Magnetic resonance imaging, MRI, is a procedure that uses radio waves, a powerful magnet, and a computer to make a series of detailed pictures of areas inside the body. The goal of this study is to determine if MR fingerprinting, new way of acquiring MRI images, can help identify the extent of tumor spread in the brain, better than routine MRI images.
Glioblastomas (GBs) are aggressive malignant brain tumors with a median survival of less than 15 months . Infiltration of cancer beyond the tumor margins causes recurrence in nearly 100% of GBs; however, this cannot be measured by current imaging techniques . Availability of reliable and reproducible infiltration prediction maps at initial diagnosis will open new treatment opportunities such as targeted surgery or escalated radiation therapy (RT). On clinical contrast enhanced (CE) magnetic resonance imaging (MRI) scans, a typical GB demonstrates an enhancing mass with central necrosis and an extensive surrounding, peritumoral region with bright signal on T2-weighted(w) and FLAIR (Fluid attenuation inversion recovery) images. This bright, peritumoral T2/FLAIR region is known to contain vasogenic edema and tumor infiltration, as it is well known that GBs infiltrate beyond the enhancing tumor margins. Since there is a clear link between extent of tumor resection and survival the challenge for neurosurgeons is maximizing resection of tumor, while avoiding neurological injury. Typically, the central region of the tumor can be safely resected with minimal risk. The challenge lies in maximal safe resection along the tumor margins as it infiltrates normal brain. MR Fingerprinting is a quantitative imaging (QI) scan developed at CWRU that provides rapid quantification of multiple tissue properties, such as T1 and T2 relaxation maps, with high reproducibility and excellent tissue characterization. Our preliminary analysis of retrospective data of 60 GB participants with MRF+MRI scans with targeted 5-aminolevulenic acid (5-ALA) tissue sampling demonstrates an AUC of 0.8 for MRF/MRI model for GBM infiltration prediction in peritumoral region .
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
The control group will include only standard of care tools. - Standard of care neurosurgical resection will include the use of all standard neurosurgical instruments and techniques (eg, microscope, intraoperative ultrasound, 5-ALA fluorescence guided surgery and neuronavigation system).
Magnetic resonance imaging, MRI, is a procedure that uses radio waves, a powerful magnet, and a computer to make a series of detailed pictures of areas inside the body
University Hospitals Cleveland Medical Center, UH Department of Radiology, Case Comprehensive Cancer Center
Cleveland, Ohio, United States
Number of participants who experienced serious adverse events(SAEs) at 48 hours post targeted biopsy sampling procedure
Safety is defined as the absence of significant complications at 48 hours. SAEs are measured using BTM(Bayesian toxicity monitorin) algorithm
Time frame: 48 hours post surgery
Number of participants who experienced serious adverse events(SAEs) at 30 days post targeted biopsy sampling procedure
Safety is defined as the absence of significant complications at 30 days. SAEs are measured using BTM(Bayesian toxicity monitorin) algorithm
Time frame: 30 days post surgery
Feasibility as assessed by the performance of MRF/MRI infiltration mapping guidance in surgical resection of new glioblastomas
Assessed by post surgical MRI scans
Time frame: Up to 72 hours post surgery
Progression Free Survival(PFS)
PFS will be estimated using Kaplan-Meier method and the difference of PFS between two arms will be compared using log-rank test
Time frame: 6 months
Extent of resection
As assessed by post surgical MRI scans
Time frame: 1 week post surgery
Operator confidence
Time frame: 1 week post surgery
Histopathological correlation
Time frame: Approximately one week post surgery
Recurrence
As assessed by MRI scans
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Time frame: Approximately 12 months post surgery