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基于人群的输入函数在20分钟动态全身F-FDG多参数PET成像中的临床验证

Clinical validation of a population-based input function for 20-min dynamic whole-body F-FDG multiparametric PET imaging.

作者信息

Dias André H, Smith Anne M, Shah Vijay, Pigg David, Gormsen Lars C, Munk Ole L

机构信息

Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Palle Juul-Jensens Boulevard 165, 8200, Aarhus N, Denmark.

Siemens Medical Solutions USA, Inc., Knoxville, TN, USA.

出版信息

EJNMMI Phys. 2022 Sep 8;9(1):60. doi: 10.1186/s40658-022-00490-y.

Abstract

PURPOSE

Contemporary PET/CT scanners can use 70-min dynamic whole-body (D-WB) PET to generate more quantitative information about FDG uptake than just the SUV by generating parametric images of FDG metabolic rate (MR). The analysis requires the late (50-70 min) D-WB tissue data combined with the full (0-70 min) arterial input function (AIF). Our aim was to assess whether the use of a scaled population-based input function (sPBIF) obviates the need for the early D-WB PET acquisition and allows for a clinically feasible 20-min D-WB PET examination.

METHODS

A PBIF was calculated based on AIFs from 20 patients that were D-WB PET scanned for 120 min with simultaneous arterial blood sampling. MR imaging using PBIF requires that the area under the curve (AUC) of the sPBIF is equal to the AUC of the individual patient's input function because sPBIF AUC bias translates into MR bias. Special patient characteristics could affect the shape of their AIF. Thus, we validated the use of PBIF in 171 patients that were divided into 12 subgroups according to the following characteristics: diabetes, cardiac ejection fraction, blood pressure, weight, eGFR and age. For each patient, the PBIF was scaled to the aorta image-derived input function (IDIF) to calculate a sPBIF, and the AUC bias was calculated.

RESULTS

We found excellent agreement between the AIF and IDIF at all times. For the clinical validation, the use of sPBIF led to an acceptable AUC bias of 1-5% in most subgroups except for patients with diabetes or patients with low eGFR, where the biases were marginally higher at 7%. Multiparametric MR images based on a short 20-min D-WB PET and sPBIF were visually indistinguishable from images produced by the full 70-min D-WB PET and individual IDIF.

CONCLUSIONS

A short 20-min D-WB PET examination using PBIF can be used for multiparametric imaging without compromising the image quality or precision of MR. The D-WB PET examination may therefore be used in clinical routine for a wide range of patients, potentially allowing for more precise quantification in e.g. treatment response imaging.

摘要

目的

当代PET/CT扫描仪可通过生成FDG代谢率(MR)的参数图像,利用70分钟动态全身(D-WB)PET来生成比单纯SUV更多关于FDG摄取的定量信息。该分析需要晚期(50 - 70分钟)D-WB组织数据与完整(0 - 70分钟)动脉输入函数(AIF)相结合。我们的目的是评估使用基于人群的缩放输入函数(sPBIF)是否可避免早期D-WB PET采集的必要性,并实现临床上可行的20分钟D-WB PET检查。

方法

基于20例患者的AIF计算PBIF,这些患者进行了120分钟的D-WB PET扫描并同时采集动脉血样。使用PBIF进行MR成像要求sPBIF的曲线下面积(AUC)等于个体患者输入函数的AUC,因为sPBIF AUC偏差会转化为MR偏差。特殊的患者特征可能会影响其AIF的形状。因此,我们在171例患者中验证了PBIF的使用,这些患者根据以下特征分为12个亚组:糖尿病、心脏射血分数、血压、体重、估算肾小球滤过率(eGFR)和年龄。对于每位患者,将PBIF缩放到主动脉图像衍生输入函数(IDIF)以计算sPBIF,并计算AUC偏差。

结果

我们发现AIF和IDIF在所有时间点都具有极好的一致性。对于临床验证,除糖尿病患者或eGFR低的患者外,大多数亚组中使用sPBIF导致的AUC偏差可接受,为1 - 5%,而这些患者的偏差略高,为7%。基于短20分钟D-WB PET和sPBIF的多参数MR图像在视觉上与完整70分钟D-WB PET和个体IDIF生成的图像无法区分。

结论

使用PBIF进行的短20分钟D-WB PET检查可用于多参数成像,而不会影响MR的图像质量或精度。因此,D-WB PET检查可用于广泛患者的临床常规检查,有可能在例如治疗反应成像中实现更精确的定量分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b43c/9458803/6fee114dd022/40658_2022_490_Fig1_HTML.jpg

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