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Effect of prostate and bony pelvic dimensions measured by preoperative magnetic resonance imaging on robot-assisted radical prostatectomy

Bone pelvic dimensions and body habitus may have effects on robot-assisted radical prostatectomy (RARP). In this study, we examined the effects of body mass index, bone pelvis measurements and prostate measurements on console time (CT), decrease in postoperative hemogram level (DHL) and surgical mar...

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Bibliographic Details
Published in:Journal of robotic surgery 2022-12, Vol.16 (6), p.1483-1489
Main Authors: Yılmaz, Kayhan, Aktaş, Yasin, Ölçücü, Mahmut Taha, Aksaray, Eren Erdi, Çakır, Serdar, Ateş, Mutlu
Format: Article
Language:English
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Summary:Bone pelvic dimensions and body habitus may have effects on robot-assisted radical prostatectomy (RARP). In this study, we examined the effects of body mass index, bone pelvis measurements and prostate measurements on console time (CT), decrease in postoperative hemogram level (DHL) and surgical margin(SM) in patients who underwent RARP for clinically localized prostate cancer in our institution. The data of transperitoneal RARP cases performed by a single surgeon between November 2016 and August 2020 were analyzed retrospectively. It was included in 125 patients who met the study criteria. Bone and soft tissue measurements were made on magnetic resonance imaging T2-weighted imaging in the mid-sagittal and transvers plane. In multivariate linear regression analyzes, only soft tissue width/transverse diameter of the prostate and CT were found to be correlated ( p  = 0.026). For the DHL, no pelvic dimension and body habitus had a significant association on multivariate linear regression analysis. In multivariate analyzes, a statistically significant difference was found only between pathological Gleason Score and SM ( p  = 0.008). Although we found statistically significant associations between prostate diameters and pelvic bone measurements and operative difficulties, we believe that further studies are needed to confirm these results. Such information can help identify patients with challenging anatomy and can be used in robotic surgery training to achieve optimal patient outcomes after RARP.
ISSN:1863-2491
1863-2483
1863-2491
DOI:10.1007/s11701-022-01402-z