Patients
421 patients with prostate cancer who underwent RS-RARP in the department of urology of Nanjing Drum Tower Hospital from June 2018 to June 2022 were retrospectively collected
Inclusion criteria:
(1) Prostate biopsy and postoperative pathology were confirmed as prostate cancer, and the preoperative Gleason score and postoperative pathological Gleason score were less than or equal to 8 points (including 3+3,3+4,4+3,4+4+3+5);
(2) The pelvis or prostate were examined by multi parameter magnetic resonance imaging before operation;
(3) The clinical baseline data and imaging data of the patients were evaluated by surgeon and an experienced radiologist. The tumor was localized, and the preoperative TMN staging was within T2C, without regional lymph node metastasis or distant metastasis; AJCC prognosis group was grouped in IIIA stage;
(4) Patients were generally in good condition, without serious underlying diseases, and could tolerate surgery;
(5) Patients were followed up by the prostate cancer postoperative follow-up center. The follow-up data were complete, and the follow-up time was ≥ 6 months.
Exclusion criteria:
(1) The preoperative imaging stage of patients was>T2C or recurrent and metastatic cancer;
(2) Patients had severe lower urinary tract symptoms before operation and had a history of catheter or previous TURP operation;
(3) Patients received hormone therapy or radiotherapy before operation;
(4) Patients had history of abdominal trauma or surgery;
(5) Patients were complicated with other malignant tumors;
(6) Patients were converted to open surgery or complicated with severe postoperative complications;
(7) Patients had delayed catheter removal (>14 days);
(8) The patients' clinical, imaging and pathological data were incomplete or the follow-up was lost;
(9) The compliance of postoperative functional training was poor, and the reliability of follow-up was low.
A total of 280 cases meeting the above inclusion and exclusion criteria were finally included.
We collected perioperative data of patients: age, body mass index (BMI), BMI=weight/height2 (kg/m2), preoperative serum prostate specific antigen (PSA), prostate biopsy and postoperative pathological Gleason score, TNM staging (NCCN guideline 2022.4), AJCC prognosis group staging, intraoperative blood loss and console time, hospitalization time (total time from admission to discharge), positive surgical margin, NVB preservation during operation.
MRI imaging and Pelvimetry Measurements
Preoperative multi parameter MRI 3.0T prostate scan or pelvic scan measurement parameters (Figure1~4):
Prostate volume (PV): prostate width × length × height × (π/6);
Prostate apex depth (PAD): the vertical distance from the upper edge of the pubic symphysis to the apex of the prostate measured on sagittal T2WI images.
Pelvic inlet diameter (PID): the distance from the innermost edge of the superior border of pubic symphysis to the sacral promontory measured on sagittal T2WI images.
Pelvic depth (PD): the distance from the innermost edge of the inferior border of pubic symphysis to the sacral promontory measured on sagittal T2WI images.
Symphysis angle: the angle between the long axis of the pubic symphysis and the horizontal line measured on sagittal T2WI images.
Pelvic outlet diameter (POD): the distance between the tips of the ischial spines measured on axial T2WI image.
Pelvic cavity index (PCI): pelvic inlet diameter × pelvic outlet diameter/pelvic depth. PCI=PID×POD/PD.
Prostate muscle index (PMI): the sum of the distance between the inner edge of the obturator internus muscle and the lateral edge of the prostate measured on axial T2WI image showing the maximum width of the prostate.
Surgical techniques
The operation was completed by Da Vinci Xi (Intuitive surgical) operated by one senior doctor. The surgical method was RS-RARP, referring to the surgical methods reported by galfano et al. and lim et al. 6; 15
Postoperative follow-up data collection
According to the follow-up and telephone follow-up data of the prostate cancer follow-up center, the postoperative recovery of urinary continence and urinary incontinence were counted. The cut-off point of follow-up: immediate urinary continence after catheter removal (14 days after operation) and urinary continence 1 month, 3 months and 6 months after operation. Evaluation criteria for recovery of urinary continence: no need to use a urinary pad, or only one prophylactic urinary pad is needed every day, and the score of international incontinence consultation questionnaire short form (ICIQ-SF) is ≤ 2.
The study was approved by the Review Board of Affiliated Drum Tower Hospital, Medical School of Nanjing University (2017- 044-02) and was performed in accordance with the Declaration of Helsinki. We obtained written informed consent from each patient before surgery.
Statistical analyses
Imaging data statistics were checked by an imaging doctor and a urologist. Other clinical data and follow-up prognosis of patients were unknown at the time of statistics. All data were analyzed by SPSS 26.0 statistical software. For those continuous variables that conform to normal distribution or approximate normal distribution, they are expressed as mean ± standard deviation, and Student t test is used; The data of non normal distribution were expressed by median and quartile m (P25, p75), and the comparison between groups was performed by nonparametric test; The counting data are expressed in examples and percentages. The binary variables were expressed as percentages and analyzed by chi square test and Fisher exact test. Univariate logistic regression analysis was used to screen the risk factors significantly related to the recovery of urinary continence and operation related indicators, and the predictive efficacy of baseline data was obtained. The factors with P value less than 0.05 will enter the multivariate Logsitic regression analysis. Multivariate logistic regression was used to analyze the independent risk factors for the recovery of urinary continence after RS-RARP. Subsequently, we focused on the variables of interest and constructed a logistic regression prediction model, drew the ROC curve to determine the discrimination ability and the best critical value (determined by the maximum Youden index) of the relevant baseline data, and performed subgroup analysis. Binary logistic regression was used to calculate the predictive p value in the combined trial, and the best cutoff value and area under curve (AUC) of different parameters and the combined trial were obtained. Then, Delong test was used to compare the differences of several ROC curves. P<0.05 was statistically significant.