Spots Global Cancer Trial Database for Usefulness of Gadovist-enhanced FLAIR Imaging

Study Description

Brief Summary: Polyplastic glioblastoma and metastatic brain cancer are the most common malignant brain tumors in adults. The primary diagnostic test for tumors in the brain shows magnetic resonance imaging or similar imaging findings (especially single metastatic brain cancer) that make it difficult to distinguish between these two diseases. In addition, due to the specificity of the tissue called the brain, biopsy is not easy and sometimes biopsy is difficult, so non-invasive discrimination is often important, and it is important how much prediction is made before the biopsy. To solve this problem, various advanced magnetic resonance imaging techniques have been studied, but they are all tests that need to be additionally conducted on ordinary magnetic resonance images, and there are many subjective factors, so complex data and statistical processing methods, and many cannot be easily tested. In addition, in all of these tests, accuracy is still reported at around 60%. Therefore, if contrast-enhanced FLAIR images can be obtained along with contrast-enhanced T1 images performed during conventional magnetic resonance imaging tests to help differentiate between two diseases, it will greatly help diagnose and treat brain tumor patients and facilitate clinical application.

Detailed Description: Polyplastic glioblastoma and metastatic brain tumors are the most common brain tumors in adults. Polyplastic glioblastoma is the most common tumor among malignant primary brain tumors, and metastatic brain tumors are the most common brain tumors in adults. In the diagnosis of brain tumors, magnetic resonance imaging is the most basic and primary imaging technique to date. However, in the case of a single metastatic brain tumor, the tumor shape, signal intensity, contrast enhancement pattern, and peripheral signal intensity appear so similar that they are hardly distinguished from polymorphic glioblastoma in conventional magnetic resonance images. However, it is very important to distinguish between the two diseases because the above two diseases have completely different characteristics in clinical aspects, surgical method decisions, treatment decisions, and prognosis. Obtaining histological results will be the ultimate answer, but due to the nature of tissue called the brain, non-invasive tests are preferred, and sometimes patients (e.g., cardiovascular disease) or lesions themselves cannot handle surgery are in a very important part of the brain, so it depends on imaging techniques. In addition, the distinction between the two diseases through imaging is important in that it is important to predict in advance even if biopsy is performed through surgery. Therefore, various advanced magnetic resonance imaging techniques such as diffusion-enhanced imaging (DWI), perfusion imaging (perfusion), and spectroscopic imaging (MR spectroscopy) have been attempted to better differentiate the two diseases through imaging tests. However, these images are additional imaging tests that need to be obtained after obtaining conventional magnetic resonance images and are usually accompanied by complex and various statistical analyses due to many subjective elements. In addition, there are tests that are difficult to conduct other than large hospitals with a certain size or larger. Nevertheless, the accuracy of the discrimination between the two diseases to date is around 60%. In addition, such tests are often difficult to perform in most hospitals, except for large hospitals with a certain size or larger. Therefore, if the two diseases can be better identified in conventional magnetic resonance imaging, it will be of great help to patient care clinically and it is expected that actual clinical application will be easier. Contrast-enhanced T1 highlighted images are always performed in conventional magnetic resonance images, and after that, one more FLAIR image is obtained to see if contrast-enhanced FLAIR images are helpful in differentiating the two diseases.

Keywords

Eligibility

Minimum Age: 19 Years

Eligible Ages: ADULT, OLDER_ADULT

Sex: ALL

Healthy Volunteers: No

Locations

Contact Details

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