Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan.
Eur J Radiol. 2013 Aug;82(8):1219-26. doi: 10.1016/j.ejrad.2013.02.021. Epub 2013 Mar 19.
To investigate the usefulness of apparent diffusion coefficient (ADC) values in predicting true Gleason scores from radical prostatectomy specimen (tGS), compared with systematic transrectal ultrasound (TRUS)-guided biopsy GS (bGS).
One hundred and five patients with biopsy-proven prostate cancer underwent preoperative DWI (b-values of 0, 1000, and 2000s/mm(2)) of 3-T MRI. The mean and minimum ADCs of visible tumors were calculated for either of a pair of b-values: 0 and 1000s/mm(2) (ADC1000), or 0 and 2000s/mm(2) (ADC2000), and relationships between the four ADC parameters and tGS evaluated for the peripheral zone (PZ) and transition zone (TZ). For multiple tumors, the dominant tumor's GS and ADCs were estimated for cancer aggressiveness assessment by computing ROC curves.
Significant negative correlations were observed between tGS and mean ADC1000, mean ADC2000, minimum ADC1000, and minimum ADC2000 (r=-0.41, -0.39, -0.39, and -0.37, respectively) of 100 visible PZ tumors and 66 visible TZ tumors (r=-0.40, -0.42, -0.29, and -0.21, respectively). For distinguishing high-grade from low/intermediate-grade PZ lesions, the areas under the curve (AUCs) of mean ADC1000 (0.751), mean ADC2000 (0.710), minimum ADC1000 (0.768), and minimum ADC2000 (0.752) were similar to that of the highest bGS (0.708) (p=0.61, p=0.98, p=0.47, and p=0.60, respectively). For distinguishing high-grade from low/intermediate-grade TZ lesions, AUCs of mean ADC1000 (0.779), and mean ADC2000 (0.811) were similar to that of the highest bGS (0.805) (p=0.83 and p=0.97).
Tumor ADCs obtained with high b-values could predict prostate cancer aggressiveness as effectively as systematic TRUS-guided biopsy.
与系统经直肠超声(TRUS)引导的活检 GS(bGS)相比,研究表观扩散系数(ADC)值在预测根治性前列腺切除术后标本中的真实 Gleason 评分(tGS)方面的作用。
105 例经活检证实的前列腺癌患者接受了术前 3T MRI 的 DWI(b 值为 0、1000 和 2000s/mm²)。计算了可见肿瘤的平均 ADC 值和最小 ADC 值,这两个值分别是:b 值为 0 和 1000s/mm²(ADC1000),或者 b 值为 0 和 2000s/mm²(ADC2000)。评估了外周区(PZ)和移行区(TZ)中四个 ADC 参数与 tGS 的关系。对于多个肿瘤,通过计算 ROC 曲线,估计主导肿瘤的 GS 和 ADC 值,以评估癌症侵袭性。
在 100 个可见的 PZ 肿瘤和 66 个可见的 TZ 肿瘤中,观察到 tGS 与平均 ADC1000、平均 ADC2000、最小 ADC1000 和最小 ADC2000 之间存在显著负相关(r=-0.41、-0.39、-0.39 和-0.37)。对于区分高级别和低/中级别 PZ 病变,平均 ADC1000(0.751)、平均 ADC2000(0.710)、最小 ADC1000(0.768)和最小 ADC2000(0.752)的曲线下面积(AUCs)与最高 bGS(0.708)相似(p=0.61、p=0.98、p=0.47 和 p=0.60)。对于区分高级别和低/中级别 TZ 病变,平均 ADC1000(0.779)和平均 ADC2000(0.811)的 AUC 与最高 bGS(0.805)相似(p=0.83 和 p=0.97)。
使用高 b 值获得的肿瘤 ADC 值可有效地预测前列腺癌的侵袭性。