经颅超声和神经黑色素敏感磁共振成像对帕金森病患者临床和神经影像学的研究

Q4 Medicine
A. Moskalenko, A. Chechetkin, A. Filatov, E. Fedotova, R. Konovalov, S. Illarioshkin
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引用次数: 0

摘要

背景。帕金森病(PD)是最常见的神经退行性疾病之一,影响60岁以上人口的1%。PD的主要病理特征包括含多巴胺能神经元的神经黑色素(NM)变性和中脑黑质(SN)铁沉积。各种对NM和铁敏感的神经影像学方法对诊断和监测疾病进展具有重要的临床意义。这种神经成像方法的例子首先包括经颅超声(TCS)和神经黑色素敏感磁共振成像(NM-MRI)。比较TCS与NM-MRI对PD与正常患者的诊断意义和有效性,阐明TCS中脑高回声性(HE)在NM-MRI上的磁共振形态学表征。材料和方法。40例PD患者作为主要组,20例性别、年龄与主要组相当的健康志愿者作为对照组。在TCS过程中进行HE检测时,对该区域进行人工跟踪和自动计算。使用图像处理程序image - j (USA)对NM-MRI图像进行预处理,随后自动计算SN面积。根据所获得的数据,估计临床,人口学和神经影像学的相关性。TCS与正常PD鉴别的敏感性和特异度分别为70%和100%,NM-MRI的敏感性和特异度分别为90.0和92.5%。根据同侧的NM-MRI数据分析HE面积与SN面积之间的关系,显示出显著的负相关(对于右侧:ρ = -0.606, p < 0.001;左侧ρ = -0.550;P < 0.001)。因此,在HE面积增加的情况下,预计纳米磁共振成像测量的SN面积会减少。TCS和NM-MRI是可靠的生物标志物,可用于PD与正常人的高效鉴别。PD在神经退行性过程中变化的病理生理和神经影像学相关因素尚不完全清楚,需要在多中心前瞻性研究中进一步阐明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical and neuroimaging study of patients with Parkinson’s disease using transcranial sonography and neuromelanin-sensitive magnetic resonance imaging
Background. Parkinson’s disease (PD) is one of the most common neurodegenerative diseases and aff ects 1% of the population above 60 years. The leading pathological features of PD include degeneration of neuromelanin (NM) containing dopaminergic neurons and iron deposition in the substantia nigra (SN) of the midbrain. Various neuroimaging methods sensitive to NM and iron can be clinically important for diagnosing and monitoring disease progression. Examples of such neuroimaging methods include transcranial sonography (TCS) and neuromelanin-sensitive magnetic resonance imaging (NM-MRI) fi rst and foremost.Aims. To compare the diagnostic signifi cance and eff ectiveness of TCS and NM-MRI in diff erentiating patients with PD from the norm and to elucidate the magnetic resonance- (MR-) morphological representation of the hyperechogenicity (HE) on midbrain during TCS by NM-MRI.Material and methods. 40 patients with PD were included in the main group, and 20 healthy volunteers of gender and age comparable with the main group were included in the control group. In the case of HE detection during TCS, this area was manually traced and automatic calculated. NM-MRI images were pre-processed using image processing program Image-J (USA) with subsequent automatic calculation of SN area. Based on the data obtained, clinical, demographic and neuroimaging correlations were estimated.Results. The sensitivity and specifi city of TCS in diff erentiating PD from the norm were 70 and 100% respectively, the sensitivity and specifi city of NM-MRI were 90.0 and 92.5% respectively. An analysis of the relationship between the HE area and the area of the SN according to NM-MRI data on the ipsilateral side showed a noticeable inverse correlation (for the right side: ρ = –0.606, p < 0.001; for the left side: ρ = –0.550; p < 0.001). Thus, in the case of an increase in the HE area, a decrease in the area of SN measured using NM-MRI is expected.Conclusion. TCS and NM-MRI are reliable biomarkers allowing highly eff ective diff erentiation of PD from normal. The pathophysiological and neuroimaging correlates of PD changes in neurodegenerative process remain not completely clear and require further clarifi cation in multicenter prospective studies.
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来源期刊
Russian Neurological Journal
Russian Neurological Journal Medicine-Neurology (clinical)
CiteScore
0.40
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