Background: Artificial urinary sphincter "FlowSecure" is a prosthesis designed for stress urinary incontinence that has achieved excellent results. Although implantation is easy, some urologist used to other prosthesis may find difficult the change to this new technique. This article shows how easily and quickly this new sphincter can be implanted and discuss the differences with the artificial sphincter AMS-800.
Methods: Following the case of a patient who was implanted artificial urinary sphincter "FlowSecure" in our center we describe with pictures the technique of implantation and give some advices to make this quicker and easier.
Results: Surgical time was 90 minutes. Patient presented uneventful recovery, urethral catheter was removed 24 hours after surgery and discharge was done 72 hours after surgery. Three months after implantation patient describes complete resolution of his stress urinary incontinence.
Conclusions: Artificial urinary sphincter "FlowSecure" is easy and quick to implant, and as its use is extended we would compare if results are better than those of the AMS-800 model.
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http://dx.doi.org/10.4321/s0004-06142009000300004 | DOI Listing |
BMC Surg
January 2025
Department of Obstetrics and Gynecology, Firoozgar Clinical Research and Development Center (FCRDC), School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Background: Complete Cytoreduction (CC) in ovarian cancer (OC) has been associated with better outcomes. Outcomes after CC have a multifactorial and interrelated cause that may not be predictable by conventional statistical methods. Artificial intelligence (AI) may be more accurate in predicting outcomes.
View Article and Find Full Text PDFInt J Urol
January 2025
Department of Urology, National Defense Medical College, Saitama, Japan.
Objectives: Limited data exist on surgical outcomes following artificial urinary sphincter (AUS) implantation in patients with a history of urethroplasty for urethral stricture. This study aimed to evaluate the surgical outcomes of AUS implantation in such patients, focusing on the risk of urethral erosion.
Methods: We retrospectively reviewed 14 male patients who developed severe urinary incontinence following urethroplasty for urethral stricture and subsequently underwent AUS implantation at our center between March 2012 and January 2024.
Sci Rep
January 2025
Department of Hospital Pathology, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Korea.
Recently, as the number of cancer patients has increased, much research is being conducted for efficient treatment, including the use of artificial intelligence in genitourinary pathology. Recent research has focused largely on the classification of renal cell carcinoma subtypes. Nonetheless, the broader categorization of renal tissue into non-neoplastic normal tissue, benign tumor and malignant tumor remains understudied.
View Article and Find Full Text PDFJ Clin Med
January 2025
Department of Urology, University of Rennes, 35000 Rennes, France.
The artificial urinary sphincter has been an effective treatment for stress urinary incontinence caused by intrinsic sphincter deficiency in women. However, the use of this device has been limited by the technical difficulties and risks associated with the open implantation procedure. Preliminary studies using robotic techniques have shown promising results, but only one small study has compared robotic to open procedures.
View Article and Find Full Text PDFWorld J Urol
January 2025
Department of Urology, Renmin Hospital of Wuhan University, 99 Zhang Zhi-dong Road, Wuhan, Hubei, 430060, P.R. China.
Purpose: To develop a deep learning (DL) model based on primary tumor tissue to predict the lymph node metastasis (LNM) status of muscle invasive bladder cancer (MIBC), while validating the prognostic value of the predicted aiN score in MIBC patients.
Methods: A total of 323 patients from The Cancer Genome Atlas (TCGA) were used as the training and internal validation set, with image features extracted using a visual encoder called UNI. We investigated the ability to predict LNM status while assessing the prognostic value of aiN score.
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