Brammen Lindsay, Palumbo Barbara, Lupattelli Graziana, Sinzinger Helmut
ISOTOPIX - Institute for Nuclear Medicine, Mariannengasse 30, A-1090, Vienna, Austria.
Hell J Nucl Med. 2014 Jan-Apr;17(1):62-3.
Bural et al (2013), retrospectively investigated 143 subjects who received whole body fluorine-18-fluorodeoxyglucose- positron emission tomography ((18)F-FDG-PET) imaging for the assessment of non-cardiovascular diseases. They reported an increase of (18)F-FDG-positive lesions in various aortic segments, which increased with age, and were more pronounced in subjects being aged below 50 years as compared to those above 50. Bural et al also found the highest segmental (18)F-FDG-uptake in the descending thoracic aorta, but not in the abdominal aorta, where the majority of the most severe atherosclerotic lesions essentially appear. In addition, they did not appreciate any significant gender difference. Despite the severe limitation that no correlation to vascular disease, risk factors, or any clinical parameter was available, this report again raises the question as to what positive (18)F-FDG imaging really reflects and whether it will ever reach the great expectations. Conventional radiotracers revealed an excellent experimental correlation, as well as morphology. Uptake ratios of symptomatic lesion vs. contralateral unaffected side were comparable between (111)In-platelets, (123)I-LDL and (18)FFDG. There was also a mass strategic correlation, but no individual prediction of events at all. Due to better statistics, image quality and solution PET imaging of atherosclerosis holds great promise. However, correlations between various tracers and vascular wall characteristics (and staining methodologies) in 1% cholesterol fed rabbits reveal that (18)F-FDG is not always the best tracer. Vascular foam cell content is reflected by (111)In-HIG > (125)I-oxLp(a) > (18)F-FDG > (125)I-LDL (Brammen L, Palumbo B, Lupattelli G et al. Unpublished data). A close correlation to Framingham risk score is for example not helpful, as this score has a low predictive value of only 0.6. The available clinical correlations between (18)F-FDG-uptake and arterial wall characteristics are poor. For example, Lederman RJ et al (2001) reported a correlation between (18)FFDG uptake with intima/media ratio, whereas no correlation was established in a paper by Ogawa M et al (2004). On the other hand, Laitinen I et al (2006) described a correlation between (18)F-FDG-uptake and calcifications, however, Tatsumi M et al (2003) did not observe this in his paper. The claim that inflammation and macrophage uptake of (18)F-FDG may be able to characterize and identify early atherosclerotic lesions has never been substantiated. Earlier studies reveal a negative correlation between (18)F-FDG uptake and smooth muscle cells, but a positive one with macrophages. The extent of uptake by different vascular wall cells (e.g. endothelial cells, smooth muscle cells, macrophages) in different atherosclerotic lesion types under various biochemical conditions has thus far not been extensively studied, neither in vitro nor in experimental or clinical work. Only one recent report does deal with this issue. Our preliminary studies show that the cellular uptake extremely varies depending on the local metabolic condition. For example, smooth muscle and endothelial cells, when exposed to pro-inflammatory cytokines, exhibit an extremely enhanced (18)F-FDG uptake while local hypoxia results in an opposite behavior. This is not observed in macrophages. Furthermore, when cultured cells were studied, uptake was severely dependent on the duration of incubation and the type of stimulation. This data indicates that (18)F-FDG uptake is enhanced in early foam cell formation, as well as in activated smooth muscle cells that eventually reach, under certain conditions, a comparable uptake. In addition, there is a lack of standardization and of prospective studies preventing reliable clinical interpretation. There seems to be only one consensus. There is no abnormal uptake of (18)F-FDG as well as of conventional tracers in the intact vascular wall and intra individual therapeutic intervention is truly reflected. The goal of non-invasive imaging in humans is to identify plaques at risk, an active lesion or the extent of the disease. As long as no prospective controlled data with other imaging modalities identifying vascular alterations defined per lesion and not per segment are available, it seems very unlikely that (18)F-FDG may significantly succeed in this particular indication.
布拉尔等人(2013年)回顾性研究了143名接受全身氟-18-氟脱氧葡萄糖正电子发射断层扫描((18)F-FDG-PET)成像以评估非心血管疾病的受试者。他们报告称,在不同的主动脉节段中,(18)F-FDG阳性病变有所增加,且随年龄增长而增加,与50岁以上的受试者相比,50岁以下的受试者中更为明显。布拉尔等人还发现,降主动脉节段的(18)F-FDG摄取最高,但腹主动脉中未出现这种情况,而大多数最严重的动脉粥样硬化病变主要出现在腹主动脉。此外,他们未发现任何显著的性别差异。尽管存在严重局限性,即无法获得与血管疾病、危险因素或任何临床参数的相关性,但该报告再次提出了一个问题,即阳性(18)F-FDG成像究竟反映了什么,以及它是否能达到人们的巨大期望。传统放射性示踪剂显示出良好的实验相关性以及形态学特征。有症状病变与对侧未受影响侧的摄取率在(111)In-血小板、(123)I-LDL和(18)FFDG之间具有可比性。也存在一种整体的相关性,但根本无法对事件进行个体预测。由于更好的统计学方法、图像质量以及动脉粥样硬化的PET成像解决方案具有很大的前景。然而,在1%胆固醇喂养的兔子中,各种示踪剂与血管壁特征(以及染色方法)之间的相关性表明,(18)F-FDG并不总是最佳示踪剂。血管泡沫细胞含量由(111)In-HIG > (125)I-oxLp(a) > (18)F-FDG > (125)I-LDL反映(布拉门L、帕尔umbo B、卢帕泰利G等人。未发表数据)。例如,与弗雷明汉风险评分的密切相关性并无帮助,因为该评分的预测价值很低仅为0.6。(18)F-FDG摄取与动脉壁特征之间现有的临床相关性很差。例如,莱德曼RJ等人(2001年)报告了(18)FFDG摄取与内膜/中膜比值之间的相关性,而小川M等人(2004年)的一篇论文中未建立这种相关性。另一方面,莱蒂宁I等人(2006年)描述了(18)F-FDG摄取与钙化之间的相关性,然而,辰巳M等人(2003年)在其论文中未观察到这一点。关于炎症和巨噬细胞对(所声称的(18)F-FDG摄取可能能够表征和识别早期动脉粥样硬化病变这一点从未得到证实。早期研究显示(18)F-FDG摄取与平滑肌细胞之间呈负相关,但与巨噬细胞呈正相关。到目前为止,在不同的生化条件下,不同动脉粥样硬化病变类型中不同血管壁细胞(如内皮细胞、平滑肌细胞、巨噬细胞)的摄取程度在体外、实验或临床研究中均未得到广泛研究。只有最近的一份报告涉及了这个问题。我们的初步研究表明,细胞摄取情况因局部代谢状况而异。例如,平滑肌细胞和内皮细胞在暴露于促炎细胞因子时,会表现出(18)F-FDG摄取极度增强,而局部缺氧则会导致相反的情况。巨噬细胞中未观察到这种情况。此外,在研究培养细胞时,摄取情况严重依赖于孵育时间和刺激类型。该数据表明,在早期泡沫细胞形成以及在某些条件下最终达到类似摄取的活化平滑肌细胞中,(18)F-FDG摄取会增强。此外,缺乏标准化和前瞻性研究,妨碍了可靠的临床解读。似乎只有一个共识。在完整的血管壁中,(18)F-FDG以及传统示踪剂均无异常摄取,且个体内治疗干预得到了真实反映。人类非侵入性成像的目标是识别有风险的斑块、活动性病变或疾病范围。只要没有与其他成像方式相关的前瞻性对照数据,这些数据能够识别按病变而非按节段定义的血管改变,那么(18)F-FDG在这一特定适应症中似乎极不可能取得显著成功。