DataSheet_1_Statistical Evaluation of Different Mathematical Models for Diffusion Weighted Imaging of Prostate Cancer Xenografts in Mice.pdf

PurposeTo evaluate fitting quality and repeatability of four mathematical models for diffusion weighted imaging (DWI) during tumor progression in mouse xenograft model of prostate cancer.MethodsHuman prostate cancer cells (PC-3) were implanted subcutaneously in right hind limbs of 11 immunodeficient mice. Tumor growth was followed by weekly DWI examinations using a 7T MR scanner. Additional DWI examination was performed after repositioning following the fourth DWI examination to evaluate short term repeatability. DWI was performed using 15 and 12 b-values in the ranges of 0-500 and 0-2000 s/mm2, respectively. Corrected Akaike information criteria and F-ratio were used to evaluate fitting quality of each model (mono-exponential, stretched exponential, kurtosis, and bi-exponential).ResultsSignificant changes were observed in DWI data during the tumor growth, indicated by ADCm, ADCs, and ADCk. Similar results were obtained using low as well as high b-values. No marked changes in model preference were present between the weeks 1−4. The parameters of the mono-exponential, stretched exponential, and kurtosis models had smaller confidence interval and coefficient of repeatability values than the parameters of the bi-exponential model.ConclusionStretched exponential and kurtosis models showed better fit to DWI data than the mono-exponential model and presented with good repeatability.

旨在评估四种数学模型在前列腺癌细胞系PC-3移植于11只免疫缺陷小鼠右后肢皮下后，针对小鼠异种移植模型中前列腺癌进展期间扩散加权成像（DWI）的拟合质量与可重复性。方法：将人前列腺癌细胞系PC-3植入11只免疫缺陷小鼠的右后肢皮下。通过每周使用7T磁共振扫描器进行DWI检查来监测肿瘤生长。在第四次DWI检查后重新定位并进行额外的DWI检查，以评估短期可重复性。使用15和12 b值分别进行DWI，b值范围分别为0-500和0-2000 s/mm²。采用修正的赤池信息准则和F比值评估每个模型的拟合质量（单指数、拉伸指数、峰度指数和双指数）。结果：在肿瘤生长过程中，DWI数据出现了显著变化，表现为ADCm、ADCs和ADCk的变化。使用低b值和高b值均获得了相似的结果。在1-4周之间，模型偏好没有明显变化。单指数、拉伸指数和峰度模型的参数相比双指数模型的参数，具有更小的置信区间和可重复性系数。结论：拉伸指数模型和峰度模型与DWI数据拟合度优于单指数模型，并展现出良好的可重复性。