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

IF 3 4区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Molecular Imaging and Biology Pub Date : 2024-08-01 Epub Date: 2024-06-21 DOI:10.1007/s11307-024-01927-9

Claudia Kuntner, Carlos Alcaide, Dimitris Anestis, Jens P Bankstahl, Herve Boutin, David Brasse, Filipe Elvas, Duncan Forster, Maritina G Rouchota, Adriana Tavares, Mari Teuter, Thomas Wanek, Lena Zachhuber, Julia G Mannheim

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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_mean and SUV_max) of different organs using the same [¹⁸F]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 [¹⁸F]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_mean and SUV_max 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_mean and SUV_max 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.

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优化 SUV 分析：临床前 FDG-PET/CT 多中心研究凸显标准化的影响

目的：具有转化潜力的临床前成像缺乏定义感兴趣容积（VOI）的标准化方法，影响了数据的可重复性。本研究的目的是使用由多名观察者分析的相同[18F]FDG-PET 和 PET/CT 数据集，确定不同器官的 VOI 大小和标准摄取值（SUVmean 和 SUVmax）的观察者间变异性。此外，还评估了标准化分析方法的效果：总共有 12 名观察者（4 名初学者和 8 名专家）根据他们当地默认的多个器官图像分析规程分析了相同的临床前 [18F]FDG-PET 和 PET/CT 数据集。此外，还定义了一个标准化方案，包括多个器官各自 VOI 大小和位置的详细信息，所有观察者都按照该方案重新分析 PET/CT 数据集：结果：在没有标准化的情况下，观察者之间的 SUVmean 和 SUVmax 存在明显差异。将 CT 图像与 PET 图像进行核对在一定程度上提高了可比性。标准化方案详细说明了多个器官的 VOI 大小和位置，减少了观察者之间的差异，提高了可比性：该方案提供了明确的指导原则，对初学者尤其有益，从而提高了各器官 SUVmean 值和 SUVmax 值的可比性。研究表明，在临床前成像分析中加入额外的 VOI 模板可进一步提高结果的可比性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Molecular Imaging and Biology 医学-核医学

CiteScore

6.90

自引率

3.20%

发文量

审稿时长

3 months

期刊介绍： Molecular Imaging and Biology (MIB) invites original contributions (research articles, review articles, commentaries, etc.) on the utilization of molecular imaging (i.e., nuclear imaging, optical imaging, autoradiography and pathology, MRI, MPI, ultrasound imaging, radiomics/genomics etc.) to investigate questions related to biology and health. The objective of MIB is to provide a forum to the discovery of molecular mechanisms of disease through the use of imaging techniques. We aim to investigate the biological nature of disease in patients and establish new molecular imaging diagnostic and therapy procedures. Some areas that are covered are: Preclinical and clinical imaging of macromolecular targets (e.g., genes, receptors, enzymes) involved in significant biological processes. The design, characterization, and study of new molecular imaging probes and contrast agents for the functional interrogation of macromolecular targets. Development and evaluation of imaging systems including instrumentation, image reconstruction algorithms, image analysis, and display. Development of molecular assay approaches leading to quantification of the biological information obtained in molecular imaging. Study of in vivo animal models of disease for the development of new molecular diagnostics and therapeutics. Extension of in vitro and in vivo discoveries using disease models, into well designed clinical research investigations. Clinical molecular imaging involving clinical investigations, clinical trials and medical management or cost-effectiveness studies.