Suppr超能文献

caliPER:一种使用 PET/MRI 输入函数进行无血参数 Patlak 映射的软件。

caliPER: A software for blood-free parametric Patlak mapping using PET/MRI input function.

机构信息

Lawson Health Research Institute, London, Ontario, Canada; Department of Medical Biophysics, Western University, London, Ontario, Canada.

Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, Canada; Siemens Healthineers, Oakville, Mississauga, Ontario, Canada.

出版信息

Neuroimage. 2022 Aug 1;256:119261. doi: 10.1016/j.neuroimage.2022.119261. Epub 2022 Apr 29.

Abstract

Routine clinical use of absolute PET quantification techniques is limited by the need for serial arterial blood sampling for input function and more importantly by the lack of automated pharmacokinetic analysis tools that can be readily implemented in clinic with minimal effort. PET/MRI provides the ability for absolute quantification of PET probes without the need for serial arterial blood sampling using image-derived input functions (IDIFs). Here we introduce caliPER, a modular and scalable software for simplified pharmacokinetic modeling of PET probes with irreversible uptake or binding based on PET/MR IDIFs and Patlak Plot analysis. caliPER generates regional values or parametric maps of net influx rate (K) using reconstructed dynamic PET images and anatomical MRI aligned to PET for IDIF vessel delineation. We evaluated the performance of caliPER for blood-free region-based and pixel-wise Patlak analyses of [F] FDG by comparing caliPER IDIF to serial arterial blood input functions and its application in imaging brain glucose hypometabolism in Frontotemporal dementia. IDIFs corrected for partial volume errors including spill-out and spill-in effects were similar to arterial blood input functions with a general bias of around 6-8%, even for arteries <5 mm. The K and cerebral metabolic rate of glucose estimated using caliPER IDIF were similar to estimates using arterial blood sampling (<2%) and within limits of whole brain values reported in literature. Overall, caliPER is a promising tool for irreversible PET tracer quantification and can simplify the ability to perform parametric analysis in clinical settings without the need for blood sampling.

摘要

常规临床应用绝对 PET 定量技术受到需要连续动脉采血获取输入函数以及缺乏能够在临床中轻松实现的自动化药代动力学分析工具的限制。PET/MRI 提供了无需连续动脉采血即可对 PET 探针进行绝对定量的能力,它利用图像衍生的输入函数(IDIF)。在此,我们介绍了 caliPER,这是一种用于简化基于 PET/MR IDIF 和 Patlak 图分析的具有不可逆转摄取或结合的 PET 探针药代动力学模型的模块化和可扩展软件。caliPER 使用重建的动态 PET 图像和与 PET 对齐的解剖学 MRI 生成净流入率(K)的区域值或参数图,用于 IDIF 血管描绘。我们通过将 caliPER IDIF 与连续动脉输入函数进行比较,并将其应用于额颞叶痴呆的脑葡萄糖代谢低下成像,评估了 caliPER 在无血区和像素级[F]FDG 的 Patlak 分析中的性能。对包括溢出和溢出效应在内的部分容积误差进行了校正的 IDIF 与动脉血输入函数相似,一般存在 6-8%的偏差,即使是小于 5 毫米的动脉也存在这种偏差。使用 caliPER IDIF 估计的 K 和脑葡萄糖代谢率与使用动脉采血(<2%)的估计值相似,并且在文献报道的全脑值范围内。总的来说,caliPER 是一种用于不可逆 PET 示踪剂定量的有前途的工具,它可以简化在临床环境中进行参数分析的能力,而无需采血。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验