姬广海,孛茹婷,郑义,蔡磊,李鹏,叶平,陈志强.基于第2版前列腺影像报告和数据系统的多参数MRI诊断外周带前列腺癌[J].中国医学影像技术,2016,32(9):1414~1418
基于第2版前列腺影像报告和数据系统的多参数MRI诊断外周带前列腺癌
Multiparametric MRI based on prostate imaging reporting and data system version 2 in diagnosis of peripheral prostate cancer
投稿时间:2015-12-11  修订日期:2016-05-27
DOI:10.13929/j.1003-3289.2016.09.025
中文关键词:  前列腺肿瘤  磁共振成像  第2版前列腺影像报告和数据系统
英文关键词:Prostatic neoplasms  Magnetic resonance imaging  Prostate imaging reporting and data system version 2
基金项目:宁夏自然科学基金(NZ13280、NZ1234)、2015年宁夏研究生教育创新计划项目(NXYC201511)。
作者单位E-mail
姬广海 宁夏医科大学临床医学院, 宁夏 银川 750004  
孛茹婷 宁夏医科大学临床医学院, 宁夏 银川 750004  
郑义 宁夏医科大学临床医学院, 宁夏 银川 750004  
蔡磊 宁夏医科大学总医院放射科, 宁夏 银川 750004  
李鹏 宁夏医科大学总医院放射科, 宁夏 银川 750004  
叶平 宁夏医科大学临床医学院, 宁夏 银川 750004  
陈志强 宁夏医科大学总医院放射科, 宁夏 银川 750004 zhiqiang_chen99@163.com 
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中文摘要:
      目的 探讨基于第2版前列腺影像报告和数据系统(PI-RADSv2)的多参数磁共振成像(mp-MRI)诊断外周带前列腺癌(PCa)的价值。方法 收集经病理证实的前列腺疾病患者95例,其中外周带PCa的患者35例和良性前列腺增生(BPH)和(或)慢性前列腺炎患者60例,均于穿刺前接受T2WI、DWI和动态对比增强MRI(DCE-MRI)检查。对所有患者的图像分别进行T2WI和DWI评分、DCE-MRI分类,再进行PI-RADSv2评分。以病理结果为金标准,分别计算T2WI、DWI、DCE-MRI和基于PI-RADSv2的mp-MRI诊断外周带PCa的敏感度、特异度和准确率,绘制ROC曲线,并计算曲线下面积(AUC)。结果 T2WI、DWI、DCE-MRI及基于PI-RADSv2的mp-MRI诊断外周带PCa的敏感度、特异度、准确率、AUC分别为82.86%(29/35)、80.00%(48/60)、81.05%(77/95)、0.849,77.14%(27/35)、88.33%(53/60)、84.21%(80/95)、0.866,80.00%(28/35)、76.67%(46/60)、77.89%(74/95)、0.783,88.57%(31/35)、78.33%(47/60)、82.11%(78/95)、0.881。结论 基于PI-RADSv2的mp-MRI通过优化序列组合,对外周带PCa的诊断具有重要指导意义。
英文摘要:
      Objective To explore the value of multiparametric MRI (mp-MRI) based on prostate imaging reporting and data system version 2 (PI-RADSv2) in diagnosis of peripheral prostate cancer (PCa). Methods Totally 95 prostate disease patients confirmed by pathology were collected, including 35 PCa patients and 60 benign prostate hyperplasia and (or) chronic prostatitis patients, and they all underwent T2WI, DWI, and dynamic contrast-enhanced MRI (DCE-MRI) before puncture. T2WI score, DWI score and DCE-MRI classifaction of all images were acquired respectively, and PI-RADSv2 score was carried out. Taking the result of pathology as gold standard, sensitivity, specificity, accuracy of T2WI, DWI, DCE-MRI and mp-MRI based on PI-RADSv2 were calculated, respectively. ROC curve was drawn, and the area under the ROC curve (AUC) was calculated. Results Sensitivity, specificity, accuracy and AUC of T2WI, DWI, DCE-MRI and mp-MRI based on PI-RADSv2 in diagnosis of peripheral PCa were as followed: 82.86% (29/35), 80.00% (48/60), 81.05% (77/95), 0.849; 77.14% (27/35), 88.33% (53/60), 84.21% (80/95), 0.866; 80.00% (28/35), 76.67% (46/60), 77.89% (74/95), 0.783; 88.57% (31/35), 78.33% (47/60), 82.11% (78/95), 0.881. Conclusion Multiparametric MRI based on PI-RADSv2 has important guiding significance in diagnosis of peripheral PCa by optimizing sequence combination.
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