Objectives: Robot-assisted radical prostatectomy (RARP) has been established as first-line surgical therapy for organ-confined prostate cancer (PCa). Pelvic lymph node dissection (PLND) is recommended in case of intermediate and high-risk localized PCa however symptomatic lymphocele (SL) formation is a common complication. Still no certain clinical and surgical predictors of SL have been found in the robotic era. Aim of this study was to identify clinical and surgical predictors of SL after RARP and PLND. Methods: We retrospectively evaluated all consecutive patients undergone RARP and PLND from 01/2017 to 06/2019, at our institution. All procedures were performed by experienced robotic surgeons. Baseline patients’ characteristics, as well as peri- and post-operative features, were recorded and compared among those patients experiencing SL after surgery and those who did not. Results: Overall, 282 patients were included. Of these, 21 (7.5%) developed SL after surgery. Patients with SL showed higher median BMI (30.4 vs 25.8) and a more frequent history of vascular surgery or lymph-vascular disease (23.8% vs 8.4%) compared to patients without SL (p < 0.05). The lymphadenectomy technique adopted during the surgery was also found different in patients diagnosed with SL. At the multivariable analysis (MVA), only the increase of BMI (OR 1.72; CI: 1.47 − 2.81) was found predictor of developing SL. Conclusion: In our experience, the increase of BMI was a significant predictor of SL development in pCa patients submitted to RARP and PLND. This further evidence may be of great help for clinicians in daily clinical practice, in particular during preoperative counseling.
Can we predict the development of symptomatic lymphocele following robot-assisted radical prostatectomy and lymph node dissection? Results from a tertiary referral Centre / Sforza S.; Tellini R.; Grosso A.A.; Zaccaro C.; Viola L.; Di Maida F.; Mari A.; Carini M.; Minervini A.; Masieri L.. - In: SCANDINAVIAN JOURNAL OF UROLOGY. - ISSN 2168-1805. - ELETTRONICO. - 54:(2020), pp. 328-333. [10.1080/21681805.2020.1784270]
Can we predict the development of symptomatic lymphocele following robot-assisted radical prostatectomy and lymph node dissection? Results from a tertiary referral Centre
Sforza S.;Tellini R.;Grosso A. A.;Zaccaro C.;Viola L.;Di Maida F.;Mari A.;Carini M.;Minervini A.;Masieri L.
2020
Abstract
Objectives: Robot-assisted radical prostatectomy (RARP) has been established as first-line surgical therapy for organ-confined prostate cancer (PCa). Pelvic lymph node dissection (PLND) is recommended in case of intermediate and high-risk localized PCa however symptomatic lymphocele (SL) formation is a common complication. Still no certain clinical and surgical predictors of SL have been found in the robotic era. Aim of this study was to identify clinical and surgical predictors of SL after RARP and PLND. Methods: We retrospectively evaluated all consecutive patients undergone RARP and PLND from 01/2017 to 06/2019, at our institution. All procedures were performed by experienced robotic surgeons. Baseline patients’ characteristics, as well as peri- and post-operative features, were recorded and compared among those patients experiencing SL after surgery and those who did not. Results: Overall, 282 patients were included. Of these, 21 (7.5%) developed SL after surgery. Patients with SL showed higher median BMI (30.4 vs 25.8) and a more frequent history of vascular surgery or lymph-vascular disease (23.8% vs 8.4%) compared to patients without SL (p < 0.05). The lymphadenectomy technique adopted during the surgery was also found different in patients diagnosed with SL. At the multivariable analysis (MVA), only the increase of BMI (OR 1.72; CI: 1.47 − 2.81) was found predictor of developing SL. Conclusion: In our experience, the increase of BMI was a significant predictor of SL development in pCa patients submitted to RARP and PLND. This further evidence may be of great help for clinicians in daily clinical practice, in particular during preoperative counseling.File | Dimensione | Formato | |
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