Zelhof Bashar, Lowry Martin, Rodrigues Greta, Kraus Sigurd, Turnbull Lindsay
Centre for MR Investigations, University of Hull, and Department of Pathology, Hull & East Yorkshire NHS Trust, Castle Hill Hospital, Hull, Yorks, UK.
BJU Int. 2009 Sep;104(5):621-7. doi: 10.1111/j.1464-410X.2009.08457.x. Epub 2009 Mar 5.
To assess the use of a semiquantitative analysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) to produce indices for enhancement curves that might enable differentiation between malignant prostatic lesions and normal peripheral zone (PZ).
Fifty-two patients scheduled for radical prostatectomy underwent DCE-MRI before surgery using a 3 T scanner. The DCE images were used to generate variables from changes in signal intensity for pathologically confirmed malignant areas and the normal PZ, using whole-mounted pathology specimens as a reference to delineate regions of interest (ROI). These variables included maximum enhancement index (MaxEI), time to MaxEI at 30 s, the initial and final slopes of signal intensity change, and the area under curve. A threshold value for each DCE variable was identified, and the sensitivity and specificity were obtained.
Malignant lesions had a 56% higher MaxEI than normal PZ and took half the time to reach MaxEI (P<0.001). Hence, at 30 s, cancer lesions have double the mean (sd) EI than normal PZ, of 2.22 (1.04) vs 1.04 (0.51), respectively. Tumours showed significant washout of contrast medium, which was reflected in the final slope of the curve being negative, as opposed to positive for normal PZ. The combined data of DCE variables, using a logistic regression test, gave a mean (95% confidence interval) sensitivity and specificity of 89 (81-96)% and 90 (83-97)%, respectively.
This technique provides good discrimination of malignant lesions that might enable accurate localisation of the lesion. It is a simple, semiquantitive, noninvasive method that reflects the unusual vascular characteristics of newly formed microvessels and the changes in the interstitium that occur in prostate cancer.
评估动态对比增强(DCE)磁共振成像(MRI)的半定量分析用于生成增强曲线指标,以区分前列腺恶性病变与正常外周带(PZ)的可行性。
52例计划行根治性前列腺切除术的患者在术前使用3T扫描仪进行了DCE-MRI检查。以完整病理标本为参考来划定感兴趣区域(ROI),利用DCE图像从病理证实的恶性区域和正常PZ的信号强度变化中生成变量。这些变量包括最大增强指数(MaxEI)、30秒时达到MaxEI的时间、信号强度变化的初始和最终斜率以及曲线下面积。确定每个DCE变量的阈值,并得出敏感性和特异性。
恶性病变的MaxEI比正常PZ高56%,达到MaxEI的时间仅为正常PZ的一半(P<0.001)。因此,在30秒时,癌灶的平均(标准差)EI是正常PZ的两倍,分别为2.22(1.04)和1.04(0.51)。肿瘤表现出造影剂的明显廓清,这反映在曲线的最终斜率为负,而正常PZ为正。使用逻辑回归检验对DCE变量的综合数据进行分析,得出平均(95%置信区间)敏感性和特异性分别为89(81-96)%和90(83-97)%。
该技术能够很好地区分恶性病变,有助于准确确定病变位置。它是一种简单、半定量、非侵入性的方法,反映了前列腺癌中新形成微血管的异常血管特征以及间质的变化。