组内相关
正电子发射断层摄影术
磁共振成像
淀粉样蛋白(真菌学)
生物标志物
核医学
神经影像学
医学
病理
放射科
生物
心理测量学
生物化学
精神科
临床心理学
作者
Jordi Pegueroles,Víctor Montal,Alexandre Bejanin,Eduard Vilaplana,Mateus Rozalem Aranha,Miguel Santos‐Santos,Daniel Alcolea,Ignasi Carrió,Valle Camacho,Rafael Blesa,Alberto Lleó,Juan Fortea
摘要
Abstract Introduction Positron emission tomography (PET) amyloid quantification methods require magnetic resonance imaging (MRI) for spatial registration and a priori reference region to scale the images. Furthermore, different tracers have distinct thresholds for positivity. We propose the AMYQ index, a new measure of amyloid burden, to overcome these limitations. Methods We selected 18F‐amyloid scans from ADNI and Australian Imaging, Biomarker & Lifestyle Flagship Study of Ageing (AIBL) with the corresponding T1‐MRI. A subset also had neuropathological data. PET images were normalized, and the AMYQ was calculated based on an adaptive template. We compared AMYQ with the Centiloid scale on clinical and neuropathological diagnostic performance. Results AMYQ was related with amyloid neuropathological burden and had excellent diagnostic performance to discriminate controls from patients with Alzheimer's disease (AD) (area under the curve [AUC] = 0.86). AMYQ had a high agreement with the Centiloid scale (intraclass correlation coefficient [ICC] = 0.88) and AUC between 0.94 and 0.99 to discriminate PET positivity when using different Centiloid cutoffs. Discussion AMYQ is a new MRI‐independent index for standardizing and quantifying amyloid load across tracers.
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