Literature DB >> 29127531

Impact of a robotic surgical system on treatment choice for men with clinically organ-confined prostate cancer.

Takashi Kobayashi1, Kent Kanao2, Motoo Araki3, Naoki Terada1,4, Yasuyuki Kobayashi3, Atsuro Sawada1, Takahiro Inoue1, Shin Ebara3, Toyohiko Watanabe3, Tomomi Kamba1,5, Makoto Sumitomo2, Yasutomo Nasu3, Osamu Ogawa6.   

Abstract

BACKGROUND: Introducing a new surgical technology may affect behaviors and attitudes of patients and surgeons about clinical practice. Robot-assisted laparoscopic radical prostatectomy (RALP) was approved in 2012 in Japan. We investigated whether the introduction of this system affected the treatment of organ-confined prostate cancer (PCa) and the use of radical prostatectomy (RP).
METHODS: We conducted a retrospective multicenter study on 718 patients with clinically determined organ-confined PCa treated at one of three Japanese academic institutions in 2011 (n = 338) or 2013 (n = 380). Two patient groups formed according to the treatment year were compared regarding the clinical characteristics of PCa, whether referred or screened at our hospital, comorbidities and surgical risk, and choice of primary treatment.
RESULTS: Distribution of PCa risk was not changed by the introduction of RALP. Use of RP increased by 70% (from 127 to 221 cases, p < 0.0001), whereas the number of those undergoing radiotherapy or androgen deprivation therapy decreased irrespective of the disease risk of PCa. Increased use of RP (from 34 to 100 cases) for intermediate- or high-risk PCa patients with mild perioperative risk (American Society of Anesthesiologists score 2) accounted for 70% of the total RP increase, whereas the number of low- or very low-risk PCa patients with high comorbidity scores (Charlson Index ≥ 4) increased from 8 to 25 cases, accounting for 18%. Use of expectant management (active surveillance, watchful waiting) in very low-risk PCa patients was 15% in 2011 and 12% in 2013 (p = 0.791).
CONCLUSIONS: Introduction of a robotic surgical system had little effect on the risk distribution of PCa. Use of RP increased, apparently due to increased indications in patients who are candidates for RP but have mild perioperative risk. Although small, there was an increase in the number of RPs performed on patients with severe comorbidities but with low-risk or very low-risk PCa.

Entities:  

Keywords:  Expectant management; Patient preference; Prostate cancer; Robot-assisted radical prostatectomy; Treatment choice

Mesh:

Year:  2017        PMID: 29127531     DOI: 10.1007/s10147-017-1203-1

Source DB:  PubMed          Journal:  Int J Clin Oncol        ISSN: 1341-9625            Impact factor:   3.402


  23 in total

1.  Evidence-based clinical practice Guidelines for Prostate Cancer (Summary - JUA 2006 Edition).

Authors:  Sadao Kamidono; Shinichi Ohshima; Yoshihiko Hirao; Kazuhiro Suzuki; Yoichi Arai; Hiroyuki Fujimoto; Shin Egawa; Hideyuki Akaza; Isao Hara; Shiro Hinotsu; Yoshiyuki Kakehi; Tomonori Hasegawa
Journal:  Int J Urol       Date:  2008-01       Impact factor: 3.369

2.  Outcomes of men with screen-detected prostate cancer eligible for active surveillance who were managed expectantly.

Authors:  Roderick C N van den Bergh; Stijn Roemeling; Monique J Roobol; Gunnar Aus; Jonas Hugosson; Antti S Rannikko; Teuvo L Tammela; Chris H Bangma; Fritz H Schröder
Journal:  Eur Urol       Date:  2008-09-17       Impact factor: 20.096

3.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

4.  Robot-assisted laparoscopic prostatectomy versus open radical retropubic prostatectomy: early outcomes from a randomised controlled phase 3 study.

Authors:  John W Yaxley; Geoffrey D Coughlin; Suzanne K Chambers; Stefano Occhipinti; Hema Samaratunga; Leah Zajdlewicz; Nigel Dunglison; Rob Carter; Scott Williams; Diane J Payton; Joanna Perry-Keene; Martin F Lavin; Robert A Gardiner
Journal:  Lancet       Date:  2016-07-26       Impact factor: 79.321

5.  Active surveillance program for prostate cancer: an update of the Johns Hopkins experience.

Authors:  Jeffrey J Tosoian; Bruce J Trock; Patricia Landis; Zhaoyong Feng; Jonathan I Epstein; Alan W Partin; Patrick C Walsh; H Ballentine Carter
Journal:  J Clin Oncol       Date:  2011-04-04       Impact factor: 44.544

6.  Careful selection and close monitoring of low-risk prostate cancer patients on active surveillance minimizes the need for treatment.

Authors:  Mark S Soloway; Cynthia T Soloway; Ahmed Eldefrawy; Kristell Acosta; Bruce Kava; Murugesan Manoharan
Journal:  Eur Urol       Date:  2010-08-20       Impact factor: 20.096

7.  Technology diffusion and diagnostic testing for prostate cancer.

Authors:  Florian R Schroeck; Samuel R Kaufman; Bruce L Jacobs; Ted A Skolarus; David C Miller; Alon Z Weizer; Jeffrey S Montgomery; John T Wei; Vahakn B Shahinian; Brent K Hollenbeck
Journal:  J Urol       Date:  2013-05-10       Impact factor: 7.450

8.  Clinical results of long-term follow-up of a large, active surveillance cohort with localized prostate cancer.

Authors:  Laurence Klotz; Liying Zhang; Adam Lam; Robert Nam; Alexandre Mamedov; Andrew Loblaw
Journal:  J Clin Oncol       Date:  2009-11-16       Impact factor: 44.544

9.  Accessibility to surgical robot technology and prostate-cancer patient behavior for prostatectomy.

Authors:  Toru Sugihara; Hideo Yasunaga; Hiroki Matsui; Go Nagao; Akira Ishikawa; Tetsuya Fujimura; Hiroshi Fukuhara; Kiyohide Fushimi; Makoto Ohori; Yukio Homma
Journal:  Jpn J Clin Oncol       Date:  2017-07-01       Impact factor: 3.019

10.  Robot-assisted versus other types of radical prostatectomy: population-based safety and cost comparison in Japan, 2012-2013.

Authors:  Toru Sugihara; Hideo Yasunaga; Hiromasa Horiguchi; Hiroki Matsui; Tetsuya Fujimura; Hiroaki Nishimatsu; Hiroshi Fukuhara; Haruki Kume; Yu Changhong; Michael W Kattan; Kiyohide Fushimi; Yukio Homma
Journal:  Cancer Sci       Date:  2014-09-25       Impact factor: 6.716

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  1 in total

1.  Mesorectal fat area as a useful predictor of the difficulty of robotic-assisted laparoscopic total mesorectal excision for rectal cancer.

Authors:  Yusuke Yamaoka; Tomohiro Yamaguchi; Yusuke Kinugasa; Akio Shiomi; Hiroyasu Kagawa; Yushi Yamakawa; Akinobu Furutani; Shoichi Manabe; Kakeru Torii; Kohei Koido; Keita Mori
Journal:  Surg Endosc       Date:  2018-07-13       Impact factor: 4.584

  1 in total

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