AIMC Topic: Kidney Neoplasms

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Deep Learning Assessment of Small Renal Masses at Contrast-enhanced Multiphase CT.

Radiology May 1, 2024
Background Accurate characterization of suspicious small renal masses is crucial for optimized management. Deep learning (DL) algorithms may assist with this effort. Purpose To develop and validate a DL algorithm for identifying benign small renal ma...
Contrast Media Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Aged Adult Male Middle Aged Deep Learning Kidney Retrospective Studies Tomography, X-Ray Computed Female Humans Algorithms Prospective Studies
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Applications of artificial intelligence in urologic oncology.

Investigative and clinical urology May 1, 2024
PURPOSE: With the recent rising interest in artificial intelligence (AI) in medicine, many studies have explored the potential and usefulness of AI in urological diseases. This study aimed to comprehensively review recent applications of AI in urolog...
Urinary Bladder Neoplasms Male Medical Oncology Humans Deep Learning Prostatic Neoplasms Kidney Neoplasms Artificial Intelligence Urologic Neoplasms Machine Learning
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Factors affecting the use of a three-dimensional model during robot-assisted partial nephrectomy.

Asian journal of endoscopic surgery Apr 1, 2024
INTRODUCTION: This study aimed to identify cases that require a three-dimensional-printed kidney model in robot-assisted partial nephrectomy.
Humans Robotic Surgical Procedures Kidney Neoplasms Nephrectomy Retrospective Studies Kidney Robotics
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Characterizing and predicting ccRCC-causing missense mutations in Von Hippel-Lindau disease.

Human molecular genetics Jan 20, 2024
BACKGROUND: Mutations within the Von Hippel-Lindau (VHL) tumor suppressor gene are known to cause VHL disease, which is characterized by the formation of cysts and tumors in multiple organs of the body, particularly clear cell renal cell carcinoma (c...
von Hippel-Lindau Disease Von Hippel-Lindau Tumor Suppressor Protein Kidney Neoplasms Carcinoma, Renal Cell Mutation, Missense Humans Machine Learning
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Machine Learning-Based Pathomics Model to Predict the Prognosis in Clear Cell Renal Cell Carcinoma.

Technology in cancer research & treatment Jan 1, 2024
Clear cell renal cell carcinoma (ccRCC) is a highly lethal urinary malignancy with poor overall survival (OS) rates. Integrating computer vision and machine learning in pathomics analysis offers potential for enhancing classification, prognosis, and ...
Carcinoma, Renal Cell Gene Ontology Humans Machine Learning Gene Expression Profiling Computational Biology Gene Expression Regulation, Neoplastic Mutation Kidney Neoplasms Algorithms Biomarkers, Tumor Proportional Hazards Models Prognosis Male Kaplan-Meier Estimate Female Middle Aged
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An automated two-stage approach to kidney and tumor segmentation in CT imaging.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: The incidence of kidney tumors is progressively increasing each year. The precision of segmentation for kidney tumors is crucial for diagnosis and treatment.
Deep Learning Image Processing, Computer-Assisted Kidney Kidney Neoplasms Neural Networks, Computer Algorithms Tomography, X-Ray Computed Humans
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Can Simplified PADUA Renal (SPARE) Nephrometry scoring system help predict renal function outcomes after robot-assisted partial nephrectomy? (UroCCR study 93).

Minerva urology and nephrology Oct 1, 2023
BACKGROUND: The SPARE Nephrometry Score (NS) is described as easier to implement than the RENAL and PADUA NSs, currently more widely used. Our objective was to compare the accuracy of SPARE NS in predicting renal function outcomes following RAPN.
Renal Insufficiency, Chronic Retrospective Studies Nephrectomy Robotics Acute Kidney Injury Humans Kidney Neoplasms Kidney
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Spatially aware deep learning reveals tumor heterogeneity patterns that encode distinct kidney cancer states.

Cell reports. Medicine Sep 19, 2023
Clear cell renal cell carcinoma (ccRCC) is molecularly heterogeneous, immune infiltrated, and selectively sensitive to immune checkpoint inhibition (ICI). However, the joint tumor-immune states that mediate ICI response remain elusive. We develop spa...
Carcinoma Kidney Neoplasms Carcinoma, Renal Cell Humans Phenotype Deep Learning
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[Robot-assisted left-side partial nephrectomy with a segmental resection of left lower ureter and Boari reconstruction].

Urologiia (Moscow, Russia : 1999) Sep 1, 2023
Renal cell carcinoma (RCC) accounts for more than 90% of cases of malignant kidney tumors and represents 2-3% of all malignancies worldwide. Clear cell renal cell carcinoma (ccRCC), the most common type of RCC, comprising 70-80% of cases. RCC most co...
Robotic Surgical Procedures Carcinoma, Renal Cell Humans Carcinoma, Transitional Cell Nephrectomy Urinary Bladder Neoplasms Kidney Neoplasms Ureter Robotics
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Robotic partial nephrectomy for renal tumor: The pentafecta outcomes of a single surgeon experience.

Asian journal of surgery Sep 1, 2023
PURPOSE: This study investigated the oncological and functional surgical outcomes for patients with renal tumor who underwent robot-assisted partial nephrectomy (PN) by a single surgeon in Taiwan from 2006 to 2019.
Humans Nephrectomy Retrospective Studies Margins of Excision Aged Robotics Adult Robotic Surgical Procedures Surgeons Kidney Neoplasms Middle Aged
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