Department of Neurology, Rouen University Hospital, 76031, Rouen Cedex, France.
UNIROUEN, Inserm U1245, Normandy Center for Genomic and Personalized Medicine, Normandie Univ, Rouen, France.
Clin Neuroradiol. 2023 Jun;33(2):455-465. doi: 10.1007/s00062-022-01230-6. Epub 2023 Jan 4.
Based on histopathology, Edinburgh diagnostic criteria were proposed to consider a nontraumatic intracerebral lobar hemorrhage (ICH) as related to cerebral amyloid angiopathy (CAA) using the initial computed tomography (CT) scan and the APOE genetic status. We aimed to externally validate the Edinburgh prediction model, excluding the APOE genotyping and based on the modified Boston criteria on the MRI for CAA diagnosis METHODS: We included patients admitted for spontaneous lobar ICH in the emergency department between 2016 and 2019 who underwent noncontrast CT scan and MRI. According to the MRI, patients were classified into the CAA group or into the non-CAA group in the case of other causes of ICH. Two neuroradiologists, blinded to the final retained diagnosis, rated each radiological feature on initial CT scan described in the Edinburgh study on initial CT scan RESULTS: A total of 102 patients were included, of whom 36 were classified in the CAA group, 46 in the non-CAA causes group and 20 of undetermined cause (excluded from the primary analysis). The Edinburgh prediction model, including finger-like projections and subarachnoid extension showed an area under receiver operating characteristic curves (AUC) of 0.760 (95% confidence interval, CI: 0.660-0.859) for the diagnosis of CAA. The AUC reached 0.808 (95% CI: 0.714-0.901) in a new prediction model integrating a third radiologic variable: the ICH cortical involvement.
Using the Boston MRI criteria as a final assessment, we provided a new external confirmation of the radiological Edinburgh CT criteria, which are directly applicable in acute settings of spontaneous lobar ICH and further proposed an original 3‑set model considering finger-like projections, subarachnoid extension, and cortical involvement that may achieve a high discrimination performance.
根据组织病理学,提出了爱丁堡诊断标准,以便在初始 CT 扫描和 APOE 遗传状态的基础上,通过初始 CT 扫描考虑非外伤性脑叶内出血(ICH)与脑淀粉样血管病(CAA)相关。我们旨在基于 MRI 的改良波士顿标准排除 APOE 基因分型,并对该模型进行外部验证,以用于 CAA 诊断。方法:我们纳入了 2016 年至 2019 年期间因自发性脑叶 ICH 而在急诊科就诊的患者,这些患者接受了非对比 CT 扫描和 MRI。根据 MRI,将患者分为 CAA 组或其他 ICH 病因的非 CAA 组。两名神经放射科医生在不知道最终保留诊断的情况下,对初始 CT 扫描上描述的爱丁堡研究的每个放射学特征进行了评分。结果:共纳入 102 例患者,其中 36 例患者被归类为 CAA 组,46 例患者被归类为非 CAA 病因组,20 例患者的病因不确定(排除在主要分析之外)。包括指状突起和蛛网膜下腔延伸在内的爱丁堡预测模型对 CAA 的诊断显示出 0.760(95%置信区间,CI:0.660-0.859)的受试者工作特征曲线(ROC)下面积(AUC)。在一个整合了第三个放射学变量的新预测模型中,即皮质内 ICH 受累,AUC 达到 0.808(95%CI:0.714-0.901)。结论:使用波士顿 MRI 标准作为最终评估,我们为爱丁堡 CT 放射学标准提供了新的外部验证,该标准可直接应用于自发性脑叶 ICH 的急性情况,并进一步提出了一种考虑指状突起、蛛网膜下腔延伸和皮质内受累的原始 3 集模型,该模型可能具有较高的区分性能。