Chen Zixiang, Cheng Zhaoping, Duan Yanhua, Zhang Qiyang, Zhang Na, Gu Fengyun, Wang Ying, Zhou Yun, Wang Haining, Liang Dong, Zheng Hairong, Hu Zhanli
Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen, China.
University of Chinese Academy of Sciences, Beijing, China.
Med Phys. 2023 Apr;50(4):2121-2134. doi: 10.1002/mp.15893. Epub 2022 Aug 23.
Total-body dynamic positron emission tomography (dPET) imaging using F-fluorodeoxyglucose ( F-FDG) has received widespread attention in clinical oncology. However, the conventionally required scan duration of approximately 1 h seriously limits the application and promotion of this imaging technique. In this study, we investigated the possibility and feasibility of shortening the total-body dynamic scan duration to 30 min post-injection (PI) with the help of a novel Patlak data processing algorithm for accurate K estimations of tumor lesions.
Total-body dPET images acquired by uEXPLORER (United Imaging Healthcare Inc.) using F-FDG of 15 patients with different tumor types were analyzed in this study. Dynamic images were reconstructed into 25 frames with a specific temporal dividing protocol for the scan data acquired 1 h PI. Patlak analysis-based K parametric imaging was conducted based on the imaging data corresponding to the first 30 min PI, during which a Patlak data processing method based on cubic Hermite interpolation was applied. The resultant K images acquired by 30 min dynamic PET data and the standard 1 h K images were compared in terms of visual imaging effect, region signal-to-noise ratio, and K estimation accuracy to evaluate the performance of the proposed K imaging method with a shortened scan duration.
With the help of Patlak data processing, acceptable K parametric images were obtained from dynamic PET data acquired with a scan duration of 30 min PI. Compared with K images obtained from unprocessed Patlak data, the resulting images from the proposed method performed better in terms of noise reduction. Moreover, Bland-Altman plot and Pearson correlation coefficient analysis showed that that 30 min K images obtained from the processed Patlak data had higher accuracy for tumor lesions.
Satisfactory K parametric images with high tumor accuracy can be acquired from dynamic imaging data corresponding to the first 30 min PI. Patlak data processing can help achieve higher K imaging quality and higher accuracy regarding tumor lesion K values. Clinically, it is possible to shorten the dynamic scan duration of F-FDG PET to 30 min to acquire an accurate tumor K and further effective tumor detection with uEXPLORER scanners.
使用氟代脱氧葡萄糖(¹⁸F-FDG)的全身动态正电子发射断层扫描(dPET)成像在临床肿瘤学中受到广泛关注。然而,传统上所需的约1小时扫描时间严重限制了这种成像技术的应用和推广。在本研究中,我们借助一种新颖的Patlak数据处理算法来准确估计肿瘤病变的K值,探讨将全身动态扫描时间缩短至注射后(PI)30分钟的可能性和可行性。
本研究分析了由联影医疗科技股份有限公司的uEXPLORER采集的15例不同肿瘤类型患者的¹⁸F-FDG全身dPET图像。动态图像按照特定的时间划分方案重建为25帧,用于1小时PI采集的扫描数据。基于注射后前30分钟的成像数据进行基于Patlak分析的K参数成像,在此期间应用基于三次埃尔米特插值的Patlak数据处理方法。将30分钟动态PET数据获取的K图像与标准1小时K图像在视觉成像效果、区域信噪比和K估计准确性方面进行比较,以评估所提出的缩短扫描时间的K成像方法的性能。
借助Patlak数据处理,从注射后30分钟扫描时间获取的动态PET数据中获得了可接受的K参数图像。与未处理的Patlak数据获得的K图像相比,所提方法得到的图像在降噪方面表现更好。此外,Bland-Altman图和Pearson相关系数分析表明,从处理后的Patlak数据获得的30分钟K图像对肿瘤病变具有更高的准确性。
从注射后前30分钟的动态成像数据中可以获得具有高肿瘤准确性的令人满意的K参数图像。Patlak数据处理有助于实现更高的K成像质量和关于肿瘤病变K值的更高准确性。临床上,使用uEXPLORER扫描仪将¹⁸F-FDG PET的动态扫描时间缩短至30分钟以获得准确的肿瘤K值并进一步进行有效的肿瘤检测是可行的。