View clinical trials related to Brain Neoplasms.
Filter by:The goal of this multi-center clinical trial is to evaluate the effectiveness of MRI-based computer-aided diagnosis software (V1) for glioma segmentation, gene prediction, and tumor grading. Machine learning methods such as high-precision tumor segmentation and classification and discrimination modeling can further optimize the non-invasive molecular diagnosis and prognosis prediction. The main question it aims to answer is whether the software can predict the molecular type and the prognosis quickly and correctly. The results will be compared with the real-world clinical data double-blindly. Finally, form a set of user-friendly automatic glioma diagnosis and treatment systems for clinics.
The goal of this observational study is to learn about treatments in brain metastases with poor prognostic factors. The main questions it aims to answer are: - What kind of local treatment provides a survival benefit for patients with poor prognostic factors? - What kind of systemic treatment provides a survival benefit for patients with poor prognostic factors? - Will the combination of local treatment and systemic treatment provide a survival benefit for patients with poor prognostic factors? Participants will be asked to provide personal information about their living status, symptoms, and disease control during the follow-up.
The basic mechanisms underlying comprehension of spoken language are still largely unknown. Over the past decade, the study team has gained new insights to how the human brain extracts the most fundamental linguistic elements (consonants and vowels) from a complex and highly variable acoustic signal. However, the next set of questions await pertaining to the sequencing of those auditory elements and how they are integrated with other features, such as, the amplitude envelope of speech. Further investigation of the cortical representation of speech sounds can likely shed light on these fundamental questions. Previous research has implicated the superior temporal cortex in the processing of speech sounds, but little is known about how these sounds are linked together into the perceptual experience of words and continuous speech. The overall goal is to determine how the brain extracts linguistic elements from a complex acoustic speech signal towards better understanding and remediating human language disorders.
Glioblastoma patients are confronted with a debilitating disease associated with a low survival rate and poor quality of life. The goal of this study will be to reach a largely underrepresented population in the exercise literature and explore the role of a tailored circuit-based resistance training program on functional fitness (i.e., ability to carry out tasks of daily living) and associated health outcomes (e.g., quality of life) for GBM patients on active treatment.
Background: Sleep disturbances are among the most common and severe symptoms reported by people with primary brain tumors (PBT). Smart wearable devices like Fitbits may be able to give detailed data about people s sleep and circadian rhythms. In this study, researchers will use Fitbits to learn more about sleep disruptions caused by tumors. This might help them design better future treatment and supportive care studies. Objective: To describe sleep disturbances and circadian disruption in people with PBT. Eligibility: English-speaking adults ages 18 and older who have PBT and are enrolled in the NIH study, Evaluation of the Natural History of and Specimen Banking for Patients with Tumors of the Central Nervous System. It is also known as the Natural History Study, trial #16C0151. Design: Participants will be screened over the telephone or in person. They will be asked about their medical history. Their cancer diagnosis will be confirmed through test results and pathology reports. Participants will complete 4 surveys. The surveys take about 20 minutes to complete and will ask about: The quality of their sleep Their ability to fall asleep and stay asleep How the quality of their sleep affects their daily activities Their sleep hygiene and preferences Participants will get a Fitbit. It looks like a watch and is worn on the wrist. They will connect the device to their smart phone to track sleep, heart rate, and activity. They will wear it for 1 month. Participants will keep a daily sleep diary for 1 week. It will be sent via an electronic link. They will also repeat 2 of the surveys. Participation will last for 1 month.
An open-label, single institutional phase II trial of losartan in patients with primary and metastatic brain tumors with an individual stepped-wedge, randomized, assessor-blinded, dose-finding design on three indications.
Background and purpose: In adult, the half of the CNS neoplasms are metastatic, and high grade astrocytomas and oligodendrogliomas are most frequent malignant tumors among the last half. Recently, integrated MRI-PET (Biograph mMR, Siemens, Germany) was introduced, and can provide simultaneous whole body MRI-PET imaging as well as brain-specific advanced imaging (e.g. DWI, PWI, and DCE). The purpose of the present study is to evaluate whether the simultaneous MRI-PET acquisition can improve the diagnostic yield for the patients initially presented with brain tumors, and predict the prognosis in the patients diagnosed with primary high graded astrocytoma or oligodendroglioma.