Impact of time-of-flight PET on whole-body oncologic studies: a human observer lesion detection and localization study.
Impact of time-of-flight PET on whole-body oncologic studies: a human observer lesion detection and localization study.
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飞行时间宠物对全身肿瘤研究的影响：人类观察者病变检测和定位研究。
DOI：
10.2967/jnumed.110.086678
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发表时间：
2011-05
期刊：
影响因子：
--
通讯作者：
Karp JS
中科院分区：
文献类型：
--
作者：
Surti S;Scheuermann J;El Fakhri G;Daube-Witherspoon ME;Lim R;Abi-Hatem N;Moussallem E;Benard F;Mankoff D;Karp JS
体模研究表明，飞行时间（TOF）PET可改善病变检测性能。在这项研究中，我们评估了全3D TOF PET在临床全身肿瘤学中的受益，使用人类观察者在真实的患者解剖背景中定位和检测病变。我们的假设是，通过TOF成像，我们实现了改善的病变检测和定位，用于临床上具有挑战性的任务，对大型患者有更大的影响。选择了100例18 F-氟脱氧葡萄糖（18 F-FDG）摄取正常的患者研究。10 mm直径的球体在空气中在扫描仪视场（FOV）中的可变位置处成像，对应于每个患者体内的肺和肝位置。球体数据进行衰减校正，并与患者数据合并，以产生融合列表数据文件，其中病变添加到正常患者。所有列表文件都使用列表模式迭代算法进行了完全校正，并使用或不使用TOF内核进行重建。将图像提供给阅片师，以定位并报告病变的存在/不存在。然后分析解释结果以计算正确定位和检测的概率，以及局部受试者工作特征（LROC）曲线下的面积。结果分析为每个床位的扫描时间、患者体重指数（BMI < 26和BMI ≥ 26）和成像类型（TOF和非TOF）的函数。我们的研究结果表明，较长的扫描时间导致所有患者尺寸的LROC曲线下面积的改善。对于体型较大的患者（BMI ≥ 26），TOF成像的LROC曲线下面积增加更大。最后，将较长的扫描时间与TOF成像相结合，我们看到大患者和小患者的LROC曲线下面积差异较小。较长扫描时间（本研究中为3分钟）与TOF成像的组合为大型患者和/或小型或大型患者的低摄取病变成像提供了最佳性能。该成像方案还为具有相似相对摄取的相同器官类型中的病变提供了所有患者体型的相似性能，表明能够在大多数肿瘤学病变检测任务中提供统一的临床诊断能力。
Phantom studies have shown improved lesion detection performance with time-of-flight (TOF) PET. In this study we evaluate the benefit of fully-3D, TOF PET in clinical whole-body oncology using human observers to localize and detect lesions in realistic patient anatomic backgrounds. Our hypothesis is that with TOF imaging we achieve improved lesion detection and localization for clinically challenging tasks with a bigger impact in large patients. 100 patient studies with normal 18F-fluoro-deoxyglucose (18F-FDG) uptake were chosen. 10-mm diameter spheres were imaged in air at variable locations in the scanner field-of-view (FOV) corresponding to lung and liver locations within each patient. Sphere data were corrected for attenuation and merged with patient data to produce fused list data files with lesions added to normal patients. All list files were reconstructed with full corrections and with or without the TOF kernel using a list-mode iterative algorithm. The images were presented to readers to localize and report with a confidence level the presence/absence of a lesion. The interpretation results were then analyzed to calculate the probability of correct localization and detection, and the area under the localized receiver operating characteristic (LROC) curve. The results were analyzed as a function of scan time per bed position, patient body-mass index (BMI < 26 and BMI ≥ 26), and type of imaging (TOF and Non-TOF). Our results showed that longer scan times led to improved area under the LROC curve for all patient sizes. With TOF imaging there was a bigger increase in the area under the LROC curve for larger patients (BMI ≥ 26). Finally, combining longer scan times with TOF imaging we saw smaller differences in the area under the LROC curve for large and small patients. A combination of longer scan time (3 minutes in this study) together with TOF imaging provides the best performance for imaging large patients and/or a low uptake lesion in small or large patients. This imaging protocol also provides similar performance over all patient sizes for lesions in the same organ type with similar relative uptake, indicating an ability to provide a uniform clinical diagnostic capability in most oncologic lesion detection tasks.
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DOI：
10.2967/jnumed.109.063016
发表时间：
2009-08
期刊：
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
影响因子：
--
作者：
Kadrmas DJ;Casey ME;Conti M;Jakoby BW;Lois C;Townsend DW
通讯作者：
Townsend DW
影响因子：
1.8
作者：
Watson, Charles C.
通讯作者：
Watson, Charles C.
影响因子：
3.5
作者：
Conti, M;Bendriem, B;Panin, V
通讯作者：
Panin, V
影响因子：
3.8
作者：
Swensson, RG
通讯作者：
Swensson, RG
DOI：
10.2967/jnumed.110.080382
发表时间：
2011-03
期刊：
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
影响因子：
--
作者：
El Fakhri G;Surti S;Trott CM;Scheuermann J;Karp JS
通讯作者：
Karp JS