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Analyzing the impact of surgery and adverse events (AEs) on patients' well-being is of paramount importance as it provides essential information for benefit-risk assessment. Current methods in outcome research are static, resource-intensive and subject to missing-data issues. Moreover, AEs are inconsistently reported using various grading systems that usually do not account for patients' subjective well-being. These are severe drawbacks for outcome research as it hinders monitoring, comparison, and improvement of treatment quality. The increasing use of smartphones offers unprecedented opportunities for data collection. We developed a free smartphone application to assess...
This phase I trial is evaluating a new imaging tracer (68Ga-FAPi-46) with positron emission tomography (PET)/computed tomography (CT) to determine where and to which degree the tracer (68Ga-FAPi-46) accumulates in normal and cancer tissues (the biodistribution) in patients with solid tumors or hematologic (blood) cancers. PET is an established imaging technique that utilizes small amounts of radioactivity attached to very minimal amounts of tracer, in the case of this research, 68Ga-FAPi-46. Because some cancers take up 68Ga-FAPi-46, it can be seen with PET. CT utilizes x-rays that traverse the body from the outside. CT images provide an exact outline of organs and potential...
The purpose of this study is to see if there is a difference between the development of the brain (neurodevelopment) in children who have been treated for retinoblastoma with multiple anesthetic exposures, compared with brain development in children who have never had anesthesia.
Autoimmune encephalitis is brain inflammation caused by the immune system mistakenly reacting against proteins in the brain. The commonest form is called NMDAR-antibody encephalitis (N-methyl-D-aspartate receptor antibody encephalitis), a rare condition which mainly affects children and young people and causes difficulties in memory, thinking and mental health which can have significant long-term impacts on education, employment and quality of life. In this project we will use advanced magnetic resonance imaging (MRI) to measure changes in the structure, function and chemistry of the brains of children and young people who are in early recovery from NMDAR-antibody encephalitis...
This is an observational study to compare the utility of the novel aMRI approach in human brain to the standard of care imaging approach for diagnosing and assessing glioma. Tumor cells have altered metabolism compared to normal cells.This makes metabolic activity imaging useful for diagnosing and assessing neurological disease. However, current options for metabolic activity imaging are limited. Metabolic activity imaging is primarily conducted using positron emission tomography (PET) with a radioactive tracer called fludeoxyglucose F-18 (¹⁸FDG). A PET scan is a procedure in which a small amount of radioactive glucose (¹⁸FDG) is injected into a vein, and a scanner is used to...
The purpose of this study is to develop and test a new magnetic resonance imaging (MRI) technique to see if it can be used to tell the difference between tumor growth from worsening of cancer and growth from the effects of treatment in participants who have brain tumors treated with radiation therapy called stereotactic radiosurgery (SRS).
Caring for a loved one with a serious illness like acquired brain injury (ABI) or primary malignant brain tumors (PMBT) can be a challenging and burdensome experience, often affecting the well-being and quality of life of relatives. While family and friends can provide some support, this is not always enough to address the diverse needs of caregivers. Relatives often have different requirements for support, information, and involvement in the patient's care. Understanding these varying needs is key to ensuring both the patient and their caregivers are effectively supported during the illness journey. This study aims to develop and test an intervention that helps healthcare...
Artificial intelligence (AI) undoubtedly represents the main tool currently available in the definition of complex algorithms and its use in the medical field is becoming increasingly strategic.As reported in the literature, it is increasingly difficult to find new therapeutic strategies for neoplasms, especially neurological ones. Molecular characterisation is therefore increasingly essential, as is the use of new predictive methods. With this in mind, the aim of this study is to assess, by means of AI algorithms applied to genomic data, in what percentage molecular alterations are susceptible to potential drug therapies, compared to the literature data that does not consider...
<Purpose of the Research> - Primary Establishing an Asian consortium to establish a database of pediatric CNS tumors in the prospective manner The target disease of this research focuses on pediatric tumors, and initially the registration of patients with CNS GCT will begin first. - Secondary Developing clinical protocols for pediatric CNS tumors based in Asia <Duration of Research Participation> Registration period for research subjects: 2022-08-01 - 2027-12-31 Duration of medical records to be utilized: to 2030-12-31 Total projected duration of research: IRB approved to 2032-12-31 Interim assessment of data quality and integrity: 6 Mo after Data...
This research aims to establish clinical evidence for optimal treatment guidelines for adrenal diseases using real-world data. The approach involves building prospective and retrospective patient registries, which will be utilized to develop and conduct research on disease-specific protocols for adrenal disorders. The study targets patients with primary aldosteronism, pheochromocytoma, adrenal cancer, adrenal incidentalomas, and mild autonomous cortisol secretion. Registries for patients with adrenal diseases will be obtained from Seoul National University Hospital and Asan Medical Center, along with securing a common data model. The ultimate goal is to conduct research to...
