中国癌症杂志 ›› 2019, Vol. 29 ›› Issue (8): 583-589.doi: 10.19401/j.cnki.1007-3639.2019.08.004

• 论著 • 上一篇    下一篇

DWI单、双指数模型对中央腺体前列腺癌及良性前列腺增生的鉴别诊断价值

陈 阳 1 ,阳青松 2 ,陆建平 2   

  1. 1. 复旦大学附属肿瘤医院放射诊断科,复旦大学上海医学院肿瘤学系,上海 200032 ;
    2. 海军军医大学(第二军医大学)长海医院影像科,上海 200433
  • 出版日期:2019-08-30 发布日期:2019-09-29
  • 通信作者: 陆建平 E-mail: cjr.lujianping@vip.163.com
  • 基金资助:
    上海市卫生和计划生育委员会项目(M20140149)。

Differentiation of central gland prostate cancer from benign prostatic hyperplasia by using monoexponential and biexponential DWI models

CHEN Yang 1 , YANG Qingsong 2 , LU Jianping 2   

  1. 1. Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China; 2. Department of Radiology, Changhai Hospital, Naval Medical University, Second Military Medical University, Shanghai 200433, China
  • Published:2019-08-30 Online:2019-09-29
  • Contact: LU Jianping E-mail: cjr.lujianping@vip.163.com

摘要: 背景与目的:鉴别中央腺体前列腺癌(central gland prostate cancer, CGPCa)与良性前列腺增生(benign prostatic hyperplasia, BPH)一直是临床工作的难点之一,传统的检查方法不能很好地区分两者。弥散加权成像(diffusion weighted imaging,DWI)单、双指数模型可以定量反映组织弥散及血流灌注信息。探究DWI单、双指数模型定量参数(单指数:ADC total ,双指数:ADC slow 、ADC fastf值)对CGPCa与BPH的鉴别诊断价值。方法:回顾性分析在海军军医大学(第二军医大学)长海医院经前列腺穿刺病理学检查证实的36例CGPCa、48例BPH[25例基质型增生(stromal hyperplasia,SH)和23例腺体型增生(glandular hyperplasia,GH)]患者的MRI检查及临床资料。MRI检查包含多b值(0、50、100、150、200、500、800、1 000、1 500、2 000 s/mm 2 )DWI扫描。在DWI图像上画取感兴趣区(region of interest,ROI),获得CGPCa、SH及GH患者ADC total 、ADC slow 、ADC fast 及f值。采用方差分析、LSD-t检验比较各参数差异性,受试者工作特征(receiver operating characteristic,ROC)曲线分析各参数鉴别CGPCa与BPH的效能,并比较ROC曲线的曲线下面积的差异。结果:3组病理类型两两之间ADC total 和ADC slow 差异均有统计学意义(P<0.000 1)。CGPCa与SH之间f值差异有统计学意义(P=0.002);CGPCa与GH、GH与SH之间f值差异无统计学意义(P=0.053、P=0.201)。3组病理类型ADC fast 差异无统计学意义(P=0.685)。在CGPCa与BPH鉴别诊断中,ADC total 、ADC slow ROC曲线的曲线下面积均为0.998,诊断效能均较高。f值ROC曲线的曲线下面积为0.674,显著小于ADC total 、ADC slowP<0.000 1),诊断效能较低。结论:DWI单指数模型参数ADC total 、双指数模型参数ADC slow 均可以反映组织内细胞结构附近的水分子弥散情况,对鉴别CGPCa与BPH具有较大价值。

关键词: 中央腺体前列腺癌, 基质型增生, 腺体型增生, 弥散加权成像, 表观扩散系数

Abstract: Background and purpose: Differentiating central gland prostate cancer (CGPCa) from benign prostatic hyperplasia (BPH) has always been one of the difficult clinical problems. Traditional examination methods can not be used to distinguish them well. Monoexponential and biexponential diffusion weighted imaging (DWI) models can quantitatively reflect the information of tissue diffusion and blood perfusion. This study aimed to investigate the value of parameters derived from monoexponential and biexponential DWI models (parameter derived from monoexponential DWI: ADC total ; parameters derived from biexponential DWI: ADC slow , ADC fast and f) for distinguishing CGPCa from BPH. Methods: We retrospectively analyzed the megnatic resonance imaging (MRI) and clinical data of 36 patients with CGPCa and 48 patients with BPH [25 patients with stromal hyperplasia (SH) and 23 patients with glandular hyperplasia (GH)]proved by prostate biopsy at Changhai Hospital, Naval Medical University, Second Military Medical University. MRI examinations included multiple-b-value (0, 50, 100, 150, 200, 500, 800, 1 000, 1 500, 2 000 s/mm 2 ) DWI. Drawing the region of interest (ROI), we could measure the values of ADC total , ADC slow , ADC fast and f value for the three pathological types. ANOVA and LSD-t test were used to compare the differences of the parameters. By using the receiver operating characteristic (ROC) curves, the diagnostic performances of these parameters were calculated in differentiating CGPCa from BPH. Results: Among the three groups, there were significant differences in both ADC total and ADC slow (P<0.000 1), while there was no difference in ADC fast (P=0.685). There was significant difference in f value between CGPCa and SH (P=0.002) only. In differentiating CGPCa from BPH, the areas under the ROC curves for ADC total and ADC slow were the same (0.998), and the diagnostic performances of ADC total and ADC slow were high. The areas under the ROC curve for f value was 0.674. There were significant differences in the areas under the ROC curves between ADC total , ADC slow and f value (P<0.000 1). Conclusion: Parameters derived from monoexponential DWI (ADC total ) and biexponential DWI (ADC slow ) both can reflect the diffusion of water molecules near the cell structure in tissues, which are of great value in distinguishing CGPCa from BPH.

Key words: Central gland prostate cancer, Stromal hyperplasia, Glandular hyperplasia, Diffusion weighted imaging, ADC