Verger A, Doyen M, Campion J Y, Guedj Eric
Department of Nuclear Medicine and Nancyclotep Imaging Platform, Université de Lorraine, 54000, Nancy, France.
IADI, INSERM U1254, Université de Lorraine, 54000, Nancy, France.
EJNMMI Res. 2021 Mar 24;11(1):31. doi: 10.1186/s13550-021-00771-0.
The objective of the study is to define the most appropriate region for intensity normalization in brain FDG PET semi-quantitative analysis. The best option could be based on previous absolute quantification studies, which showed that the metabolic changes related to ageing affect the quasi-totality of brain regions in healthy subjects. Consequently, brain metabolic changes related to ageing were evaluated in two populations of healthy controls who underwent conventional (n = 56) or digital (n = 78) FDG PET/CT. The median correlation coefficients between age and the metabolism of each 120 atlas brain region were reported for 120 distinct intensity normalizations (according to the 120 regions). SPM linear regression analyses with age were performed on most significant normalizations (FWE, p < 0.05).
The cerebellum and pons were the two sole regions showing median coefficients of correlation with age less than - 0.5. With SPM, the intensity normalization by the pons provided at least 1.7- and 2.5-fold more significant cluster volumes than other normalizations for conventional and digital PET, respectively.
The pons is the most appropriate area for brain FDG PET intensity normalization for examining the metabolic changes through ageing.
本研究的目的是确定脑 FDG PET 半定量分析中最合适的强度归一化区域。最佳选择可能基于先前的绝对定量研究，这些研究表明与衰老相关的代谢变化会影响健康受试者几乎所有的脑区。因此，在两组接受传统（n = 56）或数字化（n = 78）FDG PET/CT 的健康对照人群中评估了与衰老相关的脑代谢变化。针对 120 种不同的强度归一化方法（根据 120 个区域），报告了年龄与 120 个图谱脑区中每个脑区代谢之间的中位相关系数。对最显著的归一化方法进行了年龄相关的 SPM 线性回归分析（FWE，p < 0.05）。
小脑和脑桥是仅有的两个与年龄的中位相关系数小于 -0.5 的区域。使用 SPM 时，对于传统 PET 和数字化 PET，分别采用脑桥进行强度归一化所得到的显著簇体积比其他归一化方法至少多 1.7 倍和 2.5 倍。
脑桥是通过衰老来检查代谢变化的脑 FDG PET 强度归一化的最合适区域。
