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Robotic-Assisted Laparoscopic Procedure for Removing Müllerian Remnants.
Ureteroscopic methods have been rapidly evolving in the last several decades. With advances in flexible devices, optics and laser technologies, the endourologic surgeon has now the tools to treat high-volume tumors, in difficult locations, with good oncologic outcome. This makes radical nephroureterectomy unnecessary in some cases. Endoscopy in the setting of UTUC will surely continue to evolve and become applicable to a wider selection of patients. In this review we describe the surgical technique and provide tips and tricks which we use in our practice of endoscopic retrograde treatment of upper-tract urothelial carcinoma.Ureteroscopic biopsy is an integral part of diagnosis of urothelial carcinoma of the upper urinary tract. It can be a technical challenge, but diagnostic rates have improved remarkably with refinements in surgical technique and specimen processing. Cytology aids with diagnosis and other urinary biomarkers continue to evolve, which may help further stratify patients for treatment. The current literature on the ureteroscopic biopsy and role of urinary biomarkers is reviewed and summarized below.Upper tract urinary carcinoma (UTUC) is a heterogeneous group of rare tumors. The aim of this article is to critically review current therapeutic strategies and to propose a change in the risk-stratification of the disease. A non-systematic review of the literature was performed using the Medline database with the search terms "upper tract urothelial carcinoma" together with "prognostic factor", "risk stratification", "risk factor", "recurrence", "predictive tool", "nomograms" and "treatment". Preoperative risk factors can be viewed as patient-related risk factors (gender, age, ethnicity, body mass index, smoking status, or genetic factors), or tumor-related risk factors (stage, grade, size, architecture, multifocality, ureteric obstruction). Several biomarkers, available either in blood, urine, or the tumor itself have also been proposed. However, many of these prognostic factors lack accuracy and validation in predicting oncological outcomes, despite their use in predictive tools. After risk stratification, kidney-sparing strategies should be considered (endoscopic management and segmental ureterectomy) and could benefit from new diagnostic tools and technical improvements in in situ adjuvant endocavitary instillations. Radical nephroureterectomy remains the first choice therapy for high-grade disease and will probably be associated with other treatments in the future (lymphadenectomy, perioperative chemotherapy, or immunotherapy). In view of the major recent improvements in UTUC treatment strategies, a new classification should be proposed, including low-, intermediate-, high- and very high-risk disease. Subgroup analysis of good quality trials and better understanding of UTUC risk factors will help validate this new approach toward more personalized medicine.An overview of epidemiological pattern of upper tract urothelial carcinoma (UTUC), including outcome of UTUC over past decades as well as factors responsible for observed epidemiological changes was performed. Gender and racial disparities influencing incidence of UTUC were reviewed. The incidence of multifocal urothelial carcinoma and relation of UTUC to urothelial carcinoma of bladder were examined.
Radical nephroureterectomy (RNU) is the referent standard for managing bulky, invasive, or high grade upper-tract urothelial carcinoma (UTUC). The UTUC patient population, however, generally harbor medical comorbidities thereby placing them at risk of surgical complications. This study reviews a large international cohort of RNU patients to define the risk of major complications and preoperative factors associated with their occurrence.

Patients undergoing RNU at 14 academic medical centers between 2002 and 2015 were retrospectively reviewed. Preoperative clinical, demographic, operative, and comorbidity indices were recorded. The modified Clavien-Dindo index was used to grade complications occurring within 30 days of surgery. The association between preoperative variables and major complications occurring after RNU was determined by multivariable logistic regression.

One thousand two hundred and sixty-six patients (707 men; 559 women) with a median age of 70 years and BMI of 27 kg/m
were included. selleck kinase inhibitor Ovnce status and baseline CKD are preoperative variables associated with these major post-surgical adverse event. These easily measurable indices warrant consideration and discussion prior to proceeding with RNU.
Major complications following RNU occurred in almost 10% of patients. Impaired preoperative performance status and baseline CKD are preoperative variables associated with these major post-surgical adverse event. These easily measurable indices warrant consideration and discussion prior to proceeding with RNU.
Complications can occur following radical nephroureterectomy (RNU) in 20-40% of patients. The Comprehensive Complication Index (CCI) is an alternative grading system to the Clavien-Dindo (CD) grading system that aggregates all complications experienced by a patient on a continuous (as opposed to categorical) scale. We investigate whether the cumulative nature of CCI renders it superior to CD in predicting perioperative course after RNU.

The records of 596 patents who underwent RNU at 7 academic medical centers from 2005 to 2015 were reviewed. Complications occurring within 30 days of RNU were annotated using both the CD and CCI classification systems. Logistic regression was used to determine associations between CD and CCI with perioperative covariates as well as measures of convalescence [hospital length of stay (LOS) and readmission].

A total of 377 men and 219 women with a median age of 71, BMI of 27, and Charlson comorbidity score of 4 were included. Over half underwent a minimally invasive RNU. MeI classification systems both are associated with similar baseline and perioperative characteristics for RNU patients. However, the cumulative nature of the CCI allows for superior prediction of postoperative course after RNU including LOS and readmission.
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