Institute of Radiology and Nuclear Medicine, Clinical Research Unit, Hirslanden Hospital St. Anna, Lucerne, Switzerland.
Institute for Biomedical Engineering, ETH and University of Zurich, Zurich, Switzerland.
Sci Rep. 2017 Jul 19;7(1):5809. doi: 10.1038/s41598-017-06246-4.
Diffusion-weighted imaging quantified using the mono-exponential model has shown great promise for monitoring treatment response in prostate cancer bone metastases. The aim of this prospective study is to evaluate whether non-mono-exponential diffusion models better describe the water diffusion properties and may improve treatment response assessment. Diffusion-weighted imaging data of 12 treatment-naïve patients with 34 metastases acquired before and at one, two, and three months after initiation of antiandrogen treatment are analysed using the mono-exponential, the intravoxel incoherent motion, the stretched exponential, and the statistical model. Repeatability of the fitted parameters and changes under therapy are quantified. Model preference is assessed and correlation coefficients across times are calculated to delineate the relationship between the prostate-specific antigen levels and the diffusion parameters as well as between the diffusion parameters within each model. There is a clear preference for non-mono-exponential diffusion models at all time points. Particularly the stretched exponential is favoured in approximately 60% of the lesions. Its parameters increase significantly in response to treatment and are highly repeatable. Thus, the stretched exponential may be utilized as a potential optimal model for monitoring treatment response. Compared with the mono-exponential model, it may provide complementary information on tissue properties and improve response assessment.
使用单指数模型进行定量扩散加权成像已显示出在监测前列腺癌骨转移的治疗反应方面具有巨大的潜力。本前瞻性研究旨在评估非单指数扩散模型是否能更好地描述水扩散特性,并可能改善治疗反应评估。分析了 12 名未经治疗的患者的 34 个转移灶的扩散加权成像数据,这些患者在开始抗雄激素治疗前和治疗后 1、2 和 3 个月进行了单指数、体素内不相干运动、拉伸指数和统计模型分析。量化了拟合参数的可重复性和治疗下的变化。评估了模型偏好,并计算了各时间点的相关系数,以描绘前列腺特异性抗原水平与扩散参数之间的关系,以及每个模型内的扩散参数之间的关系。在所有时间点都明显偏好非单指数扩散模型。特别是在大约 60%的病变中,拉伸指数更为受欢迎。其参数在治疗后显著增加且具有高度可重复性。因此,拉伸指数可作为监测治疗反应的潜在最佳模型。与单指数模型相比,它可能提供有关组织特性的补充信息,并改善反应评估。