Elevating precision: A thorough investigation of multiparametric prostate MRI for prolonged insights into early continence prediction after robot-assisted laparoscopic prostatectomy.

BACKGROUND

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.

METHODS

We included 191 patients who underwent robot-assisted laparoscopic radical prostatectomy between July 2020 and October 2022 in the study. Preoperative MRIs of the patients are re-evaluated by an experienced uroradiologist, and membranous urethral length (MUL), urethra wall thickness, levator ani thickness, outer levator distance, Lee's apex shape, intravesical prostate protrusion length, prostate apex depth, and pubic height measurements were made. Additionally, retrospective data on patients' age, BMI, PSA, PSA density, prostate volume, IPSS, clinical stage, and nerve-sparing status were collected. Patients were categorized into two groups based on continence status in the third postoperative month: continent or incontinent. The definition of UI was accepted as the use of one or more pads per day.

RESULTS

UI was observed in 38.21 % of the patients in the postoperative third month. Among MRI measurements, only MUL showed a significant relationship with UI (p < 0.001). IPSS (p = 0.004) and Clinical 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), and 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).

CONCLUSIONS

Except for MUL, MRI measurements may not predict postoperative UI. A combination of IPSS, clinical stage, and MUL effectively informs patients about postoperative outcomes. These findings contribute to enhancing preoperative counseling for patients undergoing radical prostatectomy.