Department of Nuclear Medicine & PET Research, VU University Medical Centre, Amsterdam, The Netherlands.
J Neurol Neurosurg Psychiatry. 2010 Aug;81(8):882-4. doi: 10.1136/jnnp.2009.194779. Epub 2010 Jun 11.
To evaluate visual assessment of [(11)C]PIB and [(18)F]FDDNP PET images as potential supportive diagnostic markers for Alzheimer's disease (AD).
Twenty-one AD patients and 20 controls were included. Parametric [(11)C]PIB and [(18)F]FDDNP global binding potential (BP(ND)) images were visually rated as 'AD' or 'normal.' Data were compared with ratings of [(18)F]FDG PET images and MRI-derived medial temporal lobe atrophy (MTA) scores. Inter-rater agreement and agreement with clinical diagnosis were assessed for all imaging modalities. In addition, cut-off values for quantitative global [(11)C]PIB and [(18)F]FDDNP BP(ND) were determined. Visual ratings were compared with dichotomised quantitative values.
Agreement between readers was excellent for [(11)C]PIB, [(18)F]FDDNP and MTA (Cohen kappa kappa> or =0.85) and moderate for [(18)F]FDG (kappa=0.56). The highest sensitivity was found for [(11)C]PIB and [(18)F]FDG (both 1.0). The highest specificity was found for MTA (0.90) and [(11)C]PIB (0.85). [(18)F]FDDNP had the lowest sensitivity and specificity (0.67 and 0.53, respectively). The cut-off for quantitative [(11)C]PIB BP(ND) was 0.54 (sensitivity and specificity both 0.95) and for [(18)F]FDDNP BP(ND) 0.07 (sensitivity 0.80, specificity 0.73). Agreement between quantitative analyses and visual ratings was excellent for [(11)C]PIB (kappa=0.85) and fair for [(18)F]FDDNP (kappa=0.40).
Visual assessment of [(11)C]PIB images was straightforward and accurate, showing promise as a supportive diagnostic marker for AD. Moreover, [(11)C]PIB showed the best combination of sensitivity and specificity. Visual assessment of [(18)F]FDDNP images was insufficient. The quantitative analysis of [(18)F]FDDNP data showed a considerably higher diagnostic value than the visual analysis.
评估[(11)C]PIB 和 [(18)F]FDDNP PET 图像的视觉评估作为阿尔茨海默病(AD)的潜在辅助诊断标志物。
纳入 21 例 AD 患者和 20 例对照者。对参数[(11)C]PIB 和 [(18)F]FDDNP 全局结合潜能(BP(ND))图像进行“AD”或“正常”的视觉评分。将数据与[(18)F]FDG PET 图像和 MRI 衍生的内侧颞叶萎缩(MTA)评分进行比较。评估所有成像方式的观察者间一致性和与临床诊断的一致性。此外,还确定了定量全局[(11)C]PIB 和 [(18)F]FDDNP BP(ND)的截断值。比较了视觉评分与二分定量值。
读者之间对[(11)C]PIB、[(18)F]FDDNP 和 MTA 的一致性极好(Cohen kappa kappa>0.85),对[(18)F]FDG 的一致性中等(kappa=0.56)。[(11)C]PIB 和 [(18)F]FDG 的敏感性最高(均为 1.0)。MTA 和 [(11)C]PIB 的特异性最高(均为 0.90)。[(18)F]FDDNP 的敏感性和特异性最低(分别为 0.67 和 0.53)。定量[(11)C]PIB BP(ND)的截断值为 0.54(敏感性和特异性均为 0.95),[(18)F]FDDNP BP(ND)的截断值为 0.07(敏感性为 0.80,特异性为 0.73)。定量分析与视觉评分之间的一致性极好[(11)C]PIB(kappa=0.85),对[(18)F]FDDNP 为适度(kappa=0.40)。
[(11)C]PIB 图像的视觉评估简单且准确,有望成为 AD 的辅助诊断标志物。此外,[(11)C]PIB 显示出最佳的敏感性和特异性组合。[(18)F]FDDNP 图像的视觉评估不足。[(18)F]FDDNP 数据的定量分析显示出比视觉分析更高的诊断价值。