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A pilot study of magnetic resonance fingerprinting in Parkinson's disease
Author(s) -
Keil Vera Catharina,
Bakoeva Stilyana Peteva,
Jurcoane Alina,
Doneva Mariya,
Amthor Thomas,
Koken Peter,
Mädler Burkhard,
Lüchters Guido,
Block Wolfgang,
Wüllner Ullrich,
Hattingen Elke
Publication year - 2020
Publication title -
nmr in biomedicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.278
H-Index - 114
eISSN - 1099-1492
pISSN - 0952-3480
DOI - 10.1002/nbm.4389
Subject(s) - magnetic resonance imaging , voxel , receiver operating characteristic , nuclear medicine , medicine , putamen , correlation , white matter , nuclear magnetic resonance , pattern recognition (psychology) , artificial intelligence , radiology , mathematics , computer science , physics , geometry
Parkinson's disease (PD) affects more than six million people, but reliable MRI biomarkers with which to diagnose patients have not been established. Magnetic resonance fingerprinting (MRF) is a recent quantitative technique that can provide relaxometric maps from a single sequence. The purpose of this study is to assess the potential of MRF to identify PD in patients and their disease severity, as well as to evaluate comfort during MRF. Twenty‐five PD patients and 25 matching controls underwent 3 T MRI, including an axial 2D spoiled gradient echo MRF sequence. T1 and T2 maps were generated by voxel‐wise matching the measured MRF signal to a precomputed dictionary. All participants also received standard inversion recovery T1 and multi‐echo T2 mapping. An ROI‐based analysis of relaxation times was performed. Differences between patients and controls as well as techniques were determined by logistic regression, Spearman correlation and t‐test. Patients were asked to estimate the subjective comfort of the MRF sequence. Both MRF‐based T1 and T2 mapping discriminated patients from controls: T1 relaxation times differed most in cortical grey matter (PD 1337 ± 38 vs. control 1386 ± 37 ms; mean ± SD; P = .0001) and, in combination with normal‐appearing white matter, enabled correct discrimination in 85.7% of cases (sensitivity 83.3%; specificity 88.0%; receiver‐operating characteristic [ROC]) area under the curve [AUC] 0.87), while for T2 mapping the left putamen was the strongest classifier (40.54 ± 6.28 vs. 34.17 ± 4.96 ms; P = .0001), enabling differentiation of groups in 84.0% of all cases (sensitivity 80.0%; specificity 88.0%; ROC AUC 0.87). Relaxation time differences were not associated with disease severity. Standard mapping techniques generated significantly different relaxation time values and identified other structures as different between groups other than MRF. Twenty‐three out of 25 PD patients preferred the MRF examination instead of a standard MRI. MRF‐based mapping can identify PD patients with good comfort but needs further assessment regarding disease severity identification and its potential for comparability with standard mapping technique results.