The robotic colorectal experience: an outcomes and learning curve analysis of 502 patients

被引:23
作者
Parascandola, Salvatore A. [1 ]
Horsey, Michael L. [1 ]
Hota, Salini [2 ]
Paull, Jessie Osborne [1 ]
Graham, Ada [3 ]
Pudalov, Natalie [4 ]
Smith, Savannah [4 ]
Amdur, Richard [5 ]
Obias, Vincent [5 ]
机构
[1] Walter Reed Natl Mil Med Ctr, Bethesda, MD 20814 USA
[2] Eastern Virginia Med Sch, Norfolk, VA 23501 USA
[3] George Washington Univ Hosp, Dept Colorectal Surg, Washington, DC USA
[4] George Washington Univ, Sch Med & Hlth Sci, Washington, DC 20052 USA
[5] George Washington Univ Med Fac Associates, Dept Surg, Washington, DC USA
关键词
colon; colorectal; minimally invasive; rectal; robotic; RECTAL-CANCER; LAPAROSCOPIC RESECTION; SURGERY; METAANALYSIS;
D O I
10.1111/codi.15398
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Aim This study aimed to present our experience with robotic colorectal surgery since its establishment at our institution in 2009. By examining the outcomes of over 500 patients, our experience provides a basis for assessing the introduction of a robotic platform in a colorectal practice. Specific measures investigated include intraoperative data and postoperative outcomes for all operations using the robotic platform. In addition, for our most commonly performed operations we wished to analyse the learning curve to improve operative proficiency. This is the largest single-surgeon robotic database analysed to date. Method A prospectively maintained database of patients who underwent robotic colorectal surgery by a single surgeon at the George Washington University Hospital was retrospectively reviewed. Demographic data and perioperative outcomes were assessed. Additionally, an operating time learning curve analysis was performed. Results Inclusion criteria identified 502 patients who underwent robotic colorectal surgery between October 2009 and December 2018. The most common indications for surgery were diverticulitis (22.9%), colon adenocarcinoma (22.1%) and rectal adenocarcinoma (19.5%). The most common operations were anterior/low anterior resection (33.9%), right hemicolectomy/ileocaecectomy (24.9%) and left hemicolectomy/sigmoidectomy (21.9%). The rate of conversion to open surgery was 4.8%. The most common postoperative complications were wound infection (5.0%), anastomotic leakage (4.0%) and abscess formation (2.8%). The operating time learning curve plateaued at 55-65 cases for anterior and low anterior resection and 35-45 cases for left hemicolectomy and sigmoidectomy. A clear learning curve was not seen in right hemicolectomy. Conclusion Robotic-assisted surgery can be performed in a diverse colorectal practice with low rates of conversion and postoperative complications. Plateau performance was achieved after 65 anterior/low anterior resections and 45 left and sigmoid colectomies.
引用
收藏
页码:226 / 236
页数:11
相关论文
共 13 条
[1]   Meta-analysis of short-term outcomes after laparoscopic resection for colorectal cancer [J].
Abraham, NS ;
Young, JM ;
Solomon, MJ .
BRITISH JOURNAL OF SURGERY, 2004, 91 (09) :1111-1124
[2]   The robotic approach significantly reduces length of stay after colectomy: a propensity score-matched analysis [J].
Al-Mazrou, Ahmed M. ;
Chiuzan, Codruta ;
Kiran, Ravi P. .
INTERNATIONAL JOURNAL OF COLORECTAL DISEASE, 2017, 32 (10) :1415-1421
[3]   Laparoscopic versus open surgery for rectal cancer: A meta-analysis [J].
Aziz, O ;
Constantinides, V ;
Tekkis, PP ;
Athanasiou, T ;
Purkayastha, S ;
Paraskeva, P ;
Darzi, AW ;
Heriot, AG .
ANNALS OF SURGICAL ONCOLOGY, 2006, 13 (03) :413-424
[4]   Comparison of Risk Factors for Unplanned Conversion from Laparoscopic and Robotic to Open Colorectal Surgery Using the Michigan Surgical Quality Collaborative (MSQC) Database [J].
Bhama, Anuradha R. ;
Wafa, Abdullah M. ;
Ferraro, Jane ;
Collins, Stacey D. ;
Mullard, Andrew J. ;
Vandewarker, James F. ;
Krapohl, Greta ;
Byrn, John C. ;
Cleary, Robert K. .
JOURNAL OF GASTROINTESTINAL SURGERY, 2016, 20 (06) :1223-1230
[5]  
Dehal A, 2016, AM SURGEON, V82, P907
[6]   Learning curve in robotic rectal cancer surgery: current state of affairs [J].
Jimenez-Rodriguez, Rosa M. ;
Rubio-Dorado-Manzanares, Mercedes ;
Manuel Diaz-Pavon, Jose ;
Luisa Reyes-Diaz, M. ;
Manuel Vazquez-Monchul, Jorge ;
Garcia-Cabrera, Ana M. ;
Padillo, Javier ;
De la Portilla, Fernando .
INTERNATIONAL JOURNAL OF COLORECTAL DISEASE, 2016, 31 (12) :1807-1815
[7]   Learning curve for robotic-assisted laparoscopic rectal cancer surgery [J].
Jimenez-Rodriguez, Rosa M. ;
Manuel Diaz-Pavon, Jose ;
de la Portilla de Juan, Fernando ;
Prendes-Sillero, Emilio ;
Cadet Dussort, Hisnard ;
Padillo, Javier .
INTERNATIONAL JOURNAL OF COLORECTAL DISEASE, 2013, 28 (06) :815-821
[8]   Is Minimally Invasive Colon Resection Better Than Traditional Approaches? First Comprehensive National Examination With Propensity Score Matching [J].
Juo, Yen-Yi ;
Hyder, Omar ;
Haider, Adil H. ;
Camp, Melissa ;
Lidor, Anne ;
Ahuja, Nita .
JAMA SURGERY, 2014, 149 (02) :177-184
[9]   How robotics is changing and will change the field of colorectal surgery [J].
Koerner, Crystal ;
Rosen, Seth Alan .
WORLD JOURNAL OF GASTROINTESTINAL SURGERY, 2019, 11 (10) :381-387
[10]   Robotic surgery - A current perspective [J].
Lanfranco, AR ;
Castellanos, AE ;
Desai, JP ;
Meyers, WC .
ANNALS OF SURGERY, 2004, 239 (01) :14-21