上海交通大学学报（医学版）2025，Vol.45Issue(1)：69-78,10.DOI:10.3969/j.issn.1674-8115.2025.01.008
纹理多参数分析在帕金森病患者脑磁化率定量中的应用研究
Study on multi-parametric texture analysis for quantifying brain magnetic susceptibility in patients with Parkinson's disease
摘要
Abstract
Objective·To quantify brain iron content in Parkinson's disease(PD)patients by using quantitative susceptibility mapping(QSM)based on phase linearity fitting.Combined with texture analysis methods,the magnetic susceptibility distribution characteristics of gray matter nuclei in PD patients were quantitatively analyzed with multiple parameters and dimensions,and the sensitivity of texture features was evaluated with clinical scoring.Methods·Quantitative susceptibility images from 20 PD patients and 20 healthy controls(HC)were analyzed retrospectively.Regions of interest in basal ganglia were manually segmented,followed by three-dimensional texture analysis by using gray-level run-length matrix(GLRLM).One-way analysis of variance(ANOVA)was performed to compare differences between the two groups,and the bilateral Pearson linear correlation coefficient(r)was calculated to evaluate the correlation between texture parameters and UPDRS-Ⅲ clinical scores.Results·The analysis of texture feature parameters showed that there were significant differences between the PD and HC groups in the gray matter nuclei.Among all the texture feature parameters of GLRLM,LngREnch showed significant differences between the PD group and the HC group in the five gray matter nuclei measured.The average magnetic susceptibility of gray matter nuclei and GLRLM texture parameters were sensitive in distinguishing PD from HC(AUC＞0.5).The AUC values of RLNonUni,LngREnch,ShrtREmp,and Fraction were higher than that of the average magnetization susceptibiliyt.The correlation analysis showed that RLNonUni and GLevNonU in the caudate nucleus(CN),as well as GLevNonU in the red nucleus(RN),were significantly correlated with UPDRS-Ⅲ scores,while no significant clinical correlations were found for the remaining parameters.Conclusion·Compared to the mean magnetic susceptibility values,GLRLM texture parameters provide better differentiation between the PD and HC groups.Multiparameter texture analysis offers a novel approach to QSM-based quantitative assessment of brain iron content,which can provide additional multidimensional quantitative information for the non-invasive diagnosis of PD.关键词
帕金森病/定量磁化率成像/纹理特征/铁沉积Key words
Parkinson's disease/quantitative susceptibility mapping/texture features/iron deposition分类
医药卫生引用本文复制引用
赵欣欣,裴孟超..纹理多参数分析在帕金森病患者脑磁化率定量中的应用研究[J].上海交通大学学报（医学版）,2025,45(1):69-78,10.基金项目
上海市卫生健康委员会卫生行业临床研究专项(20194Y0087). Clinical Research Program of Shanghai Municipal Health Commission(20194Y0087). （20194Y0087）
