Combined MR quantitative susceptibility mapping and multi-shell diffusion in Parkinson's disease

IF 2.3 4区 医学 Q3 CLINICAL NEUROLOGY Journal of Neuroimaging Pub Date : 2024-07-14 DOI:10.1111/jon.13222
Oscar Andersson Forsman, Henrik Sjöström, Per Svenningsson, Tobias Granberg
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Abstract

Background and Purpose

Quantitative susceptibility mapping (QSM), neurite orientation dispersion and density imaging (NODDI), and the g-ratio have separately shown differences between Parkinson's disease (PD) and healthy controls. The g-ratio has, however, not been studied in PD in the substantia nigra (SN) and the putamen. A combination of these methods could also potentially be a complementary imaging biomarker for PD. This study aimed to assess the diagnostic performance of QSM, NODDI, the g-ratio, and a combined QSM-NODDI imaging marker in the SN and putamen of PD patients.

Methods

In this prospective study, the diagnostic performance of median region of interest values was compared in a cohort of 15 participants with PD and 14 healthy controls after manual segmentation. The diagnostic performance was assessed using the area under curve (AUC) for the receiving operator characteristic.

Results

Median QSM in the contralateral SN identified PD with AUC 0.77, and median isotropic volume fraction identified PD in the ipsilateral SN with AUC 0.68. A combined NODDI-QSM marker improved diagnostic performance (AUC 0.80). No significant differences were found in the g-ratio.

Conclusion

A combination of median QSM and median isotropic volume fraction improves the differentiation of PD from healthy controls and is a potential biomarker in the diagnostics of PD. This confirms previously reported results indicating that combining QSM and NODDI modestly improves differentiation of PD.

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帕金森病中的磁共振定量易感性图谱和多壳扩散相结合。
背景和目的:定量易感图(QSM)、神经元定向分散和密度成像(NODDI)以及g比率已分别显示出帕金森病(PD)与健康对照组之间的差异。然而,尚未对帕金森病黑质(SN)和普鲁士门的 g 比率进行研究。这些方法的结合也有可能成为帕金森病的补充成像生物标志物。本研究旨在评估 QSM、NODDI、g 比值以及 QSM-NODDI 联合成像标记物在帕金森病患者的黑质和视丘中的诊断性能:在这项前瞻性研究中,对 15 名帕金森病患者和 14 名健康对照者进行手动分割后,比较了感兴趣区中值的诊断性能。诊断性能使用接收操作者特征曲线下面积(AUC)进行评估:结果:对侧SN的QSM中位数识别出了PD,AUC为0.77;同侧SN的各向同性体积分数中位数识别出了PD,AUC为0.68。联合 NODDI-QSM 标记提高了诊断性能(AUC 0.80)。结论:结论:QSM中位数和各向同性体积分数中位数的组合提高了PD与健康对照组的区分度,是诊断PD的潜在生物标志物。这证实了之前报道的结果,即结合QSM和NODDI可适度改善PD的分化。
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来源期刊
Journal of Neuroimaging
Journal of Neuroimaging 医学-核医学
CiteScore
4.70
自引率
0.00%
发文量
117
审稿时长
6-12 weeks
期刊介绍: Start reading the Journal of Neuroimaging to learn the latest neurological imaging techniques. The peer-reviewed research is written in a practical clinical context, giving you the information you need on: MRI CT Carotid Ultrasound and TCD SPECT PET Endovascular Surgical Neuroradiology Functional MRI Xenon CT and other new and upcoming neuroscientific modalities.The Journal of Neuroimaging addresses the full spectrum of human nervous system disease, including stroke, neoplasia, degenerating and demyelinating disease, epilepsy, tumors, lesions, infectious disease, cerebral vascular arterial diseases, toxic-metabolic disease, psychoses, dementias, heredo-familial disease, and trauma.Offering original research, review articles, case reports, neuroimaging CPCs, and evaluations of instruments and technology relevant to the nervous system, the Journal of Neuroimaging focuses on useful clinical developments and applications, tested techniques and interpretations, patient care, diagnostics, and therapeutics. Start reading today!
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