Next Article in Journal
Evaluation of the Heat Shock Protein 90 Inhibitor Ganetespib as a Sensitizer to Hyperthermia-Based Cancer Treatments
Previous Article in Journal
Treatment Sequencing Strategies in Advanced Neuroendocrine Tumors: A Review
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Perioperative and Oncological Outcomes of Robotic-Assisted, Video-Assisted Thoracoscopic and Open Lobectomy for Patients with N1-Metastatic Non-Small Cell Lung Cancer: A Propensity Score-Matched Study

Department of Thoracic Surgical Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Cancers 2022, 14(21), 5249; https://doi.org/10.3390/cancers14215249
Submission received: 29 September 2022 / Revised: 21 October 2022 / Accepted: 24 October 2022 / Published: 26 October 2022
(This article belongs to the Section Cancer Therapy)

Abstract

:

Simple Summary

Non-small cell lung cancer (NSCLC) is one of the most prevalent and deadly malignancies worldwide, and patients with metastatic N1 lymph nodes (LNs) are associated with a worse prognosis. Despite the fact that robotic-assisted thoracoscopic lobectomy (RATL) has been prevalently applied in treating early stage NSCLC, its advantages for patients with involved N1 LNs remain unknown. This retrospective study compared perioperative and oncological outcomes among RATL, video-assisted thoracoscopic lobectomy (VATL), and open lobectomy (OL) in a cohort of 855 consecutive cases with pathological N1 NSCLC, thereby aiming to assess the superiority of RATL over traditional surgical approaches for NSCLC patients with metastatic N1 LNs. RATL resulted in the most optimal surgical outcomes, the fastest recovery, and the lowest morbidities of postsurgical complications among the three surgical methods, and also assessed more N1 and total LNs and led to a higher incidence of postoperative upstaging than VATL, though it achieved comparable oncological outcomes in relation to VATL and OL.

Abstract

(1) Background: Despite the fact that robotic-assisted thoracoscopic lobectomy (RATL) has been prevalently applied for early stage non-small cell lung cancer (NSCLC), its superiorities are still to be fully revealed for patients with metastatic N1 lymph nodes (LNs). We aim to evaluate the advantages of RATL for N1 NSCLC. (2) Methods: This retrospective study identified consecutive pathological N1 NSCLC patients undergoing RATL, video-assisted thoracoscopic lobectomy (VATL), or open lobectomy (OL) in Shanghai Chest Hospital between 2014 and 2020. Further, perioperative and oncological outcomes were investigated. (3) Results: A total of 855 cases (70 RATL, 435 VATL, and 350 OL) were included. Propensity score matching resulted in 70, 140, and 140 cases in the RATL, VATL, and OL groups, respectively. RATL led to (1) the shortest surgical time (p = 0.005) and lowest intraoperative blood loss (p < 0.001); (2) the shortest ICU (p < 0.001) and postsurgical hospital (p < 0.001) stays as well as chest tube duration (p < 0.001); and (3) the lowest morbidities of postsurgical complications (p = 0.016). Moreover, RATL dissected more N1 (p = 0.027), more N1 + N2 (p = 0.027) LNs, and led to a higher upstaging incidence rate (p < 0.050) than VATL. Finally, RATL achieved a comparable 5-year disease-free and overall survival in relation to VATL and OL. (4) Conclusions: RATL led to the most optimal perioperative outcomes among the three surgical approaches and showed superiority in assessing N1 and total LNs over VATL, though it did achieve comparable oncological outcomes in relation to VATL and OL for N1 NSCLC patients.

1. Introduction

Lung cancer (LC) is one of the most prevalent malignancies and the top cause of tumor-related deaths globally; further, non-small cell lung cancer (NSCLC) accounts for approximately 85% of general LC morbidities [1]. Although great improvements have been made in the diagnosis of early stage NSCLC, most cases are initially diagnosed with the locally advanced disease, and patients with N1 lymph node (LNs) metastasis are associated with a remarkably worse prognosis with their 5-year overall survival (OS) at about 50% than that without nodal involvement, which results in a 5-year OS of approximately 85% [2,3,4,5]. Despite open lobectomy (OL) still being the standard surgical procedure, video-assisted thoracoscopic lobectomy (VATL), a minimally invasive surgery (MIS) technique, has also been widely used for locally advanced NSCLC [6]. Multiple studies have indicated that VATL could reduce perioperative complications and short-term morbidities and also achieve comparable long-term outcomes to OL for NSCLC patients with positive N1 and/or N2 LNs, suggesting that MIS may be a favorable surgical approach for locally advanced NSCLC [7,8].
Nowadays, robotic-assisted thoracoscopic lobectomy (RATL), an innovative MIS technique that has attracted the growing interest of thoracic surgeons, has been accepted to be feasible and oncologically effective in treating early stage NSCLC [9,10]. RATL provides a magnified, 3-dimensional (3D) visualization that allows surgeons to perform complicated surgery precisely and has shown the advantages of shorter surgical durations, decreased postoperative pains, and enables faster recoveries when compared with VATL and OL [11]. More importantly, the robot-assisted operation system possesses a highly flexible mechanical wrist of which its maneuverability is even superior to human hands, thereby making radical lymphadenectomy more convenient [12]. Therefore, RATL might be especially suitable for NSCLC patients with lymph nodal metastasis. Previous studies have indicated RATL to be safe and effective for IIIA-N2 NSCLC and may even provide short- and long-term benefits when compared with OL [13,14,15]. However, the comparison of RATL versus traditional surgical approaches concerning the perioperative and long-term outcomes specified in treating N1 NSCLC patients is limited, and the superiority of RATL for this important group of patients remains unrevealed.
In the present study, we retrospectively evaluated the perioperative and oncological outcomes of RATL, VATL, and OL for NSCLC patients with pathological-confirmed N1 lymph nodal metastasis, aiming to investigate the superiority of RATL in treating N1 NSCLC patients. Propensity score matching (PSM) was adopted in order to reduce the potential bias in patient selection.

2. Materials and Methods

2.1. Study Design

The present study is a single-center, retrospective comparative cohort study of NSCLC patients with N1 lymph nodal metastasis who underwent lobectomy at Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, and was permitted by the IRB of Shanghai Chest Hospital (No. KS1735). All procedures conducted in the study that related to human participants were performed as per the criteria outlined in the Declaration of Helsinki.

2.2. Cases Selection and Data Collection

Consecutive NSCLC patients with metastatic N1 LNs confirmed by pathology reports undergoing lobectomy, between October 2014 and June 2020, were retrospectively identified (Figure 1). Patients receiving RATL before October 2014 were not included in order to help minimize the potential bias due to the learning curve of RATL. Meanwhile, patients undergoing surgery after June 2020 were also excluded because of the relative short-term follow-up. Preoperative examinations such as pulmonary functional testing, echocardiography, and electrocardiogram were performed in order to assure the operation tolerability of patients. Distant metastasis was assessed by applying cranial enhanced magnetic resonance imaging, bone scintigraphy, and positron emission tomography/computed tomography (PET/CT). Mediastinal and pulmonary LN statues were conventionally evaluated by enhanced thoracic CT, while PET/CT, mediastinoscopy, and/or endobronchial ultrasound-guided trans-bronchial needle aspiration were further used if a chest CT scan indicated that the short-axis was larger than 1 cm of a LN. The inclusion criteria were as follows: (1) Instances of RATL, VATL, or OL that were conducted and combined with systemic LN dissection; (2) presence of a pathology report for NSCLC and positive N1 LNs after surgery. The exclusion criteria were as follows: (1) The surgery conducted was not for lung cancer and were not cases with incomplete information; (2) the patient underwent partial resection, segmentectomy, or sleeve resection; (3) underwent pneumonectomy, bi-lobectomy, or bilateral operations; (4) were with a histology other than NSCLC; (5) possessed metastatic lung tumors; (6) were without a systemic ipsilateral pulmonary and a mediastinal lymph node dissection; (7) possessed intrapulmonary or distant metastasis; (8) or underwent neoadjuvant therapy.
It must be noted, that the surgical approach used was decided by both patients and surgeons together prior to the surgery. A total of 855 consecutive N1 NSCLC patients were enrolled and further classified into the RATL, VATL, and OL groups according to the surgical approach each patient received. The following data of the included patients were recorded, including: (1) Clinicopathological features such as age, sex, body mass index (BMI), smoking status, preoperative comorbidities, pulmonary functions, location, histological type, size, visceral pleural invasion, pathological stage of the primary tumor, pathological TNM stage of the disease, and adjuvant therapy; (2) surgical outcomes such as resection margin, surgical duration, intraoperative blood loss, and blood transfusion; (3) postoperative recoveries including length of ICU and postsurgical stays, duration and volume of chest tube drainage; (4) postsurgical complications; (5) LN assessments, such as: N1 LN assessments including N1 LN and stations counts, hilar (#10), interlobar (#11), and lobar (#12) LN counts, and LN assessing frequency, N2 LN assessments including N2 LN and stations counts, as well as lymph nodal upstaging; (4) oncological outcomes such as the 1-year, 3-year, and 5-year disease-free survival (DFS) and OS. All cases were staged according to the tumor, node, and metastasis (TNM) staging system (8th edition) of IASLC.

2.3. Surgical Procedures

RATL, VATL, and OL were all performed following the procedures that was reported by our team in previous studies [13,15,16]. Briefly, all patients received a radical lobectomy combined with systemic LN assessment; further, the mediastinal and hilar LNs were regularly harvested. RATL was conducted by adopting the da Vinci Surgical System (Intuitive Surgical, CA, USA) according to the definition of the Cancer and Leukemia Group B 39802. RATL and VATL were performed through four minimal incisions with a non-rib-spreading technique. Further, patients in the OL group underwent a routine rib-spreading thoracotomy via an incision of 15–20 cm. The intraoperative rapid frozen section was required for every patient during the operation.

2.4. Postoperative Management and Follow-Up

The enhanced postoperative recovery protocol including preoperative smoking withdrawal and breathing training, as well as early postoperative activities and extraction of the chest tube, were routinely applied to all patients. The standard adjuvant therapy such as chemotherapy, radiotherapy, chemoradiotherapy, target therapy, or immunotherapy was recommended for every patient depending on the individual circumstance, unless the therapy was unfeasible.
After discharge from the hospital, patients were reviewed via using a brain MRI and thoracic CT scan every 3 months during the first two years and every year afterward. The telephone and/or internet follow-up was conducted once a year until death, or January 2022 for the patients who did not periodically come to outpatient care. Cases that missed follow-up were assessed according to the most recent medical records.

2.5. Statistical Analysis

Statistical analysis was conducted following the previously described methods [17,18]. Appropriate descriptive statistics were adopted to express variables, including median [range] or mean ± standard deviation (SD) for the continuous variable and frequencies (percentages) for the categorical variable. For the continuous variable, the Kolmogorov–Smirnov test was adopted in order to analyze the homogeneity of variance and the normality of distribution. For variables with normal distribution and homogeneous variance, the analysis of variance followed by Tukey’s multiple comparisons test was performed. Otherwise, the Kruskal–Wallis rank sum test, followed by Dunn’s multiple comparisons test, was conducted. Pearson’s χ2 or Fisher exact test followed by the Bonferroni post hoc test was used to compare the categorical variable. The Kaplan–Meier curves log-rank (Mantel–Cox) test was adopted to analyze the oncological outcomes, and the multiple Cox regression model analysis was further applied to analyze factors relevant to DFS and OS. Statistical analysis was performed using SPSS 26.0 (IBM Corporation, Armonk, NY, USA). Oncological outcomes were analyzed using GraphPad Prism 9 (GraphPad Software Inc., San Diego, CA, USA). The p-value < 0.050 was considered statistically significant.
To minimize the potential bias in case selection, propensity score matching (PSM), applying the nearest matching method, was used to achieve equilibrium with the baseline confounding features of included cases with a 1:2:2 RATL versus VATL versus OL group ratio. The included cases were matched with the 8 variables, which were as follows: (1) categorical variables including sex, histological type, and pathological TNM stage; (2) continuous variables including age, BMI, DLCO %, FEV1 %, and tumor size. PSM was performed by applying the R version 4.1.3 (The R Foundation for Statistical Computing, Vienna, Austria).

3. Results

3.1. Clinicopathologic Characteristics

The baseline demographic and clinicopathologic features of patients before PSM are summarized in Table 1. The OL group possessed the highest percentage of males (p < 0.001) and the largest tumor size (p < 0.001) among the three groups. The RATL, VATL, and OL groups also remarkably differed in smoke status (p < 0.001), histological type (p < 0.001), pathological T (p < 0.001), and TNM (p < 0.001) stages. PSM was then applied to achieve equilibrium with the baseline clinicopathologic features among the RATL, VATL, and OL groups; as such, 350 patients were finally identified. As expressed in Table 2, patients in the three groups had comparable distributions of all included baseline clinicopathologic characteristics following PSM.

3.2. Perioperative Outcomes

The perioperative outcomes of the RATL, VATL, and OL groups after PSM are expressed in Table 3. In terms of surgical outcomes, RATL led to the shortest surgical time (p = 0.005) and the lowest intraoperative blood loss (p < 0.001) among the three groups. The three surgical approaches led to a comparable resection margin (p = 0.330), reoperation incidence (p = 0.780), and intraoperative blood transfusion rate (p = 0.844). Further multiple comparisons showed that RATL was associated with a significantly shorter operation duration than VATL (p = 0.003) and notably fewer intraoperative blood loss than OL (p < 0.050). Moreover, the RATL group had the shortest length of ICU (p < 0.001) and postsurgical (p <0.001) stays as well as chest tube drainage duration (p < 0.001). The three groups had comparable chest tube drainage volumes (p = 0.967). Further multiple comparisons showed that RATL led to a significantly shorter length of ICU (p < 0.001) and postsurgical (p < 0.001) stays as well as a notably shorter chest tube duration (p < 0.001) than OL. Finally, RATL led to the fewest postsurgical comorbidities, followed by VATL, and OL (p = 0.016). Further multiple comparisons revealed that RATL led to significantly fewer postsurgical comorbidities than OL (p < 0.050).

3.3. LNs Assessment

The LN assessment of RATL, VATS, and OL after PSM is shown in Table 4. OL dissected the most N1 (p = 0.013) and also total (p = 0.001) LNs. Further multiple comparisons showed that RATL harvested significantly more N1 (p = 0.027) and N1 + N2 LNs (p = 0.027) when compared with VATL and assessed comparable N1 (p = 1.000) and total (p = 0.950) LNs to OL. Moreover, RATL was associated with the highest incidence of postoperative upstaging (p = 0.040), and further multiple comparisons showed that the incidence of postoperative upstaging of the RATL group was also notably higher than that of the VATL group (p < 0.050) and comparable to that of the OL group (p > 0.050). Finally, the three groups had a similar (1) frequency and overall and positive count of assessed #10, #11, and #12 LNs; (2) overall and positive count of dissected N1 stations and positive count of assessed N1 LNs; (3) overall count of harvested N2 LNs and stations; and (4) overall count of dissected N1 + N2 stations (all p > 0.050).

3.4. Oncological Outcomes

After PSM, the overall median postoperative follow-up was 41.5 months [interquartile range (IQR), 26.0–57.0 months]. For the RATL, VATL, and OL groups, the median follow-up was 39.5 months [IQR, 19.5–59.0 months], VATL 44.5 months [IQR, 30.0–56.0 months], and OL 42.0 months [IQR, 25.0–58.5 months], respectively. In the RATL, VATL, and OL groups, the 5-year DFS was 54.41%, 49.31%, and 51.44%, respectively, and the 5-year OS was 68.59%, 62.81%, and 66.24%, respectively (Figure 2A,B). The three surgical approaches were associated with the similar DFS (p = 0.599) and OS (p = 0.765) data. In addition, the subgroup analysis indicated no survival data difference among the RATL, VATL, and OL groups in terms of the tumor size (Figure 3A–D) and the pathological TNM stage (Appendix A, Figure A1A–D). Furthermore, multivariate Cox regression model analysis revealed that the operation approach was not individually associated with the DFS (Hazard Ratio (HR) = 1.008, p = 0.970; Table 5) or OS (HR = 0.855, p = 0.577), and receiving adjuvant therapy was independently associated with prolonged DFS (HR = 0.520, p = 0.012) and OS (HR = 0.405, p = 0.003). However, an increased metastatic number of LNs was the independent risk factor of poor DFS (HR = 0.268, p < 0.001) and OS (HR = 0.368, p < 0.001).

4. Discussion

Although RATL has been widely accepted to be safe and effective for lobectomy and is being widely applied in treating early stage NSCLC, its application in advanced-stage NSCLC is still controversial [19]. Several retrospective studies have indicated RATL to be feasible and oncologically effective for the treatment of N2 NSCLC [8,14,20]. Recently, our team conducted a multicenter, randomized, controlled trial, which suggested that RATL improved perioperative outcomes and achieves similar long-term outcomes compared with open thoracotomy for clinical-N2 NSCLC patients [13,15]. However, the study comparing RATL with traditional surgical approaches in perioperative and the oncological outcomes specified for N1 NSCLC patients is limited; further, the superiority of RATL for this important group of patients remains unknown. Although a few retrospective studies have reported perioperative outcomes and LN dissection of RATL specified for N1 NSCLC patients, none of them included the comparison versus VATL and/or OL [3,5,20]. Recently, a retrospective study suggested that RATL led to comparable perioperative outcomes, LN assessment, and short-term survival when compared to VATL for clinical-N1/N2 NSCLC patients [16]. However, this study merely included 57 N1 NSCLC cases. In our retrospective study that identified a total of 855 NSCLC patients with N1 LNs metastasis who underwent RATL, VATL, or OL—RATL was found to result in the best perioperative outcomes among the three surgical approaches and exhibited superiority in N1 LN assessment over VATL, though it achieved comparable oncological outcomes in regard to VATL and OL.
In terms of perioperative outcomes, our results indicated that RATL possessed a significantly shorter surgical time than VATL. Referring to the previous research, RATL was commonly understood to prolong the surgical duration, which may be attributed to the extra docking duration and influence of the learning curve [21,22]. Nevertheless, RATL was usually associated with a shorter surgical duration compared with VATL, according to our previous studies, and the surgical time of RATL in this study was also fewer than that in the research reported by other surgical teams, which may be attributed to the accumulation of surgical experience, a well-organized medical team, and a high-patient-volume medical center [9,16,21,22]. Moreover, RATL led to the fastest postsurgical recoveries and the least postsurgical morbidities in this study, which may be due to the 3D, high-definition visualized surgical field and tremor filtration provided by the robot-assisted operation system that allows operators to perform the surgical resection more precisely and to, therefore, avoid unnecessary damage [23,24].
Despite preoperative LN evaluations having made great improvements, hidden positive N1 LNs are still notable, therefore the sampling of N1 LNs is of critical importance for the surgical treatment of NSCLC patients, especially for those with the clinical-N0 (cN0) disease [25]. Previous studies have evaluated the assessment of N1 LNs by using the robot-assisted surgical system, indicating conflicting results. Three independent studies indicated that RATL harvested more N1 LNs and similar LN stations compared with VATL and OL [26,27,28]. However, Kneuertz et al., demonstrated that RATL failed to show superiority in N1 lymph nodal dissection over VATL or OL [29]. Our results indicated that despite the three surgical approaches dissecting similar LN stations, RATL harvested significantly more total and N1 LNs than VATL, and that such an advantage might be due to the 3D, magnified visualization, and enhanced maneuverability and dexterity of the robot-assisted operation system—which could provide surgeons with improved abilities in dissecting LNs around bronchi and vessels [30]. Postoperative LN upstaging could also present itself as a key indicator of surgical quality due to the limited values of preoperative staging in assessing N1 LNs involvement as in the aforementioned other procedures. According to previous studies, the upstaging incidence varies, ranging from less than 40% to as high as more than 60%, in pathological-N1 (pN1) NSCLC patients [22,31,32,33]. Our results showed that RATL led to the lymph nodal upstaging incidence of 68.57%, which was notably higher than those receiving VATL. Such advantages might be largely attributed to the increased N1 LN assessment by RATL that reduced the incidence of occult N1 LNs metastasis for clinical-N0 NSCLC patients [34]. Although this study merely included pN1 NSCLC patients, our results did reveal that RATL possessed superiority in detecting hidden positive N1 LNs. Therefore, for cN0 NSCLC patients with a high hazard of lymph nodal metastasis—such as the increased level of carcinoembryonic antigen, the high standardized uptake value of PET/CT, and the enlarged tumor size—RATL may be a favorable surgical approach over VATL in the context of leading to more complete staging. This could provide evidence for adjuvant therapy and thus achieve better long-term outcomes [35,36,37]. Moreover, for clinical-N1 NSCLC patients, the breakdown by the pathological N category ranges from approximately 15% to 53%, and the increased LNs sample through RATL may contribute to a more accurate LN staging [20,38,39,40]. Further investigation is needed to verify whether RATL possesses superiority in precise LN staging, and even oncological outcomes over VATL, for clinical-N0 and N1 NSCLC patients with a high hazard of LN involvement.
In this study, we retrospectively identified pathological N1 NSCLC patients who underwent RATL, VATL, or OL. Further, the different selection tendencies in the surgical approach concerning the clinical N stage of patients may cause selection bias that influenced the conclusion when comparing the lymph nodal upstaging among the three surgical techniques. In our hospital, the option between the MISs and OL approaches mainly depended on the tumor location, while the clinical lymph nodal involvement was relatively less considered. Open surgery was preferred for patients with a central malignancy that had a close relationship with the hilar structures. Therefore, patients who underwent OL were more likely associated with a larger tumor size and advanced T stage, which was evidenced by the patients in the OL group possessing the largest tumor size and the highest proportion of stage IIIA disease before PSM. Meanwhile, NSCLC patients with a history of intrathoracic diseases (e.g., tuberculosis and pleurisy) and/or thoracic surgeries who were estimated to possess a severe pleural adhesion may also undergo OL. In addition, although previous studies have shown the superiority of RATL over VATL in decreasing postoperative pain and dissecting more LNs for resectable NSCLC patients, the selection between RATL and VATL methods was mostly based on the willingness and economic conditions of patients in recent years since RATL is usually associated with increased overall costs and VATL is the most prevalently applied MIS approach, while the clinical lymph nodal metastasis was also less considered [9,22]. Most importantly, the clinical N stage of the enrolled cases was comparable among the RATL, VATL, and OL groups before and after PSM. Taken together, we believed that the bias in the selection of clinical N0 patients among the three surgical approaches was relatively low, and the slight increase in the proportion of clinical N0 patients in the RATL and OL groups over the VATL group was largely attributed to the increased assessment of LNs, which contributed to the discovery of the hidden N1 LNs.
Due to the relatively short duration that RATL has been applied for NSCLC, its long-term oncological efficacies have been reported by a mere few studies. Yang et al. and Shagabayeva et al. found that RATL achieved a similar 5-year survival to VATL and OL for stage I and II-IIIA NSCLC, respectively [41,42]. Meanwhile, Herb et al. reported that RATL offered a long-term advantage over OL for clinical-N2 NSCLC patients, while a prospective study reported by Huang et al. did not show such superiority [14,15]. In the present study, we found that RATL achieved comparable oncological outcomes to VATL and OL for the treatment of N1 NSCLC. Meanwhile, the increased number of metastatic N1 LNs was the independent risk factor of poor DFS and OS for N1 NSCLC patients, while receiving adjuvant therapy could prolonged survival. However, the tumor size and visceral pleural invasion were not independently associated with the oncological outcomes. These results suggested that N1 lymph nodal metastasis was a more important factor than the primary tumor that impacts the oncological outcomes of N1 NSCLC patients. However, our recruitment ended in June 2020 and many cases have not reached a 5-year follow-up. The first RATL in the mainland of China was performed by our surgical team in 2009; further, our surgeons were unskilled when we first performed this innovative surgical technique. Therefore, many of the included patients in this study received RATL in recent years. In addition, NSCLC cases that underwent RATL, VATL, or OL in the same period were identified to minimize the potential bias attributed to the operation date. As a consequence, the 5-year follow-up profiles were available for a few cases. Nevertheless, most patients have finished the 3-year follow-up, and the results indicated that the three groups had close 1-year and 3-year survival data. Currently, we are proceeding with follow-up and are including more eligible patients, intending to further investigate the long-term outcomes of RATL, VATL, and OL. Moreover, the timing and site-specific recurrence patterns, which might provide better postoperative surveillance strategies for N1 NSCLC patients among the three surgical methods, may also require further detection.
To the best of our knowledge, this study is the largest retrospective study assessing the superiority of RATL over traditional surgical approaches regarding perioperative and oncological outcomes specified for NSCLC patients with N1 lymph nodal metastasis. Moreover, we also notice there are still some limitations of our study. Firstly, the present study is a retrospective study, which was, therefore, likely to result in undiscovered confounding and selection bias among the three groups. Although consecutive cases were included and PSM was applied to minimize the bias, participants were not randomized before operations, and a large percentage of patients who received VATL or OL were excluded after PSM. Therefore, randomized, controlled trials might be essential to further validate the conclusions of this study. Secondly, our research was conducted in one high-patient-volume medical center in China, which restricted the representation of the participants. Therefore, further national multi-center studies are needed to ensure the representation of this study. Finally, our study merely enrolled N1 NSCLC patients who received lobectomy, and further studies evaluating the feasibility and efficacy of RATL for other resectable advanced-stage NSCLC (e.g., T3-4 or N2 NSCLC) are necessary to expand the application of RATL in treating NSCLC.

5. Conclusions

Our study demonstrated that RATL resulted in the optimal surgical outcomes, the fastest recovery, and the lowest morbidities of postsurgical complications among the three surgical methods that were analyzed. Further, it also showed superiority in the N1 LN assessment over VATL, though it achieved comparable oncological outcomes in regard to VATL and OL for NSCLC patients with N1 lymph nodal metastasis. Further follow-up and prospective studies are necessary in order to verify our findings.

Author Contributions

Conceptualization, J.H. and Q.L.; methodology, H.P. and Y.T.; validation, H.P., H.W. and J.H.; formal analysis, H.P., Y.T., L.J., Z.G. and J.N.; investigation, H.P., Y.T., H.W., L.J. and H.Z.; resources, J.H. and Q.L.; data curation, Q.L.; writing—original draft preparation, H.P. and Y.T.; writing—review and editing, H.W., J.H. and Q.L.; visualization, H.P. and Y.T.; supervision, J.H. and Q.L.; project administration, Q.L.; funding acquisition, Q.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (grant number: 81972176) and the Shanghai Hospital Development Center (grant number: SHDC12016113).

Institutional Review Board Statement

The present study was performed in accordance with the Declaration of Helsinki (as revised in 2013) and approved by the Institutional Review Board Shanghai Lung Tumor Clinical Medical Center, Shanghai Chest Hospital (approval number KS1735; 6 September 2017).

Informed Consent Statement

Patient consent was waived due to the study’s retrospective nature.

Data Availability Statement

All data presented in this study are available upon reasonable request from the corresponding author Qingquan Luo.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Appendix A

Figure A1. Subgroup analysis of oncological outcomes of N1 NSCLC patients in terms of the pathological TNM stage. The comparison of disease-free (A) and overall (B) survival for cases with a stage IIB disease. The comparison of disease-free (C) and overall (D) survival for cases with a stage IIIA stage. RATL: robot-assisted thoracoscopic lobectomy; VATL: video-assisted thoracoscopic lobectomy; and OL: open lobectomy.
Figure A1. Subgroup analysis of oncological outcomes of N1 NSCLC patients in terms of the pathological TNM stage. The comparison of disease-free (A) and overall (B) survival for cases with a stage IIB disease. The comparison of disease-free (C) and overall (D) survival for cases with a stage IIIA stage. RATL: robot-assisted thoracoscopic lobectomy; VATL: video-assisted thoracoscopic lobectomy; and OL: open lobectomy.
Cancers 14 05249 g0a1

References

  1. Thai, A.; Solomon, B.J.; Sequist, L.V.; Gainor, J.F.; Heist, R.S. Lung cancer. Lancet 2021, 398, 535–554. [Google Scholar] [CrossRef]
  2. Singal, G.; Miller, P.; Agarwala, V.; Li, G.; Kaushik, G.; Backenroth, D.; Gossai, A.; Frampton, G.M.; Torres, A.Z.; Lehnert, E.M.; et al. Association of Patient Characteristics and Tumor Genomics with Clinical Outcomes among Patients with Non–Small Cell Lung Cancer Using a Clinicogenomic Database. JAMA 2019, 321, 1391–1399. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Yoshida, Y.; Yotsukura, M.; Nakagawa, K.; Watanabe, H.; Motoi, N.; Watanabe, S.-I. Surgical Results in Pathological N1 Nonsmall Cell Lung Cancer. Thorac. Cardiovasc. Surg. 2021, 69, 366–372. [Google Scholar] [CrossRef] [PubMed]
  4. Yamashita, S.-I.; Tokuishi, K.; Moroga, T.; Nagata, A.; Imamura, N.; Miyahara, S.; Yoshida, Y.; Waseda, R.; Sato, T.; Shiraishi, T.; et al. Long-term survival of thoracoscopic surgery compared with open surgery for clinical N0 adenocarcinoma. J. Thorac. Dis. 2020, 12, 6523–6532. [Google Scholar] [CrossRef]
  5. White, A.; Kucukak, S.; Lee, D.N.; Mazzola, E.; Dolan, D.; Bueno, R.; Jaklitsch, M.T.; Swanson, S.J. Chemotherapy and Surgical Resection for N1 Positive Non–small Cell Lung Cancer: Better than Expected Outcomes. Semin. Thorac. Cardiovasc. Surg. 2021, 33, 1105–1111. [Google Scholar] [CrossRef]
  6. Deboever, N.; Mitchell, K.G.; Feldman, H.A.; Cascone, T.; Sepesi, B. Current Surgical Indications for Non-Small-Cell Lung Cancer. Cancers 2022, 14, 1263. [Google Scholar] [CrossRef]
  7. Yun, J.K.; Park, I.; Kim, H.R.; Choi, Y.S.; Lee, G.D.; Choi, S.; Kim, Y.-H.; Kim, D.K.; Park, S.-I.; Cho, J.H.; et al. Long-term outcomes of video-assisted thoracoscopic lobectomy for clinical N1 non-small cell lung cancer: A propensity score-weighted comparison with open thoracotomy. Lung Cancer 2020, 150, 201–208. [Google Scholar] [CrossRef]
  8. Patané, A.K. Minimal invasive surgery in locally advanced N2 non-small cell lung cancer. Transl. Lung Cancer Res. 2021, 10, 519–528. [Google Scholar] [CrossRef]
  9. Huang, J.; Tian, Y.; Zhou, Q.-J.; Ning, J.-W.; Gu, Z.-N.; Lu, P.-J.; Li, J.-T.; Lin, H.; Chen, T.-X.; Yang, Y.-H.; et al. Comparison of perioperative outcomes of robotic-assisted versus video-assisted thoracoscopic right upper lobectomy in non-small cell lung cancer. Transl. Lung Cancer Res. 2021, 10, 4549–4557. [Google Scholar] [CrossRef]
  10. Montagne, F.; Guisier, F.; Venissac, N.; Baste, J.-M. The Role of Surgery in Lung Cancer Treatment: Present Indications and Future Perspectives—State of the Art. Cancers 2021, 13, 3711. [Google Scholar] [CrossRef]
  11. Park, B.J.; Flores, R.M.; Rusch, V. Robotic assistance for video-assisted thoracic surgical lobectomy: Technique and initial results. J. Thorac. Cardiovasc. Surg. 2006, 131, 54–59. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Zirafa, C.C.; Romano, G.; Key, T.H.; Davini, F.; Melfi, F. The evolution of robotic thoracic surgery. Ann. Cardiothorac. Surg. 2019, 8, 210–217. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Huang, J.; Li, C.; Li, H.; Lv, F.; Jiang, L.; Lin, H.; Lu, P.; Luo, Q.; Xu, W. Robot-assisted thoracoscopic surgery versus thoracotomy for c-N2 stage NSCLC: Short-term outcomes of a randomized trial. Transl. Lung Cancer Res. 2019, 8, 951–958. [Google Scholar] [CrossRef] [PubMed]
  14. Herb, J.N.; Kindell, D.G.; Strassle, P.D.; Stitzenberg, K.B.; Haithcock, B.E.; Mody, G.N.; Long, J.M. Trends and Outcomes in Minimally Invasive Surgery for Locally Advanced Non–Small-Cell Lung Cancer with N2 Disease. Semin. Thorac. Cardiovasc. Surg. 2021, 33, 547–555. [Google Scholar] [CrossRef]
  15. Huang, J.; Tian, Y.; Li, C.; Shen, Y.; Li, H.; Lv, F.; Lin, H.; Lu, P.; Lin, J.; Lau, C.; et al. Robotic-assisted thoracic surgery reduces perioperative complications and achieves a similar long-term survival profile as posterolateral thoracotomy in clinical N2 stage non-small cell lung cancer patients: A multicenter, randomized, controlled trial. Transl. Lung Cancer Res. 2021, 10, 4281–4292. [Google Scholar] [CrossRef]
  16. Li, C.; Hu, Y.; Huang, J.; Li, J.; Jiang, L.; Lin, H.; Lu, P.; Luo, Q. Comparison of robotic-assisted lobectomy with video-assisted thoracic surgery for stage IIB–IIIA non-small cell lung cancer. Transl. Lung Cancer Res. 2019, 8, 820–828. [Google Scholar] [CrossRef]
  17. Komotar, R.J.; Starke, R.M.; Raper, D.M.; Anand, V.K.; Schwartz, T.H. Endoscopic Endonasal Compared with Microscopic Transsphenoidal and Open Transcranial Resection of Craniopharyngiomas. World Neurosurg. 2012, 77, 329–341. [Google Scholar] [CrossRef]
  18. Casazza, G.C.; Thomas, A.J.; Gurgel, R.K.; Shelton, C.; Meier, J.D. Variation in Tympanoplasty Cost in a Multihospital Network. Otol. Neurotol. 2018, 39, e1047–e1053. [Google Scholar] [CrossRef]
  19. Gao, Y.; Jiang, J.; Xiao, D.; Zhou, Y.; Chen, Y.; Yang, H.; Wang, L.; Zeng, J.; He, B.; He, R.; et al. Robotic-assisted thoracic surgery following neoadjuvant chemoimmunotherapy in patients with stage III non-small cell lung cancer: A real-world prospective cohort study. Front. Oncol. 2022, 12, 969545. [Google Scholar] [CrossRef]
  20. Glover, J.; Velez-Cubian, F.O.; Toosi, K.; Ng, E.; Moodie, C.C.; Garrett, J.R.; Fontaine, J.P.; Toloza, E.M. Perioperative outcomes and lymph node assessment after induction therapy in patients with clinical N1 or N2 non-small cell lung cancer. J. Thorac. Dis. 2016, 8, 2165–2174. [Google Scholar] [CrossRef]
  21. Reddy, R.M.; Gorrepati, M.L.; Oh, D.S.; Mehendale, S.; Reed, M.F. Robotic-Assisted versus Thoracoscopic Lobectomy Outcomes from High-Volume Thoracic Surgeons. Ann. Thorac. Surg. 2018, 106, 902–908. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Jin, R.; Zheng, Y.; Yuan, Y.; Han, D.; Cao, Y.; Zhang, Y.; Li, C.; Xiang, J.; Zhang, Z.; Niu, Z.; et al. Robotic-assisted versus Video-assisted Thoracoscopic Lobectomy: Short-term Results of a Randomized Clinical Trial (RVlob Trial). Ann. Surg. 2022, 275, 295–302. [Google Scholar] [CrossRef] [PubMed]
  23. Kanzaki, M. Current status of robot-assisted thoracoscopic surgery for lung cancer. Surg. Today 2019, 49, 795–802. [Google Scholar] [CrossRef] [PubMed]
  24. Veronesi, G.; Novellis, P.; Voulaz, E.; Alloisio, M. Robot-assisted surgery for lung cancer: State of the art and perspectives. Lung Cancer 2016, 101, 28–34. [Google Scholar] [CrossRef]
  25. Jianlong, B.; Pinyi, Z.; Xiaohong, W.; Su, Z.; Sainan, P.; Jinfeng, N.; Shidong, X. Risk factors for lymph node metastasis and surgical scope in patients with cN0 non-small cell lung cancer: A single-center study in China. J. Cardiothorac. Surg. 2021, 16, 304. [Google Scholar] [CrossRef] [PubMed]
  26. Gallina, F.T.; Melis, E.; Forcella, D.; Mercadante, E.; Marinelli, D.; Ceddia, S.; Cappuzzo, F.; Vari, S.; Cecere, F.L.; Caterino, M.; et al. Nodal Upstaging Evaluation After Robotic-Assisted Lobectomy for Early-Stage Non-small Cell Lung Cancer Compared to Video-Assisted Thoracic Surgery and Thoracotomy: A Retrospective Single Center Analysis. Front. Surg. 2021, 8, 666158. [Google Scholar] [CrossRef] [PubMed]
  27. Toker, A.; Özyurtkan, M.O.; Demirhan, Ö.; Ayalp, K.; Kaba, E.; Uyumaz, E. Lymph Node Dissection in Surgery for Lung Cancer: Comparison of Open vs. Video-Assisted vs. Robotic-Assisted Approaches. Ann. Thorac. Cardiovasc. Surg. 2016, 22, 284–290. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Nelson, D.B.; Mehran, R.J.; Mitchell, K.G.; Rajaram, R.; Correa, A.M.; Bassett, R.L., Jr.; Antonoff, M.B.; Hofstetter, W.L.; Roth, J.A.; Sepesi, B.; et al. Robotic-Assisted Lobectomy for Non-Small Cell Lung Cancer: A Comprehensive Institutional Experience. Ann. Thorac. Surg. 2019, 108, 370–376. [Google Scholar] [CrossRef]
  29. Kneuertz, P.J.; Cheufou, D.H.; D’Souza, D.M.; Mardanzai, K.; Abdel-Rasoul, M.; Theegarten, D.; Moffatt-Bruce, S.D.; Aigner, C.; Merritt, R.E. Propensity-score adjusted comparison of pathologic nodal upstaging by robotic, video-assisted thoracoscopic, and open lobectomy for non–small cell lung cancer. J. Thorac. Cardiovasc. Surg. 2019, 158, 1457–1466.e2. [Google Scholar] [CrossRef]
  30. Veronesi, G.; Abbas, A.E.-S.; Muriana, P.; Lembo, R.; Bottoni, E.; Perroni, G.; Testori, A.; Dieci, E.; Bakhos, C.T.; Car, S.; et al. Perioperative Outcome of Robotic Approach versus Manual Videothoracoscopic Major Resection in Patients Affected by Early Lung Cancer: Results of a Randomized Multicentric Study (ROMAN Study). Front. Oncol. 2021, 11, 726408. [Google Scholar] [CrossRef]
  31. Moon, Y.; Lee, K.Y.; Kim, K.S.; Kil Park, J. Clinicopathologic correlates of postoperative N1 or N2 nodal upstaging in non-small cell lung cancer. J. Thorac. Dis. 2016, 8, 79–85. [Google Scholar] [CrossRef] [PubMed]
  32. Decaluwé, H.; Stanzi, A.; Dooms, C.; Fieuws, S.; Coosemans, W.; Depypere, L.; Deroose, C.M.; Dewever, W.; Nafteux, P.; Peeters, S.; et al. Central tumour location should be considered when comparing N1 upstaging between thoracoscopic and open surgery for clinical stage I non-small-cell lung cancer. Eur. J. Cardio-Thorac. Surg. 2016, 50, 110–117. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Boffa, D.J.; Kosinski, A.S.; Paul, S.; Mitchell, J.D.; Onaitis, M. Lymph Node Evaluation by Open or Video-Assisted Approaches in 11,500 Anatomic Lung Cancer Resections. Ann. Thorac. Surg. 2012, 94, 347–353. [Google Scholar] [CrossRef] [PubMed]
  34. Osarogiagbon, R.U.; Yu, X. Nonexamination of Lymph Nodes and Survival After Resection of Non-Small Cell Lung Cancer. Ann. Thorac. Surg. 2013, 96, 1178–1189. [Google Scholar] [CrossRef]
  35. Bao, F.; Yuan, P.; Yuan, X.; Lv, X.; Wang, Z.; Hu, J. Predictive risk factors for lymph node metastasis in patients with small size non-small cell lung cancer. J. Thorac. Dis. 2014, 6, 1697–1703. [Google Scholar] [CrossRef]
  36. Miyasaka, Y.; Suzuki, K.; Takamochi, K.; Matsunaga, T.; Oh, S. The maximum standardized uptake value of fluorodeoxyglucose positron emission tomography of the primary tumour is a good predictor of pathological nodal involvement in clinical N0 non-small-cell lung cancer. Eur. J. Cardio-Thorac. Surg. 2013, 44, 83–87. [Google Scholar] [CrossRef] [Green Version]
  37. Ye, B.; Cheng, M.; Ge, X.-X.; Geng, J.-F.; Li, W.; Feng, J.; Hu, D.-Z.; Zhao, H. Factors that predict lymph node status in clinical stage T1aN0M0 lung adenocarcinomas. World J. Surg. Oncol. 2014, 12, 42. [Google Scholar] [CrossRef] [Green Version]
  38. Fukui, T.; Kato, K.; Okasaka, T.; Kawaguchi, K.; Fukumoto, K.; Nakamura, S.; Hakiri, S.; Ozeki, N.; Yokoi, K. Predictors for hilar/intrapulmonary lymph node metastasis in discrete type of clinical N1 non-small cell lung cancer. Gen. Thorac. Cardiovasc. Surg. 2017, 65, 640–645. [Google Scholar] [CrossRef]
  39. Hishida, T.; Yoshida, J.; Nishimura, M.; Nishiwaki, Y.; Nagai, K. Problems in the current diagnostic standards of clinical N1 non-small cell lung cancer. Thorax 2008, 63, 526–531. [Google Scholar] [CrossRef] [Green Version]
  40. Boada, M.; Guzmán, R.; Montesinos, M.; Libreros, A.; Guirao, A.; Sánchez-Lorente, D.; Gimferrer, J.; Agustí, A.; Molins, L. Upstaging, Centrality and Survival in Early Stage Non-Small Cell Lung Cancer Video-Assisted Surgery. Lung Cancer 2019, 134, 254–258. [Google Scholar] [CrossRef]
  41. Yang, H.-X.; Woo, K.M.; Sima, C.S.; Bains, M.S.; Adusumilli, P.S.; Huang, J.; Finley, D.J.; Rizk, N.P.; Rusch, V.; Jones, D.R.; et al. Long-term Survival Based on the Surgical Approach to Lobectomy For Clinical Stage I Nonsmall Cell Lung Cancer: Comparison of Robotic, Video-assisted Thoracic Surgery, and Thoracotomy Lobectomy. Ann. Surg. 2017, 265, 431–437. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Shagabayeva, L.; Fu, B.; Panda, N.; Potter, A.; Auchincloss, H.; Mansur, A.; Yang, C.-F.J.; Schumacher, L. Open, Video- and Robot-Assisted Thoracoscopic Lobectomy for Stage II-IIIA Non-Small Cell Lung Cancer. Ann. Thorac. Surg. 2022; in press. [Google Scholar] [CrossRef]
Figure 1. Flow chart of the study population. NSCLC: non-small cell lung cancer; RATL: robotic-assisted thoracoscopic lobectomy; VATL: video-assisted thoracoscopic lobectomy; OL: open lobectomy; and PSM: propensity score matching.
Figure 1. Flow chart of the study population. NSCLC: non-small cell lung cancer; RATL: robotic-assisted thoracoscopic lobectomy; VATL: video-assisted thoracoscopic lobectomy; OL: open lobectomy; and PSM: propensity score matching.
Cancers 14 05249 g001
Figure 2. Oncological outcomes of N1 NSCLC patients. The comparison of disease-free (A) and overall (B) survival among the RATL, VATL, and OL groups. RATL: robotic-assisted thoracoscopic lobectomy; VATL: video-assisted thoracoscopic lobectomy; and OL: open lobectomy.
Figure 2. Oncological outcomes of N1 NSCLC patients. The comparison of disease-free (A) and overall (B) survival among the RATL, VATL, and OL groups. RATL: robotic-assisted thoracoscopic lobectomy; VATL: video-assisted thoracoscopic lobectomy; and OL: open lobectomy.
Cancers 14 05249 g002
Figure 3. Subgroup analysis of oncological outcomes of N1 NSCLC patients in terms of the tumor size. The comparison of disease-free (A) and overall (B) survival for cases with a tumor size ≤ 3.0 cm. The comparison of disease-free (C) and overall (D) survival for cases with a tumor size > 3.0 cm. RATL: robot-assisted thoracoscopic lobectomy; VATL: video-assisted thoracoscopic lobectomy; and OL: open lobectomy.
Figure 3. Subgroup analysis of oncological outcomes of N1 NSCLC patients in terms of the tumor size. The comparison of disease-free (A) and overall (B) survival for cases with a tumor size ≤ 3.0 cm. The comparison of disease-free (C) and overall (D) survival for cases with a tumor size > 3.0 cm. RATL: robot-assisted thoracoscopic lobectomy; VATL: video-assisted thoracoscopic lobectomy; and OL: open lobectomy.
Cancers 14 05249 g003
Table 1. Baseline characteristics and pathologic details of unmatched patients.
Table 1. Baseline characteristics and pathologic details of unmatched patients.
VariablesRATL (n = 70)VATL (n = 435)OL (n = 350)p Value
Age (years), mean ± SD59.23 ± 10.4860.63 ± 9.2760.70 ± 8.180.621
Sex, n (%)
    Male
    Female

45 (64.29)
25 (35.71)

290 (66.67)
145 (33.33)

285 (81.43)
65 (18.57)
<0.001
Smoking status, n (%)
    Never
    Former
    Active

32 (45.71)
13 (18.57)
25 (35.71)

201 (46.21)
84 (19.31)
150 (34.48)

131 (37.43)
46 (13.14)
173 (49.43)
<0.001
BMI (kg/m2), mean ± SD24.07 ± 3.2923.88 ± 3.2223.54 ± 2.960.344
Diabetes mellitus, n (%)6 (8.57)35 (8.05)29 (8.29)0.985
Coronary artery disease, n (%)3 (4.29)15 (3.45)15 (4.29)0.817
Hypertension, n (%)17 (24.29)118 (27.13)95 (27.14)0.876
Chronic obstructive pulmonary disease, n (%)1 (1.43)14 (3.22)19 (5.43)0.142
FEV1 (% of predicted), mean ± SD92.79 ± 12.8390.16 ± 16.2590.98 ± 16.720.464
DLCO (% of predicted), mean ± SD97.10 ± 17.4097.11 ± 20.8697.72 ± 18.760.752
History of malignancy, n (%)1 (1.43)5 (1.15)4 (1.14)0.978
Tumor location, n (%)
    Right upper lobe
    Right middle lobe
    Right lower lobe
    Left upper lobe
    Left lower lobe

16 (22.86)
11 (15.71)
20 (28.57)
7 (10.00)
16 (22.86)

111 (25.52)
40 (9.20)
92 (21.15)
110 (25.29)
82 (18.85)

96 (27.43)
39 (11.14)
65 (18.57)
85 (24.29)
65 (18.57)
0.118
Histology, n (%)
    Adenocarcinoma
    Squamous cell
    Mixed/large cell/others

57 (81.43)
9 (12.86)
4 (5.71)

335 (77.01)
74 (17.01)
26 (5.98)

123 (35.14)
207 (59.14)
20 (5.71)
<0.001
Tumor size (cm), mean ± SD3.07 ± 1.033.07 ± 1.424.65 ± 1.91<0.001
Visceral pleural invasion, n (%)22 (31.43)153 (35.17)106 (30.29)0.334
Pathological T stage, n (%)
    T1
    T2
    T3
    T4

18 (25.71)
40 (57.14)
10 (14.29)
2 (2.86)

127 (29.20)
228 (52.41)
70 (16.09)
10 (2.30)

64 (18.29)
167 (47.71)
79 (22.57)
40 (11.43)
<0.001
Pathological TNM stage, n (%)
    Stage IIB
    Stage IIIA

58 (82.86)
12 (17.14)

357 (82.07)
78 (17.93)

231 (66.00)
119 (34.00)
<0.001
Clinical N stage, n (%)
    N0
    N1
    N2

48 (68.57)
16 (22.86)
6 (8.57)

259 (59.54)
117 (26.90)
59 (13.56)

198 (56.57)
88 (25.14)
64 (18.29)
0.138
Adjuvant therapy, n (%)
    Chemotherapy
    Chemoradiotherapy
    Others a
    None

58 (82.86)
4 (5.71)
3 (4.29)
5 (7.14)

340 (78.16)
29 (6.67)
31 (7.13)
35 (8.05)

290 (82.86)
23 (6.57)
11 (3.14)
26 (7.43)
0.350
Categorical variables are expressed in a number (percentage), and continuous variables are shown as mean ± SD. a: immunotherapy or target therapy; RATL: robotic-assisted thoracoscopic lobectomy; VATL: video-assisted thoracoscopic lobectomy; OL: open lobectomy; BMI: body mass index; FEV1: forced expiratory volume in 1 s; and DLCO: diffusing capacity for carbon monoxide.
Table 2. Baseline characteristics and pathologic details of matched patients.
Table 2. Baseline characteristics and pathologic details of matched patients.
VariablesRATL (n = 70)VATL (n = 140)OL (n = 140)p Value
Age (years), mean ± SD59.23 ± 10.4859.67 ± 9.4959.30 ± 8.660.986
Sex, n (%)
    Male
    Female

45 (64.29)
25 (35.71)

85 (60.71)
55 (39.29)

91 (65.00)
49 (35.00)
0.740
Smoking status, n (%)
    Never
    Former
    Active

32 (45.71)
13 (18.57)
25 (35.71)

68 (48.57)
21 (15.00)
51 (36.43)

63 (45.00)
22 (15.71)
55 (39.29)
0.937
BMI (kg/m2), mean ± SD24.07 ± 3.2924.31 ± 3.0823.68 ± 2.890.426
Diabetes mellitus, n (%)6 (8.57)14 (10.00)11 (7.86)0.816
Coronary artery disease, n (%)3 (4.29)4 (2.86)7 (5.00)0.682
Hypertension, n (%)17 (24.29)38 (27.14)39 (27.86)0.855
Chronic obstructive pulmonary disease, n (%)1 (1.43)4 (2.86)5 (3.57)0.780
FEV1 (% of predicted), mean ± SD92.79 ± 12.8390.96 ± 15.1694.99 ± 15.500.396
DLCO (% of predicted), mean ± SD97.10 ± 17.4097.26 ± 19.8797.68 ± 16.990.637
History of malignancy, n (%)1 (1.43)2 (1.43)1 (0.71)1.000
Tumor location, n (%)
    Right upper lobe
    Right middle lobe
    Right lower lobe
    Left upper lobe
    Left lower lobe

16 (22.86)
11 (15.71)
20 (28.57)
7 (10.00)
16 (22.86)

29 (20.71)
18 (12.86)
28 (20.00)
29 (20.71)
36 (25.71)

35 (25.00)
27 (19.29)
28 (20.00)
19 (13.57)
31 (22.14)
0.363
Histology, n (%)
    Adenocarcinoma
    Squamous cell
    Mixed/large cell/others

57 (81.43)
9 (12.86)
4 (5.71)

118 (84.29)
16 (11.43)
6 (4.29)

103 (73.57)
29 (20.71)
8 (5.71)
0.228
Tumor size (cm), mean ± SD3.07 ± 1.033.02 ± 1.013.16 ± 1.090.407
Visceral pleural invasion, n (%)22 (31.43)39 (27.86)34 (24.29)0.531
Pathological T stage, n (%)
    T1
    T2
    T3
    T4

18 (25.71)
40 (57.14)
10 (14.29)
2 (2.86)

40 (28.57)
75 (53.57)
22 (15.71)
3 (2.14)

36 (25.71)
73 (52.14)
26 (18.57)
5 (3.57)
0.957
Pathological TNM stage, n (%)
    Stage IIB
    Stage IIIA

58 (82.86)
12 (17.14)

115 (82.14)
25 (17.86)

113 (80.71)
27 (19.29)
0.918
Clinical N stage, n (%)
    N0
    N1
    N2

48 (68.57)
16 (22.86)
6 (8.57)

76 (54.29)
47 (33.57)
17 (12.14)

94 (67.14)
31 (22.14)
15 (10.71)
0.142
Adjuvant therapy, n (%)
    Chemotherapy
    Chemoradiotherapy
    Others a
    None

58 (82.86)
4 (5.71)
3 (4.29)
5 (7.14)

110 (78.57)
12 (8.57)
6 (4.29)
12 (8.57)

113 (80.71)
9 (6.43)
5 (3.57)
13 (9.29)
0.985
Categorical variables are expressed as number (percentage), and continuous variables are shown as mean ± SD. a: immunotherapy or target therapy; RATL: robotic-assisted thoracoscopic lobectomy; VATL: video-assisted thoracoscopic lobectomy; OL: open lobectomy; BMI: body mass index; FEV1: forced expiratory volume in 1 s; and DLCO: diffusing capacity for carbon monoxide.
Table 3. Perioperative outcomes.
Table 3. Perioperative outcomes.
CharacteristicsRATL
(n = 70)
VATL
(n = 140)
OL
(n = 140)
p ValueRATL vs. VATL aRATL vs. OL b
Resection margin, n (%)
    R0 c
    R1 d
    R2 e

68 (97.14)
2 (2.86)
0 (0.00)

132 (94.29)
8 (5.71)
0 (0.00)

128 (91.43)
9 (6.43)
3 (2.14)
0.330>0.050>0.050
Reoperation, n (%)1 (1.43)4 (2.86)5 (3.57)0.780>0.050>0.050
Surgical time (mins), mean ± SD 93.37 ± 35.85105.53 ± 32.33102.84 ± 35.110.0050.0030.085
Intraoperative Blood loss, n (%)
    ≤100 mL
    >100 mL

60 (85.71)
10 (14.29)

117 (83.57)
23 (16.43)

79 (56.43)
61 (43.57)
<0.001
>0.050<0.050
Intraoperative blood transfusion, n (%)1 (1.43)1 (0.71)3 (2.14)0.844>0.050>0.050
ICU stay (days), median(range)0(0–2)0(0–5)1(0–11)<0.0010.394<0.001
Chest tube drainage, median(range)
    Duration (days)
    Volume (mL)

4(1–17)
800(220–1590)

4(2–25)
775(200–2800)

5(2–23)
800(220–2500)

<0.001
0.967

1.000
1.000

<0.001
1.000
Postsurgical stay (days), median(range)5(2–18)5(2–27)6(2–28)<0.0010.139<0.001
Postsurgical complications, n (%)7 (10.00)20 (14.29)34 (24.29)0.016>0.050<0.050
Pneumonia requiring antibiotics3 (4.29)4 (2.86)10 (7.14)0.230>0.050>0.050
Bronchopleural fistula0 (0.00)1 (0.71)3 (2.14)0.536--
Atrial fibrillation0 (0.00)0 (0.00)2 (1.43)0.358--
Recurrent laryngeal nerve injury0 (0.00)1 (0.71)1 (0.71)1.000--
Hemorrhage requiring intervention1 (1.43)2 (1.43)3 (2.14)1.000>0.050>0.050
Prolonged air leak > 5 days5 (7.14)12 (8.57)18 (12.86)0.329>0.050>0.050
Chylothorax1 (1.43)2 (1.43)3 (2.14)1.000>0.050>0.050
Pyothorax0 (0.00)0 (0.00)1 (0.71)1.000--
Subcutaneous emphysema4 (5.71)10 (7.14)8 (5.71)0.884>0.050>0.050
Wound infection1 (1.43)1 (0.71)2 (1.43)1.000>0.050>0.050
ARDS0 (0.00)1 (0.71)1 (0.71)1.000--
Chest tube reinsertion1 (1.43)1 (0.71)2 (1.43)1.000>0.050>0.050
In-hospital mortality0 (0.00)0 (0.00)0 (0.00)---
Readmission0 (0.00)1 (0.71)2 (1.43)0.806--
30 d mortality0 (0.00)0 (0.00)0 (0.00)---
Categorical variables are expressed as number (percentage), and continuous variables are shown as mean ± SD or median(range). a: Adjusted p value of multiple comparisons between the RATL and VATL group; b: adjusted p value of multiple comparisons between the RATL and OL group; c: no residual tumor; d: residual microscopic tumor; and e: residual macroscopic tumor. RATL: robotic-assisted thoracoscopic lobectomy; VATL: video-assisted thoracoscopic lobectomy; OL: open lobectomy; and ARDS: acute respiratory distress syndrome.
Table 4. LNs assessment.
Table 4. LNs assessment.
VariablesRATL
(n = 70)
VATL
(n = 140)
OL
(n = 140)
p ValueRATL
vs. VATL a
RATL vs. OL b
N1 LNs dissected
    Overall count, mean ± SD
    Positive count, mean ± SD

7.01 ± 1.77
1.84 ± 1.36

6.21 ± 2.30
1.76 ± 1.03

7.19 ± 3.41
1.89 ± 1.02

0.013
0.363

0.027
1.000

1.000
0.473
Number of #10 LNs dissected
    Frequency assessed, n (%)
    Overall count, mean ± SD
    Positive count, mean ± SD

62 (88.57)
1.97 ± 1.22
0.37 ± 0.81

116 (82.86)
1.68 ± 1.18
0.34 ± 0.52

124 (88.57)
2.04 ± 1.46
0.39 ± 0.61

0.314
0.078
0.369

>0.050
0.220
0.804

>0.050
1.000
0.493
Number of #11 LNs dissected
    Frequency assessed, n (%)
    Overall count, mean ± SD
    Positive count, mean ± SD

67 (95.71)
2.53 ± 1.24
0.46 ± 0.76

128 (91.43)
2.35 ± 1.31
0.43 ± 0.62

134 (95.71)
2.61 ± 1.70
0.54 ± 0.53

0.326
0.553
0.286

>0.050
0.916
0.947

>0.050
1.000
0.610
Number of #12 LNs dissected
    Frequency assessed, n (%)
    Overall count, mean ± SD
    Positive count, mean ± SD

60 (85.71)
2.51 ± 1.67
1.01 ± 1.35

107 (76.43)
2.19 ± 1.81
0.99 ± 0.90

119 (85.00)
2.54 ± 2.17
0.96 ± 1.00

0.130
0.248
0.567

>0.050
0.318
0.917

>0.050
1.000
1.000
N1 stations dissected
    Overall count, mean ± SD

2.70 ± 0.49

2.62 ± 0.56

2.69 ± 0.49

0.521

1.000

1.000
    Positive count, mean ± SD1.26 ± 0.441.29 ± 0.481.31 ± 0.580.9621.0001.000
N2 LNs count8.83 ± 4.097.88 ± 3.308.86 ± 4.180.2250.6451.000
N2 stations count, mean ± SD3.71 ± 1.023.61 ± 1.043.72 ± 1.150.5561.0001.000
N1 + N2 LNs count, mean ± SD15.84 ± 4.4914.09 ± 4.0916.05 ± 5.170.0010.0270.950
N1 + N2 stations count, mean ± SD6.41 ± 1.106.23 ± 1.196.41 ± 1.190.3670.9531.000
Postoperative upstaging (cN0-pN1), n (%)48 (68.57)76 (54.29)94 (67.14)0.040<0.050>0.050
Categorical variables are expressed as number (percentage), and continuous variables are shown as mean ± SD. a: Adjusted p value of multiple comparisons between the RATL and VATL groups and b: adjusted p value of multiple comparisons between the RATL and OL group. RATL: robotic-assisted thoracoscopic lobectomy; VATL: video-assisted thoracoscopic lobectomy; OL: open lobectomy; and LNs: lymph nodes.
Table 5. Multivariate Cox regression model analysis for oncological outcomes.
Table 5. Multivariate Cox regression model analysis for oncological outcomes.
Predictors of SurvivalDisease-Free SurvivalOverall Survival
p ValueHazard Ratio95% CI p ValueHazard Ratio95% CI
Surgical type (RATL vs. others)0.9701.0080.645–1.5760.5770.8550.492–1.485
Age (<60 vs. ≥60 years)0.4840.8880.636–1.2390.5020.8620.559–1.329
Smoking history (yes vs. no)0.7820.9540.685–1.3300.5071.1550.755–1.766
Sex (male vs. female)0.4340.8700.613–1.2340.6830.9110.582–1.426
Histologic subtype (ADC vs. SCC)0.3861.4990.600–3.7430.5161.4800.453–4.836
Tumor size (≤3 vs. >3 cm)0.6380.9230.661–1.2890.8790.9670.628–1.488
Visceral pleural invasion (yes vs. no)0.0580.7140.504–1.0120.3250.7960.506–1.253
Number of positive LNs (1 vs. >1)<0.0010.2680.184–0.390<0.0010.3680.232–0.582
Adjuvant therapy (yes vs. no)0.0120.5200.312–0.8670.0030.4050.225–0.731
CI: confidence interval; RATL: robot-assisted thoracoscopic surgery; SCC: squamous cell carcinoma; and ADC: adenocarcinoma.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Pan, H.; Tian, Y.; Wang, H.; Jiang, L.; Gu, Z.; Zhu, H.; Ning, J.; Huang, J.; Luo, Q. Perioperative and Oncological Outcomes of Robotic-Assisted, Video-Assisted Thoracoscopic and Open Lobectomy for Patients with N1-Metastatic Non-Small Cell Lung Cancer: A Propensity Score-Matched Study. Cancers 2022, 14, 5249. https://doi.org/10.3390/cancers14215249

AMA Style

Pan H, Tian Y, Wang H, Jiang L, Gu Z, Zhu H, Ning J, Huang J, Luo Q. Perioperative and Oncological Outcomes of Robotic-Assisted, Video-Assisted Thoracoscopic and Open Lobectomy for Patients with N1-Metastatic Non-Small Cell Lung Cancer: A Propensity Score-Matched Study. Cancers. 2022; 14(21):5249. https://doi.org/10.3390/cancers14215249

Chicago/Turabian Style

Pan, Hanbo, Yu Tian, Hui Wang, Long Jiang, Zenan Gu, Hongda Zhu, Junwei Ning, Jia Huang, and Qingquan Luo. 2022. "Perioperative and Oncological Outcomes of Robotic-Assisted, Video-Assisted Thoracoscopic and Open Lobectomy for Patients with N1-Metastatic Non-Small Cell Lung Cancer: A Propensity Score-Matched Study" Cancers 14, no. 21: 5249. https://doi.org/10.3390/cancers14215249

APA Style

Pan, H., Tian, Y., Wang, H., Jiang, L., Gu, Z., Zhu, H., Ning, J., Huang, J., & Luo, Q. (2022). Perioperative and Oncological Outcomes of Robotic-Assisted, Video-Assisted Thoracoscopic and Open Lobectomy for Patients with N1-Metastatic Non-Small Cell Lung Cancer: A Propensity Score-Matched Study. Cancers, 14(21), 5249. https://doi.org/10.3390/cancers14215249

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop