Mri Brain Tumors
Mri Brain Tumors - Related Videos
04:11
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2023
This video describes the technique of DCE-MRI for orthotropic pancreatic tumor xenografts in mice. DCE-MRI is a non-invasive method to analyze microvasculature in a target tissue, and useful to assess vascular response in a tumor following a novel therapy. This method will assist investigators to apply DCE-MRI for orthotopic gastrointestinal cancer mouse models.
03:45
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This video demonstrates the application of Tumor Treating Fields or TTFields in human brain tumor models. This non-invasive technique delivers low-intensity alternating electric fields directly to the brain, resulting in inhibition of cell division and subsequent apoptosis.
03:10
Treatment of Brain Tumors in a Mouse Model Using Sonodynamic Therapy
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2025
Source: Mess, G., et al. Sonodynamic Therapy for the Treatment of Glioblastoma Multiforme in a Mouse Model Using a Portable Benchtop Focused Ultrasound System. J. Vis. Exp. (2023)This video demonstrates a protocol for performing sonodynamic therapy on a brain tumor in a mouse model using magnetic resonance-guided focused ultrasound (MRgFUS). A sonosensitizer precursor is administered prior to treatment, which accumulates in tumor cells and is activated by focused ultrasound to produce reactive...
15:53
Utilizing 3D Printing Technology to Merge MRI with Histology: A Protocol for Brain Sectioning
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Cited by 33 •
2016
The overall goal of this protocol is to accurately align magnetic resonance imaging (MRI) image volumes with histology sections via the creation of customized 3D-printed brain holders and slicer boxes.
08:36
Ultrasound Imaging-guided Intracardiac Injection to Develop a Mouse Model of Breast Cancer Brain Metastases Followed by Longitudinal MRI
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Cited by 26 •
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A breast cancer brain metastasis mouse model is established with ultrasound imaging-guided intracardiac injection of MDA-MB231/Br-GFP cells. Development of multifocal intracranial metastases has been monitored longitudinally using high-resolution 9.4 T MRI.
FAQs
Each MRI sequence emphasizes a different property of tissue, such as structural anatomy, fluid content, blood flow, or contrast-agent uptake. Comparing these views helps distinguish the lesion from surrounding brain regions and provides complementary information about its appearance. This multi-sequence approach supports more informed tumor characterization than relying on a single image type.
Contrast-agent uptake adds information about how a lesion differs from nearby brain tissue. When interpreted alongside structural and fluid-sensitive sequences, uptake patterns can help clinicians characterize abnormal tissue and understand its boundaries. That information contributes to diagnosis and treatment planning, particularly when the tumor’s relationship to surrounding regions must be assessed.
Serial examinations allow clinicians and researchers to compare tumor size and imaging features across time. These changes may provide evidence about evolving tumor biology or treatment response. Because MRI does not expose patients to ionizing radiation, it can support repeated assessment during monitoring while preserving detailed views of the brain and lesion.
MRI shows the tumor in relation to surrounding brain anatomy, allowing clinicians to evaluate its location and extent before treatment. Detailed structural views, combined with information from other sequences, help inform planning for surgical intervention. The resulting images can also support assessment of how abnormal tissue is positioned within the broader brain region.
Cancer researchers can use MRI to study tumor detection, classification, and changes associated with therapy. Structural appearance, fluid-related features, blood-flow information, and contrast uptake provide different measures of the lesion. Together, these observations help researchers investigate tumor characteristics and evaluate whether imaging changes correspond with treatment response.
Researchers compare examinations performed at different points during treatment to identify changes in tumor size or imaging appearance. These longitudinal measurements can help evaluate whether a therapy is producing a detectable response and can provide information about changing tumor biology. MRI therefore supports ongoing assessment rather than only a single diagnostic decision.