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在Biograph Vision Quadra PET/CT上使用群体平均输入函数进行缩短时长的全身F-FDG PET Patlak成像。

Shortened duration whole body F-FDG PET Patlak imaging on the Biograph Vision Quadra PET/CT using a population-averaged input function.

作者信息

van Sluis Joyce, van Snick Johannes H, Brouwers Adrienne H, Noordzij Walter, Dierckx Rudi A J O, Borra Ronald J H, Lammertsma Adriaan A, Glaudemans Andor W J M, Slart Riemer H J A, Yaqub Maqsood, Tsoumpas Charalampos, Boellaard Ronald

机构信息

Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands.

Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Location VUMC, Amsterdam, The Netherlands.

出版信息

EJNMMI Phys. 2022 Oct 29;9(1):74. doi: 10.1186/s40658-022-00504-9.

DOI:10.1186/s40658-022-00504-9
PMID:36308568
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9618000/
Abstract

BACKGROUND

Excellent performance characteristics of the Vision Quadra PET/CT, e.g. a substantial increase in sensitivity, allow for precise measurements of image-derived input functions (IDIF) and tissue time activity curves. Previously we have proposed a method for a reduced 30 min (as opposed to 60 min) whole body F-FDG Patlak PET imaging procedure using a previously published population-averaged input function (PIF) scaled to IDIF values at 30-60 min post-injection (p.i.). The aim of the present study was to apply this method using the Vision Quadra PET/CT, including the use of a PIF to allow for shortened scan durations.

METHODS

Twelve patients with suspected lung malignancy were included and received a weight-based injection of F-FDG. Patients underwent a 65-min dynamic PET acquisition which were reconstructed using European Association of Nuclear Medicine Research Ltd. (EARL) standards 2 reconstruction settings. A volume of interest (VOI) was placed in the ascending aorta (AA) to obtain the IDIF. An external PIF was scaled to IDIF values at 30-60, 40-60, and 50-60 min p.i., respectively, and parametric F-FDG influx rate constant (K) images were generated using a t* of 30, 40 or 50 min, respectively. Herein, tumour lesions as well as healthy tissues, i.e. liver, muscle tissue, spleen and grey matter, were segmented.

RESULTS

Good agreement between the IDIF and corresponding PIF scaled to 30-60 min p.i. and 40-60 min p.i. was obtained with 7.38% deviation in K. Bland-Altman plots showed excellent agreement in K obtained using the PIF scaled to the IDIF at 30-60 min p.i. and at 40-60 min p.i. as all data points were within the limits of agreement (LOA) (- 0.004-0.002, bias: - 0.001); for the 50-60 min p.i. K, all except one data point fell in between the LOA (- 0.021-0.012, bias: - 0.005).

CONCLUSIONS

Parametric whole body F-FDG Patlak K images can be generated non-invasively on a Vision Quadra PET/CT system. In addition, using a scaled PIF allows for a substantial (factor 2 to 3) reduction in scan time without substantial loss of accuracy (7.38% bias) and precision (image quality and noise interference).

摘要

背景

Vision Quadra PET/CT具有出色的性能特征,例如灵敏度大幅提高,这使得能够精确测量图像衍生输入函数(IDIF)和组织时间-活性曲线。此前我们提出了一种缩短至30分钟(而非60分钟)的全身F-FDG Patlak PET成像程序,该程序使用先前发表的群体平均输入函数(PIF),并根据注射后(p.i.)30至60分钟时的IDIF值进行缩放。本研究的目的是在Vision Quadra PET/CT上应用此方法,包括使用PIF以缩短扫描时间。

方法

纳入12例疑似肺恶性肿瘤患者,根据体重注射F-FDG。患者接受65分钟的动态PET采集,并使用欧洲核医学研究协会(EARL)标准2重建设置进行重建。在升主动脉(AA)中放置感兴趣区(VOI)以获取IDIF。将外部PIF分别按注射后30至60分钟、40至60分钟和50至60分钟时的IDIF值进行缩放,并分别使用30分钟、40分钟或50分钟的t*生成参数化F-FDG流入率常数(K)图像。在此,对肿瘤病变以及健康组织,即肝脏、肌肉组织、脾脏和灰质进行分割。

结果

IDIF与按注射后30至60分钟和40至60分钟缩放的相应PIF之间具有良好的一致性,K的偏差为7.38%。Bland-Altman图显示,使用按注射后30至60分钟和40至60分钟的IDIF缩放的PIF获得的K具有出色的一致性,因为所有数据点均在一致性界限(LOA)(-0.004至0.002,偏差:-0.001)范围内;对于注射后50至60分钟的K,除一个数据点外,所有数据点均落在LOA(-0.021至0.012,偏差:-0.005)之间。

结论

可以在Vision Quadra PET/CT系统上无创生成参数化全身F-FDG Patlak K图像。此外,使用缩放后的PIF可使扫描时间大幅缩短(2至3倍),而不会导致准确性(7.38%偏差)和精度(图像质量和噪声干扰)的显著损失。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9721/9618000/40873853a6b8/40658_2022_504_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9721/9618000/55d0b83ff039/40658_2022_504_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9721/9618000/ada40f8ee928/40658_2022_504_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9721/9618000/f316b377ce41/40658_2022_504_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9721/9618000/63e14ca8e9d8/40658_2022_504_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9721/9618000/fc318ab4ca27/40658_2022_504_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9721/9618000/40873853a6b8/40658_2022_504_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9721/9618000/55d0b83ff039/40658_2022_504_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9721/9618000/ada40f8ee928/40658_2022_504_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9721/9618000/f316b377ce41/40658_2022_504_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9721/9618000/63e14ca8e9d8/40658_2022_504_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9721/9618000/fc318ab4ca27/40658_2022_504_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9721/9618000/40873853a6b8/40658_2022_504_Fig6_HTML.jpg

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