Abstract #4538

Detecting dopaminergic degeneration in clinically uncertain parkinsonian syndrome patients using fast MR-STAT relaxometry

Martin B Schilder¹, Elon D Wallert², Stefano Mandija¹, Oscar van der Heide¹, Hanna Liu¹, Miha Fuderer¹, Jan Booij², Rob M A de Bie³, Martijn Beudel³, Henk W Berendse³, Tom van Mierlo⁴, Jeroen Blankevoort⁵, Cornelis A T van den Berg¹, Elsmarieke M van de Giessen², and Alessandro Sbrizzi¹

¹Computational Imaging Group for MRI Therapy & Diagnostics, Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands, ²Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands, ³Department of Neurology, Amsterdam UMC, Amsterdam, Netherlands, ⁴Department of Neurology, Spaarne Gasthuis, Haarlem, Netherlands, ⁵Department of Neurology, Flevoziekenhuis, Almere, Netherlands

Synopsis

Keywords: Parkinson's Disease, Parkinson's Disease, MR-STAT, quantitative MRI, relaxometry

Motivation: Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT) offers fast T1-/T2-mapping for tissue characterization. We investigated the ability to detect dopaminergic degeneration in clinically uncertain parkinsonian syndrome (CUPS) patients.

Goal(s): To assess differences in T1-/T2-values between neurodegenerative and non-neurodegenerative parkinsonism in relevant brain regions using MR-STAT, with dopamine transporter SPECT (DaT-SPECT) as gold standard.

Approach: We compared mean T1-/T2-values of grey matter/white matter/caudate nucleus/globus pallidus/putamen/thalamus of patients with neurodegenerative (abnormal DaT-SPECT) versus non-neurodegenerative parkinsonism (normal DaT-SPECT).

Results: We found consistently lower T1-values and higher T2-values in neurodegenerative versus non-neurodegenerative CUPS patients, reflecting neuropathological changes in neurodegenerative parkinsonism, indicating potential of MR-STAT as diagnostic tool.

Impact: Our results demonstrate that MR-STAT detects differences in T1-/T2-values between neurodegenerative versus non-neurodegenerative parkinsonism patients in a fast and inexpensive way, therewith showing potential as easily accessible tool for detecting neuropathological changes in neurodegenerative parkinsonism with potential diagnostic application.

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