Song Yufei, Meng Xiangxi, Cao Zhen, Zhao Wei, Zhang Yan, Guo Rui, Zhou Xin, Yang Zhi, Li Nan
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital and Institute, Beijing, China.
Siemens Healthineers Ltd., Shanghai, China.
EJNMMI Phys. 2023 Mar 15;10(1):19. doi: 10.1186/s40658-023-00540-z.
EQ.PET is a software package that overcomes the reconstruction-dependent variation of standard uptake values (SUV). In this study, we validated the use of EQ.PET for harmonizing SUVs between different positron emission tomography/computed tomography (PET/CT) systems and reconstruction algorithms.
In this retrospective study, 49 patients with various cancers were scanned on a Biograph mCT (mCT) or Gemini TF 16 (Gemini) after [F]FDG injections. Three groups of patient data were collected: Group 1, patients scanned on mCT or Gemini with data reconstructed using two parameters; Group 2, patients scanned twice on different PET scanners (interval between two scans, 68.9 ± 41.4 days); and Group 3, patients scanned twice using mCT with data reconstructed using different algorithms (interval between two scans, 109.5 ± 60.6 days). The SUVs of the lesions and background were measured, and the tumor-to-background ratios (TBRs) were calculated. In addition, the consistency between the two reconstruction algorithms and confounding factors were evaluated.
In Group 1, the consistency of SUV and TBR between different reconstruction algorithms improved when the EQ.PET filter was applied. In Group 2, by comparing ΔSUV, ΔSUV%, ΔTBR, and ΔTBR% with and without the EQ.PET, the results showed significant differences (P < 0.05). In Group 3, Bland-Altman analysis of ΔSUV with EQ.PET showed an improved consistency relative to that without EQ.PET.
EQ.PET is an efficient tool to harmonize SUVs and TBRs across different reconstruction algorithms. Patients could benefit from the harmonized SUV, ΔSUV, and ΔSUV% for therapy responses and follow-up evaluations.
EQ.PET是一个克服了标准摄取值(SUV)重建依赖性变化的软件包。在本研究中,我们验证了EQ.PET在不同正电子发射断层扫描/计算机断层扫描(PET/CT)系统和重建算法之间协调SUV的用途。
在这项回顾性研究中,49例患有各种癌症的患者在注射[F]FDG后在Biograph mCT(mCT)或Gemini TF 16(Gemini)上进行扫描。收集了三组患者数据:第1组,在mCT或Gemini上扫描的患者,数据使用两个参数重建;第2组,在不同PET扫描仪上扫描两次的患者(两次扫描间隔68.9±41.4天);第3组,使用mCT扫描两次的患者,数据使用不同算法重建(两次扫描间隔109.5±60.6天)。测量病变和背景的SUV,并计算肿瘤与背景比值(TBR)。此外,评估了两种重建算法之间的一致性和混杂因素。
在第1组中,应用EQ.PET滤波器后,不同重建算法之间SUV和TBR的一致性得到改善。在第2组中,通过比较使用和不使用EQ.PET时的ΔSUV、ΔSUV%、ΔTBR和ΔTBR%,结果显示出显著差异(P<0.05)。在第3组中,对使用EQ.PET的ΔSUV进行Bland-Altman分析显示,相对于不使用EQ.PET,一致性有所提高。
EQ.PET是一种在不同重建算法之间协调SUV和TBR的有效工具。患者可从协调后的SUV、ΔSUV和ΔSUV%中受益,用于治疗反应和随访评估。