The utility of the combined use of 123I-FP-CIT SPECT and neuromelanin MRI in differentiating Parkinson's disease from other parkinsonian syndromes
| Autor: | Yuki Aozasa, Kazuhiko Nakamura, Eiji Matsusue, Yoshio Fujihara, Ken-ichiro Tanaka, Hiroyuki Nakayasu, Manabu Shimoda, Toshihide Ogawa |
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| Rok vydání: | 2018 |
| Předmět: |
Parkinson's disease
Radiological and Ultrasound Technology medicine.diagnostic_test biology business.industry Combined use Magnetic resonance imaging General Medicine Single-photon emission computed tomography medicine.disease 030218 nuclear medicine & medical imaging Parkinsonian syndromes 03 medical and health sciences 0302 clinical medicine Nuclear magnetic resonance Neuromelanin 123I-FP-CIT 030220 oncology & carcinogenesis medicine biology.protein Radiology Nuclear Medicine and imaging business Dopamine transporter |
| Zdroj: | Acta Radiologica. 60:230-238 |
| ISSN: | 1600-0455 0284-1851 |
| DOI: | 10.1177/0284185118778871 |
| Popis: | Background Neuromelanin magnetic resonance imaging (NmMRI) and 123I-FP-CIT dopamine transporter single photon emission computed tomography (DAT-SPECT) provide specific information that distinguishes Parkinson's disease (PD) from non-degenerative parkinsonian syndrome (NDPS). Purpose To determine whether a multiparametric scoring system (MSS) could improve accuracy compared to each parameter of DAT-SPECT and NmMRI in differentiating PD from NDPS. Material and Methods A total of 49 patients, including 14 with NDPS, 30 with PD, and five with atypical parkinsonian disorder (APD) underwent both NmMRI and DAT-SPECT and were evaluated. The average (Ave) and the asymmetry index (AI) were calculated in the substantia nigra compacta area (SNc-area), SNc midbrain-tegmentum contrast ratio (SNc-CR), and specific binding ratio (SBR). Cut-off values were determined, using receiver operating characteristic (ROC) analysis, for the differentiation of PD from NDPS on the statistically significant parameters. All cases were scored as either 1 (PD) or 0 (NDPS) for each parameter according to its threshold. These individual scores were totaled for each case, yielding a combined score for each case to obtain a cut-off value for the MSS. Results The Ave-SNc-area, Ave-SNc-CR, and Ave-SBR in PD were significantly lower than those in NDPS. The AI-SNc-area and AI-SBR in PD were significantly higher than those in NDPS. Of the five parameters, the highest accuracy was 93% for the Ave-SNc-area. For the MSS, a cut-off value of 3 was the accuracy of 96%. Besides, no significant difference was observed between PD and APD on all parameters. Conclusion An MSS has comparable or better accuracy compared to each parameter of DAT-SPECT and NmMRI in distinguishing PD from NDPS. |
| Databáze: | OpenAIRE |
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