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基于uKinetics的肿瘤学Patlak参数成像中的框架协议优化

Framing protocol optimization in oncological Patlak parametric imaging with uKinetics.

作者信息

Ye Qing, Zeng Hao, Zhao Yizhang, Zhang Weiguang, Dong Yun, Fan Wei, Lu Yihuan

机构信息

Shanghai United Imaging Healthcare Co., Ltd, Shanghai, China.

Sun Yat-Sen University Cancer Center, Guangzhou, China.

出版信息

EJNMMI Phys. 2023 Sep 12;10(1):54. doi: 10.1186/s40658-023-00577-0.

Abstract

PURPOSE

Total-body PET imaging with ultra-high sensitivity makes high-temporal-resolution framing protocols possible for the first time, which allows to capture rapid tracer dynamic changes. However, whether protocols with higher number of temporal frames can justify the efficacy with substantially added computation burden for clinical application remains unclear. We have developed a kinetic modeling software package (uKinetics) with the advantage of practical, fast, and automatic workflow for dynamic total-body studies. The aim of this work is to verify the uKinetics with PMOD and to perform framing protocol optimization for the oncological Patlak parametric imaging.

METHODS

Six different protocols with 100, 61, 48, 29, 19 and 12 temporal frames were applied to analyze 60-min dynamic F-FDG PET scans of 10 patients, respectively. Voxel-based Patlak analysis coupled with automatically extracted image-derived input function was applied to generate parametric images. Normal tissues and lesions were segmented manually or automatically to perform correlation analysis and Bland-Altman plots. Different protocols were compared with the protocol of 100 frames as reference.

RESULTS

Minor differences were found between uKinetics and PMOD in the Patlak parametric imaging. Compared with the protocol with 100 frames, the relative difference of the input function and quantitative kinetic parameters remained low for protocols with at least 29 frames, but increased for the protocols with 19 and 12 frames. Significant difference of lesion K values was found between the protocols with 100 frames and 12 frames.

CONCLUSION

uKinetics was proved providing equivalent oncological Patlak parametric imaging comparing to PMOD. Minor differences were found between protocols with 100 and 29 frames, which indicated that 29-frame protocol is sufficient and efficient for the oncological F-FDG Patlak applications, and the protocols with more frames are not needed. The protocol with 19 frames yielded acceptable results, while that with 12 frames is not recommended.

摘要

目的

超高灵敏度的全身PET成像首次使高时间分辨率的帧采集协议成为可能,这使得能够捕捉示踪剂的快速动态变化。然而,具有更多时间帧数的协议是否能在临床应用中以大幅增加的计算负担来证明其有效性仍不清楚。我们开发了一个动力学建模软件包(uKinetics),其优势在于为动态全身研究提供实用、快速且自动的工作流程。这项工作的目的是用PMOD验证uKinetics,并对肿瘤学的Patlak参数成像进行帧采集协议优化。

方法

分别应用六种不同的协议,时间帧数分别为100、61、48、29、19和12帧,对10例患者的60分钟动态F-FDG PET扫描进行分析。基于体素的Patlak分析结合自动提取的图像衍生输入函数,用于生成参数图像。手动或自动分割正常组织和病变,以进行相关性分析和Bland-Altman图分析。将不同协议与100帧的协议作为参考进行比较。

结果

在Patlak参数成像中,uKinetics和PMOD之间发现了微小差异。与100帧的协议相比,至少29帧的协议在输入函数和定量动力学参数方面的相对差异仍然较低,但19帧和12帧的协议差异增大。在100帧和12帧的协议之间发现病变K值存在显著差异。

结论

与PMOD相比,uKinetics被证明可提供等效的肿瘤学Patlak参数成像。在100帧和29帧的协议之间发现了微小差异,这表明29帧协议对于肿瘤学F-FDG Patlak应用来说是足够且高效的,不需要更多帧数的协议。19帧的协议产生了可接受的结果,而12帧的协议不建议使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58ec/10497476/b727adc0d416/40658_2023_577_Fig1_HTML.jpg

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