MRI-based patient-specific human carotid atherosclerotic vessel material property variations in patients, vessel location and long-term follow up.
MRI-based patient-specific human carotid atherosclerotic vessel material property variations in patients, vessel location and long-term follow up.
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基于 MRI 的患者特异性人颈动脉粥样硬化血管材料特性变化、血管位置和长期随访
DOI：
10.1371/journal.pone.0180829
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发表时间：
2017
期刊：
影响因子：
3.7
通讯作者：
Tang D
中科院分区：
文献类型：
--
作者：
Wang Q;Canton G;Guo J;Guo X;Hatsukami TS;Billiar KL;Yuan C;Wu Z;Tang D
背景 基于图像的计算模型广泛用于确定动脉粥样硬化斑块应力/应变条件并研究它们与斑块进展和破裂的关联。然而，这些模型通常缺乏患者特定的血管材料特性，限制了其应力/应变测量的准确性。引入了一种将体内 3D 多重对比和电影磁共振成像 (MRI) 与计算模型相结合的无创方法，以量化患者特定的颈动脉斑块材料特性，以实现潜在的斑块模型改进。研究了患者、沿血管段以及基线和随访之间的血管材料特性变化。方法从 8 名患者中获取体内 3D 多重对比和电影 MRI 颈动脉斑块数据，并进行随访（18 个月）并获得书面知情同意。使用 3D 薄层模型和已建立的迭代程序来确定 16 个斑块样本中 81 个切片的 Mooney-Rivlin 模型的参数值。计算有效杨氏模量（YM）值以进行比较和分析。结果 81片切片的平均有效杨氏模量（YM）和周向收缩率（C-Shrink）值分别为411kPa和5.62%。切片 YM 值从 70 kPa（最软）到 1284 kPa（最硬）变化，相差 1734%。不同血管的平均切片 YM 值从 109 kPa（最软）到 922 kPa（最硬）不等，相差 746%。从位置来看，容器内的最大切片 YM 变化率为 311%（149 kPa 与 613 kPa）。 16 个容器的平均切片 YM 变异率为 134%。所有患者的 YM 值从基线到随访的平均变化为 61.0%。 YM值的变化范围为[-28.4%,215%]。对于斑块进展研究，随访时的 YM 显示与通过壁厚度增加 (WTI) 测量的斑块进展呈负相关 (r = -0.7764，p = 0.0235)。基线壁厚与 WTI 呈负相关，r = -0.5253 (p = 0.1813)。基线时的斑块负荷与基线和随访之间的 YM 变化相关，r = 0.5939 (p = 0.1205)。结论 体内颈动脉血管材料特性因患者、患者体内患病部位以及时间的不同而存在很大差异。在斑块模型中使用特定于患者、特定于位置和特定于时间的材料特性可能会提高模型应力/应变计算的准确性。
Background Image-based computational models are widely used to determine atherosclerotic plaque stress/strain conditions and investigate their association with plaque progression and rupture. However, patient-specific vessel material properties are in general lacking in those models, limiting the accuracy of their stress/strain measurements. A noninvasive approach of combining in vivo 3D multi-contrast and Cine magnetic resonance imaging (MRI) and computational modeling was introduced to quantify patient-specific carotid plaque material properties for potential plaque model improvements. Vessel material property variation in patients, along vessel segment, and between baseline and follow up were investigated. Methods In vivo 3D multi-contrast and Cine MRI carotid plaque data were acquired from 8 patients with follow-up (18 months) with written informed consent obtained. 3D thin-layer models and an established iterative procedure were used to determine parameter values of the Mooney-Rivlin models for the 81slices from 16 plaque samples. Effective Young’s Modulus (YM) values were calculated for comparison and analysis. Results Average Effective Young’s Modulus (YM) and circumferential shrinkage rate (C-Shrink) value of the 81 slices was 411kPa and 5.62%, respectively. Slice YM value varied from 70 kPa (softest) to 1284 kPa (stiffest), a 1734% difference. Average slice YM values by vessel varied from 109 kPa (softest) to 922 kPa (stiffest), a 746% difference. Location-wise, the maximum slice YM variation rate within a vessel was 311% (149 kPa vs. 613 kPa). The average slice YM variation rate for the 16 vessels was 134%. The average variation of YM values for all patients from baseline to follow up was 61.0%. The range of the variation of YM values was [-28.4%, 215%]. For plaque progression study, YM at follow-up showed negative correlation with plaque progression measured by wall thickness increase (WTI) (r = -0.7764, p = 0.0235). Wall thickness at baseline correlated with WTI negatively, with r = -0.5253 (p = 0.1813). Plaque burden at baseline correlated with YM change between baseline and follow-up, with r = 0.5939 (p = 0.1205). Conclusion In vivo carotid vessel material properties have large variations from patient to patient, along the diseased segment within a patient, and with time. The use of patient-specific, location specific and time-specific material properties in plaque models could potentially improve the accuracy of model stress/strain calculations.
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影响因子：
2.4
作者：
Kural, Mehmet H.;Cai, Mingchao;Tang, Dalin;Gwyther, Tracy;Zheng, Jie;Billiar, Kristen L.
通讯作者：
Billiar, Kristen L.
影响因子：
2.4
作者：
Tang, Dalin;Kamm, Roger D.;Yang, Chun;Zheng, Jie;Canton, Gador;Bach, Richard;Huang, Xueying;Hatsukami, Thomas S.;Zhu, Jian;Ma, Genshan;Maehara, Akiko;Mintz, Gary S.;Yuan, Chun
通讯作者：
Yuan, Chun
影响因子：
2.4
作者：
Gao, Hao;Long, Quan;Li, Zhi-Yong
通讯作者：
Li, Zhi-Yong
影响因子：
3.8
作者：
Kaazempur-Mofrad, MR;Isasi, AG;Kamm, RD
通讯作者：
Kamm, RD
影响因子：
2
作者：
Holzapfel, GA;Gasser, TC;Ogden, RW
通讯作者：
Ogden, RW