The effect of 18F-FDG-PET image reconstruction algorithms on the expression of characteristic metabolic brain network in Parkinson's disease.
The effect of 18F-FDG-PET image reconstruction algorithms on the expression of characteristic metabolic brain network in Parkinson's disease.
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DOI：
10.1016/j.ejmp.2017.01.018
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发表时间：
2017-09
期刊：
影响因子：
--
通讯作者：
Trošt M
中科院分区：
文献类型：
--
作者：
Tomše P;Jensterle L;Rep S;Grmek M;Zaletel K;Eidelberg D;Dhawan V;Ma Y;Trošt M
评价不同重建算法重建的多组18 F-FDG-PET脑图像中帕金森病相关模式（PDRP）表达的重现性。在帕金森病（PD）患者和正常对照（NC）的两个独立队列中进行18F-FDG-PET脑成像。使用Siemens Biograph mCT相机扫描斯洛文尼亚队列（20例PD患者，20例NC），并使用FBP、FBP+TOF、OSEM、OSEM+TOF、OSEM+PSF和OSEM+PSF+TOF进行重建。使用GE Advance相机扫描美国队列（20例PD患者，7例NC），并使用3DRP、FORE-FBP和FORE-Iterative进行重建。计算两种先前验证的PDRP模式（PDRP-斯洛文尼亚和PDRP-美国）的表达。我们比较了PDRP区分PD患者和NC的能力，不同重建算法中相应受试者评分和ROC分析结果之间的差异和相关性。PDRP-Slovenia和PDRP-USA网络的表达在PD患者中与NC相比显著升高（p<0.0001），无论重建算法如何。PDRP表达在所有研究的算法和参考算法之间强烈相关（r≥0.993，p<0.0001）。对于PDRP-Slovenia和PDRP-USA，不同算法之间PDRP表达的平均差异分别在参考值的0.73和0.08范围内变化。ROC分析证实了所有研究的重建算法在灵敏度、特异性和AUC方面具有高度相似性。这些结果表明，PDRP的表达在18F-FDG-PET脑图像的各种重建算法中是可再现的。PDRP能够为鉴别诊断或临床试验背景下采集的多中心18F-FDG-PET图像提供PD的稳健代谢生物标志物。
To evaluate the reproducibility of the expression of Parkinson’s Disease Related Pattern (PDRP) across multiple sets of 18F-FDG-PET brain images reconstructed with different reconstruction algorithms. 18F-FDG-PET brain imaging was performed in two independent cohorts of Parkinson’s disease (PD) patients and normal controls (NC). Slovenian cohort (20 PD patients, 20 NC) was scanned with Siemens Biograph mCT camera and reconstructed using FBP, FBP+TOF, OSEM, OSEM+TOF, OSEM+PSF and OSEM+PSF+TOF. American Cohort (20 PD patients, 7 NC) was scanned with GE Advance camera and reconstructed using 3DRP, FORE-FBP and FORE-Iterative. Expressions of two previously-validated PDRP patterns (PDRP-Slovenia and PDRP-USA) were calculated. We compared the ability of PDRP to discriminate PD patients from NC, differences and correlation between the corresponding subject scores and ROC analysis results across the different reconstruction algorithms. The expression of PDRP-Slovenia and PDRP-USA networks was significantly elevated in PD patients compared to NC (p<0.0001), regardless of reconstruction algorithms. PDRP expression strongly correlated between all studied algorithms and the reference algorithm (r≥0.993, p<0.0001). Average differences in the PDRP expression among different algorithms varied within 0.73 and 0.08 of the reference value for PDRP-Slovenia and PDRP-USA, respectively. ROC analysis confirmed high similarity in sensitivity, specificity and AUC among all studied reconstruction algorithms. These results show that the expression of PDRP is reproducible across a variety of reconstruction algorithms of 18F-FDG-PET brain images. PDRP is capable of providing a robust metabolic biomarker of PD for multicenter 18F-FDG-PET images acquired in the context of differential diagnosis or clinical trials.
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影响因子：
4.8
作者：
Peng, Shichun;Ma, Yilong;Spetsieris, Phoebe G.;Mattis, Paul;Feigin, Andrew;Dhawan, Vijay;Eidelberg, David
通讯作者：
Eidelberg, David
影响因子：
5.7
作者：
Spetsieris PG;Eidelberg D
通讯作者：
Eidelberg D
影响因子：
11
作者：
HUGHES, AJ;DANIEL, SE;LEES, AJ
通讯作者：
LEES, AJ
影响因子：
6.3
作者：
Ma, Yilong;Tang, Chengke;Eidelberg, David
通讯作者：
Eidelberg, David
影响因子：
14.5
作者：
Asanuma, Kotaro;Tang, Chengke;Eidelberg, David
通讯作者：
Eidelberg, David