Journal Pre-proof A National Analysis of Open vs Minimally Invasive Thymectomy for Stage I-III Thymoma Chi-Fu Jeffrey Yang, Jacob Hurd, Shivani Shah, Douglas Liou, Hanghang Wang, Leah Backhus, Natalie Lui, Thomas D'Amico, Joseph Shrager, Mark Berry PII:
S0022-5223(19)37101-6
DOI:
https://doi.org/10.1016/j.jtcvs.2019.11.114
Reference:
YMTC 15485
To appear in:
The Journal of Thoracic and Cardiovascular Surgery
Received Date: 9 May 2019 Revised Date:
16 November 2019
Accepted Date: 19 November 2019
Please cite this article as: Jeffrey Yang C-F, Hurd J, Shah S, Liou D, Wang H, Backhus L, Lui N, D'Amico T, Shrager J, Berry M, A National Analysis of Open vs Minimally Invasive Thymectomy for Stage I-III Thymoma, The Journal of Thoracic and Cardiovascular Surgery (2020), doi: https:// doi.org/10.1016/j.jtcvs.2019.11.114. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Copyright © 2019 Published by Elsevier Inc. on behalf of The American Association for Thoracic Surgery
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Title: A National Analysis of Open vs Minimally Invasive Thymectomy for Stage I-III
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Thymoma
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Running Head: MIS Thymectomy
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Authors: Chi-Fu Jeffrey Yang1, Jacob Hurd2, Shivani Shah3, Douglas Liou1, Hanghang Wang2,
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Leah Backhus1,4, Natalie Lui1, Thomas D'Amico2, Joseph Shrager1, Mark Berry1,4
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Institutions and Affiliations:
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1. Stanford University, Stanford, CA
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2. Duke University Medical Center, Durham, NC
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3. Harvard Medical School, Boston, MA
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4. VA Palo Alto Health Care System, Palo Alto, Calif
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Meeting Presentation: To be presented at the 99th Annual Meeting of the American Association
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for Thoracic Surgery, 2019 Toronto, Canada
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Classifications: thymoma, thymectomy, MIS surgery, VATS, robotic
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Abstract Word Count: 245
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Manuscript Word Count: 3220
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Reference Count: 37
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Tables & Figures Count: 7
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Supplementary Element Count: 9
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Corresponding author: Chi-Fu Jeffrey Yang. Falk Cardiovascular Research Center, 300
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Pasteur
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[email protected]
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Reprints will not be available from the authors
Drive,
Stanford,
CA
94305.Ph:
650-721-6400.
Fax:
650-724-6259. Email:
30 31
Sources of Support/Conflicts of Interest: The authors have no conflicts of interest to declare. 1
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TAD is a consultant for Scanlan (<$10,000). TD is a consultant for Medtronic (<$5,000).
2
33
Central Message
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In this national analysis, minimally invasive thymectomy was associated with similar short-term
35
outcomes and intermediate-term survival when compared with open thymectomy for stage I-III
36
thymoma.
37
3
38
Perspective Statement
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In this national analysis, when compared with open thymectomy, minimally invasive
40
thymectomy for stage I-III thymoma was associated with shorter length of stay and was not
41
associated with increased margin positivity, perioperative mortality, 30-day readmission rate, or
42
reduced five year survival.
4
43
Central Picture Legend
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Open vs MIS Thymectomy for Stage I-III Thymoma: Propensity score-matched Survival
5
45
Glossary of Abbreviations:
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MIS: Minimally Invasive
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VATS: Video-assisted Thoracoscopic
48
NCDB: National Cancer Database
49
LOS: Length of Stay
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RATS: Robot-assisted Thoracoscopic
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CDCC: Charlson-Deyo Comorbidity
6
52 53 54 55
ABSTRACT
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characterized. We compared short-term outcomes and overall survival between open and MIS
57
(video-assisted thoracoscopic [VATS] and robotic) approaches using the National Cancer Data
58
Base (NCDB).
Objective The oncologic efficacy of minimally invasive (MIS) thymectomy for thymoma is not well
59 60
Methods
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Perioperative outcomes and survival of patients who underwent open versus MIS thymectomy
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for clinical stage I-III thymoma from 2010 to 2014 in the NCDB were evaluated using
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multivariable Cox proportional hazards modeling and propensity score-matched analysis.
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Predictors of MIS use were evaluated using multivariable logistic regression. Outcomes of
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surgical approach were evaluated using an intent-to-treat analysis.
66 67
Results
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Of the 1,223 thymectomies that were evaluated, 317 (26%) were performed minimally invasively
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(141 VATS and 176 robotic). The MIS group had a shorter median (IQR) length of stay (LOS)
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when compared to the open group (3[2,4] days vs 4[3,6] days, p < 0.001). In a propensity score-
71
matched analysis of 185 open and 185 MIS (VATS + robotic) thymectomy, the MIS group
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continued to have a shorter median LOS (3 versus 4 days, p < 0.01) but did not have significant
73
differences in margin positivity (p = 0.84), 30-day readmission (p = 0.28), 30-day mortality (p =
74
0.60) and 5-year survival (89.4% vs 81.6%, p = 0.20) when compared to the open group.
75 76
Conclusions
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In this national analysis, MIS thymectomy was associated with shorter LOS and was not
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associated with increased margin positivity, perioperative mortality, 30-day readmission rate, or
79
reduced overall survival when compared with open thymectomy.
80 81 82 83 7
84 85 86
INTRODUCTION
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minimally invasive (MIS) thymectomy techniques have been developed over the past two
88
decades. Since the first case report for a video-assisted thoracoscopic (VATS) approach to
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thymectomy for thymoma in 1992,2 studies have reported the outcomes of both VATS and
90
robotic-assisted thoracoscopic (RATS) approaches to thymectomy.3 These studies have
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generally found that when compared to a traditional open approach, a MIS approach was
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associated with reduced blood loss, chest tube duration and hospital length of stay and no
93
significant differences in perioperative complications, thymoma recurrence, and 5-year survival.3
94
However, concerns on the use of minimally invasive techniques for thymectomy and thymoma
95
resection have been raised due to the risk of thymoma capsule violation during minimally
96
invasive manipulation leading to pleural seeding that compromises the oncologic efficacy of the
97
procedure with ultimate thymoma recurrence. In fact, minimally invasive approaches were
98
previously considered to be appropriate only for smaller tumors less than 4 to 5 centimeters in
99
size4.
The traditional approach for a thymectomy for thymoma has been via median sternotomy,1 but
100 101
Although evidence to support those concerns or support a size limit for minimally invasive
102
resection has not been published, the majority of studies comparing outcomes of open vs MIS
103
thymectomy are single- or multi-center studies from high volume centers. To date, there have
104
only been a few national studies evaluating the role of a MIS approach in thymectomy. The
105
Japanese Association for Research on the Thymus (JART) performed a propensity score-
106
matched study of 280 patients from 32 Japanese institutions and found no difference in
107
recurrence-free and overall survival between open and VATS thymectomy.5 The reported the
8
108
results of 461 patients across four continents who underwent MIS thymectomy for thymoma6.
109
They found that minimally invasive thymectomy could achieve rates of R0 resection for
110
thymoma similar to those achieved with traditional open thymectomy. A recent U.S. National
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Cancer Data Base (NCDB) analysis of 943 patients with stage I-II thymoma also found no
112
significant differences in R0 resection between open and minimally invasive approaches to
113
thymectomy.7 However, the ITMIG and NCDB studies did not specifically evaluate survival
114
and over 80% of patients in the ITMIG study who underwent a MIS thymectomy were from
115
Europe and Asia.
116 117
This study was therefore undertaken to evaluate the short-term outcomes and overall survival of
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open versus MIS thymectomy for clinical stage I-III thymoma in the United States using the
119
National Cancer Data Base (NCDB), which includes data from surgeons in academic and
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community centers across the U.S. The study objective was to test the hypothesis that the MIS
121
approach is associated with improved short-term outcomes and similar overall survival when
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compared to thymectomy by open approaches.
123 124
METHODS
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Data source
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The NCDB is administered by both the American College of Surgeons Commission on Cancer
127
(CoC) and the American Cancer Society, and captures approximately 70% of all newly
128
diagnosed cases of cancer in the U.S. and Puerto Rico.8 The NCDB collects information from
129
more than 1,500 cancer centers in the U.S., and now contains more than 30 million patient
130
records.
9
131 132
Study Design:
133
This retrospective study was approved by the Stanford and Duke University Institutional Review
134
Board. Patients diagnosed with stage I-III thymoma (Masaoka–Koga staging) from 2010-2014 in
135
the 2015 NCDB Participant Use Data File were identified for inclusion using International
136
Classification of Diseases for Oncology, 3rd edition (ICD-O-3) histology and topography codes.
137 138
Only patients treated with thymectomy (identified using Surgical Procedure of the Primary Site
139
codes 30, 40, 50, and 60 as defined by the Facility Oncology Registry Data Standards criteria),
140
who had available data on surgical approach were included. Exclusion criteria included non-
141
malignant pathology, history of previous unrelated malignancy and age less than 18 years. The
142
primary outcome was overall survival, assessed from the time of diagnosis to the time of death or
143
last follow-up.
144
hospital, 90-day mortality, hospital length of stay (LOS), surgical margin positivity, and rates of
145
conversion to open. The years 2010-2014 were selected for analysis because data on surgical
146
approach was not available before 2010.
Secondary outcomes were 30-day mortality and readmission to the same
147 148
Statistical Analysis:
149
Patients diagnosed with stage I-III thymoma were grouped based on whether they received open
150
or minimally invasive thymectomy. Baseline characteristics and unadjusted outcomes were
151
analyzed using Pearson’s chi-square test for categorical variables and Wilcoxon Rank Sum test
152
for continuous variables.
153
10
154
Outcomes of surgical approach were assessed using an intent-to-treat analysis; patients who
155
underwent MIS or MIS converted to open thymectomy were both included in the MIS group.
156
Predictors of a MIS approach were assessed using a multivariable logistic regression model that
157
included variables felt to be relevant to treatment selection. The variables included in this
158
multivariable logistic regression model were age, sex, race, Charlson/Deyo comorbidity (CDCC)
159
score, Masaoka stage, tumor size, regional education levels, insurance type, histology, facility
160
type, and distance from facility. A multivariable Cox proportional hazards model was used to
161
assess differences in overall survival between the open and MIS thymectomy groups, adjusting
162
for the aforementioned variables.
163 164
Differences in perioperative and postoperative outcomes and overall survival between surgical
165
approaches were also assessed using a propensity score-matched analysis of open vs MIS
166
thymectomy, using methods similar to as previously described.9 Propensity scores were
167
developed, defined as the probability of treatment assignment with the MIS approach versus
168
open approach, conditional on age, sex, race, CDCC score, regional education levels, tumor size,
169
insurance type, histology, stage, year of diagnosis, distance from facility, and facility type. All
170
of the covariates selected for the model were determined a priori to be clinically relevant.
171
Applying a greedy nearest neighbor matching algorithm without replacement with a caliper of
172
0.01, the most appropriately-matched pairs were identified. After matching, balance among the
173
pairs was evaluated using standardized differences. Following propensity-score matching,
174
Kaplan-Meier analysis was used to assess the overall survival of the two groups. Secondary
175
outcomes were assessed using the Mann-Whitney U test for continuous measures and Pearson’s
176
chi-square test for discrete variables.
11
177 178
Additional subgroup analyses were performed as well to try to limit the impact of unmeasurable
179
selection biases that would impact the ability to assess differences between the different surgical
180
approaches. The aforementioned propensity score-matched analysis, using the same matching
181
algorithm and covariates detailed above, was performed for patients who underwent open vs MIS
182
thymectomy with no co-morbidities to try to better control for the possibility that either approach
183
might have been used in “sicker” patients whose co-morbidities could impact outcomes more
184
than surgical approach. In addition, a propensity score-matched analysis of patients who
185
underwent open vs MIS thymectomy for only stage I-II thymoma was also assessed using the
186
same methodology as described above to better control for the possibility that a particular
187
surgical approach might have been preferentially used for more complex tumors that already had
188
a higher risk of incomplete resection or worse overall survival.
189 190
Two additional propensity score-matched analyses were performed using the same methodology
191
as described above. The first analysis was limited to patients with tumors < 4 cm and the second
192
analysis was limited to patients with tumors > 4 cm. We also performed both a unadjusted and
193
propensity score-matched comparison of VATS vs RATS using the same methodology as noted
194
above.
195 196
Diagnostics and model balance were evaluated without any violation of major assumptions being
197
observed. A p-value of 0.05 was used to define statistical significance for all comparisons.
198
Statistical analyses were performed using Stata/MP software, version 13.1 for Mac (StataCorp,
199
College Station, TX).
12
200 201
RESULTS
202
Use and Predictors of Minimally Invasive Surgery
203
The MIS approach was used in 317 (25.9%) of 1,223 patients in the NCDB who underwent
204
thymectomy for stage I-III thymoma from 2010-2014 and met the study inclusion criteria (Figure
205
1). Figure 2 shows the percentage of open and MIS thymectomies performed per year of study.
206
MIS use increased with each year except from 2010-2011. In 2010, 45 (18.7%) of 241
207
thymectomies were performed via a MIS approach. By 2014, 84 (33.2%) of 253 thymectomies
208
were performed via a MIS. This translated to a 14.5% increase in MIS use over the 5-year study
209
period.
210 211
Baseline patient and tumor characteristics are displayed in Table 1. In univariable analysis,
212
patients undergoing MIS thymectomy were more likely to be of older age, to have smaller
213
tumors and to have earlier stage thymomas when compared to patients who received open
214
thymectomy. No significant differences were found between the MIS and open groups with
215
regard to sex, race, co-morbidities or histology. The results of multivariable analysis that
216
evaluated predictors of the MIS approach are detailed in Table 2. In this multivariable analysis,
217
patients with stage III (compared to stage I) thymoma and patients with larger tumors were less
218
likely to receive a thymectomy via a MIS approach.
219 220
Perioperative and Survival Outcomes in the Entire Cohort
221
Table 1 also details the perioperative and postoperative data of the cohorts. The MIS approach
222
was associated with a shorter median length of hospital stay than the open approach, but the two
13
223
groups did not differ significantly with regard to margin positivity, 30-day mortality, 90-day
224
mortality or 30-day readmission rate.
225 226
The median follow-up for the open group was 40.7 months (IQR 27.3, 56.8) while the median
227
follow-up for the MIS group was 35.9 months (IQR 24.9, 52.2). Kaplan–Meier analysis
228
demonstrated a 5-year survival of 86.9% (95% CI: 83.6-89.7) for the open group and 90.7%
229
(95% CI: 82.0-95.3) for MIS group (log-rank, p=0.04) (Figure 3A). In multivariable Cox
230
proportional hazards analysis, a MIS approach was not associated with worse overall survival
231
(HR: 0.57; 95% CI: 0.31-1.07; p=0.08) (Table 3).
232 233
Data regarding margin status
234
Data on margin status is detailed in Table 1. Of the patients with known data regarding margin
235
status, 26.9% (n = 226) patients in the open group had positive margins while 22.1% (n = 65)
236
patients in the MIS group had positive margins. There were no significant differences between
237
the two groups regarding margin status (p = 0.39).
238 239
Propensity Score-matched Analysis
240
Propensity-score matching was performed to create two groups of 185 patients who had an open
241
or MIS approach that were well-matched with regard to baseline patient and tumor
242
characteristics (Table 4 & Figure 4). All standardized mean differences were less than or equal
243
to 10.2%. Table 4 also shows perioperative and postoperative data for the two matched groups.
244
The MIS group did not differ significantly from the open group with regard to margin positivity,
245
30-day mortality, 90-day mortality, or 30-day readmission rate but did have a shorter median
14
246
length of hospital stay. The median follow-up for the open group was 35.9 months (IQR 25.4,
247
50.5) while the median follow-up for the MIS group was 36.4 months (IQR 25.8, 55.4). There
248
were no significant differences in five-year overall survival between the open (81.6%, 95% CI:
249
68.1-89.8) and MIS (89.4%, 95% CI: 78.6-95.0) groups (log-rank, p=0.20) (Figure 3B & Figure
250
4).
251 252
Propensity Score-matched Analysis: Data regarding margin status
253
Data on margin status is detailed in Table 4. Of the patients with known data regarding margin
254
status, 24.6% (n = 42) patients in the open group had positive margins while 19.0% (n = 33)
255
patients in the MIS group had positive margins. There were no significant differences between
256
the two groups regarding margin status (p = 0.65).
257 258
Propensity score-matched Analysis: Patients with No Comorbidities
259
A comparison of baseline characteristics after propensity matching between patients with no-
260
comorbidities who underwent open and MIS thymectomy for stage I-III thymoma, is detailed in
261
Supplemental Table 1. After propensity-score matching, both groups were well matched with all
262
standardized mean differences less than or equal to 11.8%. Supplemental Table 1 also shows
263
perioperative and postoperative data for both matched groups. The MIS group did not differ
264
significantly from the open group with regard to margin positivity, and 30-day and 90-day
265
mortality rates but did have a shorter length of hospital stay. The MIS group was associated with
266
a higher 30-day readmission rate than the open group. There were no significant differences in
267
five-year overall survival between the open (79.0%, 95% CI: 64.1-88.3) and MIS (89.7%, 95%
268
CI: 75.2-95.9) groups (log-rank, p = 0.07) (Supplemental Figure 1A).
15
269 270
Propensity score-matched Analysis: Patients with Stage I-II Thymoma
271
An additional propensity score-matched analysis was performed for patients with stage I-II
272
thymoma. After propensity-score matching, both groups were well matched (Supplemental
273
Table 2). Supplemental Table 2 also shows perioperative and postoperative data for the two
274
matched groups. The MIS group did not differ significantly from the open group with regard to
275
margin positivity, 30-day mortality, 90-day mortality, or 30-day readmission rate but did have a
276
shorter median length of hospital stay. There were no significant differences in five-year overall
277
survival between the open (88.5%, 95% CI: 78.0-94.2) and MIS (90.6%, 95% CI: 77.3-96.3)
278
groups (log-rank, p=0.73) (Supplemental Figure 1B).
279 280
Propensity score-matched Analysis: Tumors < 4 cm and Tumors > 4 cm
281
Two additional propensity score-matched analyses were performed. The first analysis was
282
limited to patients with tumors < 4 cm (results detailed in Supplemental Table 3). In this
283
subgroup analysis, there were no significant differences in margin positivity or overall survival
284
(Supplemental Table 3 and supplemental figure 2A). The second analysis was limited to patients
285
with tumors > 4 cm (results detailed in Supplemental Table 4). In this subgroup analysis, there
286
were no significant differences in margin positivity or overall survival (Supplemental Table 4
287
and supplemental figure 2B).
288 289
VATS vs RATS
290
A comparison of differences in baseline characteristics, perioperative outcomes and overall
291
survival between VATS vs RATS in unadjusted and propensity score-matched analysis is
16
292
detailed in Supplemental Table 5 and 6 and Supplemental Figures 3A and 3B. The RATS group
293
had a shorter length of stay than the VATS group in unadjusted analyses although in the
294
propensity score-matched analysis there were no significant differences in length of stay between
295
the groups. There were no other significant differences in perioperative outcomes and overall
296
survival.
297 298
DISCUSSION
299
In this study of stage I-III thymoma in the National Cancer Data Base, MIS thymectomy was
300
found to be used for only a minority of patients with thymoma. When compared to patients who
301
underwent open thymectomy, the MIS group did not have significantly different rates of margin
302
positivity, 30-day mortality, 90-day mortality, or 30-day readmission but did have a shorter
303
median length of hospital stay, in both unadjusted and propensity score-matched analyses. The
304
MIS group as compared to the open group had significantly better five-year overall survival in
305
unadjusted analysis and did not have worse survival in multivariable-adjusted and propensity
306
score-matched analysis. Overall, these results suggest that minimally invasive techniques can be
307
used when resecting thymomas without compromising oncologic efficacy.
308 309
Our study findings are consistent with those reported by previous studies that found that MIS
310
thymectomy was associated with similar or lower 30-day mortality,3, 7, 10-12 shorter length of
311
hospital stay,3, 11-32 and similar or better five-year overall survival rates.3, 5, 10-13, 15, 16, 22, 24-28, 33
312
The main difference between the present study findings and those previously reported is with
313
regard to the rate of positive margins. Previous studies have reported R0 resection rates ranging
314
from 47% to 100% and 44% to 100% for MIS and open thymectomy patient groups,
17
315
respectively.5-7, 11, 16, 18, 20, 22, 23, 28, 30, 31, 34-36 In the present study, while there were no significant
316
differences between open and MIS thymectomy with regard to margin status, both groups had
317
higher than expected number of positive margins. A R0 resection was achieved in 67.7% of
318
patients with open thymectomy and 72.2% of patients with MIS thymectomy. In contrast, in the
319
ITMIG study of 2053 open thymectomies and 461 minimally invasive thymectomies, 88% of all
320
thymectomies achieved a R0 resection and that a R0 resection was achieved in 94% of MIS
321
cases.6 This discrepancy is in part because ~7% of patients in each group in our present study
322
had unknown data regarding margins. However, the difference could also be that ITMIG data is
323
provided directly from participating surgeons with their own assessment of the margin status
324
based on both intraoperative findings as well as pathologic data. NCDB data is coded by
325
registrars based on pathologic reports. We speculate that there were probably cases where the
326
pathology report noted that the tumor extended to the edge of the specimen and was coded by the
327
registrars or the pathologist as being a positive margin simply because the tumor was not next to
328
normal tissue but in actuality would not have been considered a positive margin by the surgeon
329
(e.g. in the case where the tumor “hangs” into the “air” of the pleural space when the lung is
330
down). In such cases, the clinical judgement of the surgeon who performed the operation is
331
often needed to clarify whether the margin is positive.
332 333
Our study has the strength of having assembled a large cohort of patients across a wide variety of
334
academic and community center, allowing both subgroup analyses as well as generalizability
335
beyond high volume centers. However this study does have several limitations. First, it is a
336
retrospective nature and the potential presence of unobserved confounding and selection bias
337
exists. We did try to reduce bias and account for confounding variables by performing
18
338
multivariable modeling and propensity-score matching. In addition, we used propensity-
339
matching analyses of patients with no comorbidities and patients only with lower stage I-II
340
thymoma to further consider that certain approaches may have been more preferentially used for
341
“sicker” patients or less complex tumors. Second, the NCDB does not contain any details
342
regarding the exact operative approach for the open thymectomy group (e.g. sternotomy vs
343
thoracotomy) nor does it have data regarding surgeon experience. Third, as noted above, there
344
may have been some inaccuracies or inconsistencies in the margin status data. Fourth, the
345
NCDB does not have patient data regarding whether a patient had myasthenia gravis. Fifth, the
346
NCDB does not contain data on postoperative complications, disease-free and disease-specific
347
survival. Sixth, the NCDB does not have data regarding the use of enhanced recovery after
348
surgery (ERAS) or fast-track protocols that have been shown to reduce length of stay.37 The
349
findings from the study suggest that the MIS approach is associated with faster recovery, with a
350
shorter median length of stay by 1 day. However, it should be noted that with the use of ERAS
351
protocols, patients who undergo open approaches to thymectomy can also often go home within
352
3 days after an operation. Future investigation that includes data on ERAS protocol
353
implementation for thymectomies will better clarify the impact of an MIS approach on post-
354
operative recovery. Seventh, the most important limitation of the study is with regard to the
355
relatively short follow-up of the study. The indolent nature of thymoma is such that finding no
356
difference in 5-year survival does not ensure that there is no difference in tumor recurrence or
357
longer-term survival. Additional studies with longer follow-up will have to be done to ensure
358
that these results found for up to 5-year outcomes are maintained over a longer period.
359
19
360
In this national analysis of patients with stage I-III thymoma, MIS thymectomy was observed to
361
be associated with shorter length of hospital stay, and similar margin positivity, 30-day mortality,
362
90-day mortality, 30-day readmission, and five-year survival thymectomy performed via an open
363
approach. While the use of the MIS approach has been increasing, it is still only used in the
364
minority of patients undergoing thymectomy. This study supports surgeons using minimally
365
invasive techniques to resect stage I-III thymomas when they consider that those techniques will
366
allow complete resection without tumor spillage.
367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396
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20.
21.
22.
23.
24.
25.
Liu TJ, Lin M-W, Hsieh M-S, et al. Video-Assisted Thoracoscopic Surgical Thymectomy to Treat Early Thymoma: A Comparison with the Conventional Transsternal Approach. Annals of surgical oncology. 2014;21:322-328. Xie A, Tjahjono R, Phan K, Yan TD. Video-assisted thoracoscopic surgery versus open thymectomy for thymoma: a systematic review. Annals of Cardiothoracic Surgery. 2015;4:495-508. Chao Y-K, Liu Y-H, Hsieh M-J, et al. Long-Term Outcomes After Thoracoscopic Resection of Stage I and II Thymoma: A Propensity-Matched Study. Annals of surgical oncology. 2015;22:1371-1376. Cheng Y-J, Kao E-L, Chou S-H. Videothoracoscopic Resection of Stage II Thymoma: Prospective Comparison of the Results Between Thoracoscopy and Open Methods. Chest. 2005;128:3010-3012. Chung JW, Kim HR, Kim DK, et al. Long-term Results of Thoracoscopic Thymectomy for Thymoma without Myasthenia Gravis. Journal of International Medical Research. 2012;40:1973-1981. Fadayomi AB, Iniguez CEB, Chowdhury R, et al. Propensity Score Adjusted Comparison of Minimally Invasive versus Open Thymectomy in the Management of Early Stage Thymoma. The Thoracic and cardiovascular surgeon. 2018;66:352-358. He Z, Zhu Q, Wen W, Chen L, Xu H, Li H. Surgical approaches for stage I and II thymoma-associated myasthenia gravis: feasibility of complete video-assisted thoracoscopic surgery (VATS) thymectomy in comparison with trans-sternal resection. Journal of Biomedical Research. 2013;27:62-70. Jurado J, Javidfar J, Newmark A, et al. Minimally Invasive Thymectomy and Open Thymectomy: Outcome Analysis of 263 Patients. The Annals of thoracic surgery. 2012;94:974-982. Kimura T, Inoue M, Kadota Y, et al. The oncological feasibility and limitations of videoassisted thoracoscopic thymectomy for early-stage thymomas. European Journal of Cardio-Thoracic Surgery. 2013;44:e214-e218. Kneuertz PJ, Kamel MK, Stiles BM, et al. Robotic Thymectomy Is Feasible for Large Thymomas: A Propensity-Matched Comparison. The Annals of thoracic surgery. 2017;104:1673-1678. Liqiang Q, Xiaoke C, Jia H, et al. A comparison of three approaches for the treatment of early-stage thymomas: robot-assisted thoracic surgery, video-assisted thoracic surgery, and median sternotomy. Journal of Thoracic Disease. 2017;9:1997-2005. Maniscalco P, Tamburini N, Quarantotto F, Grossi W, Garelli E, Cavallesco G. Longterm outcome for early stage thymoma: comparison between thoracoscopic and open approaches. The Thoracic and cardiovascular surgeon. 2015;63:201-205. Manoly I, Whistance RN, Sreekumar R, et al. Early and mid-term outcomes of transsternal and video-assisted thoracoscopic surgery for thymoma†. European Journal of Cardio-Thoracic Surgery. 2014;45:e187-e193. Marulli G, Comacchio GM, Schiavon M, et al. Comparing robotic and trans-sternal thymectomy for early-stage thymoma: a propensity score-matching study. European Journal of Cardio-Thoracic Surgery. 2018:ezy075-ezy075. Odaka M, Akiba T, Mori S, et al. Oncological outcomes of thoracoscopic thymectomy for the treatment of stages I–III thymomas. Interactive CardioVascular and Thoracic Surgery. 2013;17:285-290. 21
443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479
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Odaka M, Shibasaki T, Asano H, Marushima H, Yamashita M, Morikawa T. Feasibility of thoracoscopic thymectomy for treatment of early stage thymoma. Asian journal of endoscopic surgery. 2015;8:439-444. 27. Odaka M, Shibasaki T, Kato D, et al. Comparison of oncological results for early- and advanced-stage thymomas: thoracoscopic thymectomy versus open thymectomy. Surgical endoscopy. 2017;31:734-742. 28. Pennathur A, Qureshi I, Schuchert MJ, et al. Comparison of surgical techniques for earlystage thymoma: Feasibility of minimally invasive thymectomy and comparison with open resection. The Journal of Thoracic and Cardiovascular Surgery. 2011;141:694-701. 29. Wilshire CL, Vallières E, Shultz D, Aye RW, Farivar AS, Louie BE. Robotic Resection of 3 cm and Larger Thymomas Is Associated With Low Perioperative Morbidity and Mortality. Innovations:Technology and Techniques in Cardiothoracic and Vascular Surgery. 2016;11:321-326. 30. Ye B, Li W, Ge X-X, et al. Surgical treatment of early-stage thymomas: robot-assisted thoracoscopic surgery versus transsternal thymectomy. Surgical endoscopy. 2014;28:122-126. 31. Ye B, Tantai J-C, Ge X-X, et al. Surgical techniques for early-stage thymoma: Videoassisted thoracoscopic thymectomy versus transsternal thymectomy. The Journal of Thoracic and Cardiovascular Surgery. 2014;147:1599-1603. 32. Yuan Z-Y, Cheng G-Y, Sun K-L, et al. Comparative study of video-assisted thoracic surgery versus open thymectomy for thymoma in one single center. Journal of Thoracic Disease. 2014;6:726-733. 33. Sakamaki Y, Oda T, Kanazawa G, Shimokawa T, Kido T, Shiono H. Intermediate-term oncologic outcomes after video-assisted thoracoscopic thymectomy for early-stage thymoma. The Journal of Thoracic and Cardiovascular Surgery. 2014;148:12301237.e1231. 34. Keijzers M, Dingemans A-mC, Blaauwgeers H, et al. 8 Years' experience with robotic thymectomy for thymomas. Surgical endoscopy. 2014;28:1202-1208. 35. Rowse PG, Roden AC, Corl FM, et al. Minimally invasive thymectomy: the Mayo Clinic experience. 2015. 2015;4:519-526. 36. Ye B, Tantai J-C, Li W, et al. Video-assisted thoracoscopic surgery versus roboticassisted thoracoscopic surgery in the surgical treatment of Masaoka stage I thymoma. World journal of surgical oncology. 2013;11:157. 37. Martin L, Sarosiek B, Harrison M, et al. Implementing a Thoracic Enhanced Recovery Program: Lessons Learned In the First Year. The Annals of thoracic surgery. 2018.
22
480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525
Table and Figure Legend Figure 1. Flow diagram showing schema of study subject selection Figure 2. Changes in Surgical Approaches for Thymectomy Over Time Table 1. Analysis of Open vs. Minimally Invasive (MIS [Video-Assisted Thoracoscopic or Robotic]) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data Table 2. Multivariable Logistic Regression Evaluating Predictors of the Use of Minimally Invasive (MIS) Thymectomy for Patients with Stage 1-3 Thymoma Figure 3. Survival after Open vs. Minimally Invasive (MIS) Thymectomy for Stage I-III Thymoma: A. Entire Cohort B. Propensity Score-matched Analysis Table 3. Independent Predictors of Survival After Cox Proportional Hazards Adjustment for Patients with Stage 1-3 Thymoma Table 4. Propensity-matched Analysis of Open vs. Minimally Invasive (MIS [Video-Assisted Thoracoscopic or Robotic]) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data Central Figure. Open vs MIS Thymectomy for Stage I-III Thymoma: Propensity score-matched Survival Figure 4. Graphical Abstract Demonstrating the Comparison of 5-Year Survival Outcomes between Minimally Invasive (MIS) and Open Thymectomy for Patients with Stage I-III Thymoma in the National Cancer Database through a Propensity Score-Matched Analysis Video. A National Analysis of Open vs Minimally Invasive Thymectomy for Stage I-III Thymoma Supplemental Table 1. Propensity Score-Matched Analysis of Patients without Comorbidities of Open vs Minimally Invasive (MIS [Video-Assisted Thoracoscopic or Robotic]) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data Supplemental Figure 1. Survival after Open vs. Minimally Invasive (MIS) Thymectomy for Stage I-III Thymoma. A. Propensity Score-matched Patients without Comorbidities B. Propensity Score-Matched Patients with Stage I & II Thymoma Supplemental Table 2. Propensity-matched Analysis of Open vs. Minimally Invasive (MIS) Thymectomy for Stage I & II: Baseline Characteristics, Perioperative and Postoperative Data Supplemental Table 3. Propensity Score-Matched Analysis of Patients with Tumors Less than 4cm of Open vs. Minimally Invasive (MIS) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data
23
526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544
Supplemental Table 4. Propensity Score-Matched Analysis of Patients with Tumors Greater than 4cm of Open vs. Minimally Invasive (MIS) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data Supplemental Figure 2. Survival after Open vs. Minimally Invasive (MIS) Thymectomy for Stage I-III Thymoma. A. Propensity Score-matched Patients with Tumors less than 4cm B. Propensity Score-matched Patients with Tumors Greater than 4cm Supplemental Table 5. Analysis of Patients of Video-Assisted Thoracoscopic (VATS) vs. Robotic (RATS) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data Supplemental Table 6. Propensity Score-Matched Analysis of Patients of Video-Assisted Thoracoscopic (VATS) vs. Robotic (RATS) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data Supplemental Figure 3. Survival after Video-Assisted Thoracoscopic (VATS) vs. Robotic (RATS) Thymectomy for Stage I-III Thymoma. A. Entire Cohort B. Propensity Score-matched Analysis
24
545 546
Table 1. Analysis of Open vs. MIS (VATS or Robotic) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data
Patient characteristics
Open (N=906)
MIS (N=317)
P Value
57.4 (14.1) 486 (53.6%)
59.6 (12.7) 170 (53.6%)
0.02 1.00 0.48
632 (69.8%) 157 (17.3%) <10 94 (10.4%)
236 (74.4%) 40 (12.6%) 0 37 (11.7%)
682 (75.3%) 181 (20.0%) 36 (4.0%) <10
247 (77.9%) 55 (17.4%) 14 (4.4%) <10
141 (15.6%) 249 (27.5%) 283 (31.2%) 233 (25.7%)
49 (15.5%) 59 (18.6%) 113 (35.6%) 94 (29.7%)
400 (44.2%) 30 (3.3%) 315 (34.8%) 59 (6.5%)
161 (50.8%) <10 (<2%) 99 (31.2%) 27 (8.5%)
506 (55.8%) 66 (7.3%) 266 (29.4%) <10 (<1%) 43 (4.7%)
169 (53.3%) 11 (3.5%) 120 (37.9%) <10 (<2%) <10 (<3%)
432 (47.7%) 196 (21.6%) 278 (30.7%) 65 (45, 90)
203 (64.0%) 77 (24.3%) 37 (11.7%) 49.5 (35, 70)
95 (10.5%) 201 (32.7%) 129 (14.2%) 168 (18.5%) 149 (16.4%) 164 (18.1%)
34 (10.7%) 77 (24.3%) 51 (16.1%) 65 (20.5%) 35 (11.0%) 55 (17.4%)
Baseline Characteristics Age, (years, SD) Female, n (%) Race, n (%) White Black Asian Other Charlson Deyo Comorbidity Score, n (%) 0 1 2 3+ Education (% Without HS Diploma) 21% or more 13% - 20.9% 7% - 12.9% Less than 7% Facility, n (%) Academic/Research Program Community Cancer Program Comprehensive Community Cancer Program Integrated Network Cancer Program Insurance, n (%) Private Medicaid Medicare Other Government Program Uninsured Masaoka Stage, n (%) 1-2a 2b 3 Tumor Size, mm, median (IQR) Histology, n (%) Thymoma, type A, malignant Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant Thymoma, malignant, NOS Induction therapy, n (%) Induction Chemotherapy Induction Chemoradiation Induction Radiation
0.59
0.02
0.13
0.02
<0.001
<0.001 0.29
0.09 104 (11.5%) 12 (1.3%) 13 (1.4%)
13 (4.1%) <10 (<2%) <10 (<2%)
25
Distance to Facility (IQR) MIS Approach, n (%) VATS RATS
10.4 (5.4,28)
12.3 (4.7,30.4)
N/A N/A
141 (44.5%) 176 (55.5%)
0.44
Perioperative Outcomes Conversion from MIS to open, n (%) Surgical margins, n (%) Negative Microscopic Residual Tumor Macroscopic Residual Tumor Residual Tumor, NOS Unknown Nodes Removed, n (IQR) 30-day mortality, n (%) 30-day readmission, n (%) 90-day mortality, n (%) Hospital Length of Stay, n (IQR)
34 (10.7%)
N/A 0.62
613 (67.7%) 132 (14.6%) 11 (1.2%) 83 (9.2%) 67 (7.4%) 18.2 (36.1) <10 51 (3.7%) <10 4 (3, 6)
229 (72.2%) 39 (12.3%) <10 24 (7.6%) 23 (7.3%) 17.4 (36.2) <10 15 (4.2%) <10 3 (2, 4)
0.05 0.75 0.38 0.99 <0.001
337 (32.7%) 65 (3.7%)
99 (30.8%) <10
0.06 <0.001
Postoperative Therapy Adjuvant Radiotherapy Adjuvant Chemotherapy
547 548 549
26
550 551
Table 2. Multivariable Logistic Regression Evaluating Predictors of the Use of MIS Thymectomy for Patients With Stage 1-3 Thymoma Age (per year) Female v male Race (ref = White) Black Other CDCC score (ref = 0) 1 2 3+ Masaoka Stage (ref Stage 1-2a) Stage 2b Stage 3 Tumor Size (per mm) Education: % without HS diploma (ref > 21%) 13% to 20.9% 7% to 12.9% Less than 7% Insurance type (ref = Uninsured) Private Medicaid Medicare Other Government Histology, (ref=Thymoma, type A, malignant) Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant Facility type (ref = community) Comprehensive Academic/research Integrated Network Distance from facility (per mile)
Odds Ratio 0.99 0.86
95% CI 0.97, 1.01 0.62, 1.21
P 0.53 0.40
1.09 1.36
0.65, 1.84 0.78, 2.38
0.74 0.28
0.66 0.86 0.33
0.43, 1.02 0.40, 1.84 0.04, 2.96
0.06 0.70 0.32
0.90 0.34 0.98
0.61, 1.34 0.20, 0.56 0.98, 0.99
0.61 <0.001 <0.001
0.54 0.74 0.77
0.31, 0.96 0.44, 1.24 0.45, 1.32
0.04 0.26 0.35
2.67 1.54 4.30 5.87
0.75, 9.46 0.34, 6.90 1.16, 15.97 0.94, 36.53
0.13 0.57 0.03 0.06
1.07 1.45 1.32 0.80
0.63, 1.82 0.80, 2.64 0.74, 2.34 0.42, 1.55
0.81 0.22 0.35 0.51
1.94 2.30 2.63 1.00
0.66, 5.65 0.79, 6.69 0.81, 8.57 1.00, 1.00
0.23 0.13 0.11 0.50
552 553
27
554 555
Table 3. Independent Predictors of Survival After Cox Proportional Hazards Adjustment for Patients with Stage 1-3 Thymoma
MIS (ref = Open) Age (per year) Female v male Race (ref = White) Black Other CDCC score (ref = 0) 1 2 3+ Masaoka Stage (ref Stage 1-2a) Stage 2b Stage 3 Tumor Size (per mm) Education: % without HS diploma (ref > 21%) 13% to 20.9% 7% to 12.9% Less than 7% Insurance type (ref = Uninsured) Private Medicaid Medicare Other Government Histology, (ref= Thymoma, type A, malignant) Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant Facility type (ref = community) Comprehensive Academic/research Unknown Distance from facility (per mile)
Hazard Ratio 0.57 1.05 0.64
95% CI 0.31, 1.07 1.03, 1.08 0.40, 1.02
P 0.08 <0.001 0.062
0.92 0.37
0.46, 1.82 0.13, 1.06
0.80 0.06
1.17 0.85 2.01
0.68, 2.01 0.26, 2.77 0.46, 8.87
0.57 0.78 0.36
1.88 2.05 1.00
1.06, 3.34 1.17, 3.60 1.00, 1.01
0.03 0.01 0.27
0.93 1.08 0.63
0.45, 1.90 0.54, 2.19 0.29, 1.38
0.83 0.82 0.25
0.74 1.17 1.03 0.91
0.17, 3.24 0.21, 6.56 0.22, 4.74 0.07, 11.12
0.69 0.86 0.97 0.94
0.93 0.89 1.04 1.38
0.40, 2.19 0.41, 1.94 0.44, 2.47 0.62, 3.05
0.87 0.76 0.94 0.43
1.98 1.67 3.02 1.00
0.46, 8.54 0.38, 7.23 0.65, 14.16 1.00, 1.00
0.36 0.50 0.16 0.97
556 557
28
558 559
Table 4. Propensity-matched Analysis of Open vs. MIS (VATS or Robotic) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data
Patient characteristics
Open (N=185)
MIS (N=185)
Standardized Difference
Baseline Characteristics Age, (years, SD) Female, n (%) Race, n (%) White Black Asian Other Charlson Deyo Comorbidity Score, n (%) 0 1 2 3+ Education (% Without HS Diploma), n (%) 21% or more 13% - 20.9% 7% - 12.9% Less than 7% Facility, n (%) Academic/Research Program Community Cancer Program Comprehensive Community Cancer Program Integrated Network Cancer Program Insurance, n (%) Private Medicaid Medicare Other Government Program Uninsured Masaoka Stage, n (%) 1-2a 2b 3 Tumor Size, mm (IQR) Histology, n (%) Thymoma, type A, malignant Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant Induction Therapy, n (%) Induction Chemotherapy Induction Chemoradiation Induction Radiation Year of Diagnosis, (IQR) Distance to Facility (IQR)
62.6 (11.1) 100 (54.1%)
61.6 (10.4) 97 (52.4%)
6.5 <0.1
129 (69.7%) 38 (20.5%)
145 (78.4%) 22 (11.9%)
4.9 1.5
0 (0%)
0 (0%)
<0.1
<10
18 (9.7%)
5.3
143 (77.3%) 33 (17.8%) <10 0 (0%)
138 (74.6%) 37 (20.0%) <10 <10 (<1%)
7.7 5.6 2.6 6.7
33 (17.8%) 34 (18.4%) 70 (37.8%) 47 (25.4%)
25 (13.5%) 37 (20.0%) 64 (34.6%) 59 (31.9%)
<0.1 5.2 2.3 7.2
87 (47.0%) <10 75 (40.5%) 16 (8.6%)
96 (51.9%) <10 68 (36.8%) 16 (9.8%)
8.7 6.8 5.7 2.0
95 (51.4%) <10 77 (41.6%) <10 <10
96 (51.9%) <10 75 (40.5%) <10 <10
<0.1 4.7 1.2 4.7 5.7
116 (62.7%) 40 (21.6%) 29 (15.7%) 53 (35,75)
110 (59.5%) 49 (26.5%) 26 (14.1%) 50 (40,70)
4.5 9.0 4.2 1.0
32 (17.3%) 64 (34.6%) 32 (17.3%) 38 (20.5%) 19 (10.3%)
32 (17.3%) 58 (31.9%) 29 (15.7%) 40 (21.6%) 26 (14.1%)
<0.1 7.2 4.2 2.5 10.2
11 (5.9%) <10 0 2012 (2011,2013) 11.3 (5.6,25.4)
<10 <10 <10 2013 (2011,2013) 14 (5.2,29.3)
5.8 5.3 9.5 1.6 7.7
29
Perioperative Outcomes Conversion from open to MIS, n (%) Surgical margins, n (%) Negative Microscopic Residual Tumor Macroscopic Residual Tumor Residual Tumor, NOS Unknown Nodes Removed, n (SD) 30-day mortality, n (%) 30-day readmission, n (%) 90-day mortality, n (%) Hospital Length of Stay, n (IQR)
19 (10.3%)
p-value N/A 0.84
129 (69.7%) 26 (14.1%) <10 15 (8.1%) 14 (7.6%) 19 (36.9) <10 <10 <10 4 (3, 5)
141 (76.2%) 21 (11.4%) <10 11 (5.9%) 11 (5.9%) 18.7 (37.6) <10 <10 <10 3 (2, 4)
0.56 1.00 0.28 0.60 <0.001
62 (33.5%) <10
55 (29.7%) <10
0.43 0.78
Postoperative Therapy Adjuvant Radiotherapy Adjuvant chemotherapy
560
30
561 562 563
Supplemental Table 1. Propensity Score-Matched Analysis of Patients without Comorbidities of Open vs. MIS (VATS or Robotic) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data
Patient characteristics
Baseline Characteristics Age, (years, SD) Female, n (%) Race, n (%) White Black Asian Other Education (% Without HS Diploma), n (%) 21% or more 13% - 20.9% 7% - 12.9% Less than 7% Facility, n (%) Academic/Research Program Community Cancer Program Comprehensive Community Cancer Program Integrated Network Cancer Program Insurance, n (%) Private Medicaid Medicare Other Government Program Uninsured Masaoka Stage, n (%) 1-2a 2b 3 Tumor Size, mm, median (IQR) Histology, n (%) Thymoma, type A, malignant Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant Induction therapy, n (%) Induction Chemotherapy Induction Chemoradiation Induction Radiation Year of Diagnosis, (IQR)
Open (N=141)
MIS (N=141)
Standardized Differences (%)
61.4 (12.0) 77 (49.5%)
61.4 (10.3) 78 (54.2%)
0.1 1.4
117 (83.0%) 15 (10.6%)
113 (80.1%) 14 (9.9%)
6.4 2.0
0 (0%) <10
0 (0%) 14 (9.9%)
<0.1 11.5
20 (14.1%) 26 (18.4%) 46 (32.6%) 49 (34.8%)
22 (15.6%) 28 (19.9%) 47 (33.3%) 44 (31.2%)
3.9 3.4 1.5 7.8
82 (58.1%) <10 41 (29.1%) 14 (9.9%)
76 (53.9%) <10 49 (34.8%) 12 (8.5%)
8.5 10.6 11.8 5.2
81 (57.4%) <10 52 (36.9%) <10 0 (0%)
78 (55.3%) <10 54 (38.3%) <10 <10
4.3 3.0 3.0 6.1 3.7
83 (58.9%) 36 (25.5%) 22 (15.6%) 52 (35,70)
83 (58.9%) 38 (30.0%) 20 (14.2%) 50 (35,70)
<0.1 3.3 3.6 0.6
21 (14.9%) 44 (31.2%) 24 (17.0%) 30 (21.3%) 22 (15.6%)
21 (14.9%) 46 (32.6%) 26 (18.4%) 29 (20.6%) 19 (13.5%)
<0.1 3.2 3.6 1.6 5.8
13 (9.2%) 0 (0%) 0 (0%) 2013 (2011,2013)
<10 0 (0%) <10 2013 (2011,2013)
10.4 <0.1 7.4 1.0
31
Distance to Facility (IQR) Perioperative Outcomes Surgical margins Negative Microscopic Residual Tumor Macroscopic Residual Tumor Residual Tumor, NOS Unknown Nodes Removed, n (SD) 30-day mortality, n (%) 30-day readmission, n (%) 90-day mortality, n (%) Hospital Length of Stay, n (IQR)
12.4 (6.2,25.4)
11 (4.9, 24.7)
96 (68.1%) 14 (9.9%) <10 15 (10.6%) 14 (9.9%) 19.1 (37.4) 0 (0%) 0 (0%) 0 (0%) 4 (3, 5)
102 (72.3%) 18 (12.8%) 0 (0%) 10 (7.1%) 11 (7.8%) 19.9 (38.6) <10 <10 <10 3 (2, 4)
6.2 p-value 0.54
0.91 0.37 0.04 0.22 <0.001
Postoperative Therapy Adjuvant Radiotherapy Adjuvant chemotherapy
51 (36.2%) <10
46 (32.6%) <10
0.53 0.16
564 565
32
566 567 568
Supplemental Table 2. Propensity-matched Analysis of Open vs. MIS Thymectomy for Stage I & II: Baseline Characteristics, Perioperative and Postoperative Data
Patient characteristics Baseline Characteristics Age, (years, SD) Female, n (%) Race, n (%) White Black Asian Other Charlson Deyo Comorbidity Score, n (%) 0 1 2 3+ Education (% Without HS Diploma) 21% or more 13% - 20.9% 7% - 12.9% Less than 7% Facility, n (%) Academic/Research Program Community Cancer Program Comprehensive Community Cancer Program Integrated Network Cancer Program Insurance, n (%) Private Medicaid Medicare Other Government Program Uninsured Masaoka Stage, n (%) 1-2a 2b Tumor Size, mm, median (IQR) Histology, n (%) Thymoma, type A, malignant Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant Induction therapy, n (%) Induction Chemotherapy Induction Chemoradiation
Open (N=165)
MIS (N=165)
Standardized Differences
63.2 (11.1) 92 (55.8%)
62.0 (10.6) 88 (53.3%)
8.8 4.9
132 (80.0%) 17 (10.3%)
127 (77.0%) 21 (12.7%)
6.8 6.8
0 (0%)
0 (0%)
0.0
16 (9.7%)
17 (10.3%)
2.0
120 (72.7%) 33 (20.0%) 12 (7.3%) 0 (0%)
120 (72.7%) 33 (20.0%) 11 (6.7%) <10 (<1%)
0 0 2.8 7.2
22 (13.3%) 41 (24.8%) 58 (35.2%) 44 (26.7%)
23 (13.9%) 36 (21.8%) 55 (33.3%) 51 (30.9%)
1.7 7.3 3.8 9.4
83 (50.2%) <10 66 (40.0%) 13 (7.9%)
81 (49.1%) <10 64 (38.8%) 16 (9.7%)
2.4 2.7 2.5 6.5
79 (47.9%) <10 74 (44.8%) <10 <10
88 (53.3%) <10 66 (40.0%) <10 <10
10.9 5.1 10.1 0.0 3.3
120 (72.7%) 45 (27.3%) 50 (35, 69)
118 (71.5%) 47 (28.5%) 50 (35, 65)
2.6 2.6 0.6
29 (17.6%) 58 (35.2%) 31 (18.8%) 30 (18.2%) 17 (10.3%)
29 (17.6%) 53 (32.1%) 29 (17.6%) 33 (20.0%) 21 (12.7%)
0.0 6.5 3.2 4.4 6.8
<10 0 (0%)
<10 <10
11.2 10.9
33
Induction Radiation Distance to Facility (IQR) Perioperative Outcomes Surgical margins, n (%) Negative Microscopic Residual Tumor Macroscopic Residual Tumor Residual Tumor, NOS Unknown Nodes Removed, n (SD) 30-day mortality, n (%) 30-day readmission, n (%) 90-day mortality, n (%) Hospital Length of Stay, n (IQR)
0 (0%) 10.9 (4.9, 20)
<10 (<2%) 11.8 (5.2, 24)
16.7 2.5 p-value 0.81
128 (77.6%) 19 (11.5%) 0 (0%) <10 12 (7.3%) 25.1 (41.4) 0 (0%) <10 <10 4 (3,5)
130 (78.8%) 16 (9.7%) 0 (0%) <10 10 (6.1%) 21.0 (39.2) <10 <10 <10 3 (1,4)
0.23 0.51 0.29 0.90 <0.001
51 (30.9%) <10
46 (27.9%) <10
0.55 0.74
Postoperative Therapy Adjuvant Radiotherapy Adjuvant chemotherapy
569 570
34
571 572 573
Supplemental Table 3. Propensity Score-Matched Analysis of Patients with Tumors Less than 4cm of Open vs. MIS (VATS or Robotic) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data
Patient characteristics
Baseline Characteristics Age, (years, SD) Female, n (%) Race, n (%) White Black Asian Other Charlson Deyo Comorbidity Score, n (%) 0 1 2 3+
Education (% Without HS Diploma), n (%) 21% or more 13% - 20.9% 7% - 12.9% Less than 7% Facility, n (%) Academic/Research Program Community Cancer Program Comprehensive Community Cancer Program Integrated Network Cancer Program Insurance, n (%) Private Medicaid Medicare Other Government Program Uninsured Masaoka Stage, n (%) 1-2a 2b 3 Tumor Size, mm (IQR) Histology, n (%) Thymoma, type A, malignant Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant
Open (N=37)
MIS (N=37)
Standardized Differences (%)
60.2 (9.0) 22 (59.5%)
60.5 (10.5) 23 (62.2%)
1.9 5.4
29 (78.4%) <10
27 (73.0%) <10
12.3 15.5
0 <10
0 <10
<0.1 <0.1
30 (81.1%)
29 (78.4%)
<10 <10
<10 <10
0
0
6.4 <0.1 12.2 <0.1
<10 <10 11 (29.7%) 13 (35.1%)
<10 11 (29.7%) 10 (27.0%) 12 (32.4%)
7.4 19.6 6.0 5.7
20 (54.1%) <10 15 (40.5%) <10
23 (62.2%) <10 11 (29.7%) <10
16.2 19.7 22.5 10.2
21 (56.8%) 0 13 (35.1%) 0 <10
21 (56.8%) 0 14 (37.8%) 0 <10
<0.1 <0.1 5.5 <0.1 14.5
31 (83.8%) <10 <10 30 (20,34)
29 (78.4%) <10 <10 30 (25,35)
12.2 13.7 <0.1 21.8
<10 13 (35.1%) <10 10 (27.0%) <10
<10 14 (37.8%) <10 <10 <10
7.2 5.9 7.4 24.2 8.7
35
Induction therapy, n (%) Induction Chemotherapy Induction Chemoradiation Induction Radiation Year of Diagnosis, (IQR) Distance to Facility (IQR) Perioperative Outcomes Surgical margins Negative Microscopic Residual Tumor Macroscopic Residual Tumor Residual Tumor, NOS Unknown Nodes Removed, n (SD) 30-day mortality, n (%) 30-day readmission, n (%) 90-day mortality, n (%) Hospital Length of Stay, n (IQR)
<10 0 0 2012 (2012,2014) 15 (6.5,25.4)
0 0 0 2013 (2012,2014) 8 (2.5,19.8)
23.2 <0.1 <0.1 4.0 10.2 p-value
31 (83.8%) 0 0 <10 <10 14.2 (34) 0 <10 0 3.5 (2,4)
31 (83.8%) <10 0 0 <10 23 (40.6) <10 0 <10 2 (1,4)
0.11 0.36 0.31 0.36 0.09
10 (27.0%) <10
<10 <10
0.41 0.30
0.50
Postoperative Therapy Adjuvant Radiotherapy Adjuvant chemotherapy
574 575
36
576 577 578
Supplemental Table 4. Propensity Score-Matched Analysis of Patients with Tumors Greater than 4cm of Open vs. MIS (VATS or Robotic) Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data
Patient characteristics
Baseline Characteristics Age, (years, SD) Female, n (%) Race, n (%) White Black Asian Other Charlson Deyo Comorbidity Score, n (%) 0 1 2 3+
Education (% Without HS Diploma), n (%) 21% or more 13% - 20.9% 7% - 12.9% Less than 7% Facility, n (%) Academic/Research Program Community Cancer Program Comprehensive Community Cancer Program Integrated Network Cancer Program Insurance, n (%) Private Medicaid Medicare Other Government Program Uninsured Masaoka Stage, n (%) 1-2a 2b 3 Tumor Size, mm (IQR) Histology, n (%) Thymoma, type A, malignant Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant
Open (N=137)
MIS (N=137)
Standardized Differences (%)
62.0 (11.5) 62 (45.3%)
61.9 (10.4) 67 (48.9%)
0.8 7.3
97 (70.8%) 22 (16.1%)
105 (76.6%) 16 (11.7%)
13.0 12.2
0 18 (13.1%)
0 16 (11.7%)
<0.1 4.7
100 (73.0%)
99 (72.2%) 30 (21.9%)
0
<10 <10
1.7 5.5 10.5 8.0
21 (15.3%) 21 (15.3%) 51 (37.2%) 44 (32.1%)
18 (13.1%) 28 (20.4%) 48 (35.0%) 43 (31.4%)
5.9 12.1 4.6 1.6
69 (50.4%) <10 52 (38.0%) 12 (8.8%)
67 (48.9%) <10 53 (38.7%) 13 (9.5%)
2.9 <0.1 1.5 2.6
70 (51.1%) <10 55 (40.1%) <10 0
72 (52.6%) <10 56 (40.9%) <10 <10
2.9 8.9 1.6 5.9 3.8
83 (60.6%) 27 (19.7%) 27 (19.7%) 60 (50-80)
80 (58.4%) 34 (24.8%) 23 (16.8%) 60 (48-75)
4.5 11.9 7.0 2.2
17 (12.4%) 44 (32.1%) 27 (19.7%) 30 (21.9%) 19 (13.9%)
19 (13.9%) 44 (32.1%) 24 (17.5%) 29 (21.2%) 21 (15.3%)
4.5 <0.1 5.5 1.7 3.8
27 (19.7%) 10 (7.3%)
37
Induction therapy, n (%) Induction Chemotherapy Induction Chemoradiation Induction Radiation Year of Diagnosis, (IQR) Distance to Facility (IQR) Perioperative Outcomes Surgical margins Negative Microscopic Residual Tumor Macroscopic Residual Tumor Residual Tumor, NOS Unknown Nodes Removed, n (SD) 30-day mortality, n (%) 30-day readmission, n (%) 90-day mortality, n (%) Hospital Length of Stay, n (IQR)
17 (12.4%) <10 <10 2012 (2011-2013) 11.3 (5.2-25.4)
<10 <10 <10 2013 (2011-2013) 15.7 (5.8-30.7)
18.9 <0.1 5.6 3.1 16.3 p-value
98 (71.5%) 19 (13.9%) 0 11 (8.0%) <10 17.3 (35.2) 0 <10 <10 4 (3,6)
97 (70.8%) 18 (13.1%) <10 <10 12 (8.8%) 18.4 (37.3) <10 <10 <10 3 (2,4)
0.53 0.61 1.00 1.00 <0.001
45 (32.8%) <10
44 (32.1%) <10
0.90 1.00
0.50
Postoperative Therapy Adjuvant Radiotherapy Adjuvant chemotherapy
579 580
38
581 582
Supplemental Table 5. Analysis of Patients of VATS vs. Robotic Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data
Patient characteristics Baseline Characteristics Age, (years, SD) Female, n (%) Race, n (%) White Black Asian Other Charlson Deyo Comorbidity Score, n (%) 0 1 2 3+
Education (% Without HS Diploma), n (%) 21% or more 13% - 20.9% 7% - 12.9% Less than 7% Facility, n (%) Academic/Research Program Community Cancer Program Comprehensive Community Cancer Program Integrated Network Cancer Program Insurance, n (%) Private Medicaid Medicare Other Government Program Uninsured Masaoka Stage, n (%) 1-2a 2b 3 Tumor Size, mm (IQR) Histology, n (%) Thymoma, type A, malignant Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant Induction therapy, n (%) Induction Chemotherapy
VATS (N=141)
RATS (N=176)
62 75 (53.2%)
59 95 (54.0%)
104 (73.8%) 22 (15.6%)
132 (75.0%) 18 (10.2%)
0 (0%)
0 (0%)
15 (8.5%)
26 (14.2%)
116 (82.3%) 19 (13.5%) <10 0
131 (74.4%) 36 (20.5%) <10 <10
p-value 0.19 0.89 0.24
0.30
0.43 21 (14.9%) 25 (17.7%) 45 (31.9%) 48 (34.0%)
28 (15.9%) 34 (19.3%) 68 (38.6%) 46 (26.1%) 0.10
66 (46.8%) <10 51 (36.2%) <10
95 (54.0%) <10 48 (27.3%) 19 (10.8%)
65 (46.1%) <10 59 (41.8%) <10 <10
104 (59.1%) <10 61 (34.7%) <10 <10
0.20
0.27 86 (61.0%) 34 (24.1%) 21 (14.9%) 52 (36, 78)
117 (66.5%) 43 (24.4%) 16 (9.1%) 45 (35, 63)
14 (9.9%) 35 (24.8%) 24 (17.0%) 26 (18.4%) 21 (14.9%)
20 (11.4%) 43 (24.4%) 27 (15.3%) 39 (22.2%) 14 (8.0%)
0.05 0.40
0.53 <10
<10
39
Induction Chemoradiation Induction Radiation Year of Diagnosis, (IQR) Distance to Facility (IQR) Perioperative Outcomes Conversion to Open, n (%) Surgical margins Negative Microscopic Residual Tumor Macroscopic Residual Tumor Residual Tumor, NOS Unknown Nodes Removed, n (SD) 30-day mortality, n (%) 30-day readmission, n (%) 90-day mortality, n (%) Hospital Length of Stay, n (IQR)
<10 <10 2013 (2011,2014) 10.9 (4, 29.2)
<10 <10 2013 (2011.5, 2013) 12.9 (5.8, 31.3)
26 (18.4%)
<10
98 (69.5%) 17 (12.1%) <10 12 (8.5%) 12 (8.5%) 0 (0,2) <10 <10 <10 3 (2, 4)
131 (74.4%) 22 (12.5%) 0 12 (6.8%) 11 (6.3%) 0 (0,6) 0 <10 0 2 (1, 4)
0.46 0.27 0.46 0.06 0.02
42 (29.8%) <10
57 (32.4%) 0
0.62 <0.01
0.95 0.07
<0.01 0.60
Postoperative Therapy Adjuvant Radiotherapy Adjuvant chemotherapy
583
40
584 585
Supplemental Table 6. Propensity Score-Matched Analysis of Patients of VATS vs. Robotic Thymectomy: Baseline Characteristics, Perioperative and Postoperative Data
Patient characteristics
Baseline Characteristics Age, (years, SD) Female, n (%) Race, n (%) White Black Asian Other Charlson Deyo Comorbidity Score, n (%) 0 1 2 3+ Education (% Without HS Diploma), n (%) 21% or more 13% - 20.9% 7% - 12.9% Less than 7% Facility, n (%) Academic/Research Program Community Cancer Program Comprehensive Community Cancer Program Integrated Network Cancer Program Insurance, n (%) Private Medicaid Medicare Other Government Program Uninsured Masaoka Stage, n (%) 1-2a 2b 3 Tumor Size, mm (IQR) Histology, n (%) Thymoma, type A, malignant Thymoma, type AB, malignant Thymoma, type B1, malignant Thymoma, type B2, malignant Thymoma, type B3, malignant Induction therapy, n (%)
VATS (N=77)
RATS (N=77)
61.1 (12.2) 45 (58.4%)
60.9 (10.7) 46 (59.7%)
1.0 2.6
61 (79.2%) 11 (14.3%)
65 (84.4%) <10 (<12%)
11.9 7.5
0 (0%) <10
0 <10
Standardized Differences (%)
<0.1 8.5
62 (80.5%) 11 (14.3%) <10 0
63 (81.8%) 10 (13.0%) <10 0
3.1 3.5 <0.1 <0.1
12 (15.6%) 12 (15.6%) 20 (26.0%) 32 (41.6%)
14 (18.2%) 16 (20.8%) 27 (35.1%) 20 (26.0%)
7.0 12.7 18.6 34.9
38 (49.4%) <10 29 (37.7%) <10
43 (55.8%) 0 19 (24.7%) 12 (15.6%)
13.5 50.0 28.4 38.5
39 (50.6%) <10 33 (42.9%) <10 0
38 (49.4%) <10 33 (42.9%) <10 0
2.6 <0.1 <0.1 10.5 <0.1
48 (62.3%) 19 (24.7%) 10 (13.0%) 45 (35,70)
46 (59.7%) 21 (27.3%) 10 (13.0%) 45 (30,65)
5.4 6.0 <0.1 2.0
12 (15.6%) 23 (30.0%) 15 (19.5%) 16 (20.8%) 11 (14.3%)
16 (20.8%) 23 (30.0%) 11 (14.3%) 23 (30.0%) <10
15.4 <0.1 13.0 21.0 27.1
41
Induction Chemotherapy Induction Chemoradiation Induction Radiation Year of Diagnosis, (IQR) Distance to Facility (IQR) Perioperative Outcomes Surgical margins Negative Microscopic Residual Tumor Macroscopic Residual Tumor Residual Tumor, NOS Unknown Nodes Removed, n (SD) 30-day mortality, n (%) 30-day readmission, n (%) 90-day mortality, n (%) Hospital Length of Stay, n (IQR) Postoperative Therapy Adjuvant Radiotherapy Adjuvant chemotherapy
<10 <10 <10 2013 (2011,2014) 7.5 (2.8,20.0)
<10 0 <10 2013 (2012,2013) 13.5 (5.9,42.6)
18.2 14.7 <0.1 1.0 32.0 p-value 0.52
56 (72.7%) <10 <10 <10 <10 12.7 (31.6) <10 <10 <10 3 (2,4)
59 (76.6%) <10 0 <10 <10 16.7 (35.8) 0 <10 0 2 (1, 3)
0.79 0.32 0.34 0.22 0.08
22 (28.6%) <10
27 (35.1%) 0
0.39 0.02
586
42