Quantitative Susceptibility Mapping of the Substantia Nigra in Parkinson’s Disease


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The purpose of this study was to evaluate the sensitivities of quantitative susceptibility mapping (QSM) and R2* mapping in clinical diagnoses of Parkinson’s disease (PD). QSM images and R2* maps from 29 patients with PD and 25 healthy controls were obtained on a clinical 3T magnetic resonance imaging (MRI) system using a three-dimensional multi-echo gradient-echo sequence. Two-tailed t tests and receiver operating characteristic curves analyses were applied to the mean values of QSM and R2* of the two groups. In the PD group, a two-tailed Pearson correlation analysis was used to investigate the correlations between MRI measures (susceptibility and R2* values) and the Unified Parkinson’s Disease Rating Scale-III (UPDRS-III) score. In the substantia nigra (SN), a significant difference between patients with PD and healthy controls was found on QSM (154.80 ± 43.36 vs. 127.50 ± 21.05 ppb, P = 0.006) but not on R2* mapping. The receiver operating characteristic curves showed that QSM was more sensitive than R2* mapping to distinguish PD patients from healthy controls, with areas under the curve equal to 0.68 and 0.51, respectively. The UPDRS-III motor scores did not correlate with mean susceptibility or R2* values in the PD group. In conclusion, QSM is a more accurate and sensitive method than R2* mapping to detect the pathologic changes in the SN of patients with PD.

Sobre autores

Xinxin Zhao

Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University

Email: jqli@phy.ecnu.edu.cn
República Popular da China, 3663 North Zhongshan Road, Shanghai, 200062

Hedi An

Department of Neurology, School of Medicine, East Hospital Affiliated to Tongji University

Email: jqli@phy.ecnu.edu.cn
República Popular da China, 150 Jimo Road, Pudong, Shanghai, 200120

Tian Liu

Department of Radiology, Weill Medical College of Cornell University

Email: jqli@phy.ecnu.edu.cn
Estados Unidos da América, 515 East 71st St., Suite S106, New York, NY, 10021

Nan Shen

Department of Neurology, School of Medicine, East Hospital Affiliated to Tongji University

Email: jqli@phy.ecnu.edu.cn
República Popular da China, 150 Jimo Road, Pudong, Shanghai, 200120

Binshi Bo

Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University

Email: jqli@phy.ecnu.edu.cn
República Popular da China, 3663 North Zhongshan Road, Shanghai, 200062

Zhuwei Zhang

Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University

Email: jqli@phy.ecnu.edu.cn
República Popular da China, 3663 North Zhongshan Road, Shanghai, 200062

Pengfei Weng

Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University

Email: jqli@phy.ecnu.edu.cn
República Popular da China, 3663 North Zhongshan Road, Shanghai, 200062

Meining Chen

Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University

Email: jqli@phy.ecnu.edu.cn
República Popular da China, 3663 North Zhongshan Road, Shanghai, 200062

Mengchao Pei

Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University

Email: jqli@phy.ecnu.edu.cn
República Popular da China, 3663 North Zhongshan Road, Shanghai, 200062

Yi Wang

Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University; Department of Radiology, Weill Medical College of Cornell University

Email: jqli@phy.ecnu.edu.cn
República Popular da China, 3663 North Zhongshan Road, Shanghai, 200062; 515 East 71st St., Suite S106, New York, NY, 10021

Dongya Huang

Department of Neurology, School of Medicine, East Hospital Affiliated to Tongji University

Autor responsável pela correspondência
Email: dongyahuang77@hotmail.com
República Popular da China, 150 Jimo Road, Pudong, Shanghai, 200120

Jianqi Li

Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University

Autor responsável pela correspondência
Email: jqli@phy.ecnu.edu.cn
República Popular da China, 3663 North Zhongshan Road, Shanghai, 200062

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