对II型GM1神经节苷脂病患者脑部核磁共振成像容积测量的定量可靠性评估

Frontiers in neuroimaging Pub Date : 2024-09-13 eCollection Date: 2024-01-01 DOI:10.3389/fnimg.2024.1410848
Christopher Zoppo, Josephine Kolstad, Jean Johnston, Precilla D'Souza, Anna Luisa Kühn, Zeynep Vardar, Ahmet Peker, Clifford Lindsay, Zubir S Rentiya, Robert King, Heather Gray-Edwards, Behroze Vachha, Maria T Acosta, Cynthia J Tifft, Mohammed Salman Shazeeb
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摘要

目的:GM1-神经节苷脂病(GM1)会导致广泛的神经退行性病变和萎缩,因此无法使用自动磁共振成像分割技术生成脑体积测量结果。我们为 II 型 GM1 患者的脑部 MRI 制定了标准化分割方案,然后评估了该方法在评分者之间和评分者内部的可靠性。容积数据可用作疾病负担和进展的生物标志物,标准化方法可支持对该疾病自然史的研究,而目前缺乏这方面的文献:本研究纳入了 22 位 II 型 GM1 患者的 25 张脑核磁共振图像,其中 8 位为晚期婴幼儿亚型,14 位为青少年亚型。由两个评分小组对以下结构进行逐片分割:全脑、脑室、小脑、扁桃体核、丘脑、胼胝体和尾状核。使用类内相关系数以及索伦森-狄斯系数和雅卡德系数评估了分割方法在评分者之间和评分者内部的可靠性:根据 Sorensen-Dice 和 Jaccard 系数,与晚发型患者相比,青少年患者的分割方法在评分者之间和评分者内部的可靠性明显更高(P < 0.01)。此外,两组评分者之间以及评分者内部的一致性也很好,所有 p 值均小于 0.05:本文描述的标准化分割方法在评分者之间和评分者内部都具有良好的可靠性,可为该类患者的神经形态学研究提供更高的准确性和可重复性,并有助于进一步扩展我们对该疾病自然史的了解。
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Quantitative reliability assessment of brain MRI volumetric measurements in type II GM1 gangliosidosis patients.

Purpose: GM1-gangliosidosis (GM1) leads to extensive neurodegenerative changes and atrophy that precludes the use of automated MRI segmentation techniques for generating brain volumetrics. We developed a standardized segmentation protocol for brain MRIs of patients with type II GM1 and then assessed the inter- and intra-rater reliability of this methodology. The volumetric data may be used as a biomarker of disease burden and progression, and standardized methodology may support research into the natural history of the disease which is currently lacking in the literature.

Approach: Twenty-five brain MRIs were included in this study from 22 type II GM1 patients of which 8 were late-infantile subtype and 14 were juvenile subtype. The following structures were segmented by two rating teams on a slice-by-slice basis: whole brain, ventricles, cerebellum, lentiform nucleus, thalamus, corpus callosum, and caudate nucleus. The inter- and intra-rater reliability of the segmentation method was assessed with an intraclass correlation coefficient as well as Sorensen-Dice and Jaccard coefficients.

Results: Based on the Sorensen-Dice and Jaccard coefficients, the inter- and intra-rater reliability of the segmentation method was significantly better for the juvenile patients compared to late-infantile (p < 0.01). In addition, the agreement between the two rater teams and within themselves can be considered good with all p-values < 0.05.

Conclusions: The standardized segmentation approach described here has good inter- and intra-rater reliability and may provide greater accuracy and reproducibility for neuromorphological studies in this group of patients and help to further expand our understanding of the natural history of this disease.

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