Zhou Xin, Li Yida, Zhang Xinyuan, Zhang Mengmeng, Zhang Renfu, Sun Shengjian, Li Guohua
Department of Medical Technology, Qiqihar Medical University, Qiqihar, China.
Department of Radiology, The First Affiliated Hospital of Qiqihar Medical University, Qiqihar, China.
Braz J Med Biol Res. 2025 Aug 29;58:e14527. doi: 10.1590/1414-431X2025e14527. eCollection 2025.
The aim of this study was to evaluate the dynamic variations in the quantitative parameters of diffusion-weighted imaging (DWI) at different b-value combinations in a prostate cancer (PCa) mouse model for noninvasive monitoring of histopathological changes. Twenty-five male C57BL/6J mice were randomly allocated into a control group (n=5) or an experimental group (n=20). The experimental groups were used to establish the PCa model. On days 9, 12, 15, and 18 post-modeling, 5 mice were randomly selected for MRI, including T1WI, T2WI, T2WI SPIR, and DWI. The b-values were set at 0, 500, 1000, 1500, and 2000 s/mm2. Apparent diffusion coefficient (ADC) and exponential apparent diffusion coefficient (EADC) values from different b-value combinations were measured. Post-MRI, tumors were excised for histopathological analysis. DWI quantitative parameters, tumor nuclear fraction, and Ki-67 area fraction were compared on different days, along with correlation analysis. ADC values gradually decreased as tumor progressed, whereas EADC values gradually increased. Tumor nuclear fraction increased over time. Ki-67 increased first and then decreased. Tumor nuclear fraction was negatively correlated with the ADC value and positively correlated with the EADC value. The Ki-67 was positively correlated with the ADC value and negatively correlated with the EADC value. ADC values at b=1000, 1500 s/mm2 and the EADC values at b=0, 500 s/mm2 demonstrated the strongest correlations with the tumor nuclear fraction; the ADC and EADC values at b=500, 1000 s/mm2 were more strongly correlated with Ki-67, being potential noninvasive imaging biomarkers for monitoring changes in tumor histopathology.
本研究的目的是评估前列腺癌（PCa）小鼠模型中不同b值组合下扩散加权成像（DWI）定量参数的动态变化，以无创监测组织病理学变化。25只雄性C57BL/6J小鼠被随机分为对照组（n = 5）或实验组（n = 20）。实验组用于建立PCa模型。在建模后的第9、12、15和18天，随机选择5只小鼠进行MRI检查，包括T1WI、T2WI、T2WI SPIR和DWI。b值设置为0、500、1000、1500和2000 s/mm2。测量不同b值组合下的表观扩散系数（ADC）和指数表观扩散系数（EADC）值。MRI检查后，切除肿瘤进行组织病理学分析。比较不同时间点的DWI定量参数、肿瘤核分数和Ki-67面积分数，并进行相关性分析。随着肿瘤进展，ADC值逐渐降低，而EADC值逐渐升高。肿瘤核分数随时间增加。Ki-67先升高后降低。肿瘤核分数与ADC值呈负相关，与EADC值呈正相关。Ki-67与ADC值呈正相关，与EADC值呈负相关。b = 1000、1500 s/mm2时的ADC值和b = 0、500 s/mm2时的EADC值与肿瘤核分数的相关性最强；b = 500、1000 s/mm2时的ADC和EADC值与Ki-67的相关性更强，是监测肿瘤组织病理学变化的潜在无创成像生物标志物。
