Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
Neuroimage Clin. 2023;38:103447. doi: 10.1016/j.nicl.2023.103447. Epub 2023 Jun 1.
Cerebral amyloid angiopathy (CAA) is a cerebrovascular disease affecting the small arteries in the brain with hallmark depositions of amyloid-β in the vessel wall, leading to cognitive decline and intracerebral hemorrhage (ICH). An emerging MRI marker for CAA is cortical superficial siderosis (cSS) as it is strongly related to the risk of (recurrent) ICH. Current assessment of cSS is mainly done on T2*- weighted MRI using a qualitative score consisting of 5 categories of severity which is hampered by ceiling effects. Therefore, the need for a more quantitative measurement is warranted to better map disease progression for prognosis and future therapeutic trials. We propose a semi-automated method to quantify cSS burden on MRI and investigated it in 20 patients with CAA and cSS. The method showed excellent inter-observer (Pearson's 0.991, P < 0.001) and intra-observer reproducibility (ICC 0.995, P < 0.001). Furthermore, in the highest category of the multifocality scale a large spread in the quantitative score is observed, demonstrating the ceiling effect in the traditional score. We observed a quantitative increase in cSS volume in two of the 5 patients who had a 1 year follow up, while the traditional qualitative method failed to identify an increase because these patients were already in the highest category. The proposed method could therefore potentially be a better way of tracking progression. In conclusion, semi-automated segmenting and quantifying cSS is feasible and repeatable and may be used for further studies in CAA cohorts.
脑淀粉样血管病(Cerebral amyloid angiopathy,CAA)是一种影响大脑小动脉的脑血管疾病,其特征是血管壁中淀粉样β蛋白的沉积,导致认知能力下降和脑出血(Intracerebral hemorrhage,ICH)。皮质表面铁沉积(Cortical superficial siderosis,cSS)是 CAA 的一种新兴 MRI 标志物,因为它与(复发性)ICH 的风险密切相关。目前,cSS 的评估主要是在 T2*-加权 MRI 上进行,使用包括 5 个严重程度类别的定性评分,这受到天花板效应的限制。因此,需要更定量的测量方法来更好地绘制疾病进展情况,以便进行预后和未来的治疗试验。我们提出了一种半自动化方法来量化 MRI 上的 cSS 负担,并在 20 名患有 CAA 和 cSS 的患者中进行了研究。该方法显示出极好的观察者间(Pearson 相关系数 0.991,P<0.001)和观察者内可重复性(ICC 0.995,P<0.001)。此外,在多灶性量表的最高类别中,观察到定量评分的分布范围较大,表明传统评分存在天花板效应。我们观察到 5 名患者中有 2 名在 1 年随访时有 cSS 体积的定量增加,而传统的定性方法未能识别出增加,因为这些患者已经处于最高类别。因此,该方法可能是一种更好的跟踪进展的方法。总之,半自动分割和定量 cSS 是可行和可重复的,可用于 CAA 队列的进一步研究。