首页|Department of Urology Reports Findings in Prostatectomy (Elevating precision: A thorough investigation of multiparametric prostate MRI for prolonged insights in to early continence prediction after robot-assisted laparoscopic prostatectomy)
Department of Urology Reports Findings in Prostatectomy (Elevating precision: A thorough investigation of multiparametric prostate MRI for prolonged insights in to early continence prediction after robot-assisted laparoscopic prostatectomy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Surgery - Prostatectom y is the subject of a report. According to news reporting originating in Istanbu l, Turkey, by NewsRx journalists, research stated, “While radical prostatectomy stands out as one of the most effective curative treatments for prostate cancer, it does come with annoying side effects, such as urinary incontinence (UI). We aimed to investigate the predictability of UI using MRI measurements, along with clinical and disease-related variables.” The news reporters obtained a quote from the research from the Department of Uro logy, “We included 191 patients who underwent robot-assisted laparoscopic radica l prostatectomy between July 2020 and October 2022 in the study. Preoperative MR Is of the patients are re-evaluated by an experienced uroradiologist, and membra nous urethral length (MUL), urethra wall thickness, levator ani thickness, outer levator distance, Lee’s apex shape, intravesical prostate protrusion length, pr ostate apex depth, and pubic height measurements were made. Additionally, retros pective data on patients’ age, BMI, PSA, PSA density, prostate volume, IPSS, cli nical stage, and nerve-sparing status were collected. Patients were categorized into two groups based on continence status in the third postoperative month: con tinent or incontinent. The definition of UI was accepted as the use of one or mo re pads per day. UI was observed in 38.21 % of the patients in the postoperative third month. Among MRI measurements, only MUL showed a significan t relationship with UI (p <0.001). IPSS (p = 0.004) and Cl inical Stage (p <0.001) were also significantly associated with continence status. Logistic regression analysis identified BMI (p = 0.023; CI 0.73-0.97), IPSS (p = 0.002; CI 1.03-1.17), MUL (p = 0.001; CI 0.66-0.90), a nd Clinical Stage (p <0.001; CI 1.53-2.71) as significant predictors. In Multivariable Regression analysis, Clinical Stage emerged as the most powerful predictor of UI (p <0.001). Except for MUL, MRI measurements may not predict postoperative UI. A combination of IPSS, clinic al stage, and MUL effectively informs patients about postoperative outcomes.”
IstanbulTurkeyEurasiaEmerging Tech nologiesHealth and MedicineMachine LearningProstatectomyRobotRoboticsSurgery
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