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Abstract #4241

No-Cost, Vendor-Agnostic MR Spectroscopy Fitting Software Can Predict Diagnostic Quality and Utility of Clinical Brain Studies

Samuel A. Einstein1, Jason M. Johnson2, and R. Jason Stafford1

1Department of Imaging Physics, The UT MD Anderson Cancer Center, Houston, TX, United States, 2Department of Diagnostic Radiology, The UT MD Anderson Cancer Center, Houston, TX, United States

MR spectroscopy (MRS) allows for non-invasive assessment of tissue metabolites and is rapidly expanding in clinical use. Current MRS QC recommendations, however, are phantom-based and infrequent. This study investigated the feasibility of using no-cost, vendor-agnostic fitting software to provide quantitative quality assessment of patient brain MRS. We demonstrated that freely-available MRS fitting software can stratify spectral diagnostic quality and utility. This technique can be used to provide the clinician with an estimate of quality for each patient spectrum. Additionally, this approach is amenable to real-time patient MRS quality verification and longitudinal monitoring of protocol performance.

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