超低剂量CT对PET图像量化及视觉评价的影响

Samaneh Mostafapour, Joyce van Sluis, Johannes H. van Snick, Walter Noordzij, Gilles N. Stormezand, Marcel J.W. Greuter, Rudi A.J.O. Dierckx, Andor W.J.M. Glaudemans, Riemer H.J.A. Slart, Adriaan A. Lammertsma, Adrienne H. Brouwers, Charalampos Tsoumpas
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引用次数: 0

摘要

高灵敏度PET的最新进展允许显著降低辐射剂量,使CT辐射剂量占总扫描剂量的更大比例。据我们所知,这是第一个评估超低剂量CT (ld -CT)方案的可行性和有效性的研究,该方案结合了锡过滤器,通过减少辐射暴露,同时保持肿瘤患者的PET图像质量和定量准确性。方法:研究对象为29例肿瘤患者。FDG PET/CT扫描采用低剂量CT (LD-CT)和LD-CT两种方式进行。LD-CT方案使用了100 kVp和6 mAs的Sn滤波器,而针对PET衰减校正和解剖定位进行了优化的LD-CT方案则不使用Sn滤波器,使用100 - 120 kVp和12-30 mAs。对不同组织的PET图像进行定量和定性比较,重点是suv, Patlak分析和诊断质量。结果:超低密度CT方案使CT辐射剂量降低97%,由1.93±0.61 mSv降至0.059±0.026 mSv。SUV对比显示相对差异小于3%。在LD-CT和LD-CT PET重建的不同组织中,由Patlak重建得到的净流速率值的差异可以忽略不计。图像质量评估显示LD-CT和LD-CT PET重建之间没有显着差异,得分一直很高(在5分李克特量表上大于4分)。病变检测分析显示,观察内一致性强(类内相关系数>; 0.85),病变定位无显著差异。结论:ld -CT方案在保持PET扫描诊断质量的同时,显著降低了PET/CT的辐射暴露,引入的定量效应可以忽略不计,从而为优化PET/CT成像中的CT辐射方案铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influence of Ultra-Low-Dose CT on PET Image Quantification and Visual Assessment

Recent advances in high-sensitivity PET allow for significantly reduced radiation doses, making the CT radiation dose a larger fraction of the total scan dose. This is the first study to the best of our knowledge that evaluates the feasibility and efficacy of an ultra-low-dose CT (ULD-CT) protocol, incorporating a Sn filter, by reducing radiation exposure while maintaining PET image quality and quantitative accuracy in oncology patients. Methods: The study involved 29 oncology patients. FDG PET/CT scans were performed using both low-dose CT (LD-CT) and ULD-CT protocols. The ULD-CT protocol used the Sn filter with 100 kVp and 6 mAs, whereas the LD-CT protocol, optimized for PET attenuation correction and anatomic localization, was performed without the Sn filter, using 100–120 kVp and 12–30 mAs. Quantitative and qualitative comparisons of PET images were made, focusing on SUVs, Patlak analysis, and diagnostic quality on different tissues. Results: The ULD-CT protocol reduced the CT radiation dose by 97%, from 1.93 ± 0.61 mSv to 0.059 ± 0.026 mSv. SUV comparisons showed relative variations of less than 3%. The net rate of influx values resulting from the Patlak reconstruction showed negligible differences across various tissues between ULD-CT and LD-CT PET reconstructions. Image quality assessments revealed no significant differences between ULD-CT and LD-CT PET reconstructions, with consistently high scores (greater than 4 on a 5-point Likert scale). Lesion detection analysis showed strong intraobserver agreement (intraclass correlation coefficient > 0.85) without significant differences in lesion localization. Conclusion: The ULD-CT protocol substantially reduces radiation exposure in PET/CT while maintaining diagnostic quality of PET scans and introducing negligible quantitative effects, thereby paving the way for optimizing CT radiation protocols in PET/CT imaging.

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