Prediction of organ-confined disease after robot-assisted radical prostatectomy in patients with clinically locally-advanced prostate canceropen access
- Kang, Ho Won; Jung, Hae Do; Lee, Joo Yong; Kwon, Jong Kyou; Jeh, Seong Uk; Cho, Kang Su; Ham, Won Sik; Choi, Young Deuk
- Issue Date
- ELSEVIER SINGAPORE PTE LTD
- Robotics; Prostatic neoplasms; Prostatectomy; Treatment outcome
- ASIAN JOURNAL OF SURGERY, v.42, no.1, pp.120 - 125
- Journal Title
- ASIAN JOURNAL OF SURGERY
- Start Page
- End Page
- Background: Little is known about the preoperative predictive factors that could identify subsets of favorable patients who can be possibly cured with robot-assisted radical prostatectomy (RARP) alone in locally advanced prostate cancer (LAPCa). Our study was designed to identify clinical predictors of pathologic organ-confined disease (pOCD) in RARP setting. Methods: Between 2007 and 2013, clinicopathological and oncological data from 273 consecutive men undergoing robot-assisted RP with extended PLND for clinically LAPCa were reviewed in a single-institution, retrospectively. After exclusion of patients who received neoadjuvant hormone treatment before surgery, 186 subjects satisfied the final inclusion criteria. Results: Fourty-three patients (23.1% of total cohort) with preoperative clinically LAPCa patients were down-staged to pOCD following RARP. Preoperative prostate-specific antigen (PSA) level, preoperative PSAD, positive core percent, maximal tumor volume in any core, and biopsy Gleason score were significantly associated with down-staging into pOCD following RARP. Multivariate logistic regression analysis revealed that lower preoperative PSA (<= 10 ng/mL) and maximal tumor volume in any core (<= 70%) were independent predictors of pOCD following RARP. Conclusions: Approximately 23% of preoperative clinically LAPCa patients were down-staged to pOCD following RARP. Preoperative PSA and maximal tumor volume in any biopsy core might be useful clinical predictors of pOCD in clinically LAPCa patients in RARP setting. (C) 2017 Asian Surgical Association and Taiwan Robotic Surgery Association.
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- College of Medicine > Department of Medicine > Journal Articles
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