About this trial
This trial uses multi-parametric magnetic resonance imaging (MRI) to develop and validate imaging risk score to predict radiation necrosis in participants with brain metastasis treated with radiation therapy. Diagnostic procedures, such as multi-parametric magnetic resonance imaging (MRI), may improve the ability to diagnose radiation necrosis early and help establish treatment strategies.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Patients who underwent stereotactic radiosurgery (SRS, gamma-knife radiosurgery or cyberknife radiosurgery) for brain metastases
One to ten newly diagnosed brain metastases
Patients without acute neurological symptom
Patients with a Karnofsky performance status score of 70 or higher
Disqualifiers
Patients who have undergone prior brain surgery, SRS, or whole-brain radiation therapy.
Patients who are diagnosed with leukemia, lymphoma, germ-cell tumor, small-cell lung cancer, leptomeningeal disease, or unknown primary tumor.
Patients with age < 18 years.
Patients without baseline MRI.
Trial population
Patients of tertiary medical center
Trial design
Cohort
Prospective
Treatments tested in this trial
Magnetic resonance imaging (MRI)
Diagnostic testPre-and post-contrast enhanced T1-weighted image, T2-weighted image, fluid-attenuated inversion recovery image
Diffusion-weighted MRI
Diagnostic testDiffusion-weighted MRI
Arterial spin labeling (ASL)
Diagnostic testCerebral blood flow imaging parameter
Dynamic susceptibility contrast-MRI (DSC-MRI)
Diagnostic testCerebral blood volume and vessel architectural imaging parameters
Treatment groups
Trial outcomes
Primary outcomes
Time to progression
The time from the date of SRS for brain metastasis until the date of progression.
Secondary outcomes
Response rate
The response is determined by response assessment in neuro-oncology brain metastases (RANO-BM) criteria. Clinical and radiologic assessments per lesion and person are carried out at every MRI follow-up using the MRI before SRS as the baseline.
Occurence rate of radiation necrosis
The rate of occurrence of radiation necrosis per lesion is determined through a combination of imaging findings and clinical evaluation by a multidisciplinary team.
Imaging risk score for recurrence
To calculate the imaging risk score, three parameters are added together, namely the "solid component score," the "less enhancing component score," and the "blood flow score," using contrast-enhanced T1-weighted image(T1WI), T2-weighted image (T2WI), diffusion-weighted imaging (DWI), and ASL. The solid component risk score is assigned 0, 1, or 2 points, depending on whether the hypointense lesion on T2WI matches the enhancement in CE-T1WI. The less-enhancing component risk score evaluates the degree of enhancement of the lesion to the dura. It assigns 0, 1, or 2 points depending on whether it is brighter, similar, or less enhanced. The blood flow risk score assigns 0, 1, or 2 points based on the degree of blood flow of the lesion in ASL.
Tumor habitat analysis
Automated process of tumor habitat analysis will include followings. A. Methods: preprocessing includes registration, deep learning segmentation, and normalization of contrast-enhanced T1-weighted (CE-T1) and T2-weighted images. K-means clustering is applied to CE-T1-weighted and T2-weighted images to construct structural MRI habitats and to apparent diffusion coefficient (ADC) and cerebral blood volume (CBV) images to construct physiologic habitats. B. Structural MRI habitats: enhancing tissue habitat, solid low-enhancing habitat, and nonviable tissue habitat C. Physiologic MRI habitats: hypervascular cellular habitat, hypovascular cellular habitat, and nonviable tissue habitat.. D. Quantitative measurement of each habitat will be performed.
Sponsors and contacts
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