Abstract
Objective: This study aimed to compare the diagnostic value of 123I-metaiodobenzylguanidine (MIBG) myocardial scintigraphy, N-isopropyl-p[123I]iodoamphetamine (IMP) brain perfusion single-photon emission computed tomography (SPECT), and brain magnetic resonance imaging (MRI) voxel-based morphometry (VBM) for the differentiation of dementia with Lewy bodies (DLB) and Alzheimer’s disease (AD).
Methods: Thirty-five and 34 patients with probable DLB and probable AD, respectively, were enrolled. All patients underwent 123I-MIBG myocardial scintigraphy, 123I-IMP brain perfusion SPECT, and brain MRI. For 123I-MIBG imaging, we calculated early and delayed heart-to-mediastinum (H/M) uptake ratios. Three-dimensional stereotactic surface projections (3D-SSP) were used to analyze the results of 123I-IMP SPECT. VBM with statistical parametric mapping 8 plus diffeomorphic anatomical registration using exponentiated Lie algebra (DARTEL) was used to analyze the brain MRI data.
Conclusions: 123I-MIBG myocardial scintigraphy was superior to brain perfusion SPECT and brain MRI using an advanced statistical technique to differentiate DLB and AD.
Results: The area under the receiver operating characteristic curves (AUC) for discriminating DLB and AD was highest (0.882) for the delayed H/M ratio on 123I-MIBG scintigraphy. AUC for z-score measurement in the occipital lobe was 0.818 and that for the extent of gray matter (GM) atrophy in the whole brain was 0.788. AUC for the combination of 3D-SSP and VBM analysis was 0.836. The respective sensitivities and specificities for distinguishing DLB from AD were 97.1 and 100 % for the delayed H/M ratio using 123I-MIBG scintigraphy; 88.6 and 73.5 % for the occipital lobe z-score using 3D-SSP analysis; 85.7 and 64.7 % for the extent of whole brain GM atrophy using voxel-based MRI morphometry; and 91.4 and 76.5 % for the combination of 3D-SSP analysis and VBM.
Original language | English |
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Pages (from-to) | 796-804 |
Number of pages | 9 |
Journal | Annals of Nuclear Medicine |
Volume | 28 |
Issue number | 8 |
DOIs | |
Publication status | Published - 16-10-2014 |
All Science Journal Classification (ASJC) codes
- Radiology Nuclear Medicine and imaging