A fractional motion diffusion model for grading pediatric brain tumors.
A fractional motion diffusion model for grading pediatric brain tumors.
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DOI：
10.1016/j.nicl.2016.10.003
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发表时间：
2016
影响因子：
4.2
通讯作者：
Zhou, Xiaohong Joe
中科院分区：
文献类型：
--
作者：
Karaman, M. Muge;Wang, He;Sui, Yi;Engelhard, Herbert H.;Li, Yuhua;Zhou, Xiaohong Joe
关键词：
证明新型分数运动（FM）扩散模型用于区分低级别和高级别儿童脑肿瘤的可行性；并研究其相对于表观扩散系数（ADC）和/或先前报道的连续时间随机游走（CTRW）扩散模型的可能优势。经机构审查委员会批准并获得所有参与患者法定监护人的书面知情同意书，这项研究涉及 70 名经组织病理学证实患有脑肿瘤的儿童（30 名低级别和 40 名高级别）。使用 FM、CTRW 和单指数扩散模型获取和分析多 b 值扩散图像。使用 Mann-Whitney-Wilcoxon U 检验比较低级别和高级别肿瘤组之间的 FM 参数 Dfm、ψ、ψ（非高斯扩散统计测量）和 CTRW 参数 Dm、α、β（非高斯时间和空间扩散异质性测量）。使用受试者工作特征 (ROC) 分析评估 FM 模型区分低级别和高级别肿瘤的性能，并将其与 CTRW 和单指数模型进行比较。高等级（Dfm：0.81 ± 0.26，φ：1.40 ± 0.10，ψ：0.42 ± 0.11）的 FM 参数显着低于低等级（Dfm：1.52 ± 0.52，φ：1.64 ± 0.13，ψ： 0.67 ± 0.13) 肿瘤组。 ROC 分析显示，与传统 ADC 相比，FM 参数在区分肿瘤恶性肿瘤方面具有更好的特异性（88% 对 73%）、灵敏度（90% 对 82%）、准确度（88% 对 78%）和曲线下面积（AUC，93% 对 80%）。 FM模型的性能与CTRW模型相似。与 CTRW 模型类似，FM 模型可以比 ADC 更好地区分低级别和高级别儿童脑肿瘤。分数运动（FM）扩散模型应用于儿童脑肿瘤。 FM 模型参数可能对组织微观结构敏感。 FM 模型优于单指数扩散模型。 FM 模型的性能与连续时间随机游走 (CTRW) 模型类似。我们的结果对最近细胞培养生物物理学研究的结果提出了挑战。
To demonstrate the feasibility of a novel fractional motion (FM) diffusion model for distinguishing low- versus high-grade pediatric brain tumors; and to investigate its possible advantage over apparent diffusion coefficient (ADC) and/or a previously reported continuous-time random-walk (CTRW) diffusion model. With approval from the institutional review board and written informed consents from the legal guardians of all participating patients, this study involved 70 children with histopathologically-proven brain tumors (30 low-grade and 40 high-grade). Multi-b-value diffusion images were acquired and analyzed using the FM, CTRW, and mono-exponential diffusion models. The FM parameters, Dfm, φ, ψ (non-Gaussian diffusion statistical measures), and the CTRW parameters, Dm, α, β (non-Gaussian temporal and spatial diffusion heterogeneity measures) were compared between the low- and high-grade tumor groups by using a Mann-Whitney-Wilcoxon U test. The performance of the FM model for differentiating between low- and high-grade tumors was evaluated and compared with that of the CTRW and the mono-exponential models using a receiver operating characteristic (ROC) analysis. The FM parameters were significantly lower (p < 0.0001) in the high-grade (Dfm: 0.81 ± 0.26, φ: 1.40 ± 0.10, ψ: 0.42 ± 0.11) than in the low-grade (Dfm: 1.52 ± 0.52, φ: 1.64 ± 0.13, ψ: 0.67 ± 0.13) tumor groups. The ROC analysis showed that the FM parameters offered better specificity (88% versus 73%), sensitivity (90% versus 82%), accuracy (88% versus 78%), and area under the curve (AUC, 93% versus 80%) in discriminating tumor malignancy compared to the conventional ADC. The performance of the FM model was similar to that of the CTRW model. Similar to the CTRW model, the FM model can improve differentiation between low- and high-grade pediatric brain tumors over ADC. The fractional motion (FM) diffusion model was applied to pediatric brain tumors. The FM model parameters can be sensitive to tissue microstructures. The FM model outperforms the mono-exponential diffusion model. The FM model performs similarly to the continuous-time random-walk (CTRW) model. Our results challenge those from recent biophysics studies in cell cultures.
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