AI Medical Compendium Topic

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Kidney

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A novel multiplex score to predict outcomes of partial nephrectomy for multiple tumors.

Urologic oncology
BACKGROUND: The RENAL nephrometry score (RNS) is widely used to describe renal mass complexity and inform patient counseling for partial nephrectomy (PN). However, in cases with multiple tumors, it is unknown which features drive perioperative outcom...

A novel dataset and efficient deep learning framework for automated grading of renal cell carcinoma from kidney histopathology images.

Scientific reports
Trends of kidney cancer cases worldwide are expected to increase persistently and this inspires the modification of the traditional diagnosis system to respond to future challenges. Renal Cell Carcinoma (RCC) is the most common kidney cancer and resp...

Glomerulus Detection Using Segmentation Neural Networks.

Journal of digital imaging
Digital pathology is vital for the correct diagnosis of kidney before transplantation or kidney disease identification. One of the key challenges in kidney diagnosis is glomerulus detection in kidney tissue segments. In this study, we propose a deep ...

Acquisition time reduction in pediatric Tc-DMSA planar imaging using deep learning.

Journal of applied clinical medical physics
PURPOSE: Given the potential risk of motion artifacts, acquisition time reduction is desirable in pediatric Tc-dimercaptosuccinic acid (DMSA) scintigraphy. The aim of this study was to evaluate the performance of predicted full-acquisition-time imag...

Robot-assisted pyeloplasty for ureteropelvic junction obstruction in renal anomalies.

Journal of pediatric urology
The surgical video demonstrates the technical nuances of performing pyeloplasties on complex renal anomalies, including duplex, horseshoe, malrotated, and ectopic kidneys. The video also highlights the anatomic relationships of the affected kidney fo...

Deep learning-based segmentation and quantification of podocyte foot process morphology suggests differential patterns of foot process effacement across kidney pathologies.

Kidney international
Morphological alterations at the kidney filtration barrier increase intrinsic capillary wall permeability resulting in albuminuria. However, automated, quantitative assessment of these morphological changes has not been possible with electron or ligh...

Profiling of kidney involvement in systemic lupus erythematosus by deep learning using the National Database of Designated Incurable Diseases of Japan.

Clinical and experimental nephrology
BACKGROUND: Kidney involvement frequently occurs in systemic lupus erythematosus (SLE), and its clinical manifestations are complicated. We profiled kidney involvement in SLE patients using deep learning based on data from the National Database of De...

Single Port Robotic Kidney Autotransplantation: Initial Case Series and Description of Technique.

Urology
PURPOSE: Minimally invasive kidney autotransplantation (KAT) has demonstrated reduced morbidity, however multiport robotic approach required patient repositioning and multiple sets of incisions. We present our initial series of single-port (SP) robot...

Perioperative, functional, and oncologic outcomes of robot-assisted versus open partial nephrectomy for complex renal tumors (RENAL score ≥ 7): an evidence-based analysis.

Journal of robotic surgery
This study aims to assess the efficacy and safety of robot-assisted partial nephrectomy (RAPN) compared with open partial nephrectomy (OPN) in the management of complex renal tumors (defined as RENAL score ≥ 7). We conducted a comprehensive literatur...

Automatic segmentation of kidneys in computed tomography images using U-Net.

Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
PURPOSE: Accurate segmentation of target volumes and organs at risk from computed tomography (CT) images is essential for treatment planning in radiation therapy. The segmentation task is often done manually making it time-consuming. Besides, it is b...