AIMC Topic: Kidney Neoplasms
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Learning curves for robot-assisted and laparoscopic partial nephrectomy.
Journal of endourology
Oct 21, 2014
OBJECTIVES: To evaluate the learning curve of robot-assisted partial nephrectomy (RAPN) and laparoscopic partial nephrectomy (LPN) between two surgeons at a single institution.
Endophytic tumours do not constitute a barrier to robotic partial nephrectomy.
BJU international
Oct 16, 2014
Endoscopic robot-assisted simple enucleation (ERASE) for clinical T1 renal masses: description of the technique and early postoperative results.
Surgical endoscopy
Aug 27, 2014
BACKGROUND: Simple enucleation (SE) has proven to be oncologically safe. We describe the surgical steps and report the results of the Endoscopic Robotic-Assisted Simple Enucleation (ERASE) technique.
Perioperative outcomes of robotic partial nephrectomy for intrarenal tumors.
Journal of endourology
Jul 31, 2014
INTRODUCTION: Intrarenal tumors pose a unique challenge to surgeons due to the lack of visual cues on the kidney surface. Intraoperative ultrasonography has facilitated the management of these tumors during minimally invasive partial nephrectomy. We ...
Tumor-Intrinsic and Microenvironmental Determinants of Impaired Antitumor Immunity in Chromophobe Renal Cell Carcinoma.
Journal of clinical oncology : official journal of the American Society of Clinical Oncology
Aug 10, 2025
PURPOSE: While immune checkpoint inhibition (ICI) has transformed the management of many advanced renal cell carcinomas (RCCs), the determinants of effective antitumor immunity for chromophobe RCC (ChRCC) and renal oncocytic tumors remain an unmet cl...
Predicting Nephrectomy Risk in Patients with Renal Cancer Using Real-World Electronic Health Records.
Studies in health technology and informatics
Aug 7, 2025
Nephrectomy, the surgical removal of a kidney, is a critical treatment for renal cancer, and predicting its likelihood can help guide clinical decision-making and optimize preoperative planning. This study utilized real-world electronic health record...
Discriminating Clear Cell From Non-Clear Cell Renal Cell Carcinoma: A Machine Learning Approach Using Contrast-enhanced Ultrasound Radiomics.
Ultrasound in medicine & biology
Aug 1, 2025
OBJECTIVE: The aim of this investigation is to assess the clinical usefulness of a machine learning model using contrast-enhanced ultrasound (CEUS) radiomics in discriminating clear cell renal cell carcinoma (ccRCC) from non-ccRCC.
Agreement between Routine-Dose and Lower-Dose CT with and without Deep Learning-based Denoising for Active Surveillance of Solid Small Renal Masses: A Multiobserver Study.
Radiology. Imaging cancer
Jul 1, 2025
Purpose To assess the agreement between routine-dose (RD) and lower-dose (LD) contrast-enhanced CT scans, with and without Digital Imaging and Communications in Medicine-based deep learning-based denoising (DLD), in evaluating small renal masses (SRM...
Deep learning-based auto-contouring of organs/structures-at-risk for pediatric upper abdominal radiotherapy.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Jul 1, 2025
PURPOSES: This study aimed to develop a computed tomography (CT)-based multi-organ segmentation model for delineating organs-at-risk (OARs) in pediatric upper abdominal tumors and evaluate its robustness across multiple datasets.
Quantitative CT biomarkers for renal cell carcinoma subtype differentiation: a comparison of DECT, PCT, and CT texture analysis.
The British journal of radiology
Jul 1, 2025
OBJECTIVE: To evaluate and compare the diagnostic performance of CT texture analysis (CTTA), perfusion CT (PCT), and dual-energy CT (DECT) in distinguishing between clear-cell renal cell carcinoma (ccRCC) and non-ccRCC.
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