01:45pm Thursday 17 October 2019

Robotic Prostatectomy Gains Momentum as New Study Shows Low Complication Rate

New Brunswick, N.J.– While sharp debate continues among medical professionals as to whether a radical prostatectomy performed with the assistance of a robotic device is more beneficial than the traditional open surgery method, research just published by investigators at The Cancer Institute of New Jersey (CINJ) shows new evidence supporting the safety of the robotic procedure – including what is believed to be one of the lowest complication rates to date. CINJ is a Center of Excellence of UMDNJ-Robert Wood Johnson Medical School.

Robotic prostatectomy allows a surgeon to look through a set of three-dimensional goggles at a console, while controlling a set of robotic arms across the room that maneuver instrument tips the size of a dime.  Studies at high-volume centers have shown that the robotic procedure, which has become more commonplace over the past decade, results in a shorter hospital stay, less blood loss, and faster recovery of sexual and urinary functions compared to the traditional surgical method of radical retropubic prostatectomy.  In 2008, 60 percent of radical prostatectomies performed in the U.S. were completed with the robotic method (British Journal of Urology International, 2008).

Isaac Yi Kim, MD, PhD, chief of CINJ’s Section of Urologic Oncology and associate professor of surgery at UMDNJ-Robert Wood Johnson Medical School, has performed over 650 robotic prostatectomies over the last five years.  This latest study, which appears in the August online issue of the Journal of Endourology ahead of the September print edition (Vol. 24, No. 9), retrospectively examined the medical records associated with the first 200 procedures performed (between January 2006 and December 2007) by Dr. Kim at Robert Wood Johnson University Hospital — the Flagship Hospital of CINJ.  The patients were divided into four groups according to order of case number.  Complications both during and after surgery were determined according to Clavien classification, which is the common scale used to help identify level of surgical complications. 

Overall, 24 men (12 percent) experienced various complications either during surgery or following the procedure for more than one year.  Five of the men experienced complications during surgery and 19 exhibited postoperative complications.

According to Clavien classification, nine of these patients were established as grade I, which is designated as any deviation from the normal course of the operation without the need for therapy.  An additional nine men were classified as grade II, which is defined as complications requiring treatment with drugs.  Six men were listed as grade IIIb complications, which is identified as complications requiring surgical, endoscopic or radiological intervention.  The category is further divided into “a” and “b” based on the need for general anesthesia.  Grade IV indicates life-threatening complications and grade V represents patient death due to complications.  In this study, there were no grade IV or V complications identified among the group.  

No significant differences were reported between the group with complications and the group without in terms of age, body-mass index, biopsy Gleason score and operative time. The study did show however, that those patients who experienced complications did have a higher prostate specific antigen level, larger estimated blood loss and longer hospital stay.

Mean blood loss was measured at a mean 189 milliliters, but there was no need for a blood transfusion for any of the 200 patients during the procedures. 

“Many studies on negative surgical outcomes related to robotic prostatectomy have been reported, but we believe to date, our study is demonstrating one of the lowest overall complication rates of 12 percent without any grade four or five complications,” said Kim, who also is the executive director of the Dean and Betty Gallo Prostate Cancer Center at CINJ and senior author of the study. “And as we continue to analyze patient outcomes after every 50 procedures, we are able to better recognize and address adverse trends in order to improve safety, thus helping to provide ideal outcomes for patients undergoing robotic prostatectomy.”

Along with Kim, the author team consists of Jeongyun Jeong, MD, PhD, and Eun Yong Choi, MD, both of CINJ and UMDNJ-Robert Wood Johnson Medical School.

About The Cancer Institute of New Jersey

The Cancer Institute of New Jersey (www.cinj.org) is the state’s first and only National Cancer Institute-designated Comprehensive Cancer Center dedicated to improving the detection, treatment and care of patients with cancer, and serving as an education resource for cancer prevention. CINJ’s physician-scientists engage in translational research, transforming their laboratory discoveries into clinical practice, quite literally bringing research to life.  To make a tax-deductible gift to support CINJ, call 732-235-8614 or visit www.cinjfoundation.org. CINJ is a Center of Excellence of UMDNJ-Robert Wood Johnson Medical School. 

The CINJ Network is comprised of hospitals throughout the state and provides a mechanism to rapidly disseminate important discoveries into the community. Flagship Hospital: Robert Wood Johnson University Hospital. Major Clinical Research Affiliate Hospitals: Carol G. Simon Cancer Center at Morristown Memorial Hospital, Carol G. Simon Cancer Center at Overlook Hospital, Cooper University Hospital and Jersey Shore University Medical Center. Affiliate Hospitals: Bayshore Community Hospital, CentraState Healthcare System, JFK Medical Center, Mountainside Hospital, Raritan Bay Medical Center, Robert Wood Johnson University Hospital at Hamilton (CINJ at Hamilton), Saint Peter’s University Hospital, Somerset Medical Center, Southern Ocean County Hospital, The University Hospital/UMDNJ-New Jersey Medical School*, and University Medical Center at Princeton. *Academic Affiliate


Contact: Michele Fisher                                                         
Phone: 732-235-9872
E-mail: fisherm2@umdnj.edu

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