AIMC Topic: Kidney Neoplasms

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Lower Incidence of Postoperative Acute Kidney Injury in Robot-Assisted Partial Nephrectomy Than in Open Partial Nephrectomy: A Propensity Score-Matched Study.

Journal of endourology May 28, 2020
Acute kidney injury (AKI) after partial nephrectomy is attributed to parenchymal reduction and ischemia, but the extent of its effect remains unclear. This study aimed to compare the incidence of postoperative AKI among surgical modalities, robot-as...
Robotics Acute Kidney Injury Laparoscopy Incidence Robotic Surgical Procedures Treatment Outcome Nephrectomy Humans Retrospective Studies Kidney Neoplasms Propensity Score
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A CT-based deep learning model for predicting the nuclear grade of clear cell renal cell carcinoma.

European journal of radiology May 20, 2020
PURPOSE: To investigate the effects of different methodologies on the performance of deep learning (DL) model for differentiating high- from low-grade clear cell renal cell carcinoma (ccRCC).
Reproducibility of Results Male Middle Aged Retrospective Studies Tomography, X-Ray Computed Female Predictive Value of Tests Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Deep Learning ROC Curve Kidney Humans Carcinoma, Renal Cell
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Predicting intra-operative and postoperative consequential events using machine-learning techniques in patients undergoing robot-assisted partial nephrectomy: a Vattikuti Collective Quality Initiative database study.

BJU international May 18, 2020
OBJECTIVE: To predict intra-operative (IOEs) and postoperative events (POEs) consequential to the derailment of the ideal clinical course of patient recovery.
Retrospective Studies Female Aged Machine Learning Databases, Factual Prognosis Robotic Surgical Procedures Kidney Neoplasms Nephrectomy Intraoperative Complications Male Middle Aged Postoperative Complications Humans
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Deep learning based classification of solid lipid-poor contrast enhancing renal masses using contrast enhanced CT.

The British journal of radiology May 11, 2020
OBJECTIVE: Establish a workflow that utilizes convolutional neural nets (CNN) to classify solid, lipid-poor, contrast enhancing renal masses using multiphase contrast enhanced CT (CECT) images and to assess the performance of the resulting network.
Carcinoma, Renal Cell Angiomyolipoma Adenoma, Oxyphilic Tomography, X-Ray Computed Humans Female Retrospective Studies Male Middle Aged Deep Learning Contrast Media Kidney Neoplasms
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Re: Geraldine Pignot, Antoine Thiery-Vuillemin, Jochen Walz, et al. Nephrectomy After Complete Response to Immune Checkpoint Inhibitors for Metastatic Renal Cell Carcinoma: A New Surgical Challenge? Eur Urol. In press. https://doi.org/10.1016/j.eururo.2019.12.018: The Next Surgical Frontier in Kidney Cancer: Nephrectomy After Immune Checkpoint Inhibition.

European urology Apr 30, 2020
Kidney Neoplasms Humans Carcinoma, Renal Cell Immune Checkpoint Inhibitors Nephrectomy Robotics
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Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion.

European radiology Apr 29, 2020
OBJECTIVES: To develop a deep learning-based method for automated classification of renal cell carcinoma (RCC) from benign solid renal masses using contrast-enhanced computed tomography (CECT) images.
Algorithms Retrospective Studies Tomography, X-Ray Computed Contrast Media Diagnosis, Differential Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Machine Learning Adenoma, Oxyphilic Kidney Neoplasms Carcinoma, Renal Cell Angiomyolipoma
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Surgical details and renal function change after robot-assisted partial nephrectomy.

International journal of urology : official journal of the Japanese Urological Association Apr 16, 2020
OBJECTIVES: To investigate whether differences in surgical details during robot-assisted partial nephrectomy impact postoperative renal function.
Robotic Surgical Procedures Humans Treatment Outcome Kidney Neoplasms Retrospective Studies Glomerular Filtration Rate Nephrectomy Kidney Robotics
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Reply to Mengda Zhang and Long Wang's Letter to the Editor re: Francesco Porpiglia, Enrico Checcucci, Daniele Amparore, et al. Three-dimensional Augmented Reality Robot-assisted Partial Nephrectomy in Case of Complex Tumours (PADUA ≥ 10): A New Intraoperative Tool Overcoming the Ultrasound Guidance. Eur Urol. In press. https://doi.org/10.1016/j.eururo.2019.11.024.

European urology Apr 9, 2020
Humans Augmented Reality Robotics Kidney Neoplasms Laparoscopy Nephrectomy
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Deep Learning Based on MRI for Differentiation of Low- and High-Grade in Low-Stage Renal Cell Carcinoma.

Journal of magnetic resonance imaging : JMRI Mar 28, 2020
UNLABELLED: Pretreatment determination of renal cell carcinoma aggressiveness may help to guide clinical decision-making.
Cell Differentiation Kidney Neoplasms Carcinoma, Renal Cell Humans Deep Learning Retrospective Studies Magnetic Resonance Imaging
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Comparison of Robot-Assisted and Laparoscopic Partial Nephrectomy for Completely Endophytic Renal Tumors: A High-Volume Center Experience.

Journal of endourology Mar 27, 2020
To compare the perioperative, functional, and oncologic outcomes of robot-assisted partial nephrectomy (RAPN) and laparoscopic partial nephrectomy (LPN) for completely endophytic renal tumors (three points for the "E" element of the R.E.N.A.L. scori...
Robotics Laparoscopy Robotic Surgical Procedures Kidney Neoplasms Nephrectomy Humans Retrospective Studies Treatment Outcome
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