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Browse 1,466 clinical trials for brain cancer. Find studies that match your criteria and connect with research centers.
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NCT07411690
Cerebrospinal fluid is a clear fluid that surrounds and protects the brain. During surgery for brain tumors, neurosurgeons often need to open the covering of the brain (the dura) to reach the tumor. At the end of the operation, this covering is carefully closed again. In some cases, the closure might not be completely adequate leading to cerebrospinal fluid leak. This leakage may collect under the scalp or flow out through the surgical wound. When this happens, the surgical wound may not heal properly, and the risk of infection can increase. These complications can delay recovery and may postpone additional treatments, such as radiotherapy or chemotherapy, that are often needed after brain tumor surgery. Although cerebrospinal fluid leakage is less common after supratentorial craniotomy (surgery on the upper part of the brain) than after other types of brain surgery, it remains a challenging complication and has not been well studied in this group of patients. The aim of this study is to determine how often cerebrospinal fluid leakage occurs after supratentorial craniotomy for intracranial tumors, identify factors that increase the risk of leakage, and evaluate how these leaks are managed. Understanding these factors may help reduce the occurrence of cerebrospinal fluid leakage and improve postoperative recovery in the future.
NCT05342454
Our preliminary work demonstrates that an integrated fMRI software solution, incorporating tb-fMRI, rs-fMRI, and CVR mapping, is clinically feasible and helps clinicians plan brain tumor resection. We have developed a novel automated seed selection method that can accurately map language networks from rs-fMRI. We hypothesize that our innovative approach to enhance, optimize, and validate our preliminary software and integrate it with an established fMRI platform will create robust solutions for clinical RSN and CVR mapping. Partnering with NordicNeuroLab (NNL) will leverage the professional software development by a seasoned commercial MRI software producer in coordination with leading clinical and research experts at MD Anderson. The research will be conducted through three specific aims: 1. Develop a clinical software platform for mapping RSNs and determine optimized workflow for presurgical localization of eloquent areas. 2. Develop a clinical software platform for mapping CVR and determine optimized workflow for identifying and visualizing brain areas with potential false-negative fMRI results. 3. Test and validate RSN and CVR mapping software in patients undergoing neurosurgery.