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HOME > Cancer Res Treat > Volume 48(2); 2016 > Article
Review Article Robotic Surgery for Rectal Cancer: An Update in 2015
Jung Myun Kwak, MD, PhD, Seon Hahn Kim, MD, PhD
Cancer Research and Treatment : Official Journal of Korean Cancer Association 2016;48(2):427-435.
DOI: https://doi.org/10.4143/crt.2015.478
Published online: February 3, 2016

Colorectal Division, Department of Surgery, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea

Correspondence: Seon Hahn Kim, MD, PhD  Colorectal Division , Department of Surgery, Korea University Anam Hospital, Korea University College of Medicine, 73 Inchon-ro, Seongbuk-gu, Seoul 02841, Korea 
Tel: 82-2-920-6644 Fax: 82-2-928-1631 E-mail: drkimsh@korea.ac.kr
• Received: December 11, 2015   • Accepted: January 19, 2016

Copyright © 2016 by the Korean Cancer Association

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • During the last decade, robotic surgery for rectal cancer has rapidly gained acceptance among colorectal surgeons worldwide, with well-established safety and feasibility. The lower conversion rate and better surgical specimen quality of robotic compared with laparoscopic surgery potentially improves survival. Earlier recovery of voiding and sexual function after robotic total mesorectal excision is another favorable outcome. Long-term survival data are sparse with no evidence that robotic surgery offers major benefits in oncological outcomes. Although initial reports are promising, more rigorous scientific evaluation in multicenter, randomized clinical trials should be performed to definitely determine the advantages of robotic rectal cancer surgery.
Since a robotic surgical system was developed in the early 1990s and the first robotic-assisted radical prostatectomy (RARP) was reported in 2001 [1], robotic surgery has spread in many surgical specialties, changing surgical management. In the United States, RARP has increased steeply from 8% of radical prostatectomies in 2004 to 67% in 2010 [2]. Likewise, the number and indications for robotic gynecological surgery have continued to expand [3].
Over the past decade, robotic surgery has undergone substantial changes for pelvic procedures and been applied to colorectal surgery. Colorectal surgeons expected that robotic surgery would resolve technical difficulties associated with laparoscopic surgery, which has a steep learning curve. Since the first report of robotic-assisted colectomies by Weber et al. [4] in 2002, a variety of colorectal procedures have used robot assistance for a range of diseases [5-8].
Currently, compared to other colorectal procedures, robotic surgery appears to offer great benefits for total mesorectal excision (TME) for rectal cancer. For example, abdominal cavity procedures such as right hemicolectomy and high anterior resection are relatively uncomplicated and can be performed easily by laparoscopic surgery. According to a recent study that analyzed nationwide data on current surgical management for colorectal cancer surgery in Korea, robotic surgery was used for 185 cases of rectal cancer in 2008, increasing steadily to 490 cases in 2013. In contrast, robotic colon cancer surgery decreased from 110 cases in 2009 to only 10 cases in 2013 [9]. Furthermore, robotic colorectal surgery is more expensive than conventional laparoscopy.
Most relevant recent reports have focused on the clinical benefits of robotic rectal cancer surgery compared with laparoscopic surgery [10-27]. The indications for robotic and laparoscopic rectal cancer surgery are not different. No contraindications apply solely to robotic surgery for rectal cancer. However, no clear advantage supporting the use of this expensive technology has been demonstrated. For robotic rectal cancer surgery to become the preferred minimally invasive option, it must demonstrate that it does not have the technical difficulties and steep learning curve of laparoscopic surgery. Therefore, we reviewed current evidence to compare surgical, pathological, functional, and oncological outcomes of robotic and laparoscopic surgery for rectal cancer.
We searched the MEDLINE database with PubMed for all articles published between 2002 and 2015 using the keywords “robot*,” “da Vinci,” “colo*,” and “*rectal.” We also manually searched articles using references from related articles. The final search was performed in November 2015. Only papers published in English were included; studies with only abstracts and meeting reports were excluded. Articles were chosen for their relationship to the topic. When multiple studies used the same patient population, the most recent publication was used.
Robotic surgery for rectal cancer has been established as safe and feasible. Short-term surgical outcomes of robotic surgery for rectal cancer were reviewed and compared with laparoscopic or open rectal cancer surgery; results are in Table 1.
Initially, a longer operating time was generally accepted to be a drawback of robotic rectal cancer surgery compared with laparoscopic procedures. However, recent studies report equivalent or even shorter operating times for robotic surgery for rectal cancer [10,13,16,21]. As most studies were published by highly experienced laparoscopic colorectal surgeons, the main reason underlying the initially reported lengthy operating times for robotic surgery was likely a difference in the level of mastery for the two operative techniques. Operating time does not appear to be an issue after surgeons accumulate experience and overcome the learning curve.
An excellent conversion rate is consistently reported in initial studies of robotic surgery. Because converted patients have higher complication rates and worse oncological outcomes, the low conversion rate for robotic rectal cancer surgery suggests expected better postoperative courses and improved oncological outcomes [28-31]. Postoperative recovery appears to be similar for robotic and laparoscopic surgery. Postoperative complication rates are also similar for these two procedures.
Pathological outcomes for several prognostic indicators for robotic and laparoscopic surgery groups are in Table 2 [10-27]. It is well established that increasing the number of retrieved lymph nodes has a strong impact on prognosis [32]. Circumferential resection margin (CRM) involvement in surgical specimens is a well-known prognostic factor for local recurrence [33,34]. The length of the distal resection margin and TME completeness are thought to reflect surgical quality and affect long-term oncological outcomes.
Most studies did not find significant differences between robotic and laparoscopic rectal cancer surgery in number of retrieved lymph nodes. Based on recommendations from the College of American Pathologists about the minimum number of nodes to be dissected, the reported mean and median numbers of retrieved lymph nodes are acceptable [35]. The length of distal resection margins was not significantly different for robotic, laparoscopic (or open) surgery for patients who underwent rectal cancer surgery. The rate of CRM involvement was also not different between the two groups in all except one series [21].
Macroassessment and microassessment of surgical specimens quality are made by pathologists to determine TME completeness, another predictor of local recurrence [36]. Baik et al. [37] indicated that the macroscopic completeness of TME for surgical specimens represents TME quality more precisely than CRM involvement, because CRM involvement is influenced by surgical quality and location, size and progression of the tumor and metastatic lymph nodes. Baik et al. [37] reported that macroscopic TME grading of specimens was significantly better in a robotic surgery group (92.9% for robotic vs. 75.4% for laparoscopic surgery, p=0.033). Allemann et al. [10] also reported significantly better TME quality in a robotic than a laparoscopic group (complete TME: 95% vs. 55%, p=0.0003) and a trend for a lower rate of CRM involvement in the robotic group (10% vs. 25%, p=0.1). However, other studies failed to demonstrate the superiority of robotic over laparoscopic surgery for TME quality or reported quantitatively poorer TME quality for robotic than laparoscopic surgery [12-14,17]. Because demonstrating the clinical benefits of robotic surgery for rectal cancer is difficult, some studies have evaluated TME quality as the primary endpoint. However, no evidence indicates that better TME quality translates into better survival from robotic rectal cancer surgery [10,16,37].
Long-term survival data are sparse (Table 3). Cho et al. [11] performed case-matched analyses of long-term oncological outcomes for fully robotic and laparoscopic TME patients, excluding hybrid robotic surgery. No significant differences were found between the two groups for 5-year overall, or disease-specific, disease-free, or local recurrence-free survival. Another study from the same institution by Park et al. [16] compared 133 hybrid-robotic surgeries and 84 laparoscopic low-anterior resections for rectal cancer by a single surgeon. The mean follow-up period was 54.4 months. The 5-year overall survival and disease-free survival rates were not different between the two groups. Cumulative incidence of local recurrence was excellent in both groups: 2.3% in the robotic group and 1.2% in the laparoscopic group (p=0.649). Ghezzi et al. [18] compared survival in robotic and open rectal cancer surgery groups. Mean follow-up was 46.7 and 55.1 months, respectively. Five-year overall, disease-specific, and disease-free survival rates were not different between the robot and open groups; however, the 5-year cumulative local recurrence rate was significantly lower in the robot group (3.2% vs. 16.1%, p=0.024).
At present, no evidence supports that robotic surgery offers major benefits in surgical or oncological outcomes. Currently, several randomized controlled trials are underway to address whether robotic surgery has more favorable surgical and oncological outcomes compared with laparoscopic surgery. However, oncological outcomes should be equal, regardless of surgical approach, with strict adherence to surgical principles. For prostate cancer, multiple RARP series have demonstrated the safety, efficiency, and reproducibility of the procedure, although it does not have superior oncological outcomes compared to laparoscopic or open surgery [38-40]. Despite the higher medical cost and lack of advantages, a growing number of radical prostatectomies are performed with robotic assistance. We anticipate an increase in rectal cancers treated with robotic surgery without waiting for clear demonstration of its oncological benefits.
Voiding and sexual dysfunctions after rectal cancer surgery are common and well-known sequelae. The incidences of postoperative urinary and sexual dysfunction have decreased notably since the introduction of TME and autonomic nerve preservation techniques. Nonetheless, these adverse events remain a serious problem, with 4%-10% of TME patients reporting urinary dysfunction and 5%-30% reporting sexual dysfunction [41-44]. Regardless of the advantages of a laparoscopic approach such as magnified view and direct visualization of the low pelvis, the technical difficulties associated with laparoscopic surgery increase the risk of inadvertent damage to autonomic nerves. In the MRC CLASICC trial, laparoscopic rectal resection did not cause voiding dysfunction but tended to adversely affect male sexual function. Particularly, TME and conversion to open surgery were identified as independent risk factors for worse male sexual function [45].
Robotic TME is hypothesized to achieve better preservation of urinary and sexual functions than laparoscopic TME. Technological advantages in robotic surgical systems, including advanced three-dimensional views, finer dissection using the freely articulating EndoWrist, and stable traction with a third robotic arm are expected to result in greater preservation of autonomic nerves than with laparoscopic surgery. The low conversion rate of robotic TME compared to laparoscopic TME supports this hypothesis and currently available evidence is promising. Kim et al. [46] compared voiding and sexual function before and after robotic or laparoscopic TME for rectal cancer. The study demonstrated that voiding and sexual function recovered earlier in a robotic TME group than a laparoscopic group [46]. Park et al. [47] compared functional outcomes of robotic and laparoscopic intersphincteric resection for low rectal cancer, and reported a trend toward earlier recovery of male sexual function in the robotic than the laparoscopic group. A report by D’Annibale et al. [21] demonstrated that erectile function was preserved in all sexually active patients who underwent robotic TME. However, function was preserved only in 43% of patients who underwent laparoscopic TME and this difference was statistically significant (p=0.045) [21]. These results should be interpreted with caution because of the relatively small number of patients enrolled in the three studies. Publication bias is another consideration.
Recently developed robotic instruments and new robotic platform technologies require further investigation. An example is the robotic stapler (da Vinci EndoWrist Stapler 45), which we have used in our recent rectal surgery practice. This stapler is fully controlled from a surgeon’s console, provides a full cone of articulation, and features SmartClamp feedback. Software detects adequate closure of the stapler jaws on the target tissue based on tissue thickness. We are interested in determining whether use of this instrument results in better clinical outcomes, particularly for anastomotic leakage.
FireFly fluorescence imaging with current surgical robotic systems provides integrated fluorescence images using nearinfrared technology. The images allow surgeons to distinguish cancerous from normal tissue and evaluate organ and tissue perfusion. Although indications for fluorescence imaging are limited to assessment of anastomotic perfusion in colorectal surgery, future technological advances and development of new fluorescent agents will expand its clinical applications [48-50].
Undoubtedly, future robotic systems will have little resemblance to the machines that are in use today. The extent to which current robotic surgical systems will undergo evolutionary changes over the next decades is unclear. Many research and development groups are working to develop robotic technologies. The development of artificial intelligence [51,52], miniaturization of surgical robots [53,54], incorporation of nanotechnology [51], and development of telepresence surgery with improved communication systems are all likely to impact robotic surgery in the near future.
Although robotic rectal cancer surgery is expensive, its safety and feasibility are well established. Its lower conversion rate and better surgical specimen quality compared to laparoscopic surgery may potentially improve survival. Although initial reports are promising, randomized clinical trials should be performed to definitely determine the safety, efficacy, and long-term oncological and functional benefits of robotic rectal cancer surgery.
As the technology for surgical robots continues to advance rapidly, future robotic systems will become increasingly affordable and more refined. Adoption of new technology occurs over time, and technological advantages will ensure that robotic surgical systems are eventually part of the normal armamentarium for routine surgical tasks.

Conflict of interest relevant to this article was not reported.

Table 1.
Comparison of clinical outcomes between robotic, laparoscopic, and open surgery for rectal cancer
Reference Country (year) Study design Surgery Sample size Operating time (min) EBL(mL) Conversion (%) Hospital stay (day) Total complications (%)
Allemann et al. [10] Switzerland (2015) Case matched Robot 20 291 58±76 5 NA 40
Lap 40 313 219±421 20 NA 35
Cho et al. [11] Korea (2015) Case matched Robot 278 361.6±91.9* 179.0±236.5 0.4 10.4±5.6 25.9
Lap 278 272.4±83.8 147.0±295.3 0.7 10.7±6.6 23.7
Kim et al. [12] Korea (2015) Case matched Robot 33 441.0±90.2* 232.0±180.0 6.1 10.9±6.2 45.6
Lap 66 277.0±83.2 205.0±163.8 0.0 13.1±12.8 39.4
Levic et al. [13] Denmark (2015) Nonrandomized comparative Robot 56 247 (130-511) 50 (0-400) 5.4 8 (4-100)* 23.2
Single port lap 36 295 (108-465) 35 (0-400) 0.0 7 (3-51) 27.8
Serin et al. [14] Turkey (2015) Nonrandomized comparative Robot 14 182 (140-220)* NA 0.0 5 (4-10) 14.3
Lap 65 140 (90-300) NA 3.1 6 (2-32) 24.6
Yamaguchi et al. [15] Japan (2015) Nonrandomized comparative Robot 203 232.9±72.0 15.4±26.4* 0.0* 7.3±2.3* 8.9
Lap 239 227.6±62.6 39.1±85.1 3.3 9.3±6.7 22.6
Park et al. [16] Korea (2015) Nonrandomized comparative Robot 133 205.7±67.3 77.6±153.2 0.0* 5.86±1.43* 7.5
Lap 84 208.8±81.2 82.3±185.5 7.1 6.54±2.65 9.5
Bamajian et al. [17] USA (2014) Case matched Robot 20 240 (150-540) 125 (50-650) 0.0 6 (4-31) 40
Lap 20 180 (140-480) 175 (50-900) 10 7 (5-36) 10
Open 20 240 (115-475) 250 (50-800) NA 7 (3-16) 15
Ghezzi et al. [18] Italy (2014) Nonrandomized comparative Robot 65 299.0±58.0* 0 (0-175)* 1.5 6 (5-8)* 41.5
Open 109 207.5±56.5 150 (0-400) NA 9 (8-10) 41.3
Ielpo et al. [19] Spain (2014) Nonrandomized comparative Robot 56 309±84* 280±35.3 3.5 13±10.5 26.8
Lap 87 252±90 240±53.7 11.5 10±3.6 23
Tam et al. [20] USA (2014) Nonrandomized comparative Robot 21 260 (189-449)* 150 (30-2,000) 5.0 6 (4-23)* 42.9
Lap 21 240 (171-360) 100 (50-1,200) 0.0 5 (3-14) 33.3
D'Annibale et al. [21]a) Italy (2013) Nonrandomized comparative Robot 50 270 (240-315) NA 0.0* 8 (7-11)* 10
Lap 50 280 (240-350) NA 12.0 10 (8-14) 22
Fernandez et al. [22] USA (2013) Nonrandomized comparative Robot 13 528 (416-700)* 157 (50-550) 8 13±29 NA
Lap/HAL 59 344 (183-735) 200 (25-1,500) 17 8±45 NA
Kim et al. [23] Korea (2012) Case matched Robot 100 188±45 NA 0.0 7.1±2.1 NA
Open 100 103±23 NA NA 6.9±1.5 NA
Kwak et al. [24]a) Korea (2011) Case matched Robot 59 270 (241-325)* NA 0.0 NA 32.2
Lap 59 228 (177-254) NA 3.4 NA 27.1
Park et al. [25] Korea (2011) Case matched Robot 41 231.9±61.4* NA 0.0 9.9±4.2 29.3
Lap 82 168.6±49.3 NA 0.0 9.4±2.9 23.2
Bianchi et al. [26] Italy (2010) Case matched Robot 25 240 (170-420) NA 0.0 6.5 (4-15) 16
Lap 25 237 (170-545) NA 4 6.0 (4-20) 24
Patriti et al. [27] Italy (2009) Nonrandomized comparative Robot 29 202±12 137.4±156 0.0* 11.9±7.5 30.6
Lap 37 208±7 127±169 29.2 9.6±6.9 18.9

EBL, estimated blood loss; NA, not available; Lap, laparoscopic; HAL, hand-assisted laparoscopic.

* p < 0.05.

a) Values in parentheses are interquartile ranges.

Table 2.
Comparison of pathological outcomes between robotic, laparoscopic, and open surgery for rectal cancer
Reference Country (year) Study design Surgery Sample No. of retrieved LNs DRM (cm) CRM involved (%) TME completeness (%)
Allemartn et al. [10] Switzerland (2015) Case matched Robot 20 24±14 NA 10 95*
Lap 40 20±7 NA 25 55
Cho et al. [11] Korea (2015) Case matched Robot 278 15.0±8.1 2.0±1.4 5.0 NA
Lap 278 16.2±8.1 2.2±1.4 4.7 NA
Kim et al. [12] Korea (2015) Case matched Robot 33 22.3±11.7 2.2±1.5 16.1 97
Lap 66 21.6±11.0 2.2±1.7 6.7 91
Levic et al. [13] Denmark (2015) Nonrandomized comparative Robot 56 21 (7-83)* 3.0 (0.5-0.8) NA 60.7
Single port lap 36 13 (3-33) 3.0 (0.5-0.75) NA 72.2
Serin et al. [14] Turkey (2015) Nonrandomized comparative Robot 14 32 (17-56)* 2.75 (0.5-6.0)* NA 100
Lap 65 23 (4-67) 1.5 (1.0-7.0) NA 80
Yamaguchi et al. [15] Japan (2015) Nonrandomized comparative Robot 203 30.0±10.3 2.8±1.9 NA NA
Lap 239 29.3±11.8 3.2±2.2 NA NA
Park et al. [16] Korea (2015) Nonrandomized comparative Robot 133 16.34±8.79 2.75±2.14 6.8 NA
Lap 84 16.63±10.24 2.87±1.63 7.1 NA
Bamajian et al. [17] USA (2014) Case matched Robot 20 14 (3-22) 2.1 (0.5-5.0) NA 80
Lap 20 11 (4-18) 2.2 (0.1-5.5) NA 95
Open 20 12 (4-20) 2.1 (0.1-4.5) NA 95
Ghezzi et al. [18] Brazil/Italy (2014) Nonrandomized comparative Robot 65 20.1±10.3* 2.7 (1.6-4.4) 0 NA
Open 109 14.1±6.2 2.2 (1.5-3.0) 1.8 NA
Ielpo et al. [19] Spain (2014) Nonrandomized comparative Robot 56 10±8 NA 3.6 NA
Lap 87 9±4.8 NA 2.3 NA
Tam et al. [20] USA (2014) Nonrandomized comparative Robot 21 17 (8-40)* 3.9 (1.0-18) 0.0 NA
Lap 21 15 (8-21) 5.5 (0.5-8) 4.7 NA
D’Annibale et al. [21] Italy (2013) Nonrandomized comparative Robot 50 16.5±7.1 3±1.1 0.0* NA
Lap 50 13.8±6.7 3±1.6 12.0 NA
Fernandez et al. [22] USA (2013) Nonrandomized comparative Robot 13 16±2.0 NA 0.0 69
Lap/HAL 59 20±2.0 NA 1.7 73
Kim et al. [23] Korea (2012) Case matched Robot 100 20±6.9 2.7±1.7* 1.0 NA
Open 100 19.6±8.5 1.9±1.3 1.0 NA
Kwak et al. [24]a) Korea (2011) Case matched Robot 59 20 (12-27) 2.2 (1.5-3.0) 1.7 NA
Lap 59 21 (14-28) 2.0 (1.2-3.5) 0.0 NA
Park et al. [25] Korea (2011) Case matched Robot 41 17.3±7.7 2.1±1.4 4.9 NA
Lap 82 14.2±8.9 2.3±1.5 3.7 NA
Bianchi et al. [26] Italy (2010) Case matched Robot 25 18 (7-34) NA 0.0 NA
Lap 25 17(8-37) NA 4.0 NA
Patriti et al. [27] Italy (2009) Nonrandomized comparative Robot 29 10.3±4 2.1±0.9 0.0 NA
Lap 37 11.2±5 4.5±7.2 0.0 NA

LN, lymph node; DRM, distal resection margin; CRM, circumferential resection margin; TME, total mesorectal excision; NA, not available; Lap, laparoscopic; HAL, hand-assisted laparoscopic.

* p < 0.05.

a) Values in parentheses are interquartile ranges.

Table 3.
Comparison of long-term oncological outcomes between robotic, laparoscopic, and open surgery for rectal cancer
Reference Country (year) Study design Surgery Sample size Follow-up period (mo) 5-Yr OS (%) 5-Yr DSS (%) 5-Yr DFS (%) 5-Yr cumulative local recurrence rate (%)
Cho et al. [11] Korea (2015) Case matched Robot 278 51.0±13.1 92.2 93.6 81.8 5.9
Lap 278 52.5±17.1 93.1 95.5 79.6 3.9
Park et al. [16] Korea (2015) Nonrandomized comparative Robot 133 54.4±17.3 92.8 NA 81.9 2.3
Lap 84 93.5 NA 78.7 1.2
Ghezzi et al. [18] Brazil/Italy (2014) Nonrandomized comparative Robot 65 46.7±11.5 85 86.6 73.2 3.2*
Open 109 55.1±12.2 76.1 78.3 69.5 16.1

OS, overall survival; DSS, disease-specific survival; DFS, disease-free survival; Lap, laparoscopic; NA, not available.

* p < 0.05.

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      Robotic Surgery for Rectal Cancer: An Update in 2015
      Cancer Res Treat. 2016;48(2):427-435.   Published online February 3, 2016
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    Robotic Surgery for Rectal Cancer: An Update in 2015
    Robotic Surgery for Rectal Cancer: An Update in 2015
    Reference Country (year) Study design Surgery Sample size Operating time (min) EBL(mL) Conversion (%) Hospital stay (day) Total complications (%)
    Allemann et al. [10] Switzerland (2015) Case matched Robot 20 291 58±76 5 NA 40
    Lap 40 313 219±421 20 NA 35
    Cho et al. [11] Korea (2015) Case matched Robot 278 361.6±91.9* 179.0±236.5 0.4 10.4±5.6 25.9
    Lap 278 272.4±83.8 147.0±295.3 0.7 10.7±6.6 23.7
    Kim et al. [12] Korea (2015) Case matched Robot 33 441.0±90.2* 232.0±180.0 6.1 10.9±6.2 45.6
    Lap 66 277.0±83.2 205.0±163.8 0.0 13.1±12.8 39.4
    Levic et al. [13] Denmark (2015) Nonrandomized comparative Robot 56 247 (130-511) 50 (0-400) 5.4 8 (4-100)* 23.2
    Single port lap 36 295 (108-465) 35 (0-400) 0.0 7 (3-51) 27.8
    Serin et al. [14] Turkey (2015) Nonrandomized comparative Robot 14 182 (140-220)* NA 0.0 5 (4-10) 14.3
    Lap 65 140 (90-300) NA 3.1 6 (2-32) 24.6
    Yamaguchi et al. [15] Japan (2015) Nonrandomized comparative Robot 203 232.9±72.0 15.4±26.4* 0.0* 7.3±2.3* 8.9
    Lap 239 227.6±62.6 39.1±85.1 3.3 9.3±6.7 22.6
    Park et al. [16] Korea (2015) Nonrandomized comparative Robot 133 205.7±67.3 77.6±153.2 0.0* 5.86±1.43* 7.5
    Lap 84 208.8±81.2 82.3±185.5 7.1 6.54±2.65 9.5
    Bamajian et al. [17] USA (2014) Case matched Robot 20 240 (150-540) 125 (50-650) 0.0 6 (4-31) 40
    Lap 20 180 (140-480) 175 (50-900) 10 7 (5-36) 10
    Open 20 240 (115-475) 250 (50-800) NA 7 (3-16) 15
    Ghezzi et al. [18] Italy (2014) Nonrandomized comparative Robot 65 299.0±58.0* 0 (0-175)* 1.5 6 (5-8)* 41.5
    Open 109 207.5±56.5 150 (0-400) NA 9 (8-10) 41.3
    Ielpo et al. [19] Spain (2014) Nonrandomized comparative Robot 56 309±84* 280±35.3 3.5 13±10.5 26.8
    Lap 87 252±90 240±53.7 11.5 10±3.6 23
    Tam et al. [20] USA (2014) Nonrandomized comparative Robot 21 260 (189-449)* 150 (30-2,000) 5.0 6 (4-23)* 42.9
    Lap 21 240 (171-360) 100 (50-1,200) 0.0 5 (3-14) 33.3
    D'Annibale et al. [21]a) Italy (2013) Nonrandomized comparative Robot 50 270 (240-315) NA 0.0* 8 (7-11)* 10
    Lap 50 280 (240-350) NA 12.0 10 (8-14) 22
    Fernandez et al. [22] USA (2013) Nonrandomized comparative Robot 13 528 (416-700)* 157 (50-550) 8 13±29 NA
    Lap/HAL 59 344 (183-735) 200 (25-1,500) 17 8±45 NA
    Kim et al. [23] Korea (2012) Case matched Robot 100 188±45 NA 0.0 7.1±2.1 NA
    Open 100 103±23 NA NA 6.9±1.5 NA
    Kwak et al. [24]a) Korea (2011) Case matched Robot 59 270 (241-325)* NA 0.0 NA 32.2
    Lap 59 228 (177-254) NA 3.4 NA 27.1
    Park et al. [25] Korea (2011) Case matched Robot 41 231.9±61.4* NA 0.0 9.9±4.2 29.3
    Lap 82 168.6±49.3 NA 0.0 9.4±2.9 23.2
    Bianchi et al. [26] Italy (2010) Case matched Robot 25 240 (170-420) NA 0.0 6.5 (4-15) 16
    Lap 25 237 (170-545) NA 4 6.0 (4-20) 24
    Patriti et al. [27] Italy (2009) Nonrandomized comparative Robot 29 202±12 137.4±156 0.0* 11.9±7.5 30.6
    Lap 37 208±7 127±169 29.2 9.6±6.9 18.9
    Reference Country (year) Study design Surgery Sample No. of retrieved LNs DRM (cm) CRM involved (%) TME completeness (%)
    Allemartn et al. [10] Switzerland (2015) Case matched Robot 20 24±14 NA 10 95*
    Lap 40 20±7 NA 25 55
    Cho et al. [11] Korea (2015) Case matched Robot 278 15.0±8.1 2.0±1.4 5.0 NA
    Lap 278 16.2±8.1 2.2±1.4 4.7 NA
    Kim et al. [12] Korea (2015) Case matched Robot 33 22.3±11.7 2.2±1.5 16.1 97
    Lap 66 21.6±11.0 2.2±1.7 6.7 91
    Levic et al. [13] Denmark (2015) Nonrandomized comparative Robot 56 21 (7-83)* 3.0 (0.5-0.8) NA 60.7
    Single port lap 36 13 (3-33) 3.0 (0.5-0.75) NA 72.2
    Serin et al. [14] Turkey (2015) Nonrandomized comparative Robot 14 32 (17-56)* 2.75 (0.5-6.0)* NA 100
    Lap 65 23 (4-67) 1.5 (1.0-7.0) NA 80
    Yamaguchi et al. [15] Japan (2015) Nonrandomized comparative Robot 203 30.0±10.3 2.8±1.9 NA NA
    Lap 239 29.3±11.8 3.2±2.2 NA NA
    Park et al. [16] Korea (2015) Nonrandomized comparative Robot 133 16.34±8.79 2.75±2.14 6.8 NA
    Lap 84 16.63±10.24 2.87±1.63 7.1 NA
    Bamajian et al. [17] USA (2014) Case matched Robot 20 14 (3-22) 2.1 (0.5-5.0) NA 80
    Lap 20 11 (4-18) 2.2 (0.1-5.5) NA 95
    Open 20 12 (4-20) 2.1 (0.1-4.5) NA 95
    Ghezzi et al. [18] Brazil/Italy (2014) Nonrandomized comparative Robot 65 20.1±10.3* 2.7 (1.6-4.4) 0 NA
    Open 109 14.1±6.2 2.2 (1.5-3.0) 1.8 NA
    Ielpo et al. [19] Spain (2014) Nonrandomized comparative Robot 56 10±8 NA 3.6 NA
    Lap 87 9±4.8 NA 2.3 NA
    Tam et al. [20] USA (2014) Nonrandomized comparative Robot 21 17 (8-40)* 3.9 (1.0-18) 0.0 NA
    Lap 21 15 (8-21) 5.5 (0.5-8) 4.7 NA
    D’Annibale et al. [21] Italy (2013) Nonrandomized comparative Robot 50 16.5±7.1 3±1.1 0.0* NA
    Lap 50 13.8±6.7 3±1.6 12.0 NA
    Fernandez et al. [22] USA (2013) Nonrandomized comparative Robot 13 16±2.0 NA 0.0 69
    Lap/HAL 59 20±2.0 NA 1.7 73
    Kim et al. [23] Korea (2012) Case matched Robot 100 20±6.9 2.7±1.7* 1.0 NA
    Open 100 19.6±8.5 1.9±1.3 1.0 NA
    Kwak et al. [24]a) Korea (2011) Case matched Robot 59 20 (12-27) 2.2 (1.5-3.0) 1.7 NA
    Lap 59 21 (14-28) 2.0 (1.2-3.5) 0.0 NA
    Park et al. [25] Korea (2011) Case matched Robot 41 17.3±7.7 2.1±1.4 4.9 NA
    Lap 82 14.2±8.9 2.3±1.5 3.7 NA
    Bianchi et al. [26] Italy (2010) Case matched Robot 25 18 (7-34) NA 0.0 NA
    Lap 25 17(8-37) NA 4.0 NA
    Patriti et al. [27] Italy (2009) Nonrandomized comparative Robot 29 10.3±4 2.1±0.9 0.0 NA
    Lap 37 11.2±5 4.5±7.2 0.0 NA
    Reference Country (year) Study design Surgery Sample size Follow-up period (mo) 5-Yr OS (%) 5-Yr DSS (%) 5-Yr DFS (%) 5-Yr cumulative local recurrence rate (%)
    Cho et al. [11] Korea (2015) Case matched Robot 278 51.0±13.1 92.2 93.6 81.8 5.9
    Lap 278 52.5±17.1 93.1 95.5 79.6 3.9
    Park et al. [16] Korea (2015) Nonrandomized comparative Robot 133 54.4±17.3 92.8 NA 81.9 2.3
    Lap 84 93.5 NA 78.7 1.2
    Ghezzi et al. [18] Brazil/Italy (2014) Nonrandomized comparative Robot 65 46.7±11.5 85 86.6 73.2 3.2*
    Open 109 55.1±12.2 76.1 78.3 69.5 16.1
    Table 1. Comparison of clinical outcomes between robotic, laparoscopic, and open surgery for rectal cancer

    EBL, estimated blood loss; NA, not available; Lap, laparoscopic; HAL, hand-assisted laparoscopic.

    p < 0.05.

    Values in parentheses are interquartile ranges.

    Table 2. Comparison of pathological outcomes between robotic, laparoscopic, and open surgery for rectal cancer

    LN, lymph node; DRM, distal resection margin; CRM, circumferential resection margin; TME, total mesorectal excision; NA, not available; Lap, laparoscopic; HAL, hand-assisted laparoscopic.

    p < 0.05.

    Values in parentheses are interquartile ranges.

    Table 3. Comparison of long-term oncological outcomes between robotic, laparoscopic, and open surgery for rectal cancer

    OS, overall survival; DSS, disease-specific survival; DFS, disease-free survival; Lap, laparoscopic; NA, not available.

    p < 0.05.


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