Chen Jingjing, Hua Hui, Pang Jing, Shi Xianglong, Bi Weiqun, Li Yingduan, Xu Wenjian
Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong Province, China.
Department of Thyroid Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong Province, China.
Open Life Sci. 2018 Sep 14;13:305-311. doi: 10.1515/biol-2018-0037. eCollection 2018 Jan.
To analyze the application value of apparent diffusion coefficient (ADC) and exponent apparent diffusion coefficient (EADC) in evaluating the efficacy of radiation and chemotherapy in cervical cancer using pre- and posttreatment diffusion-weighted magnetic resonance imaging (DW-MRI) scans.
52 patients with cervical cancer were administered radiation and chemotherapy. Both MRI and DW-MRI were obtained at different stages. The ADC and EADC values, as well as the maximum tumor diameter, were measured and analyzed.
We found that the ADC value increased after treatment, and the EADC value decreased. Changes in the calculated ADC occurred earlier than the morphologic changes of the tumors. A negative correlation was detected between reduced rates in the maximum tumor diameter two months after treatment and pretreatment ADC value (r = -0.658, P < 0.05). An ROC curve and nonlinear regression analysis showed that the formula, y = (1525500.122x - 4689.962x + 3.482) × 100%, can be used to calculate the percentage of complete remission after treatment according to the pretreatment ADC value.
Our data suggest that pretreatment ADC and EADC values are predictive of the efficacy of radiation and chemotherapy. Both ADC and EADC values during treatment were instrumental in early monitoring and dynamic observation.
利用治疗前后的扩散加权磁共振成像(DW-MRI)扫描,分析表观扩散系数(ADC)和指数表观扩散系数(EADC)在评估宫颈癌放化疗疗效中的应用价值。
52例宫颈癌患者接受放化疗。在不同阶段进行MRI和DW-MRI检查。测量并分析ADC值、EADC值以及肿瘤最大直径。
我们发现治疗后ADC值升高,EADC值降低。计算得到的ADC变化比肿瘤形态学变化出现得更早。治疗后两个月肿瘤最大直径缩小率与治疗前ADC值呈负相关(r = -0.658,P < 0.05)。ROC曲线和非线性回归分析表明,公式y = (1525500.122x - 4689.962x + 3.482) × 100%可根据治疗前ADC值计算治疗后完全缓解的百分比。
我们的数据表明,治疗前ADC和EADC值可预测放化疗疗效。治疗期间的ADC和EADC值有助于早期监测和动态观察。