Quantification in respiratory-gated PET acquisition: can data-driven methods replace device-based systems?-a comparative and retrospective study.

IF 3.1 3区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

EJNMMI Research Pub Date : 2025-02-14 DOI:10.1186/s13550-025-01195-w

Laurentiu Agrigoroaie, Nadege Anizan, Camilo Garcia, Corinne Balleyguier, Théophraste Henry

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引用次数: 0

Abstract

Background: Device-based respiratory gating improves diagnostic and quantification accuracy in positron emission tomography (PET), but requires additional time to setup the device and the failure rate can be significant. Our aim was to internally validate the quantification performance of data-driven respiratory-gated PET imaging against the gold standard, the device-based method, in clinical oncological practice. We retrospectively analysed [18F]FDG PET/CT scans of patients from our centre with at least one measurable [18F]FDG-avid malignant lesion. All PET/CT acquisitions were performed on a Siemens Biograph 64 Vision 600 system with respiratory gating by belt and also by adding the data-driven gating with OncoFreeze AI™. We recorded the SUVmax and SUVpeak for up to a maximum of 5 lesions per patient. We computed the mean absolute bias between the two gating methods and the 95% confidence intervals (CI) at the cohort level and in subgroups.

Results: Of the 692 consecutive patients screened for inclusion, 196 patients were analysed, from whom 536 lesions were measured. The mean absolute biases in the SUVmax and SUVpeak of lesions in the whole cohort were 3.8% (CI 3.4-4.2) and 2.1% (CI 1.9-2.4), respectively. At patient-level, 21% of them had at least one lesion with a SUVmax bias above 10%, while for SUVpeak this proportion was 5%. In the subgroup analysis by PERCIST criteria, only 2% of patients had significant bias in the SUVmax, and 0.5% in SUVpeak. There was no clinically significant effect of lesion size or anatomical site on SUV measurements between the two respiratory gating methods.

Conclusion: Quantitative comparison of data-driven and device-based respiratory-gated PET scans revealed negligible differences, proving that data-driven respiratory gating is a reliable and accurate alternative to the device-based gating method in routine [18F]FDG-PET/CT oncological evaluation.

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呼吸门控PET采集的量化：数据驱动的方法能否取代基于设备的系统？-比较和回顾性研究。

背景：基于设备的呼吸门控提高了正电子发射断层扫描（PET）的诊断和定量准确性，但需要额外的时间来设置设备，故障率可能很高。我们的目的是内部验证数据驱动的呼吸门控PET成像在临床肿瘤学实践中的量化性能，而不是金标准，即基于设备的方法。我们回顾性分析了我们中心至少有一个可测量的FDG恶性病变的患者的[18F]FDG PET/CT扫描。所有PET/CT采集均在西门子Biograph 64 Vision 600系统上进行，该系统采用带式呼吸门控，并添加了OncoFreeze AI™的数据驱动门控。我们记录了每个患者最多5个病变的SUVmax和SUVpeak。我们在队列水平和亚组中计算了两种门控方法之间的平均绝对偏差和95%置信区间（CI）。结果：在连续筛选纳入的692例患者中，分析了196例患者，从中测量了536个病变。整个队列中病变SUVmax和SUVpeak的平均绝对偏倚分别为3.8% （CI 3.4-4.2）和2.1% （CI 1.9-2.4）。在患者水平上，21%的患者至少有一个病变的SUVmax偏倚超过10%，而对于SUVpeak，这一比例为5%。在按PERCIST标准进行的亚组分析中，只有2%的患者在SUVmax中有显著偏倚，在SUVpeak中有0.5%。两种呼吸门控方法之间的病变大小和解剖位置对SUV测量没有临床显著影响。结论：数据驱动的呼吸门控与基于设备的呼吸门控PET扫描的定量比较显示差异可以忽略，证明数据驱动的呼吸门控在常规FDG-PET/CT肿瘤评估中是一种可靠而准确的替代基于设备的门控方法[18F]。

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

EJNMMI Research RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING&nb-

CiteScore

5.90

自引率

3.10%

发文量

审稿时长

13 weeks

期刊介绍： EJNMMI Research publishes new basic, translational and clinical research in the field of nuclear medicine and molecular imaging. Regular features include original research articles, rapid communication of preliminary data on innovative research, interesting case reports, editorials, and letters to the editor. Educational articles on basic sciences, fundamental aspects and controversy related to pre-clinical and clinical research or ethical aspects of research are also welcome. Timely reviews provide updates on current applications, issues in imaging research and translational aspects of nuclear medicine and molecular imaging technologies. The main emphasis is placed on the development of targeted imaging with radiopharmaceuticals within the broader context of molecular probes to enhance understanding and characterisation of the complex biological processes underlying disease and to develop, test and guide new treatment modalities, including radionuclide therapy.