Robotic Surgery in Colorectal Cancer

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Clinical Research of Cancer".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 811

Special Issue Editor


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Guest Editor
Department of Surgery, Changi General Hospital, Singapore, Singapore
Interests: colorectal surgery; minimally invasive surgery; robotic surgery; therapeutic endoscopy

Special Issue Information

Dear Colleagues,

Many colorectal cancer patients have benefited from minimally invasive surgery. To a certain extent, the adoption and applicability of conventional laparoscopy have been curtailed by the technical limitations imposed by the equipment. Robotic surgery has been developed to address some of these issues. While early studies on robotic surgery in colorectal cancer focused on its feasibility and safety, more contemporary studies have sought to compare its outcomes with laparoscopy—in particular, its cost effectiveness.

We are pleased to invite you to contribute original research or review articles to this Special Issue, focusing on the use of robotic surgery in colorectal cancer and how recent data have helped us to distinguish it from conventional laparoscopy. Studies addressing the clinical outcomes, ergonomics, and costs are welcomed.

Dr. James Chi Yong Ngu
Guest Editor

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Keywords

  • robotic surgery
  • colorectal cancer
  • minimally invasive surgery
  • therapeutic endoscopy
  • laparoscopy

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Published Papers (1 paper)

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Review

21 pages, 913 KiB  
Review
Learning Curve for Robotic Colorectal Surgery
by Neng Wei Wong, Nan Zun Teo and James Chi-Yong Ngu
Cancers 2024, 16(19), 3420; https://doi.org/10.3390/cancers16193420 - 8 Oct 2024
Viewed by 563
Abstract
With the increasing adoption of robotic surgery in clinical practice, institutions intending to adopt this technology should understand the learning curve in order to develop strategies to help its surgeons and operating theater teams overcome it in a safe manner without compromising on [...] Read more.
With the increasing adoption of robotic surgery in clinical practice, institutions intending to adopt this technology should understand the learning curve in order to develop strategies to help its surgeons and operating theater teams overcome it in a safe manner without compromising on patient care. Various statistical methods exist for the analysis of learning curves, of which a cumulative sum (CUSUM) analysis is more commonly described in the literature. Variables used for analysis can be classified into measures of the surgical process (e.g., operative time and pathological quality) and measures of patient outcome (e.g., postoperative complications). Heterogeneity exists in how performance thresholds are defined during the interpretation of learning curves. Factors that influence the learning curve include prior surgical experience in colorectal surgery, being in a mature robotic surgical unit, case mix and case complexity, robotic surgical simulation, spending time as a bedside first assistant, and being in a structured training program with proctorship. Full article
(This article belongs to the Special Issue Robotic Surgery in Colorectal Cancer)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Robotic-Assisted Colon Cancer Surgery: Faster Recovery and Fewer Complications Compared to Laparoscopy in retrospective propensity matching study
Authors: Chun-Yu Lin a,b*, Yi-Chun Liu a,c,d*, Chou-Chen Chen b,d , Ming-Cheng Chen b, e, Teng-Yi Chiu b, Yi-Lin Huang b, Shih-Wei Chiang b, Chang-Lin Lin b, Ying-Jing Chen b, Chen-Yen Lin b, Jin-Ching Lin a,c
Affiliation: a.Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan b.Division of Colorectal Surgery, Department of Surgery, Taichung Veterans General Hospital,Taichung, Taiwan c.Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan d.Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan e.School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan f. Department of Radiation Oncology, Changhua Christian Hospital, Changhua, Taiwan g. College of humanities and social sciences, Providence University, Taichung, Taiwan
Abstract: Background Colorectal cancer (CRC) is one of the most common cancers worldwide, ranking third in incidence and second in cancer-related deaths globally. In 2020, the global incidence of CRC was approximately 1.9 million new cases annually. Colon cancer accounts for around 60% of all CRC cases. Surgery is the optimal treatment for stage I-III colon cancer. Minimally invasive techniques, such as robotic-assisted surgery (RAS) and laparoscopic surgery (LSS), can reduce recovery time and minimize complications. The choice between these techniques for colon cancer resection often depends on the surgeon and the facilities available. This study analyzes perioperative outcomes between RAS and LSS in colon cancer resections. Material and Methods Between January 1, 2018, and February 29, 2023, we retrospectively collected data on colon cancer patients with clinical stage I-III who underwent elective colon resection via either robotic-assisted or laparoscopic surgery. Preoperative characteristics, intraoperative outcomes, and postoperative recovery indicators were gathered and compared between the two groups. The primary outcome was recovery time , while the secondary outcome was surgery-related complications. Data analysis was conducted from June 1 to August 15, 2024. Result A total of 179 robotic-assisted surgeries and 652 laparoscopic surgeries were analyzed. After propensity matching for gender, age, lesion site, and ASA score, there were 179 cases in the RAS group and 358 cases in the LSS group. RAS was associated with significantly longer operative times (mean: 284.4 ± 66.5 vs. 209.5 ± 85.2 minutes, p<0.001) but fewer conversions to open surgery (0.6% vs. 3.9%, p=0.026). Postoperative recovery was faster in the RAS group, with earlier initiation of drinking, eating, and bowel movements, and shorter hospital stays (5.8 ± 4.9 vs. 9.2 ± 6.2 days, p<0.001). A higher proportion of textbook outcomes was also noted. The diuretic phase occurred earlier in the RAS group (1.0 vs. 3.0 days, p=0.001), and postoperative pain scores were significantly lower in the RAS group (3.1 vs. 5.0, p=0.001). RAS was associated with lower rates of minor complications, including significantly fewer instances of ileus (8.4% vs. 21.5%, p<0.001) and chyle leakage (0% vs. 2.1%, p=0.049). There was a trend toward fewer cardiovascular events (0.0% vs. 2.2%, p=0.057), pneumonia (3.4% vs. 5.7%, p=0.255), and urinary tract infections (1.1% vs. 2.8%, p=0.353) in the RAS group. The risk of major complications was similar between the groups (4.5% vs. 5.3%, p=0.675), with identical anastomotic leakage rates (2.2% vs. 2.2%, p=1.000). However, the readmission rate was higher in the RAS group (10.6% vs. 6.1%, p=0.066), primarily due to minor complications (83.3%). Conclusions Robotic-assisted surgery for colon cancer demonstrates significant advantages in terms of faster recovery, less postoperative pain, and fewer minor complications compared to conventional laparoscopic surgery.

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