Keywords
Endometriosis, Minimally Invasive Surgery, Laparoscopy, Robotic Surgery, Perioperative
Outcomes
Posted Date: September 1st, 2026
DOI: https://doi.org/10.21203/rs.3.rs-10729934/v1
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
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Additional Declarations: No competing interests reported.
Version of Record: A version of this preprint was published at Journal of Robotic Surgery on September
28th, 2026. See the published version at https://doi.org/10.1007/s11701-026-03973-7.
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Abstract
Objective
To compare perioperative outcomes between laparoscopy and robotic-assisted surgery in the surgical
treatment of endometriosis in a high-volume tertiary center.
Methods
Retrospective, observational, and analytical study, including patients who underwent minimally invasive
surgery for the treatment of endometriosis at Einstein Hospital Israelita between 2018 and 2022. A total
of 520 patients were included, with 260 patients in each surgical group. Outcomes evaluated included
surgical time, anesthetic time, length of hospital stay, estimated blood loss, intraoperative complications,
need for intensive care, conversion to laparotomy, and early readmission.
Results
Demographic characteristics were similar between the groups. Robotic-assisted surgery was associated
with significantly shorter operative and anesthetic times, in addition to shorter hospital stays, when
compared to laparoscopic surgery. There was no statistically significant difference between the
approaches in terms of complication rates, surgical conversion, need for intensive care, blood
transfusion, or early readmission.
Conclusion
Both approaches demonstrated a similar safety profile in the surgical treatment of endometriosis.
Robotic-assisted surgery showed greater perioperative efficiency in a center with a mature learning
curve, suggesting a potential advantage in highly complex scenarios.
Introduction
Endometriosis is a chronic and benign gynecological disease that affects approximately 10% of women
in reproductive age and is associated with chronic pelvic pain, dysmenorrhea, dyspareunia, and infertility,
with possible significant impact on quality of life [1–4]. Surgical treatment is indicated in cases who are
refractory to clinical management or in the presence of specific complications, and minimally invasive
surgery occupies a space as the gold standard treatment, especially in the more advanced stages of the
disease [5–8].
Laparoscopic Surgery (LS) has established itself as a consolidated approach in the surgical treatment of
endometriosis because it has proved, along the years, visualization enhancement, lower morbidity, and
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faster recovery when compared to laparotomy. More recently, robotic-assisted laparoscopic surgery
(RALS) has been incorporated as an alternative tool for complex gynecological procedures, offering
technical advantages such as three-dimensional vision, greater instrumental dexterity, and improved
ergonomics [9–11].
However, the literature still presents conflicting results regarding the perioperative benefits of robotic-
assisted surgery in the treatment of endometriosis, particularly in relation to surgical time, anesthetic
time, and hospital stay. Initial studies often associated RALS with longer operative duration, mainly
attributed to docking time and logistical limitations of the platform [10–12]. On the other hand, data from
centers with high surgical volume and a mature learning curve suggest that these differences can be
minimized or even reversed with the maturity of the robotic program.
Considering the importance of this pathology and the impact on the quality of life of patients, the
Objective
of this study was to compare the perioperative outcomes of surgeries performed for the
treatment of endometriosis via laparoscopy versus robot-assisted laparoscopic surgery in a solid and
mature robotic center, in order to improve the care provided to patients at the institution.
Methods
This retrospective observational study was based on the review of electronic medical records of patients
who underwent minimally invasive surgery for the treatment of endometriosis at Einstein Hospital
Israelita (EHI), from 2018 to 2022.
Patients who underwent surgical procedures by laparoscopic surgery or by robot-assisted surgery with
indication for endometriosis treatment were included. After approval by the Research Ethics Committee
of the institution, the eligible medical records were identified by the surgery department and the data
were collected in an anonymized manner through the REDCap platform.
The sample selection was carried out in a balanced manner, with 260 patients in each surgical group,
using a random selection process to avoid selection bias. The medical records were reviewed for
compliance with the inclusion criteria before the final analysis.
The variables analyzed included demographic and clinical characteristics, surgical time, anesthetic time,
length of hospital stay, estimated blood loss, need for transfusion, use of intensive or semi-intensive
care unit, intraoperative complications, conversion to laparotomy, surgical reapproach, and early
readmission.
For the calculation of the sample size expected for statistical significance, a p < 0.05, a mean standard
deviation of 58 populations, and an error of 5% were considered, as based on the article from Ádám
Csirzó et al. (2023). Thus, we analyzed 520 medical records, equally distributed between the two surgical
approaches.
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Statistical Analysis
The data were described for the general sample and by two groups, which were formed by type of
surgical technique for endometriosis treatment (laparoscopy and robot-assisted laparoscopy), using
absolute and relative frequencies for qualitative variables and measures such as median, mean,
standard deviation, quartiles, minimum and maximum for quantitative variables. To compare the
outcomes between the groups, association analyses were performed between qualitative variables,
where chi-square tests were performed (Agresti, 2007), Fisher's exact tests (Agresti, 2007) or likelihood
ratio tests (Agresti, 2007) depending on the variables that were compared. Also, to compare quantitative
variables, their distributions were tested with Shapiro-Wilk normality tests (Altman & Matthews, 1996),
for which all the quantitative variables tested rejected normality and, subsequently, Mann-Whitney tests
were performed (Altman & Matthews, 1996) to compare the distribution between the groups. For the
construction of boxplots in the visualization of quantitative variables to verify the differences between
the groups, the variables were transformed with logarithm due to the large number of discrepant points.
The analyses were carried out with the aid of the R program (R Core Team, 2021) and considering a
significance level of 5%.
Results
We retrospectively analyzed 520 medical records of patients who underwent surgical treatment for
endometriosis at the EHI between 2018 and 2022, 260 of whom underwent conventional laparoscopy
(LS) and 260 underwent robotic-assisted surgery (RALS). The sample was balanced, with 260 patients in
each group.
Sociodemographic characteristics were similar between the LS and RALS groups. The mean age was
36.7 ± 7.1 years in the LS group and 36.5 ± 7.9 years in the RALS group (p = 0.538). The mean body mass
index was also similar between the groups (24.5 ± 4.3 kg/m² in LS versus 24.4 ± 4.3 kg/m² in RALS; p =
0.801). Regarding marital status, most patients in both groups were married (63.5% in the LS group and
61.0% in the RALS group), followed by single patients (24.2% and 26.6%, respectively), with no
statistically significant difference between the distributions (p = 0.801). Likewise, no significant
differences were observed in terms of ethnicity, although a high proportion of unreported data in both
groups stands out.
Significant differences were observed in the surgical history and habits of the patients (Tables 1 and 2).
Patients undergoing RALS reported a higher proportion of previous laparotomic surgeries (29.5%)
compared to the LS group (18.3%). On the other hand, the LS group reported a higher incidence of
previous laparoscopic surgeries (20.8%) compared to the RALS group (12.7%). Patients in the LS group
had a significantly higher rate of prior surgery for endometriosis (18.1%) compared to the RALS group
(5.8%). Regarding the clinical comorbidities evaluated, no statistically significant differences were
observed between the groups submitted to laparoscopic and robotic surgery.
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There was a significant difference in the nature of the procedures performed between the groups.
Resection of endometriosis foci combined with other procedures was more prevalent in LS (50.4%),
whereas the RALS group had a higher proportion of procedures involving resection of endometriosis foci
(71.2%). This association is detailed in Table 3.
Regarding main perioperative outcomes, including operative time, anesthetic time, and length of hospital
stay, there were statistically significant differences between the approaches (Table 3). Mean surgical
time (ST) (in minutes) was significantly shorter in the RALS group (137.2 ± 131.9 min) compared to the
LS group (152.7 ± 96.2 min). Similarly, Mean anesthetic time (AT) (in minutes) was significantly shorter
in the RALS (177.7 ± 106.4 min) compared to the LS (201.0 ± 104.9 min). Postoperative length of stay
(LOH) (in hours) was also significantly shorter for the RALS group (mean of 38.7 hours) compared to the
LS group (mean of 50.2 hours). By isolating only patients whose main diagnosis in the
anatomopathological examination was endometriosis, these trends were maintained: all surgical times,
anesthetic, and hospital stay were significantly lower in the RALS (Table 4).
In order to analyze more specifically the outcomes of the two approaches and to reduce confounding
bias, a comparison was made considering only surgeries for resection of endometriosis foci without
association with other procedures, whether gynecological or non-gynecological.
An association was found between the technique used and the new procedure classification: 51.9%
(135) of the patients with endometriosis who underwent robot-assisted surgery and 35% (91) of those
operated by laparoscopic did not undergo any other procedure in the same surgical procedure. The p-
value observed was < 0.001, highlighting a significant association between the variables.
With significant p-values, surgery (in minutes) and anesthesia (in minutes) length were statistically
different according to the technique performed, all shorter in the robot-assisted pathway. As for the
postoperative length of stay and the amount of blood loss, there is no evidence of an association
between the variables and the technique (Table 5).
An additional analysis was also conducted with the aim of reducing bias introduced by the performance
of non-gynecological procedures during the same surgical time. Only the 487 patients who underwent
gynecological procedures were evaluated (242 in the LS group and 245 in the RALS group), excluding
those who underwent other non-gynecological procedures at the same time. The results of this analysis
corroborate the previous findings: mean surgical time was significantly shorter in the RALS group (131.2
min) compared to the LS group (150.9 min; p < 0.001), as was mean anesthetic time (171.4 min vs.
200.0 min; p < 0.001). Postoperative length of stay was also significantly shorter in the RALS group
(mean of 40.0 hours vs. 53.6 hours in the LS group; p = 0.011). No statistically significant differences
were observed between the groups regarding estimated blood loss, need for intensive care unit
admission, early readmission, or intraoperative complications, reinforcing the equivalent safety profile
between the approaches in this more homogeneous population.
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Regarding safety outcomes, the analysis of the aggregate variable of "some intraoperative complication"
(bladder injury, ureteral injury, intestinal injury, vascular trauma, postoperative bleeding, infection, vaginal
dome dehiscence, sepsis, and conversion to laparotomy) did not show a significant association with the
surgical technique (Table 6). The use of Intensive Care Unit (ICU) or Semi-Intensive Care Unit was rare in
both groups (LS: 1.9%; RALS: 0.4%), with no statistical significance. As well as conversion to laparotomy,
which occurred in 1 case (0.4%) in LS and in 0 cases (0.0%) in RALS (Table 5). There was no statistically
significant difference in estimated blood loss (RPE) between the groups (LS: 82.2 mL; RALS: 55.6 mL). In
the subgroup of patients with endometriosis, the result was also not significant. Regarding readmission
rate, it occurred in 5.0% in the LS and 3.1% in the RALS, also with no statistical difference.
Discussion
The main objective of this study was to compare the perioperative outcomes between laparoscopic
surgery (LS) and robotic-assisted surgery (RALS) in the treatment of endometriosis at a referral center,
Einstein Hospital Israelita over five years. The main findings demonstrate that both approaches had a
similar safety profile, with low complication rates, surgical conversion, and early readmission. However,
the RALS was associated with greater perioperative efficiency, as evidenced by significantly shorter
surgical, anesthetic, and hospital length of stay.
Minimally invasive surgery is widely recognized as the gold standard for the surgical treatment of
endometriosis, especially in more complex cases, in which complete resection of the lesions requires
high technical precision and anatomical preservation [10]. Although the robotic platform was, in its early
years, used to be associated with longer operative time, especially during its implementation phase,
more recent evidence suggests that this alleged disadvantage can be overcome by consolidating the
learning curve and standardizing intraoperative flows.
The results of this study contrast with much of the previus literature, which describes longer surgical
duration associated with RALS compared to LS [10–12]. Traditionally, the increase in operative time in
robotic surgery has been attributed to docking time, the need for specific instrumentation, and logistical
Limitations
in extensive or extrapelvic procedures. In some studies, docking time alone exceeded 10 to
15 minutes [11]. In the present study, however, RALS demonstrated superior temporal performance,
suggesting that, in a mature and solid robotic program and institution, these logistical factors become
less relevant in the face of the technical advantages of the platform.
The shorter operative time observed may be related to multiple institutional factors, including high
surgical volume, consolidated experience of the surgical, anesthetic and multidisciplinary teams,
standardized surgical protocols, and efficient integration between team and technology. The three-
dimensional vision, tremor filtration, and greater freedom of movement provided by the robotic platform
can favor more precise and faster dissections, particularly in scenarios of deep endometriosis or
anatomy distorted by adhesions [11]. Another relevant finding was the significant reduction in the length
of hospital stay in the group undergoing RALS. This result differs from some previous reports, in which
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robotic-assisted surgery was associated with longer hospital stay [12]. In the context evaluated, this
difference may reflect the adoption of accelerated recovery protocols, the shorter duration of the
procedure, and the early clinical stability of patients undergoing RALS, favoring early hospital discharge
with no negative impact on safety outcomes. Although these results point to a clear advantage of the
RALS in the institutional context evaluated, their interpretation requires careful consideration of the
methodological barriers of the present study.
Regarding safety, no statistically significant differences were observed between the approaches in terms
of the rate of intraoperative complications, need for transfusion, use of intensive care unit, or conversion
to laparotomy. These findings reinforce that both LS and RALS are safe approaches for the surgical
treatment of endometriosis when performed in specialized centers, corroborating previously published
data and reinforcing the space of laparoscopy, which is still an important tool in the treatment of
endometriosis. [10–12].
This study has limitations inherent to its retrospective and observational design, which prevents
complete control of potential selection biases and confounding factors. Although the sample was
balanced between the groups, the absence of detailed information on the severity of endometriosis,
classification of lesions, and long-term clinical follow-up limits the evaluation of outcomes such as
disease recurrence, pain control, fertility, and quality of life. In addition, the institution's open clinical staff
model makes it difficult to access outpatient and follow-up data recorded outside the institutional
medical record. Despite these limitations, the results related to immediate perioperative outcomes were
robust and allowed safe comparisons between the two surgical approaches.
Robotic-assisted surgery for the treatment of endometriosis demonstrated safety comparable to
laparoscopic surgery, but with remarkable superiority in efficiency, evidenced by shorter surgical and
anesthetic times, and shorter hospital stay. These findings suggest that, after the learning curve has
been overcome by the surgical and room team, RALS may offer a real advantage in optimizing
perioperative outcomes compared to LS in endometriosis procedures.
The robotic platform, with its improved ergonomics and capabilities (3D vision and increased dexterity),
(11) has the potential to not only enable more surgeons to perform complex minimally invasive surgeries,
but also to increase temporal efficacy in centers with high experience by challenging the assumption
that RALS is inherently associated with longer operative times between RALS and longer operative time.
Prospective randomized studies focusing on cost-effectiveness and long-term outcomes are needed to
consolidate the optimal indication of RALS versus LS in the setting of endometriosis.
Conclusion
In conclusion, RALS provides similar perioperative outcomes in safety to LS, but was associated with
significant superior efficiency metrics in the experience of a mature high-complexity center, in addition to
providing greater ergonomic advantages and technical precision. Although cost and long-term outcomes
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(such as recurrence or fertility preservation) were not evaluated in this retrospective study, the use of
RALS should be considered a highly competitive option for the treatment of endometriosis, especially in
potentially more complex cases, and should be optimized and matured in tertiary centers to maximize its
efficiency. Additional prospective studies are needed to assess cost-effectiveness and confirm these
findings in different settings.
Declarations
Funding
The authors declare that there was no receipt of funding, scholarships, grants or any other type of
financial support for the conduct of this study.
Conflicts of Interest
The authors declare that they have no financial or non-financial conflicts of interest related to the content
of this manuscript.
Ethical Approval
This retrospective study was conducted in accordance with the principles of the Declaration of Helsinki.
The project was approved by the Research Ethics Committee of the Einstein Hospital Israelita.
Consent to Participation
Due to the retrospective nature of the study and the use of anonymized data, individual informed consent
was waived by the Research Ethics Committee of the institution.
Consent to Publication
Not applicable. This study contains no identifiable patient data.
Data Availability
The data supporting the findings of this study are not publicly available due to institutional constraints
related to the confidentiality of medical records but may be made available upon reasonable request to
the corresponding authors and after institutional approval.
Authors' Contributions
All authors contributed to the conception and design of the study. Data collection and analysis were
carried out by the authors. The writing of the manuscript was carried out by the authors, who critically
reviewed the intellectual content and approved the final version submitted.
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Tables
Tables 1 to 6 are available in the Supplementary Files section.
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