Volumetric analysis and quantification especially of dynamic MR sequences is increasingly invaluable for assessing treatment response and time to progression in the majority of clinical trials focusing on neuro-oncology. These innovative therapeutic trials rely heavily on consistent image acquisitions even in multi-center Phase 2/3 trials. We have developed a highly structured DICOM tag based, parameter driven, semi-automated QC approach that readily enables visualization of acquisition inconsistencies using a heat-mapping spectrum. As the imaging core laboratory for several NCI-NCTN clinical trials, we expanded the QC methodology to also enable constructive feedback education / training to help improve the quality of Neuro-MRI submissions.
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