Active clinical trials for "Kidney Neoplasms"

This research trial studies biomarkers in samples from patients with rhabdoid tumor of the kidney and atypical teratoid rhabdoid tumor. Studying biomarkers of tissue samples from patients with cancer in the laboratory may help doctors learn more about changes the occur in DNA and identify biomarkers related to cancer.

Describe in patients with metastatic kidney cancer treatment modalities with the type sequences: TKI - mTORi - Axitinib or VEGF mAb - mTORi - Axitinib.

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.

Collect blood samples and associated clinical data prior to, during, and post radiation treatment.

The goal of this clinical research study is to find out if "3 Tesla" MRI is as good as CT scan in the evaluation of kidney tumor(s). Objectives: To provide preliminary data to enable subsequent development of an MRI protocol at 3 Tesla for evaluation of renal tumors and their vascular supply, which can be adopted in patients who are unable to undergo CT evaluation.

Recruitment of participants to the study takes place at the urological department at Zealand University Hospital, Roskilde, Feb. 2018-April 2018. 10 people with diagnosis of renal cancer should be recruited in phases 1. Subsequently, biological materials from 100 patients with kidney cancer will be used from the national Biobank. In phase 3, 10 patients will be recruited for the final gene test.

The goal of this study is to understand factors which may influence risk for colorectal and other cancers in families. These factors include genetic variability, in combination with diet and lifestyle. In order to achieve these goals, we need to contact as many eligible participants as possible.

The incidence and mortality of renal cell carcinoma are increasing year by year. Contrast-enhanced ultrasound is helpful for early diagnosis and treatment to renal tumor, and is of great importance to distinguish benign from malignant and clinical stages

Kidney transplantation is now the treatment of choice for end-stage renal disease (ESRD). Between 2800 and 3000 kidney transplants are performed each year in France and more than 33 000 patients are living with a functioning graft. Preventing allograft rejection requires the use of immunosuppressive therapy, the intensity decreases as the distance from the day of transplantation. Unfortunately, treatment favors certain complications, including infectious and neoplastic. These represent a major cause of mortality in these patients. If the frequency of skin cancer is greatly increased in this population, that of solid tumors remains a concern. Approximately 20% of patients develop cancer after 10 years of graft , half non- skin cancers, the main risk factor is immunosuppressive therapy . The aim of the study is to evaluate, in a large population of patients treated in 4 regions ( the Nord-Pas de Calais, the Upper and Lower Normandy and Picardy) risk factors (in particular the nature of the immunosuppressive treatment) of developing a neoplastic complication, skin cancers and solid tumors, after renal transplantation.