303-03-010 ISMRM Abstract

Evaluating the Contrast to Noise Ratio in Brain Tumor DSC-MRI Data Collected with the Consensus Low Flip Angle Protocol

Primary: Neuro - Tumors

Secondary: Analysis Methods - Image Synthesis and Translation

303-03-010 · Advanced Tumor Imaging: Bridging Research and Clinical Practice · Monday, 11 May, 4:10 PM–6:00 PM · Auditorium 1

Keywords: DSC & DCE Perfusion Glioblastoma Contrast-to-noise ratio (CNR) Low-Flip-Angle

Accepted

Alia Khaled^1,2,3, Mahsa Servati ^1,2,3,4, Aliya Anil^1,5, Rania Mohamed^1,6, Ashley M Stokes⁷, John P Karis⁸, Melissa A Prah⁹, Leland S Hu¹⁰, Jerrold Boxerman¹¹, Kathleen Schmainda⁹, C. Chad Quarles^1,2,3

¹Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, United States of America

²Cancer Neuroscience Program, The University of Texas MD Anderson Cancer Center, Houston, United States of America

³Cancer Neuroimaging Research Program, The University of Texas MD Anderson Cancer Center, Houston, United States of America

⁴Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, United States of America

⁵The University of Texas at Austin, Austin, United States of America

⁶The University of Texas Health Science Center at Houston - McGovern Medical School, United States of America

⁷Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, United States of America

⁸Department of Neuroradiology, Barrow Neurological Institute, Phoenix, United States of America

⁹Department of Biophysics, Medical College of Wisconsin, Wauwatosa, United States of America

¹⁰Department of Radiology, Mayo Clinic Arizona, Phoenix, United States of America

¹¹Department of Diagnostic Imaging, Rhode Island Hospital, Providence, United States of America

Presenting Author: Mahsa Servati

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References

1. Schmainda KM, Prah M, Connelly J, et al. Dynamic-susceptibility contrast agent MRI measures of relative cerebral blood volume predict response to bevacizumab in recurrent high-grade glioma. Neuro Oncol 2014;16:880–88

2. Abdulla S, Saada J, Johnson G, et al. Tumour progression or pseudoprogression? A review of post-treatment radiological appearances of glioblastoma. Clin Radiol 2015;70:1299–312

3. Digernes I, Nilsen LB, Grøvik E, et al. Noise dependency in vascular parameters from combined gradient-echo and spin-echo DSC MRI. Phys Med Biol 2020;65:225020

4. Prah MA, Schmainda KM. Practical guidance to identify and troubleshoot suboptimal DSC-MRI results. Front Radiol 2024;4:1307586

5. Schmainda KM, Prah MA, Hu LS, et al. Moving toward a consensus DSC-MRI protocol: validation of a low-flip angle single-dose option as a reference standard for brain tumors. AJNR Am J Neuroradiol 2019;40:626–33

6. Boxerman JL, Quarles CC, Hu LS, et al. Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas. Neuro Oncol 2020;22:1262–75

7. Anil A, Stokes AM, Karis JP, et al. Identification of a Single-Dose, Low-Flip-Angle−Based CBV Threshold for Fractional Tumor Burden Mapping in Recurrent Glioblastoma. AJNR Am J Neuroradiol 2024;45:1545–51

8. Boxerman JL, Schmainda KM, Weisskoff RM. Relative cerebral blood volume maps corrected for contrast agent extravasation significantly correlate with glioma tumor grade, whereas uncorrected maps do not. AJNR Am J Neuroradiol 2006;27:859–67

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/303-03-010