Park Ho Young, Suh Chong Hyun, Heo Hwon, Shim Woo Hyun, Kim Sang Joon
Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea.
Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Eur Radiol. 2022 Oct;32(10):6979-6991. doi: 10.1007/s00330-022-08838-9. Epub 2022 May 4.
To evaluate the diagnostic performance of hippocampal volumetry for Alzheimer's disease (AD) or mild cognitive impairment (MCI).
The MEDLINE and Embase databases were searched for articles that evaluated the diagnostic performance of hippocampal volumetry in differentiating AD or MCI from normal controls, published up to March 6, 2022. The quality of the articles was evaluated by the QUADAS-2 tool. A bivariate random-effects model was used to pool sensitivity, specificity, and area under the curve. Sensitivity analysis and meta-regression were conducted to explain study heterogeneity. The diagnostic performance of entorhinal cortex volumetry was also pooled.
Thirty-three articles (5157 patients) were included. The pooled sensitivity and specificity for AD were 82% (95% confidence interval [CI], 77-86%) and 87% (95% CI, 82-91%), whereas those for MCI were 60% (95% CI, 51-69%) and 75% (95% CI, 67-81%), respectively. No difference in the diagnostic performance was observed between automatic and manual segmentation (p = 0.11). MMSE scores, study design, and the reference standard being used were associated with study heterogeneity (p < 0.01). Subgroup analysis demonstrated a higher diagnostic performance of entorhinal cortex volumetry for both AD (pooled sensitivity: 88% vs. 79%, specificity: 92% vs. 89%, p = 0.07) and MCI (pooled sensitivity: 71% vs. 55%, specificity: 83% vs. 68%, p = 0.06).
Our meta-analysis demonstrated good diagnostic performance of hippocampal volumetry for AD or MCI. Entorhinal cortex volumetry might have superior diagnostic performance to hippocampal volumetry. However, due to a small number of studies, the diagnostic performance of entorhinal cortex volumetry is yet to be determined.
• The pooled sensitivity and specificity of hippocampal volumetry for Alzheimer's disease were 82% and 87%, whereas those for mild cognitive impairment were 60% and 75%, respectively. • No significant difference in the diagnostic performance was observed between automatic and manual segmentation. • Subgroup analysis demonstrated superior diagnostic performance of entorhinal cortex volumetry for AD (pooled sensitivity: 88%, specificity: 92%) and MCI (pooled sensitivity: 71%, specificity: 83%).
评估海马体积测量对阿尔茨海默病(AD)或轻度认知障碍(MCI)的诊断效能。
检索MEDLINE和Embase数据库,查找截至2022年3月6日发表的评估海马体积测量在区分AD或MCI与正常对照方面诊断效能的文章。采用QUADAS - 2工具评估文章质量。使用双变量随机效应模型汇总敏感性、特异性和曲线下面积。进行敏感性分析和meta回归以解释研究异质性。还汇总了内嗅皮质体积测量的诊断效能。
纳入33篇文章(5157例患者)。AD的汇总敏感性和特异性分别为82%(95%置信区间[CI],77 - 86%)和87%(95%CI,82 - 91%),而MCI的分别为60%(95%CI,51 - 69%)和75%(95%CI,67 - 81%)。自动分割和手动分割在诊断效能上未观察到差异(p = 0.11)。MMSE评分、研究设计和所使用的参考标准与研究异质性相关(p < 0.01)。亚组分析表明,内嗅皮质体积测量对AD(汇总敏感性:88%对79%,特异性:92%对89%,p = 0.07)和MCI(汇总敏感性:71%对⑤5%,特异性:83%对68%,p = 0.06)的诊断效能更高。
我们的meta分析表明海马体积测量对AD或MCI具有良好的诊断效能。内嗅皮质体积测量可能比海马体积测量具有更高的诊断效能。然而,由于研究数量较少,内嗅皮质体积测量的诊断效能尚未确定。
• 海马体积测量对阿尔茨海默病的汇总敏感性和特异性分别为82%和87%,而对轻度认知障碍分别为⑥0%和75%。 • 自动分割和手动分割在诊断效能上未观察到显著差异。 • 亚组分析表明内嗅皮质体积测量对AD(汇总敏感性:88%,特异性:92%)和MCI(汇总敏感性:71%,特异性:83%)具有更高的诊断效能。