■自闭症谱系障碍(ASD)包括一系列神经发育障碍,早期发现至关重要。这项研究旨在确定健康对照和自闭症患者之间存在显着差异的感兴趣区域(ROI)。以及评估FreeSurfer6(FS6)和计算解剖学工具箱(CAT12)方法之间的协议。
■从FS软件和用于统计参数映射(SPM)软件的CAT12工具箱中提取基于表面和基于体积的特征,以估计ROI方面的生物标志物。在18名男性典型发育对照(TDC)和40名患有ASD的男性受试者之间比较这些生物标志物,以评估每种方法的组差异。最后,对TDC和ASD组的两种方法进行了一致性和回归分析。
■两种方法都显示每个参数的ROI具有显着差异。协方差分析(ANCOVA)显示TDC和ASD组表明两种方法之间存在显著关系(p<0.001)。TDC和ASD组的R2值分别为0.692和0.680,证明了CAT12和FS6之间的中度相关性。Bland-Altman图显示了两种方法之间的中度一致性。
■CAT12和FS6之间的适度相关性和一致性表明,虽然在结果中观察到一些一致性,CAT12不是FS6软件的优越替代品。需要进一步的研究来确定这种方法的潜在替代品。
UNASSIGNED: Autism Spectrum Disorder (ASD) encompasses a range of neurodevelopmental disorders, and early detection is crucial. This study aims to identify the Regions of Interest (ROIs) with significant differences between healthy controls and individuals with autism, as well as evaluate the agreement between FreeSurfer 6 (FS6) and Computational Anatomy Toolbox (CAT12) methods.
UNASSIGNED: Surface-based and volume-based features were extracted from FS software and CAT12 toolbox for Statistical Parametric Mapping (SPM) software to estimate ROI-wise biomarkers. These biomarkers were compared between 18 males Typically Developing Controls (TDCs) and 40 male subjects with ASD to assess group differences for each method. Finally, agreement and regression analyses were performed between the two methods for TDCs and ASD groups.
UNASSIGNED: Both methods revealed ROIs with significant differences for each parameter. The Analysis of Covariance (ANCOVA) showed that both TDCs and ASD groups indicated a significant relationship between the two methods (p<0.001). The R2 values for TDCs and ASD groups were 0.692 and 0.680, respectively, demonstrating a moderate correlation between CAT12 and FS6. Bland-Altman graphs showed a moderate level of agreement between the two methods.
UNASSIGNED: The moderate correlation and agreement between CAT12 and FS6 suggest that while some consistency is observed in the results, CAT12 is not a superior substitute for FS6 software. Further research is needed to identify a potential replacement for this method.