Cumulative summation graphs are a useful tool for monitoring positive surgical margin rates in robot-assisted radical prostatectomy

被引:25
|
作者
Williams, Andrew K.
Chalasani, Venu
Martinez, Carlos H.
Osbourne, Erica
Stitt, Larry
Izawa, Jonathan I.
Pautler, Stephen E.
机构
[1] Univ Western Ontario, Dept Surg, Div Urol, London, ON N6A 3K7, Canada
[2] Univ Western Ontario, Dept Surg, Div Surg Oncol, London, ON N6A 3K7, Canada
[3] Univ Western Ontario, Dept Oncol, Div Urol, London, ON, Canada
[4] Univ Western Ontario, Dept Oncol, Div Surg Oncol, London, ON, Canada
关键词
prostatic neoplasms; prostatectomy; outcome assessment (Health Care); CUSUM; quality control; robotics; LEARNING-CURVE; CANCER;
D O I
10.1111/j.1464-410X.2010.09634.x
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
What's known on the subject? and What does the study add? Whilst the technique of robot-assisted radical prostatectomy has rapidly been adopted by surgeons there is little information on techniques used for quality control when a surgeon is learning this new surgical technique. Cummulative summation graphs have been used in cardiothoracic surgery to monitor complications with good effect and have been shown to be useful in monitoring outcomes from cystectomy. We demonstrate that using the technique of cumulative summation graphs a surgeon can monitor their progress prospectively through a learning curve without having to wait to perform a retrospective analysis. This study demonstrates that margin positive rates in radical prostatectomy can be monitored in real time and adjustments in technique applied to allow a surgeon to continually monitor and improve their surgical results. OBJECTIVE center dot To explore the usefulness of cumulative summation (CUSUM) graphs for monitoring positive surgical margin (PSM) rates during a surgeon's transition from open to robot-assisted radical prostatectomy (RARP). PATIENTS AND METHODS center dot Data were prospectively collected from patients undergoing RARP by a single surgeon. center dot Preoperatively all patients were either low or moderate risk under the D'Amico classification system. center dot A CUSUM graph was charted retrospectively to analyse the PSM rate in patients undergoing RARP for pathological stage T2 (pT2) disease. center dot Acceptable and unacceptable PSM rates were set at 10% and 15% respectively. RESULTS center dot From a cohort of 226 patients, 158 patients with pT2 disease were selected. The mean (range) age of these patients was 59.2 (39-73) years, the median (range) Gleason score was 6 (4-9), the mean (range) PSA was 6.43 (0.52-17.5) ng/mL and the mean (range) prostate volume was 44 (18-120) cm3. In all, 21 patients had PSMs (13%). center dot CUSUM graphs were produced and clearly demonstrated the change in PSM rate over time. CONCLUSION center dot CUSUM graphs are a novel and useful visual representation of the learning curve for surgeons. center dot PSM rates in patients with pT2 disease are a good outcome to monitor using CUSUM graphs as they are binary and lack the confounding factors associated with other outcomes such as continence and erectile dysfunction. center dot We advocate the use of CUSUM graphs as a method of quality assurance with the introduction of a robotics programme.
引用
收藏
页码:1648 / 1652
页数:5
相关论文
共 50 条
  • [31] Linear extent of positive surgical margin impacts biochemical recurrence after robot-assisted radical prostatectomy in a high-volume center
    Porcaro, Antonio Benito
    Tafuri, Alessandro
    Sebben, Marco
    Amigoni, Nelia
    Shakir, Aliasger
    Corsi, Paolo
    Processali, Tania
    Pirozzi, Marco
    Rizzetto, Riccardo
    Bernasconi, Riccardo
    Cerrato, Clara
    Tiso, Leone
    Migliorini, Filippo
    Novella, Giovanni
    Brunelli, Matteo
    De Marco, Vincenzo
    Siracusano, Salvatore
    Artibani, Walter
    JOURNAL OF ROBOTIC SURGERY, 2020, 14 (04) : 663 - 675
  • [32] Positive Surgical Margins Rate of Retzius-Sparing Robot-Assisted Radical Prostatectomy in a Contemporary, Unselected Cohort
    Bahouth, Zaher
    Laniado, Marc
    Fowler, Ross
    Charlesworth, Philip J. S.
    JOURNAL OF UROLOGY, 2022, 207 (03) : 609 - 615
  • [33] Risk classification system using the detailed positive surgical margin status for predicting biochemical recurrence after robot-assisted radical prostatectomy
    Hatayama, Tomoya
    Goto, Keisuke
    Fujiyama, Kenta
    Goriki, Akihiro
    Kaneko, Mayumi
    Mita, Koji
    ASIA-PACIFIC JOURNAL OF CLINICAL ONCOLOGY, 2025, 21 (02) : 156 - 162
  • [34] Predictors of surgical difficulty according to surgical proficiency in robot-assisted radical prostatectomy
    Uchida, Takato
    Hasegawa, Masanori
    Umemoto, Tatsuya
    Nakajima, Nobuyuki
    Nitta, Masahiro
    Kawamura, Yoshiaki
    Shoji, Sunao
    Miyajima, Akira
    SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES, 2024, 38 (06): : 3416 - 3424
  • [35] Development and Validation of an Objective Scoring Tool for Robot-Assisted Radical Prostatectomy: Prostatectomy Assessment and Competency Evaluation
    Hussein, Ahmed A.
    Ghani, Khurshid R.
    Peabody, James
    Sarle, Richard
    Abaza, Ronney
    Eun, Daniel
    Hu, Jim
    Fumo, Michael
    Lane, Brian
    Montgomery, Jeffrey S.
    Hinata, Nobuyuki
    Rooney, Deborah
    Comstock, Bryan
    Chan, Hei Kit
    Mane, Sridhar S.
    Mohler, James L.
    Wilding, Gregory
    Miller, David
    Guru, Khurshid A.
    JOURNAL OF UROLOGY, 2017, 197 (05) : 1237 - 1243
  • [36] Comparison of oncological outcomes between retropubic radical prostatectomy and robot-assisted radical prostatectomy: an analysis stratified by surgical experience
    Jinsung Park
    Dae-Seon Yoo
    Cheryn Song
    Sahyun Park
    Sejun Park
    Seong Cheol Kim
    Yongmee Cho
    Hanjong Ahn
    World Journal of Urology, 2014, 32 : 193 - 199
  • [37] Bimanual examination of the retrieved specimen and regional hypothermia during robot-assisted radical prostatectomy: a novel technique for reducing positive surgical margin and achieving pelvic cooling
    Jeong, Wooju
    Sood, Akshay
    Ghani, Khurshid R.
    Pucheril, Dan
    Sammon, Jesse D.
    Gupta, Nilesh S.
    Menon, Mani
    Peabody, James O.
    BJU INTERNATIONAL, 2014, 114 (06) : 955 - 957
  • [38] Development of risk-score model in patients with negative surgical margin after robot-assisted radical prostatectomy
    Yamada, Yuta
    Fujii, Yoichi
    Kakutani, Shigenori
    Kimura, Naoki
    Sugimoto, Kazuma
    Hakozaki, Yuji
    Sugihara, Toru
    Takeshima, Yuta
    Kawai, Taketo
    Nakamura, Masaki
    Kamei, Jun
    Taguchi, Satoru
    Akiyama, Yoshiyuki
    Sato, Yusuke
    Yamada, Daisuke
    Urabe, Fumihiko
    Miyazaki, Hideyo
    Enomoto, Yutaka
    Fukuhara, Hiroshi
    Nakagawa, Tohru
    Fujimura, Tetsuya
    Kume, Haruki
    SCIENTIFIC REPORTS, 2024, 14 (01)
  • [39] Current status of robot-assisted laparoscopic radical prostatectomy: How does it compare with other surgical approaches?
    Lim, Sey Kiat
    Kim, Kwang Hyun
    Shin, Tae-Young
    Rha, Koon Ho
    INTERNATIONAL JOURNAL OF UROLOGY, 2013, 20 (03) : 271 - 284
  • [40] Linking surgical skills to postoperative outcomes: a Delphi study on the robot-assisted radical prostatectomy
    Beulens, A. J. W.
    Brinkman, W. M.
    Van der Poel, H. G.
    Vis, A. N.
    van Basten, J. P.
    Meijer, R. P.
    Wijburg, C. J.
    Hendrikx, A. J. M.
    van Merrienboer, J. J. G.
    Wagner, C.
    JOURNAL OF ROBOTIC SURGERY, 2019, 13 (05) : 675 - 687