Abstract #2859

Novel Sequence for Improving Detection and Identification of Brain Tumor Lesions

Jinghua Wang¹, Mary Gaskill-Shipley¹, Michael Lamba², Kim M Cecil¹, Lily Wang¹, Bin Zhang³, Hui Wang⁴, Lois Carpenter¹, and Achala Vagal¹

¹Radiology, University of Cincinnati, Cincinnati, OH, United States, ²Radiation Oncology, University of Cincinnati, Cincinnati, OH, United States, ³Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, ⁴Philips, Cincinnati, OH, United States

Early detection and accurate identification of lesions are very important for diagnosis and treatment of brain tumors. Contrast-enhanced (CE) magnetic resonance imaging (MRI) is the gold standard method for the non-invasive identification of primary brain tumors and cerebral metastases. In clinical practice, current CE MRI protocols are acquired with an isotropic resolution around 1.0 millimeter at 3.0 T that is limited by tumor-tissue contrast to noise efficiency. In this investigation, our purpose was to improve the efficiency by incorporating inversion recovery prepared spoiled gradient recalled (IR-GRE) sequence with hybrid k-space and variable flip angles to reach submillimeter resolution in clinical acceptable scan time.

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