Vol. 43 (x): 2017 June 6.[Ahead of print]
Ilker Seckiner 1, Serap Seckiner 2, Haluk Sen 1, Omer Bayrak 1, Kazım Dogan 1, Sakip Erturhan 1
1 Department of Urology, Gaziantep University, Gaziantep, Turkey; 2 Department of Endustrial Engineering, Gaziantep University, Gaziantep, Turkey
Objective: The prototype artificial neural network (ANN) model was developed using data from patients with renal stone, in order to predict stone-free status and to help in planning treatment with Extracorporeal Shock Wave Lithotripsy (ESWL) for kidney stones.
Materials and Methods: Data were collected from the 203 patients including gender, single or multiple nature of the stone, location of the stone, infundibulopelvic angle primary or secondary nature of the stone, status of hydronephrosis, stone size after ESWL, age, size, skin to stone distance, stone density and creatinine, for eleven variables.
Regression analysis and the ANN method were applied to predict treatment success using the same series of data.
Results: Subsequently, patients were divided into three groups by neural network software, in order to implement the ANN: training group (n=139), validation group (n=32), and the test group (n=32). ANN analysis demonstrated that the prediction accuracy of the stone-free rate was 99.25% in the training group, 85.48% in the validation group, and 88.70% in the test group.
Conclusions: Successful results were obtained to predict the stone-free rate, with the help of the ANN model designed by using a series of data collected from real patients in whom ESWL was implemented to help in planning treatment for kidney...Read More
Can baseline serum creatinine and e-GFR predict renal function outcome after augmentation cystoplasty in children?
Vol. 43 (x): 2017 June 6.[Ahead of print]
Prempal Singh 1, Ankur Bansal 1, Virender Sekhon 1, Sandeep Nunia 1, M. S. Ansari 1
1 Department of Urology and Renal Transplant, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
Objective: To assess cut-off value of creatinine and glomerular filtration rate for augmentation cystoplasty (AC) in paediatric age-group.
Materials and Methods: Data of all paediatric-patients (<18 years) with small capacity bladder, in whom AC was advised between 2005-2015 were reviewed. All patients were divided in two-groups, AC-group and control-group (without AC). Creatinine and e-GFR were assessed at the time of surgery, at 6 months and at last follow-up. Renal function deterioration was defined as increase in creatinine by ≥25% from baseline value or new-onset stage-3 CKD or worsening of CKD stage with pre-operative-CKD stage-3. ROCs were plotted using creatinine and e-GFR for AC.
Results: A total of 94 patients with mean-age 8.9 years were included. The mean creatinine and e-GFR were 1.33mg/dL and 57.68mL/min respectively. Out of 94 patients, AC was performed in 45 patients and in the remaining 49 patients AC was not done (control-group), as they were not willing for the same. Baseline patient’s characteristics were comparable in both Groups. 22 underwent gastro-cystoplasty (GC) and 25 underwent ileo-cystoplasty (IC). Decline in renal function was observed in 15 (33.3%) patients of AC-group and in 31 (63.3%) patients of control-group. Patients having creatinine ≥1.54mg/dL (P=0.004, sensitivity (S) 63.6% and specificity (s) 90.5%) at baseline and e-GFR <46mL/min (P=0.000, S=100% and s=85.7%) at the time of...Read More
Vol. 43 (x): 2017 May 5.[Ahead of print]
Renato B. Corradi 1, Emily A. Vertosick 2, Daniel P. Nguyen 1, Antoni Vilaseca 1, Daniel D. Sjoberg 2, Nicole Benfante 1, Lucas N. Nogueira 3, Massimiliano Spaliviero 1, Karim A. Touijer 1, Paul Russo 1, Jonathan A. Coleman 1
1 Department of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, USA; 2 Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, USA; 3 Departamento de Cirurgia, Serviço de Urologia, Hospital das Clínicas da UFMG, Belo Horizonte, MG, Brasil
Objectives: Based on imaging features, nephrometry scoring systems have been conceived to create a standardized and reproducible way to characterize renal tumor anatomy.
However, less is known about which of these individual measures are important with regard to clinically relevant perioperative outcomes such as ischemia time (IT), estimated blood loss (EBL), length of hospital stay (LOS), and change in estimated glomerular filtration rate (eGFR) after robotic partial nephrectomy (PN). We aimed to assess the utility of the RENAL and PADUA scores, their subscales, and C-index for predicting these outcomes.
Materials and Methods: We analyzed imaging studies from 283 patients who underwent robotic PN between 2008 and 2014 to assign nephrometry scores (NS): PADUA, RENAL and C-index. Univariate linear regression was used to assess whether the NS or any of their subscales were associated with EBL or IT. Multivariable linear regression and linear regression models were created to assess LOS and eGFR.
Results: The three NS were...Read More
Vol. 43 (x): 2017 May 1.[Ahead of print]
Anudeep Mukkamala 1, Robin M. Elliott 2, Nicholas Fulton 3, Vikas Gulani 3, Lee E. Ponsky 1, Riccardo Autorino 1
1 Department of Urology, UH Case Medical Center, Cleveland, Ohio, USA; 2 Department of Pathology, University Hospitals Case Medical Center, Cleveland, Ohio, USA; 3 Department of Radiology, University Hospitals Case Medical Center, Cleveland, Ohio, USA
No abstract available