TY - JOUR
T1 - The utility of cerebral perfusion SPECT analysis using SPM8, eZIS and vbSEE for the diagnosis of multiple system atrophy-parkinsonism
AU - Sakurai, Keita
AU - Imabayashi, Etsuko
AU - Ito, Kimiteru
AU - Tokumaru, Aya M.
AU - Ozawa, Yoshiyuki
AU - Muto, Masahiro
AU - Nakagawa, Motoo
AU - Okita, Kenji
AU - Matsukawa, Noriyuki
AU - Shibamoto, Yuta
N1 - Publisher Copyright:
© 2014, The Japanese Society of Nuclear Medicine.
PY - 2014/2
Y1 - 2014/2
N2 - Objective: Although a correct diagnosis is important for appropriate management, accurately differentiating between multiple system atrophy with predominant parkinsonism (MSA-P) and Parkinson’s disease (PD) is often difficult because of similarities in the early-stage symptoms. The aim of this study was to evaluate the diagnostic value of cerebral perfusion single photon emission computed tomography (SPECT) and voxel-based analysis for diagnosing MSA-P patients.Methods: Thirty-eight subjects (9 with early-stage MSA-P, 11 with PD, and 18 controls) were included in this study. Z-scores suggestive of hypoperfusion were calculated between patients and controls using statistical parametric mapping (SPM) 8 and easy Z-score imaging system (eZIS) programs. A voxel-based stereotactic extraction estimation (vbSEE) program was performed to determine the target volumes of interest (VOIs) in the putamen, pons, and cerebellum, and quantify Z-scores as “extent” (the rate of voxels with a Z-score >2.0 in these VOIs) and “severity” (average Z-scores in these VOIs). These parameters were used as the determinant in receiver operating characteristic (ROC) analyses.Results: The extent and severity of the cerebellar VOIs were higher in MSA-P patients than in PD patients. In ROC analyses, the extent and severity of the cerebellar VOI exhibited the highest areas under the curves of 0.86 and 0.84, and accuracies of 90 and 90 %, respectively.Conclusions: The diagnostic value of significant cerebellar hypoperfusion was the highest for differentiating MSA-P from PD. This voxel-based analysis of cerebral perfusion SPECT using the SPM8, eZIS, and vbSEE programs is useful for clinically diagnosing MSA-P.
AB - Objective: Although a correct diagnosis is important for appropriate management, accurately differentiating between multiple system atrophy with predominant parkinsonism (MSA-P) and Parkinson’s disease (PD) is often difficult because of similarities in the early-stage symptoms. The aim of this study was to evaluate the diagnostic value of cerebral perfusion single photon emission computed tomography (SPECT) and voxel-based analysis for diagnosing MSA-P patients.Methods: Thirty-eight subjects (9 with early-stage MSA-P, 11 with PD, and 18 controls) were included in this study. Z-scores suggestive of hypoperfusion were calculated between patients and controls using statistical parametric mapping (SPM) 8 and easy Z-score imaging system (eZIS) programs. A voxel-based stereotactic extraction estimation (vbSEE) program was performed to determine the target volumes of interest (VOIs) in the putamen, pons, and cerebellum, and quantify Z-scores as “extent” (the rate of voxels with a Z-score >2.0 in these VOIs) and “severity” (average Z-scores in these VOIs). These parameters were used as the determinant in receiver operating characteristic (ROC) analyses.Results: The extent and severity of the cerebellar VOIs were higher in MSA-P patients than in PD patients. In ROC analyses, the extent and severity of the cerebellar VOI exhibited the highest areas under the curves of 0.86 and 0.84, and accuracies of 90 and 90 %, respectively.Conclusions: The diagnostic value of significant cerebellar hypoperfusion was the highest for differentiating MSA-P from PD. This voxel-based analysis of cerebral perfusion SPECT using the SPM8, eZIS, and vbSEE programs is useful for clinically diagnosing MSA-P.
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U2 - 10.1007/s12149-014-0928-4
DO - 10.1007/s12149-014-0928-4
M3 - Article
C2 - 25413272
AN - SCOPUS:84925463540
SN - 0914-7187
VL - 29
SP - 206
EP - 213
JO - Annals of Nuclear Medicine
JF - Annals of Nuclear Medicine
IS - 2
ER -