Abstract #2319

Quantitative Analysis of IVIM and DSC Perfusion Metrics in Brain Tumors

Louise Rosenqvist¹, Oscar Jalnefjord^1,2, Mats Laesser^3,4, Alma Blombäck¹, Asgeir S. Jakola^5,6, Isabella M. Björkman-Burtscher^3,4, and Maria Ljungberg^1,2

¹Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, ²Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden, ³Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, ⁴Department of Radiology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden, ⁵Institute of Neuroscience and Physiology, Department of Clinical Neuroscience, University of Gothenburg, Gothenburg, Sweden, ⁶Department of Neurosurgery, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden

Synopsis

Keywords: Perfusion, Perfusion, IVIM, DSC, T1GD

Motivation: Intravoxel incoherent motion (IVIM) provides a non-invasive alternative for perfusion imaging, but clinical adoption needs to be facilitated by evaluating quantitative measures for assessing changes in perfusion.

Goal(s): To evaluate different statistical ROI measures for the perfusion fraction (f) and relative cerebral blood volume (rCBV) and assess their impact on the perfusion estimation.

Approach: MRI data of 31 primary tumor patients were analyzed. Four different statistical measures for f and rCBV were estimated in tumor and normal-appearing white matter.

Results: The interpercentile range of perfusion estimates captured a homogeneous perfusion estimation in normal-appearing white matter and demonstrated heterogenously increased perfusion in tumor tissue.

Impact: The interpercentile range of f and rCBV captured a homogeneous perfusion estimation in normal-appearing white matter and demonstrated heterogenously increased perfusion in tumor tissue. The choice of statistical ROI measure can impact the clinical interpretation of quantitative perfusion metrics.

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