Microstructure Characterization of Bone Metastases from Prostate Cancer with Diffusion MRI: Preliminary Findings.
Microstructure Characterization of Bone Metastases from Prostate Cancer with Diffusion MRI: Preliminary Findings.
复制标题
DOI：
10.3389/fonc.2018.00026
复制
发表时间：
2018
影响因子：
4.7
通讯作者：
Panagiotaki E
中科院分区：
文献类型：
--
作者：
Bailey C;Collins DJ;Tunariu N;Orton MR;Morgan VA;Feiweier T;Hawkes DJ;Leach MO;Alexander DC;Panagiotaki E
检查高b值和不同扩散时间的丰富扩散方案在探测骨转移瘤显微结构中的有用性。分析技术，包括生物物理和数学模型进行了比较与临床表观扩散系数（ADC）。4名患者使用13个b值（最高3，000 s/mm 2）和扩散时间（18-52 ms）进行扫描。将数据拟合到单指数ADC、体素内非相干运动（IVIM）、峰度和血管、细胞外和限制扩散肿瘤细胞计数（VERDICT）模型。使用相关图比较模型参数。ADC和IVIM不能很好地拟合数据，无法在高b值下捕获信号。峰度模型最好地解释了许多体素中的数据，但在表现出更多时间依赖性信号的体素中，VERDICT模型最好地解释了数据。ADC与VERDICT的细胞内扩散系数（r = 0.48）、细胞内体积分数（r =-0.21）和灌注分数（r = 0.46）参数显著相关（p < 0.004），表明这些因素都有助于ADC对比度。平均峰度与来自VERDICT的细胞内体积分数参数（r = 0.26）相关，与峰度与细胞性相关的假设一致，但也与细胞内扩散系数（r = 0.18）和细胞半径（r = 0.16）参数弱相关，这表明可能难以将物理意义归因于峰度。峰度和VERDICT都比ADC和IVIM更好地解释了弥散信号，主要是由于后两种模型在高b值下拟合不佳。峰度和VERDICT模型使用与ADC没有简单关系的参数（峰度或细胞内体积分数和半径）在高B下捕获信息，并且可以提供骨转移的额外显微结构信息。
To examine the usefulness of rich diffusion protocols with high b-values and varying diffusion time for probing microstructure in bone metastases. Analysis techniques including biophysical and mathematical models were compared with the clinical apparent diffusion coefficient (ADC). Four patients were scanned using 13 b-values up to 3,000 s/mm2 and diffusion times ranging 18–52 ms. Data were fitted to mono-exponential ADC, intravoxel incoherent motion (IVIM), Kurtosis and Vascular, extracellular, and restricted diffusion for cytometry in tumors (VERDICT) models. Parameters from the models were compared using correlation plots. ADC and IVIM did not fit the data well, failing to capture the signal at high b-values. The Kurtosis model best explained the data in many voxels, but in voxels exhibiting a more time-dependent signal, the VERDICT model explained the data best. The ADC correlated significantly (p < 0.004) with the intracellular diffusion coefficient (r = 0.48), intracellular volume fraction (r = −0.21), and perfusion fraction (r = 0.46) parameters from VERDICT, suggesting that these factors all contribute to ADC contrast. The mean kurtosis correlated with the intracellular volume fraction parameter (r = 0.26) from VERDICT, consistent with the hypothesis that kurtosis relates to cellularity, but also correlated weakly with the intracellular diffusion coefficient (r = 0.18) and cell radius (r = 0.16) parameters, suggesting that it may be difficult to attribute physical meaning to kurtosis. Both Kurtosis and VERDICT explained the diffusion signal better than ADC and IVIM, primarily due to poor fitting at high b-values in the latter two models. The Kurtosis and VERDICT models captured information at high b using parameters (Kurtosis or intracellular volume fraction and radius) that do not have a simple relationship with ADC and that may provide additional microstructural information in bone metastases.
登录
查看更多内容
DOI：
10.1016/j.ijrobp.2015.02.058
发表时间：
2015-07-15
期刊：
International journal of radiation oncology, biology, physics
影响因子：
--
作者：
Pramanik PP;Parmar HA;Mammoser AG;Junck LR;Kim MM;Tsien CI;Lawrence TS;Cao Y
通讯作者：
Cao Y
乳腺癌和周围基质中扩散MRI的微观结构模型：一项离体研究。
影响因子：
2.9
作者：
Bailey C;Siow B;Panagiotaki E;Hipwell JH;Mertzanidou T;Owen J;Gazinska P;Pinder SE;Alexander DC;Hawkes DJ
通讯作者：
Hawkes DJ
影响因子：
11.2
作者：
Panagiotaki, Eletheria;Walker-Samuel, Simon;Alexander, Daniel C.
通讯作者：
Alexander, Daniel C.
影响因子：
5.7
作者：
Panagiotaki, Eleftheria;Schneider, Torben;Alexander, Daniel C.
通讯作者：
Alexander, Daniel C.
影响因子：
19.7
作者：
Rosenkrantz, Andrew B.;Sigmund, Eric E.;Jensen, Jens H.
通讯作者：
Jensen, Jens H.