Department of Clinical Radiology, New Royal Infirmary of Edinburgh, Edinburgh, United Kingdom.
Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom.
PLoS One. 2018 Aug 7;13(8):e0201434. doi: 10.1371/journal.pone.0201434. eCollection 2018.
The relationship between magnetic resonance imaging (MRI) and clinical variables in patients suspected to have Creutzfeldt-Jakob Disease (CJD) is uncertain. We aimed to determine which MRI features of CJD (positive or negative), previously described in vivo, accurately identify CJD, are most reliably detected, vary with disease duration, and whether combined clinical and imaging features increase diagnostic accuracy for CJD. Prospective patients suspected of having CJD were referred to the National CJD Research and Surveillance Unit between 1994-2004; post-mortem, brains were sent for MRI and histopathology. Two neuroradiologists independently assessed MRI for atrophy, white matter hyperintensities, and caudate, lentiform and pulvinar signals, blind to histopathological diagnosis and clinical details. We examined differences in variable frequencies using Fisher's exact tests, and associations between variables and CJD in logistic regression models. Amongst 200 cases, 118 (59%) with a histopathological diagnosis of CJD and 82 (41%) with histopathological diagnoses other than CJD, a logistic regression model including age, disease duration at death, atrophy, white matter hyperintensities, bright or possibly bright caudate, and present pulvinar sign correctly classified 81% of cases as CJD versus not CJD. Pulvinar sign alone was not independently associated with an increased likelihood of histopathologically-confirmed CJD (of any subtype) or sporadic CJD after adjustment for age at death, disease duration, atrophy, white matter hyperintensities or caudate signal; despite the large sample, data sparsity precluded investigation of the association of pulvinar sign with variant CJD. No imaging feature varied significantly with disease duration. Of the positive CJD signs, neuroradiologists most frequently agreed on the presence or absence of atrophy (agreements in 169/200 cases [84.5%]). Combining patient age, and disease duration, with absence of atrophy and white matter hyperintensities and presence of increased caudate signal and pulvinar sign predicts CJD with good accuracy. Autopsy remains essential.
磁共振成像(MRI)与疑似克雅氏病(CJD)患者的临床变量之间的关系尚不确定。我们旨在确定先前在体内描述的 CJD 的哪些 MRI 特征(阳性或阴性)能准确识别 CJD,最可靠地检测到,是否随疾病持续时间而变化,以及是否联合临床和影像学特征可提高 CJD 的诊断准确性。1994 年至 2004 年间,疑似 CJD 的患者被转介到国家 CJD 研究和监测单位;死后,大脑被送去进行 MRI 和组织病理学检查。两名神经放射科医生独立评估 MRI 的萎缩、脑白质高信号和尾状核、豆状核和丘脑球信号,对组织病理学诊断和临床细节不知情。我们使用 Fisher 精确检验检查变量频率的差异,并使用逻辑回归模型检查变量与 CJD 之间的关联。在 200 例病例中,118 例(59%)有 CJD 的组织病理学诊断,82 例(41%)有组织病理学诊断但非 CJD,包括年龄、死亡时疾病持续时间、萎缩、脑白质高信号、明亮或可能明亮的尾状核和存在丘脑球信号的逻辑回归模型正确地将 81%的病例分类为 CJD 与非 CJD。单独的丘脑球信号在调整死亡时的年龄、疾病持续时间、萎缩、脑白质高信号或尾状核信号后,与组织病理学证实的 CJD(任何亚型)或散发性 CJD 的可能性增加无关;尽管样本量很大,但数据稀疏性排除了对丘脑球信号与变异型 CJD 关联的研究。没有影像学特征随疾病持续时间显著变化。在阳性 CJD 征象中,神经放射科医生最常就萎缩的存在与否达成一致(200 例中有 169 例[84.5%])。结合患者年龄和疾病持续时间,不伴有萎缩和脑白质高信号,伴有尾状核信号增加和丘脑球信号,可准确预测 CJD。尸检仍然是必不可少的。