BACKGROUND The diagnosis of primary central nervous system lymphoma (PCNSL) can be challenging. PCNSL lesions are frequently located deep within the brain, and performing a cerebral biopsy is not always feasible. The aim of this study was to investigate the diagnostic value of CSF neopterin, a marker of neuroinflammation, in immunocompetent patients with suspected PCNSL. METHODS We retrospect...

In 1890, Coley observed that cancer patients who developed infections had smaller tumors. From this, he developed Coley’s toxin and treated tumors with injections of infectious materials. In 1960s,  Mahaley used monoclonal antibodies to treat central nervous system(CNS)  tumors, that research and clinical investigations in brain tumor immunotherapy became a serious undertaking. ...

Brain Tumor is an abnormal growth caused by cells reproducing themselves in a uncontrolled manner. Brain Tumor segmentation aims to separate the different tumor tissues such as active cells, necrotic core & edema from normal brain tissues of White Matter(WM), Gray Matter (GM), Cerebrospinal Fluid (CSF). Tumor segmentation from MRI data is an Important but time consuming manual task performed by...

Diagnosis is the key for treatment plan. Some fundamental tasks for accurate diagnosis include: (1) Anatomic localization of the lesion and its relation to surrounding structures which could be determined by CT and /or MRI brain. (2) Evaluation of the activity of this lesion (hyperactive, normal, or silent) by magnetic resonance spectroscopy (MRS). (3) Determining cell of origin of the lesion t...

Brain Tumor detection using Convolutional Neural Network (CNN) is used to discover and classify the types of Tumor. Over a amount years, many researchers are researched planned ways throughout this area. We’ve proposed technique that’s capable detecting classifying different tumor. For tumor we have MRI because images gives complete structure human brain, without any operation it scans brain he...

Meningiomas are the most common benign brain tumors, and are characterized by slow growth and a long asymptomatic period. Once the tumor becomes symptomatic, the various presentations may be related to the location and compression of adjacent structures. Meningioma is primarily treated through surgical intervention, and thus earlier diagnosis is likely to result in better prognosis. The symptom...

Brain single-photon emission computerized tomography (SPECT), in particular, with perfusion agents or with neuroreceptor imaging radiopharmaceuticals, is rapidly becoming a clinical tool in many neurologic and psychiatric conditions. This imaging modality has been used for diagnosis, prognosis assessment, evaluation of response to therapy, risk stratification, detection of benign vs. malignant ...

Brain cancer is a critical disease that results in the deaths of many individuals. Early detection and classification brain tumors essential for effective treatment improved patient outcomes. However, current manual examination MRI images tumor can be time-consuming imprecise. In this project, we propose computer-based system utilizes image processing techniques convolutional neural networks (C...

Image Segmentation is an important and challenging factor in the field of medical image processing. In the present days, for the human body anatomical study and for the treatment planning medical science very much depend on the medical imaging technology and medical images. Specifically for the human brain, MRI (Magnetic Resonance Imaging) widely prefers and using for the imaging. But by nature...

BACKGROUND Metastatic brain cancers are the most common intracranial tumor and occur in about 15% of all cancer patients. In up to 10% of these patients, the primary tumor tissue remains unknown, even after a time consuming and costly workup. The Pathwork Tissue of Origin Test (Pathwork Diagnostics, Redwood City, CA, USA) is a gene expression test to aid in the diagnosis of metastatic, poorly d...