Improvement in lesion detection with whole-body oncologic time-of-flight PET.

Improvement in lesion detection with whole-body oncologic time-of-flight PET.
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DOI:
10.2967/jnumed.110.080382
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发表时间:
2011-03
期刊:
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
影响因子:
--
通讯作者:
Karp JS
Karp JS
中科院分区:
其他
文献类型:
--
作者:
El Fakhri G;Surti S;Trott CM;Scheuermann J;Karp JS

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飞行时间 (TOF) PET 在全身肿瘤学应用中具有巨大潜力,最近的工作已经在患者研究中定性地证明了可以在病变可见度方面实现的改善。这项工作的目的是客观地量化在 100 名患者的队列中使用全身 FDG TOF-PET 在肺部和肝脏病变中可实现的病变可检测性的改善,作为患者体重指数 (BMI)、病变位置和对比度以及扫描时间的函数。本研究纳入了 100 名 BMI 在 16 至 45 之间的患者。在每个患者肺和肝脏的不同位置,在空气中分别对人造 1 厘米球形病灶进行成像,适当衰减并合并到具有四种不同病灶与背景对比度范围的患者列表模式数据中。使用列表模式、具有按时间顺序排序的子集的非松弛 OSEM 和用于 TOF 重建的高斯 TOF 核来重建存在或不存在人工损伤的融合研究。根据 3 通道霍特林观测器 (CHO-SNR) 的性能对条件进行比较,该观测器在对观测器噪声进行建模时检测解剖背景上是否存在未知尺寸的球体。与非 TOF PET 相比,TOF-PET 的病灶检测性能(CHO-SNR 比率)在肝脏中提高了 8.3%,在肺部中提高了 15.1%。对于平均对比度值 2.0:1、3.2:1、4.4:1 和 5.7:1,所有病变的改善分别为 20.3%、12.0%、9.2% 和 7.5%。此外,BMI < 30 的患者的改善率为 9.8%,BMI > 30 的患者的改善率为 11.1%。作为迭代次数的函数,使用 TOF 的性能比非 TOF 更快地达到稳定状态。与所有对比度和 BMI 相比,TOF-PET 在肿瘤学研究中的病变检测方面取得了显着改善,较低病变对比度的效果更好。这一改进是在不影响 PET 成像其他方面的情况下实现的。
Time of Flight (TOF) PET has great potential in whole-body oncological applications and recent work has demonstrated qualitatively in patient studies the improvement that can be achieved in lesion visibility. The aim of this work was to objectively quantify the improvement in lesion detectability that can be achieved in pulmonary and hepatic lesions with whole body FDG TOF-PET in a cohort of 100 patients as a function of patient body mass index (BMI), lesion location and contrast, and scanning time. 100 patients with BMIs ranging from 16 to 45 were included in this study. Artificial 1-cm spherical lesions were imaged separately in air at variable locations of each patient’s lung and liver, appropriately attenuated and incorporated in the patient listmode data with four different lesion-to-background contrast ranges. The fused studies with artificial lesion present or absent were reconstructed using a listmode, un-relaxed OSEM with chronologically ordered subsets and a Gaussian TOF kernel for TOF reconstruction. Conditions were compared on the basis of performance of a 3-channel Hotelling observer (CHO-SNR) in detecting the presence of a sphere of unknown size on an anatomic background while modeling observer noise. TOF-PET yielded an improvement in lesion detection performance (ratio of CHO-SNR) over non-TOF PET of 8.3% in the liver and 15.1% in the lungs. The improvement in all lesions was 20.3, 12.0, 9.2 and 7.5% for mean contrast values of 2.0:1, 3.2:1, 4.4:1, and 5.7:1, respectively. Furthermore, this improvement was 9.8% in patients with BMI<30 and 11.1% in patients with BMI>30. Performance plateaued faster as a function of number of iterations with TOF than non-TOF. TOF-PET yielded a significant improvement in lesion detection in oncologic studies over all contrasts and BMIs that was greater for lower lesion contrast. This improvement was achieved without compromising other aspects of PET imaging.
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