AIMC Topic: Kidney Neoplasms

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Pathomics in urology.

Current opinion in urology Nov 1, 2020
PURPOSE OF REVIEW: Pathomics, the fusion of digitalized pathology and artificial intelligence, is currently changing the landscape of medical pathology and biologic disease classification. In this review, we give an overview of Pathomics and summariz...
Male Diagnosis, Computer-Assisted Deep Learning Testicular Neoplasms Artificial Intelligence Female Reproducibility of Results Humans Urology Carcinoma, Renal Cell Pathology Urogenital Neoplasms Urologic Neoplasms Prostatic Neoplasms Neoplasm Grading Kidney Neoplasms
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Omitting Cortical Renorrhaphy in Robot-Assisted Partial Nephrectomy: Is it Safe? A Single Center Large Case Series.

Journal of endourology Aug 1, 2020
Preserving renal function after robot-assisted partial nephrectomy (RAPN) is important and influenced by the technique of renal reconstruction among other parameters, including ischemia time and amount of healthy renal tissue resected. It is believe...
Treatment Outcome Robotics Robotic Surgical Procedures Neoplasm Recurrence, Local Kidney Neoplasms Nephrectomy Humans Retrospective Studies
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Discriminating malignant and benign clinical T1 renal masses on computed tomography: A pragmatic radiomics and machine learning approach.

Medicine Apr 1, 2020
The aim of this study was to discriminate malignant and benign clinical T1 renal masses on routinely acquired computed tomography (CT) images using radiomics and machine learning techniques.Adult patients undergoing surgical resection and histopathol...
Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Humans Kidney Neoplasms Aged Carcinoma, Renal Cell Male Middle Aged
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Texture analysis and machine learning algorithms accurately predict histologic grade in small (< 4 cm) clear cell renal cell carcinomas: a pilot study.

Abdominal radiology (New York) Mar 1, 2020
PURPOSE: To predict the histologic grade of small clear cell renal cell carcinomas (ccRCCs) using texture analysis and machine learning algorithms.
Male Middle Aged Pilot Projects Neoplasm Grading Retrospective Studies Tomography, X-Ray Computed Female Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Carcinoma, Renal Cell Humans Machine Learning
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[New aspects in the treatment of localized renal cell carcinoma].

Der Urologe. Ausg. A Feb 1, 2020
BACKGROUND: Localized renal cell carcinoma is increasingly relevant in daily urological practice due to earlier diagnosis and higher life expectancy.
Robotic Surgical Procedures Kidney Neoplasms Radiosurgery Carcinoma, Renal Cell Nephrectomy Treatment Outcome Robotics Minimally Invasive Surgical Procedures Laparoscopy Humans Prospective Studies
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[Robot-assisted laparoscopic partial nephrectomy].

Urologiia (Moscow, Russia : 1999) Sep 1, 2019
Currently, partial nephrectomy as a nephron-sparing surgery is the standard treatment method of malignant kidney tumors stage T1 in the absence of contraindications. Robotic system is an intuitively convenient platform for performing partial nephrect...
Nephrectomy Humans Treatment Outcome Robotics Laparoscopy Robotic Surgical Procedures Kidney Neoplasms
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The Classification of Renal Cancer in 3-Phase CT Images Using a Deep Learning Method.

Journal of digital imaging Aug 1, 2019
In this research, we exploit an image-based deep learning framework to distinguish three major subtypes of renal cell carcinoma (clear cell, papillary, and chromophobe) using images acquired with computed tomography (CT). A biopsy-proven benchmarking...
Kidney Neoplasms Carcinoma, Renal Cell Humans Sensitivity and Specificity Deep Learning Tomography, X-Ray Computed Kidney Radiographic Image Interpretation, Computer-Assisted Republic of Korea Reproducibility of Results
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Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.

Abdominal radiology (New York) Jun 1, 2019
PURPOSE: Currently, all solid enhancing renal masses without microscopic fat are considered malignant until proven otherwise and there is substantial overlap in the imaging findings of benign and malignant renal masses, particularly between clear cel...
Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Iohexol Multidetector Computed Tomography Carcinoma, Renal Cell Adenoma, Oxyphilic Retrospective Studies Female Middle Aged Aged Deep Learning Aged, 80 and over Contrast Media Adult Diagnosis, Differential Humans Sensitivity and Specificity Software Male Algorithms
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Prediction of ISUP grading of clear cell renal cell carcinoma using support vector machine model based on CT images.

Medicine Apr 1, 2019
BACKGROUND: To explore whether radiomics combined with computed tomography (CT) images can be used to establish a model for differentiating high grade (International Society of Urological Pathology [ISUP] grade III-IV) from low-grade (ISUP I-II) clea...
Support Vector Machine Diagnosis, Differential Female Predictive Value of Tests Male Humans Area Under Curve Middle Aged Retrospective Studies Neoplasm Grading ROC Curve Tomography, X-Ray Computed Kidney Neoplasms Carcinoma, Renal Cell
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What's new in robotic partial nephrectomy.

Archivos espanoles de urologia Apr 1, 2019
OBJECTIVE: Robot assisted partial nephrectomy (RAPN) is a minimally invasive option for patients with small renal masses undergoing partial nephrectomy. In this review we provide an update on the oncological safety and renal functional outcomes follo...
Laparoscopy Robotic Surgical Procedures Kidney Neoplasms Nephrectomy Humans Treatment Outcome Robotics
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