Clinical Research Directory

Surveillance for Malignant Transformation of Neurofibromatosis Type 1 (NF1) Related Peripheral Nerve Sheath Tumors (PNST)

Background: Neurofibromatosis type 1 (NF1) is a genetic disease that can cause many symptoms. About half of people with NF1 will develop benign (noncancerous) tumors along nerves in the skin, brain, and other parts of the body. Sometimes, though, these tumors can become cancerous. Researchers do not yet know how to predict which tumors will become cancerous. Objective: To test a new method for predicting which benign NF1 tumors will become cancerous. Eligibility: People aged 3 years and older with a clinical or genetic diagnosis of NF1. Design: * Participants will be screened with a review of their medical history. All participants will have a baseline visit. They will have bood tests and imaging scans. They will have a physical exam. They will answer questions about their family history. Participants aged 8 years and older will take tests of their thinking skills and their emotional health. * Some participants may be asked to undergo more tests. These may include another type of imaging scan and a biopsy: A small sample of tissue may be removed from the tumor. * Participants will be divided into two groups: those believed to be at low risk and those believed to be at high risk of developing cancer. * Participants in the high-risk group will be asked to return for their next visit in 1 month to 3 years. * Participants in the low-risk group will be asked to return for their next visit in 6 months to 5 years. * Participants may also have follow-up visits by phone throughout the study. They will be in the study for 10 years.

Proton Therapy Research Infrastructure- ProTRAIT- Neuro-oncology

The first proton therapy treatments in the Netherlands have taken place in 2018. Due to the physical properties of protons, proton therapy has tremendous potential to reduce the radiation dose to the healthy, tumour-surrounding tissues. In turn, this leads to less radiation-induced complications, and a decrease in the formation of secondary tumours. The Netherlands has spearheaded the development of the model-based approach (MBA) for the selection of patients for proton therapy when applied to prevent radiation-induced complications. In MBA, a pre-treatment in-silico planning study is done, comparing proton and photon treatment plans in each individual patient, to determine (1) whether there is a significant difference in dose in the relevant organs at risk (ΔDose), and (2) whether this dose difference translates into an expected clinical benefit in terms of NormalTissue Complication Probabilities (ΔNTCP). To translate ΔDose into ΔNTCP, NTCP-models are used, which are prediction models describing the relation between dose parameters and the likelihood of radiation-induced complications. The Dutch Society for Radiotherapy and Oncology (NVRO) setup the selection criteria for proton therapy in 2015, taking into account toxicity and NTCP. However, NTCP-models can be affected by changes in the irradiation technique. Therefore, it is paramount to continuously update and validate these NTCP-models in subsequent patient cohorts treated with new techniques. In ProTRAIT, a Findable, Accessible, Interoperable and Reusable (FAIR)data infrastructure for both clinical and 3D image and 3D dose information has been developed and deployed for proton therapy in the Netherlands. It allows for a prospective, standardized, multi-centric data from all Dutch proton and a representative group of photon therapy patients.