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A valuable MRI examination method for prostate cancer screening

机译:一种珍贵的前列腺癌筛查MRI检查方法

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To investigate the value of the 1.5T magnetic resonance imaging (MRI) apparent diffusion coefficient (ADC) and the prostate imaging reporting and data system (PI-RADS) score in prostate cancer (PCa) screening. Forty PCa patients diagnosed by pathology from December 2014 to September 2018 were recruited as the PCa group; 60 patients with benign prostatic hyperplasia (BPH) were recruited as the benign group. Patients from both groups underwent 1.5T MRI scanning. The prostate ADC values, exponential apparent diffusion coefficient (eADC) values, and PI-RADS scores of patients from the 2 groups were compared. The different methods for PCa diagnosis were compared. The ADC values of patients in the PCa group were significantly lower than those in the benign group, whereas the eADC values of patients were significantly higher than those in the benign group, with statistically significant differences ( P .05). The differences in the PI-RADS scores of patients from the 2 groups were statistically significant ( P .05). Receiver Operating Characteristic (ROC) curve results showed that the ADC value combined with the PI-RADS score was superior to the ADC value or the PI-RADS score alone in sensitivity, specificity, and Youden index for PCa diagnosis. By comparing the area under the curve (AUC) of each ROC curve from the different diagnostic methods, the combination of ADC value and PI-RADS score showed the largest area. The ADC value from 1.5T MRI combined with the PI-RADS score could be used as the standard for PCa screening, which would effectively improve screening for PCa and be valuable for clinical applications.
机译:研究前列腺癌(PCA)筛选的1.5T磁共振成像(MRI)表观扩散系数(ADC)和前列腺成像报告和数据系统(PI-RADS)评分的值。 2014年12月至2018年9月诊断出的四十名PCA患者被招募为PCA集团; 60例良性前列腺增生(BPH)作为良性组招募。两组患者接受了1.5T的MRI扫描。比较了前列腺ADC值,指数表观扩散系数(EADC)值和来自2组患者的PI-RADS分数。比较了PCA诊断的不同方法。 PCA组患者的ADC值明显低于良性组中的患者,而患者的EADC值明显高于良性组中的患者,具有统计学上显着的差异(P <.05)。来自2组患者的PI-RADS评分的差异是统计学上显着的(P <.05)。接收器操作特征(ROC)曲线结果表明,与PI-RADS分数相结合的ADC值优于ADC值或单独的PI-RADS分数,单独的PCA诊断指数。通过从不同的诊断方法比较每个ROC曲线的曲线(AUC)下的区域,ADC值和PI-RADS分数的组合显示了最大的区域。从1.5T MRI结合PI-RAD分数的ADC值可用作PCA筛选的标准,这将有效改善PCA的筛选,对临床应用有价值。

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