Normal values for (18)F-FDG uptake in organs and tissues measured by dynamic whole body multiparametric FDG PET in 126 patients.
Normal values for (18)F-FDG uptake in organs and tissues measured by dynamic whole body multiparametric FDG PET in 126 patients.
复制标题
DOI：
10.1186/s13550-022-00884-0
复制
发表时间：
2022-03-07
期刊：
影响因子：
3.2
通讯作者：
Gormsen LC
中科院分区：
文献类型：
--
作者：
Dias AH;Hansen AK;Munk OL;Gormsen LC
动态全身 (D-WB) FDG PET/CT 是一项最近开发的技术，可直接重建 FDG 摄取代谢率 (MRFDG) 和“游离”FDG (DVFDG) 的多参数图像。多参数图像的外观与静态 PET 成像获得的传统 SUV 图像明显不同，并且缺乏常用参考组织和器官中 MRFDG 和 DVFDG 的正常值。因此，本研究的目的是：（1）提供正常 MRFDG 和 DVFDG 值以及器官和组织变异范围的概述； (2) 分析器官时间-活动曲线（TAC）； (3) 验证直接重建的 MRFDG 组织值与手动计算的 Ki（和 MRFDG）值的准确性； (4) 探索人口统计、血糖水平和 MRFDG 值之间的相关性。回顾性分析了 126 名前瞻性招募患者（100 名无糖尿病患者和 26 名患有糖尿病）的 D-WB 数据。参与者在西门子 Biograph Vision 600 PET/CT 扫描仪上使用 70 分钟多参数 PET 采集协议进行扫描。手动勾画 13 个区域（骨、脑灰白质、结肠、心脏、肾、肝、肺、背部和大腿骨骼肌、胰腺、脾和胃）以及代表性病理结果，并提取静态 PET（SUV）、D-WB PET（Ki、MRFDG 和 DVFDG）和个体 TAC 值。将多参数值与基于 TAC 的手动 Ki 和 MRFDG 计算进行比较，并探讨与血糖、年龄、体重、BMI 和注射示踪剂剂量的相关性。组织和器官 MRFDG 值几乎没有变化，与相应的 SUV 变化相当。所有区域 TAC 均符合之前发布的 FDG 动力学，并且多参数指标与基于 TAC 的手动计算具有良好的相关性（r2 = 0.97，p < 0.0001）。在已知不是底物驱动的组织中，葡萄糖水平和 MRFDG 之间没有观察到相关性，而具有底物驱动葡萄糖摄取的组织中，葡萄糖水平和 MRFDG 值显着相关。多参数 D-WB PET 扫描协议提供正常的 MRFDG 值，受试者间差异很小，并且与基于 TAC 的手动计算和文献值一致。因此，该技术有利于准确的临床报告和更简单地获取全身组织葡萄糖代谢的定量估计。在线版本包含可在 10.1186/s13550-022-00884-0 获取的补充材料。
Dynamic whole-body (D-WB) FDG PET/CT is a recently developed technique that allows direct reconstruction of multiparametric images of metabolic rate of FDG uptake (MRFDG) and “free” FDG (DVFDG). Multiparametric images have a markedly different appearance than the conventional SUV images obtained by static PET imaging, and normal values of MRFDG and DVFDG in frequently used reference tissues and organs are lacking. The aim of this study was therefore to: (1) provide an overview of normal MRFDG and DVFDG values and range of variation in organs and tissues; (2) analyse organ time-activity curves (TACs); (3) validate the accuracy of directly reconstructed MRFDG tissue values versus manually calculated Ki (and MRFDG) values; and (4) explore correlations between demographics, blood glucose levels and MRFDG values. D-WB data from 126 prospectively recruited patients (100 without diabetes and 26 with diabetes) were retrospectively analysed. Participants were scanned using a 70-min multiparametric PET acquisition protocol on a Siemens Biograph Vision 600 PET/CT scanner. 13 regions (bone, brain grey and white matter, colon, heart, kidney, liver, lung, skeletal muscle of the back and thigh, pancreas, spleen, and stomach) as well as representative pathological findings were manually delineated, and values of static PET (SUV), D-WB PET (Ki, MRFDG and DVFDG) and individual TACs were extracted. Multiparametric values were compared with manual TAC-based calculations of Ki and MRFDG, and correlations with blood glucose, age, weight, BMI, and injected tracer dose were explored. Tissue and organ MRFDG values showed little variation, comparable to corresponding SUV variation. All regional TACs were in line with previously published FDG kinetics, and the multiparametric metrics correlated well with manual TAC-based calculations (r2 = 0.97, p < 0.0001). No correlations were observed between glucose levels and MRFDG in tissues known not to be substrate driven, while tissues with substrate driven glucose uptake had significantly correlated glucose levels and MRFDG values. The multiparametric D-WB PET scan protocol provides normal MRFDG values with little inter-subject variation and in agreement with manual TAC-based calculations and literature values. The technique therefore facilitates both accurate clinical reports and simpler acquisition of quantitative estimates of whole-body tissue glucose metabolism. The online version contains supplementary material available at 10.1186/s13550-022-00884-0.
登录
查看更多内容
DOI：
10.2967/jnumed.115.162289
发表时间：
2016-02
期刊：
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
影响因子：
--
作者：
Kurland BF;Muzi M;Peterson LM;Doot RK;Wangerin KA;Mankoff DA;Linden HM;Kinahan PE
通讯作者：
Kinahan PE
DOI：
10.1007/s00259-021-05536-4
发表时间：
2022-01
影响因子：
9.1
作者：
Nadig V;Herrmann K;Mottaghy FM;Schulz V
通讯作者：
Schulz V
影响因子：
1.6
作者：
Hwang JP;Moon JH;Kim HK;Lee MH;Lim CH;Park SB;Yoon JK;Park JM
通讯作者：
Park JM
影响因子：
3.1
作者：
Huang, SC;Wu, HM;Barrio, JR
通讯作者：
Barrio, JR
DOI：
10.1007/s00259-004-1670-2
发表时间：
2005-01-01
影响因子：
9.1
作者：
de Groot, M;Meeuwis, APW;Oyen, WJG
通讯作者：
Oyen, WJG