Nodal management and upstaging of disease: initial results from the Italian VATS Lobectomy Registry
Introduction
VATS lobectomy has recently gained acceptance as the ideal treatment for early stage non-small cell lung cancer (NSCLC) (1). The short- and long-term results are comparable or superior to those of open pulmonary lobectomy. Patients’ benefits include less pain, an earlier hospital discharge, and an improved ability to tolerate adjuvant treatments (2,3).
The overall and disease-free survival of patients undergoing lung resection is related to the final pathological nodal stage of disease. Provided an appropriate intra-operative lymph node (LN) management, the absence of nodal metastases correlates with improved survival (4,5).
Different LN resection strategies have been suggested. Complete dissection of all hilar and mediastinal lymph-nodes (CD) and systematic sampling (SS) of pre-determinate nodal stations (SS) are the two most frequent approaches. CD refers to the removal of all the lymphatic and fatty tissue within specific anatomic landmarks; SS refers to the retrieval of one or more sample nodes from each identified station (6).
The interpretation of the role of both CD and SS may present a significant bias, considering that both techniques vary on the surgeon’s practice and are very difficult to define quantitatively. Therefore, it is difficult to measure the risk and benefits of one or the other strategy.
Other approaches for the evaluation of LN management during lung resection include the number of resected LN, the LN ratio (LNR), the number of resected LN stations, and nodal upstaging (7-11).
Nodal upstaging, defined as the finding of a higher N value on the final pathologic specimen compared to the pre-operative clinical N, has been identified as a viable predictor of the adequacy of nodal management and, indirectly, as a surrogate for the identification of patients who are at risk of survival (12).
The possibility to perform an adequate LN resection during VATS lobectomy compared to open lobectomy has been extensively demonstrated (13-15).
Large, prospective, multi-institutional VATS lobectomy series from cancer databases may lack adequate information on intra-operative nodal management. More consistent and detailed data on intra-operative LN management may be available from retrospective, single center experiences, with the limitation of smaller datasets.
In January 2014, a multi-institutional collaborative project was initiated in Italy between accredited thoracic surgery programs, with the aim of prospectively collecting data from VATS lobectomy operations. Specific data on the management of LN during surgery was included in the database and has now become available for analysis.
The availability of a large bulk of detailed information on LN management during VATS lobectomy has prompted us to analyze the impact of different nodal resection strategies and to assess if one or more predictors of an adequate LN management could be identified in our population.
Methods
The Italian VATS Group registry database contains prospectively collected data on VATS lobectomies performed since January 1st, 2014 across 56 Italian certified thoracic surgery centers. All VATS lobectomies included in the database between 1/1/2014 and 10/21/2016 were considered for the analysis. Patients’ records included age, sex, Charlson and Eastern Cooperative Oncology Group (ECOG) comorbidity score (16,17), and the technique of VATS lobectomy. The pre-operative clinical stage was determined based on the results of pre-operative CT scan, PET scan, mediastinoscopy, and endoscopic bronchial or esophageal ultrasound (EBUS, EUS). The final post-operative pathology report was available for all patients. The type of surgical technique used for the intra-operative management of hilar and mediastinal nodes was recorded (complete dissection or SS). Specific data on intra-operative LN management was also recorded, including the number of LN resected (RN), the number of positive LN, and the number and type of positive LN stations (LNS). A LNR (number of positive LN/number of LN resected) (LNR) was also calculated from the dataset.
The complication rates and early (30- and 90-day) survival were also analyzed. Complications were recorded according to the Dindo (18) classification and analyzed using a multivariate model to assess the impact of LN-related variables.
Given the relatively short follow/up time, long-term overall and disease-free survival figures were not available yet for this population. Nodal upstaging was used as a predictor of the efficacy of intra-operative LN management and was the main outcome variable of the study. N0-to-N1, N0-to-N2, and N1-to-N2 upstaging was recorded and analyzed.
The aim of the study was to identify the intra-operative LN management strategy showing the best correlation with nodal upstaging. CD was compared with SS and with a quantitative assessment of the number of LNR, LNS, type of positive stations and LNR.
In order to summarize the most relevant features of the clinical variables, descriptive statistics were performed. Categorical variables are presented using the distribution of absolute frequencies (percentages and cumulative); continuous variables are presented as mean, standard deviation, median, max, min, and range. Data from the Italian VATS Group registry was retrieved using a specific query tool on 10/21/2016. The study was peer-reviewed and approved by the Italian VATS Group scientific advisory board. All the patients included in the prospective collection of data within the Italian VATS group study had signed an informed consent and the VATS group registry database project underwent approval by the IRRB of each participating center.
Continuous variables were reported as the mean ± standard deviation, whereas categorical variables were given as percentages. Fisher’s exact tests were used to compare dichotomous data, and Pearson’s χ2 for categorical variables. Proportional hazards assumptions were analytically assessed using Schoenfeld residuals. Violations were addressed by the inclusion of time-varying co-variable. Univariate Logistic Regression was performed to evaluate any association between dependent and independent variables. ROC analysis was performed to assess cut-off points that provided the best discriminating capacity for quantitative parameters. To overcome the over-dispersion caused by a Generalized Linear Model (GLM) with Poisson distribution we used a GLM with negative binomial distribution for LN count and for positive stations count. A fractional model was used for the N1 and N2 ratio variables. A two tailed P value below 0.05 was considered significant. Statistical analysis was performed using SAS 9.4 (SAS Institute Inc., Cary, NC, USA) and STATA package version 14 (STATA Corp LP, College, TX).
All the patients gave informed consent for participation to the study. The study was approved by the Ismett Institutional Research Review Board (IRRB) with the ID number IRRB/39/14.
Results
Within the above-mentioned time frame, 3,219 cases of VATS lobectomy were enrolled in the database. 58% of the patients were males and 42% were females. The mean age at the time of the operation was 67.6±9.02 years (range: 18–89 years). The average patient Charlson and ECOG comorbidity scores were 4.40±1.82 (range: 0–15) and 0.27±0.52 (range: 0–4), respectively. An “anterior” (biportal or triportal) surgical approach was used for VATS lobectomy in 85.38% of the cases. Other approaches (posterior, lateral, totally endoscopic, uniportal) were used in the remaining 14.62% of cases. An upper lobectomy was the most frequent operation performed (56.2% of all cases) and the right side was more frequently operated than the left (61.4% vs. 38.6% of the cases). Most of the cases had a diagnosis of adenocarcinoma (73.5%) or squamous cell carcinoma (15.3%) of the lung.
Ninety eight VATS lobectomies performed for benign disease and 233 vats lobectomies performed for malignant disease other than “non-small cell lung cancer” (NSCLC) were excluded from the analysis. Also, patients who underwent neo-adjuvant treatment (N=94) and patients who required conversion from VATS to thoracotomy (N=298) were excluded from the analysis, in order to avoid possible confounders.
Based on the pre-operative CT scan assessment, 2,423 patients had early stage, clinical stage I or stage II NSCLC. 2,360 patients had a clinical evidence of N0 disease (97.4%) while 63 had N1 disease (2.6%). A pre-operative PET scan was available in 2,216 NSCLC patients (91.4%), while pre-operative invasive staging of the LN (mediastinoscopy, EBUS or EUS) was performed in 86 patients (3.5%).
668 patients underwent intra-operative SS (27.7%) and 1743 complete dissection (72.3%) of all hilar and mediastinal LN. An average of 6.23±4.15 N1 LN (range: 0–35) and 7.18±5.55 N2 LN (range: 0–49) were resected during surgery (Table 1). The average ratio of positive/resected LN was 0.04 for N1 LN and 0.02 for N2 LN. The average number of positive LN stations was 1.63±0.98 (range: 1–7): 1.22±0.45 N1 (range: 1–3) and 1.34±0.64 N2 (range: 1–5).
Full table
Overall, nodal upstaging occurred in 292 (12.05%) patients. N0-to-N1 nodal upstaging occurred in 146 cases (6.03%), N0-to-N2 in 132 cases (5.45%). N1-to-N2 upstaging was observed in 14 cases (0.58%) (Table 2).
Full table
Patients undergoing complete dissection had, in average, more N1 LN resected (6.56 vs. 5.38, P<0.001), but a similar N1 LNR (0.04 vs. 0.03; P=0.151) compared to patients undergoing SS.
Patients undergoing CD had also more N2 LN resected (7.93 vs. 5.24, P<0.001) and a slightly higher N2 LNR (0.03 vs. 0.02; P=0.024) compared to patients undergoing SS.
The average number of positive LN stations was 1.68 in patients undergoing CD vs. 1.48 in patients undergoing SS (P=0.170). There was no statistically significant difference in the number of positive N1 and N2 retrieved LN stations between patients undergoing CD or SS (1.24 vs. 1.16 and 1.37 vs. 1.21, respectively; P=0.634 and 0.523).
After univariate analysis, no difference could be appreciated in the rate of N0-to-N1 and N0-to-N2 upstaging based solely on the type of surgical technique used for the intraoperative management of LN (CD or SS). The N0-to-N1 upstaging rate was 5.9% in patients undergoing CD vs. 6.4% in patients undergoing SS (P=0.627). The N0-to-N2 upstaging rate was 5.9% in patients undergoing CD vs. 4.2% in patients undergoing SS (P=0.086). N1-to-N2 upstaging was observed exclusively in patients undergoing CD (19 patients) (Table 2).
On logistic regression, the overall number of resected nodes was related with both N0-to-N1 (OR =1.02, CI, 1.01–1.04; P=0.03) and N0-to-N2 upstaging (OR =1.03; CI, 1.01–1.05; P=0.001) (Table 3). The ROC analysis showed that resection of 12 nodes was the best predictor of N1 upstaging with an Area under the curve (AUC) of ROC of 0.56 (N0-to-N2), while 11 nodes was the best predictor of N0-to-N2 upstaging with an AUC-ROC of 0.59.
Full table
The number of resected N1 nodes correlated with N0-to-N1 upstaging (OR =1.07; CI, 1.04–1.11, P<0.001) but not with N0-to-N2 (OR =1.02; CI, 0.98–1.06; P=0.282) nor N1-to-N2 (OR =0.99; CI, 0.87–1.13; P=0.944) upstaging. Resection of 6 N1 nodes had the best discriminatory performance to predict N0-to-N1 upstaging, with an AUC-ROC of 0.63.
The number of resected N2 nodes correlated with N0-to-N2 (OR =1.05; CI, 1.02–1.07, p<0.001) and N1-to-N2 upstaging (OR =1.07; CI, 1.02–1.14; P=0.008) but not with N0-to-N1 upstaging (OR =0.99; CI, 0.96–1.02; P=0.665). Resection of 7 N2 nodes had the best discriminatory performance to predict N0-to-N2 upstaging, with an AUC-ROC of 0.60.
The number of positive nodal stations was correlated with N0-to-N1, N0-to-N2 and N1-to N2 upstaging, with an OR of 3.01, 13.81, and 3.57, respectively. The best discriminatory performance to predict N0-to-N1 upstaging was the finding of 1 positive LN node station (AUC-ROC =0.94). The best discriminatory performance to predict N0-to-N2 and N1-to-N2 upstaging was the finding of two positive LN stations (AUC-ROC =0.98 and 0.97, respectively, Figure 1).
The number of positive N1 LNS had also significant correlation with N0-to-N2 (OR = 6.83, AUC =0.75, P<0.001) and N1-to-N2 (OR = 7.49, AUC =0.83, P<0.001).
An analysis of each single positive LN station resected was also performed to assess any potential relationship with nodal upstaging. Each single positive N1 station correlated well with N1 upstaging and each single positive N1 and N2 stations correlated well with N2 upstaging. We were not able to find any role for one single LN station in predicting the rates of upstaging.
Interestingly, the preoperative T staging did not correlate with any upstaging. The final, pathologic T stage instead was a significant predictor of both N0-to-N1 (T2) and N0-to-N2 (T2-T3-T4) upstaging (Table 4).
Full table
To assess the influence of different pre-operative staging methods on the results of intraoperative LN management, we applied the model of the study to the sub-population of patients who received both a pre-operative CT scan and PET scan (N=2,216). Both the overall and specific (N1 or N2) upstaging rates were similar to the figures of the population who received staging with a CT scan only.
The occurrence of some complications after VATS lobectomy in some cases could be related to the modality of lymph-node management (Table 5). The number of resected LN correlated significantly with the occurrence of atrial fibrillation, pneumonia, chylothorax and phrenic nerve injury. Postoperative hemothorax was more frequent in patients with N0-to-N1 upstage, higher N1 LN rate, higher number of LN stations.
Full table
Discussion
The optimal intra-operative nodal management during lobectomy for early stage NSCLC has been debated for decades. The importance of obtaining nodes for pathologic examination relies on the fact that the final pathologic N stage is strictly related to overall and disease-free survival.
Darling et al. explored the differences between CD and SS during lobectomy (6). The study suggested similar outcomes between the two approaches, and justified the use of SS as a less invasive but oncologically equivalent strategy for the intra-operative management of LN. In this study, including an intraoperative LN frozen section before randomization may have not reflected the standard clinical practice, as noted by Cerfolio (19).
Criticism to this type of analysis led to introducing more quantitatively reliable parameters for the assessment of LN resection during lobectomy.
Zhou and colleagues retrospectively reviewed the results of a single-center experience on 493 patients with early stage lung cancer undergoing VATS lobectomy or segmentectomy (20). They were able to show that sampling greater than 3 LN stations and greater than 10 LN was associated with an increase in nodal upstaging, and that sampling 3 or more LN stations was an independent predictor of mortality. These results suggest the feasibility of using a measurable intra-operative LN resection strategy. The study had the limitation of including both lobectomies and segmentectomies, of being a single-center series and of limiting the analysis to less than 500 patients.
Several authors have criticized a “quantitative” approach to the assessment of intraoperative LN management, mostly because of the inter-personal variability of the number of nodes. Riquet and colleagues (21) reviewed data from 1,095 patients across two French centers and recognized a great variability of the number of nodes retrieved during lung resections, following a “Gaussian” distribution. They did not find any correlation between the number of resected nodes and patients’ outcome, and therefore strived the importance of resecting all the hilar and mediastinal nodal stations. The study included patients undergoing different types of lung resections, at all stages of disease.
Another pitfall of a quantitative assessment of LN resection is the variability of the pathologic evaluation of the number of nodes resected. Fragments of LN may be recorded as whole LN and the pathologist’s assessment may not be uniform across different institutions.
VATS has been recognized as an established surgical technique for the treatment of early stage lung cancer. The oncological outcomes of VATS lobectomy have been shown to be equal or superior to those of open lobectomy. The VATS approach has the advantage of less postoperative pain, faster post-operative patient recovery and discharge home, and a faster access to post-operative adjuvant treatments in case these are needed (2,3). Several studies have shown the feasibility and safety of an adequate LN resection using all VATS lobectomy techniques (13-15).
In Italy, in 2014, a large collaborative study on VATS lobectomy (“VATS Group”) was established and a prospective, multi-centric database was started. In our study, we identified a large population of patients with clinical early-stage NSCLC with a considerable amount of information on the management of LN, although lacking survival rates.
Most of the patients had a pre-operative CT scan and PET scan (90.7%). Only a minority of the patients had an invasive LN staging, either mediastinoscopy, EBUS or EUS. The availability of the PET scan for most patients with early-stage disease justify these findings. Also, the VATS Group recommends following the ESTS guidelines (22), suggesting invasive LN staging in tumors larger than 3 cm, centrally located or with positive PET findings.
For most of the cases, the surgeon reported performing a complete nodal dissection (72.1%). This finding is also consistent with a broad acceptance and application of the European guidelines.
The average number of nodes retrieved during surgery matched those of other similar series in the literature: in average, 6.23 N1 and 7.18 N2 nodes were retrieved.
The nodal upstaging rate of 12.06% was slightly similar to the results of other studies. Licht et al. reported nodal upstaging in 11.9% of patients in their report from the Danish VATS lobectomy registry including 717 patients with stage I NSCLC (12). Boffa and colleagues reported an upstaging rate of 11.6% in a retrospective analysis of the STS database on 4,394 patients (14).
Our rates of nodal upstaging compare well with the rates reported from other large multicenter databases such as the National Cancer Database (12.8% for open lobectomies vs. 10.3 for VATS). Medbery and colleagues suggested that the lower upstaging rates observed for VATS cases might result from non-academic or non-research thoracic surgery divisions (23). Our database might be a source for further assessment of the relationship between surgeon’s experience and accuracy of lymphadenectomy, by using specific and dedicated tools.
The report of very low upstaging rates for VATS lobectomy (down to 4.8%), such as in the study by Martin et al. (24), who reviewed a state cancer database from Kentucky, might hold a significant selection bias and give an altered perception of the role of VATS and on the adequacy of VATS lobectomy as a reliable oncologic procedure. Given the difficulty to collect adequate data on this topic, the relevance of the results obtained from a dedicated, multi-centric database such as the VATS Group registry should be further emphasized.
As expected, patients undergoing CD had a statistically significant higher number of LN resected compared to those undergoing SS, both N1 (6.61 vs. 5.38,) and N2 (7.93 vs. 5.24). Nevertheless, this finding translated into an equal LNR for N1 nodes and only in a minimally higher LNR for N2 nodes. Similarly, the number of positive LNS was not statistically different between the CD and SS group.
The above findings are further supported by the fact that, in our series, the nodal upstaging rates were not significantly different between patients undergoing CD or SS, suggesting no evident benefit for one or the other approach.
On the other side, we were able to correlate the rates of nodal upstaging to the number of LN resected (both N1 and N2). N1 and N2 upstaging were more frequent in patients who had 12 or more LN resected, as indicated by the ROC-AUC analysis. Resection of ≥6 N1 or ≥7 N2 nodes was the threshold to obtain significant correlation with N0-to-N1 or N0-to-N2 upstaging, respectively. These figures strongly suggest that it may possible to discriminate between patients who will have nodal upstaging based on the number of resected LN, independently from the surgical technique. It is our expectation that, with the availability of more data, despite interpersonal variability, it may be eventually possible to set a minimum number of nodes to be resected to prevent inadequate staging.
Although our database lacked information about the number of LN stations resected, we had the opportunity to examine the number of positive LN stations resected. In general, the finding of at least one positive nodal station could predict N0-to-N1 upstaging, while the finding of at least two positive nodal stations was correlated to N0-to-N2 upstaging (OR =3.01 and 13.8, P<0.0001). More interestingly, positive N1 nodal stations correlated with N0-to-N2 and N1-to-N2 upstaging. This may suggest that, during surgery, the presence of suspicious N1 nodes should mandate an aggressive N2 dissection in order to obtain an adequate nodal resection and staging.
We were interested in assessing if one specific positive LN station correlated with nodal upstaging, but this phenomenon was not observed in our series. Resecting one specific LN station cannot therefore be used as a viable tool to guide the intraoperative resection of LN.
Restricting the analysis to patients undergoing a more aggressive pre-operative staging didn’t change the figures of nodal upstaging. These findings suggest that CT/PET allows in most cases a reasonable pre-operative staging in a selected population of patients with stage I–II NSCLC.
The role of tumor size and location is also reported to play a significant role in the nodal upstaging rates in many papers comparing open and VATS lobectomy, as pointed out by Kocher et al. (25). In our VATS series, the proportion of T2 and T3 lesions was very small, as expected. Nevertheless, on logistic regression we could find a significant correlation between larger lesions and the N0-to-N1 (T3) and N0-to-N2 (T1, 2, 3) upstaging rates. This observation seems to justify the role of VATS lymph-node resections even for larger and centrally located lesions.
Some complications of VATS lobectomy could be related to specific approaches to lymph-node resection. While performing lymph-node dissection during lobectomy, the surgeon should be aware about the risk of complications such as atrial fibrillation, pneumonia, chylothorax, hemothorax and nerve injury. This study was not focused on the analysis of complications and further work is desirable on this topic.
As already mentioned, the study has some limitations. Due to the short follow-up period, survival rates were not yet available for this population. Nodal upstaging was used as a surrogate marker of the adequacy of intraoperative LN treatment and, indirectly, of the outcome of patients.
The possibility of sampling errors during the pathologic examination of the specimens may account for possible bias in assessing the number of nodes resected. Standardization or centralization of the pathology examination would improve the accuracy of the analysis.
In conclusion, we examined a large dataset of VATS lobectomies with specific data on intra-operative LN management. Our study compared the impact of different intraoperative approaches (CD/SS) to a more quantitative assessment of LN resected.
Performing CD or SS did not impact “per se” on the rates of nodal upstaging. Resecting a minimal number of nodes (12 overall or 6/7 for individual N1 or N2 levels) seems a promising approach to optimize the chances that nodal upstaging is not missed. Finding obviously pathologic LN stations during dissection should prompt at a more aggressive dissection due to the increased probability of upstaging. The availability of survival figures is needed to confirm the suggested findings.
Acknowledgements
None.
Footnote
Conflicts of Interest: The authors have no conflicts of interest to declare.
Ethical Statement: All the patients gave informed consent for participation to the study. The study was approved by the Ismett Institutional Research Review Board (IRRB) with the ID number IRRB/39/14.
*, List of collaborators of the Italian VATS Group: Carlo Curcio, MD (Monaldi Hospital, Napoli); Dario Amore, MD (Monaldi Hospital, Napoli); Giuseppe Marulli, MD (University of Padova); Samuele Nicotra, MD (University of Padova); Andrea De Negri, MD (San Martino Hospital, Genova); Paola Maineri, MD (San Martino Hospital, Genova); Gaetano di Rienzo (Vito Fazzi Hospital, Lecce); Camillo Lopez, MD (Vito Fazzi Hospital, Lecce); Angelo Morelli, MD (S. Maria delle Misericordia Hospital, Udine); Francesco Londero, MD (S. Maria delle Misericordia Hospital, Udine); Lorenzo Spaggiari, MD (IEO Hospital, Milano); Roberto Gasparri, MD (IEO Hospital, Milano); Guido Baietto, MD (Maggiore della Carità Hospital, Novara); Caterina Casadio, MD (Maggiore della Carità Hospital, Novara); Maurizio Infante, MD (Borgo Trento Hospital, Verona); Cristiano Benato, MD (Borgo Trento Hospital, Verona); Marco Alloisio, MD (IRCCS Humanitas, Milano); Edoardo Bottoni, MD (IRCCS Humanitas, Milano); Giuseppe Cardillo, MD (Forlanini Hospital, Roma); Francesco Carleo, MD (Forlanini Hospital, Roma); Franco Stella, MD (S. Orsola Hospital, Bologna); Giampiero Dolci, MD (S. Orsola Hospital, Bologna); Francesco Puma, MD (University of Perugia); Damiano Vinci, MD (University of Perugia); Giorgio Cavallesco, MD (University of Ferrara); Pio Maniscalco, MD (University of Ferrara); Luca Ampollini, MD (University of Parma); Paolo Carbognani, MD (University of Parma); Alberto Terzi, MD (Negrar Hospital, Verona); Andrea Viti, MD (Negrar Hospital, Verona); Giampiero Negri, MD (S. Raffaele Hospital, Milano); Alessandro Bandiera, MD (S. Raffaele Hospital, Milano); Reinhold Perkmann, MD (Bolzano Hospital, Bolzano); Francesco Zaraca, MD (Bolzano Hospital, Bolzano); Claudio Andretti, MD (S. Andrea Hospital, Roma); Camilla Poggi, MD (S. Andrea Hospital, Roma); Felice Mucilli, MD (S. Maria Annunziata Hospital, Chieti); Pierpaolo Camplese, MD (S. Maria Annunziata Hospital, Chieti); Luca Luzzi, MD (University of Siena); Marco Ghisalberti, MD (University of Siena); Andrea Imperatori, MD (University of Varese); Nicola Rotolo, MD (University of Varese); Luigi Bortolotti, MD (Humanitas Gavazzeni Hospital, Bergamo); Giovanna Rizzardi, MD (Humanitas Gavazzeni Hospital, Bergamo); Massimo Torre, MD (Niguarda Hospital, Milano); Alessandro Rinaldo, MD (Niguarda Hospital, Milano); Armando Sabbatini , MD (Ospedali Riuniti, Ancona); Majed Refai, MD (Ospedali Riuniti, Ancona); Mauro Roberto Benvenuti, MD (Spedali Civili, Brescia); Diego Benetti, MD (Spedali Civili, Brescia); Alessandro Stefani, MD (Ospedale Policlinico, Modena); Pamela Natali, MD (Ospedale Policlinico, Modena); Paolo Lausi, MD (Ospedale Molinette, Torino); Francesco Guerrera, MD (Ospedale Molinette, Torino).
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