View clinical trials related to Kidney Neoplasms.
Filter by:The purpose of this study is to develop an on-line electronic symptom management application that can ultimately be used to improve clinical outcomes in patients with mRCC treated with cabozantinib.
We aim to experiment and implement various deep learning architectures in order to achieve human-level accuracy in Computer-aided diagnosis (CAD) systems. In particular, we are interested in detecting renal tumors from CT urography scans in this project. We would like to classify renal tumor to cancer, non cancer, renal cyst I, renal cyst II, renal cyst III and renal cyst VI, with high sensitivity and low false positive rate using various types of convolutional neural networks (CNN). This task can be considered as the first step in building CAD systems for renal cancer diagnosis. Moreover, by automating this task, we can significantly reduce the time for the radiologists to create large-scale labeled datasets of CT-urography scans.
In this study, the researchers will examine the effects of post-mindfulness intervention email and text messages to promote maintenance of intervention effects over time in a uro-oncology sample (clinically localized prostate, kidney, and bladder cancer) of patients and spouses.
To demonstrate that Robotic-Assisted partial nephrectomy is superior to Open partial nephrectomy in reducing the number of 30 day post-operative complications (Clavien-Dindo Type I-V) for patients with intermediate to high complexity kidney tumors.
Patients treated on the first line of Sunitinib-targeted therapy for metastatic kidney cancer. Collection of additional blood tubes during routine blood tests for patient follow-up, to evaluate the plasma concentration of Sunitinib and its active metabolite desethyl-Sunitinib (DES)
This study is to assess the addition of 3D ultrasound guidance during standard care ablation or biopsies of liver or kidney tumours. 3D ultrasound only differs from conventional 2D ultrasound in that the ultrasound transducer is mounted on a special assembly that moves the transducer in precise, stepped movements while a succession of 2D images are collected by the computer. Special software written specifically for 3D ultrasound precisely aligns these 2D images into a 3-demensional volume , allowing area in question to be viewed in many different planes. 3D ultrasound is a safe, fast, non-invasive imaging procedure. Ultrasound images will be checked against the pre- and post- procedure CT images to make sure the tumours were completely removed or properly targeted during biopsy.
The purpose of this study is to measure the volume of the kidney and tumors using 3D-US acquisition and to correlate these measurements to contrast-enhanced CT or MRI.
Controlling pain is fundamental during and after surgical procedures. This study examines pain associated with robotic assisted surgery on prostate cancer or a kidney mass. In recent years, the risk of opioids in the postoperative period has gained interest due to the growing epidemic of addiction, dependence, and overdose. In this study, the investigators expect a continuous infusion of intravenous lidocaine during the perioperative period to result in less pain and less opioid use.
Purpose: The purpose of this study is to evaluate the role of renal mass biopsy on decision-making for patients presenting with clinical T1 kidney tumors. This study also incorporates integrated biomarker study to compare the genomic data obtained through biopsy tissue to genomic information from surgical data.
This is a pilot study to assess acute toxicity in patients receiving flank irradiation using proton therapy for renal tumors.