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优化 SUV 分析：一项关于临床前 FDG-PET/CT 的多中心研究强调了标准化的影响。

Optimizing SUV Analysis: A Multicenter Study on Preclinical FDG-PET/CT Highlights the Impact of Standardization.

机构信息

Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Vienna, Austria.

Medical Imaging Cluster (MIC), Medical University of Vienna, Vienna, Austria.

出版信息

Mol Imaging Biol. 2024 Aug;26(4):668-679. doi: 10.1007/s11307-024-01927-9. Epub 2024 Jun 21.

DOI:10.1007/s11307-024-01927-9
PMID:38907124
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11281957/
Abstract

PURPOSE

Preclinical imaging, with translational potential, lacks a standardized method for defining volumes of interest (VOIs), impacting data reproducibility. The aim of this study was to determine the interobserver variability of VOI sizes and standard uptake values (SUV and SUV) of different organs using the same [F]FDG-PET and PET/CT datasets analyzed by multiple observers. In addition, the effect of a standardized analysis approach was evaluated.

PROCEDURES

In total, 12 observers (4 beginners and 8 experts) analyzed identical preclinical [F]FDG-PET-only and PET/CT datasets according to their local default image analysis protocols for multiple organs. Furthermore, a standardized protocol was defined, including detailed information on the respective VOI size and position for multiple organs, and all observers reanalyzed the PET/CT datasets following this protocol.

RESULTS

Without standardization, significant differences in the SUV and SUV were found among the observers. Coregistering CT images with PET images improved the comparability to a limited extent. The introduction of a standardized protocol that details the VOI size and position for multiple organs reduced interobserver variability and enhanced comparability.

CONCLUSIONS

The protocol offered clear guidelines and was particularly beneficial for beginners, resulting in improved comparability of SUV and SUV values for various organs. The study suggested that incorporating an additional VOI template could further enhance the comparability of the findings in preclinical imaging analyses.

摘要

目的

具有转化潜力的临床前成像缺乏标准化的方法来定义感兴趣区域（VOI）的大小，这影响了数据的可重复性。本研究旨在确定使用相同的 [F]FDG-PET 和由多位观察者分析的 PET/CT 数据集，不同器官的 VOI 大小和标准摄取值（SUV 和 SUV）的观察者间变异性。此外，还评估了标准化分析方法的效果。

过程

总共 12 位观察者（4 位初学者和 8 位专家）根据他们当地的默认图像分析协议，对相同的临床前 [F]FDG-PET 仅和 PET/CT 数据集进行了分析，用于多个器官。此外，还定义了一个标准化的协议，包括有关多个器官各自 VOI 大小和位置的详细信息，所有观察者都按照该协议重新分析了 PET/CT 数据集。

结果

没有标准化时，观察者之间的 SUV 和 SUV 存在显著差异。将 CT 图像与 PET 图像配准在一定程度上提高了可比性。引入详细说明多个器官 VOI 大小和位置的标准化协议，减少了观察者间的变异性，提高了可比性。

结论

该协议提供了明确的指导方针，特别是对初学者有益，提高了不同器官的 SUV 和 SUV 值的可比性。该研究表明，纳入额外的 VOI 模板可以进一步提高临床前成像分析结果的可比性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f37/11281957/88a47606cdb2/11307_2024_1927_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f37/11281957/ca97c206738d/11307_2024_1927_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f37/11281957/76e5b680bc04/11307_2024_1927_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f37/11281957/d013c807232a/11307_2024_1927_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f37/11281957/cfb2371042d6/11307_2024_1927_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f37/11281957/42e9d43d2d80/11307_2024_1927_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f37/11281957/88a47606cdb2/11307_2024_1927_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f37/11281957/ca97c206738d/11307_2024_1927_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f37/11281957/76e5b680bc04/11307_2024_1927_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f37/11281957/d013c807232a/11307_2024_1927_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f37/11281957/cfb2371042d6/11307_2024_1927_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f37/11281957/42e9d43d2d80/11307_2024_1927_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f37/11281957/88a47606cdb2/11307_2024_1927_Fig6_HTML.jpg

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