the risk of wire dislodgement/dye fading and patient discomfort. Taken together, our findings suggest that iVATS offers a patient-centered surgical approach and may serve as a standard approach for treating GGOs.

Despite all the advantaged, there are also some challenges we faced during the development of iVATS. First, it has been reported that CBCT has relative low resolution compared to traditional multiple detector computed tomography (MDCT), and thus the detection of GGOs would be problematic (15). However, in our study, all lesions could be seen on pre-procedural CBCT image and the smallest one was 3mm. Second, the occurrence of collision between rotating C-arm and table and gas pipelines. The acquisition of a Dyna-CT image requires a complete 200-degree rotation of the C-arm around the surgical table. Care must be taken to align all pipelines within the edge of table to avoid entanglement (Figure 3).

Meanwhile, the field of visualization (FOV) is generally smaller than MDCT. In order to include both the target lung lesion and the needle entry site into a unique CBCT FOV, the surgical table might be sporadically placed too low, ultimately leading to a collision with the C-arm. This concrete risk was especially evident when patients with a peripheral lung mass and/or a large chest cavity were placed in the lateral decubitus position. In our first four patients (#1–4), we have to reposition patient from decubitus to either prone/supine position due to the occurrence of collision, which resulted in longer procedure time (44, 30, 47, 92 min) and higher radiation exposure (396.6, 198.5, 318.8, 128 mGy). To circumvent this issue, we believed a better understanding of the limitation of reciprocal positioning of the patient, surgical table, and C-arm is of paramount importance. We have identified several useful maneuvers (including table height management and adjustments of the patient position) that may be helpful to reduce the procedural time (16). The implementation of these maneuvers as we overcame the initial procedure-related learning curve resulted in an increase of successful GGOs localization in the lateral decubitus position (100%) over the latter 10 patients.

Our findings need to be interpreted in the context of several limitations. First, the study cohort consisted of selected patients who had a single GGO requiring localization. The question as to whether iVATS can be safely applied to patients harboring two or more GGOs in need of localization remains open. Second, as the radiation dynamics of CBCT and MDCT are different, we could not estimate the real radiation exposure in iVATS patients from scanner-estimated dose. Future research is necessary to compare this novel technique with previously established localization methods in terms of diagnostic yields, complication rates, and cost-effectiveness.


Conclusions

In conclusion, our result suggests the iVATS could be a helpful tool for single-stage localization and removal of GGOs.


Acknowledgements

Funding: This study was financially supported by a grant (CMRPG3F1811) from the Chang Gung Memorial Hospital, Taiwan.


Footnote

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

Ethical Statement: The study protocol was approved by the Institutional Review Board of the Chang Gung Memorial Hospital (CGMH-IRB 201600671A3). Written informed consent was obtained from all participants.


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doi: 10.21037/jovs.2017.09.08
Cite this article as: Fang HY, Chao YK, Hsieh MJ, Wen CT, Ho PH, Tang WJ, Liu YH. Image-guided video-assisted thoracoscopic surgery for small ground glass opacities: a case series. J Vis Surg 2017;3:142.

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