Wang Xi Zhen, Wang Bin, Gao Zhi Qin, Liu Jin Gang, Liu Zuo Qin, Niu Qing Liang, Sun Zhen Kui, Yuan Yu Xiao
Department of Radiology, Weifang Medical University, Weifang, People's Republic of China.
J Magn Reson Imaging. 2009 Jun;29(6):1360-6. doi: 10.1002/jmri.21797.
To investigate whether the apparent diffusion coefficient (ADC) values of prostate cancer (PCa) are able to reflect tumor proliferation.
The clinical and pathological information for 38 patients with PCa and 33 patients with benign prostate hyperplasia (BPH) were studied. Examination of the patients was performed using a 1.5 T superconducting magnetic scanner equipped with a pelvic phased-array multicoil. Diffusion-weighted images (DWIs) were acquired using an echo-planar imaging sequence. The ADC values of PCa, BPH, and peripheral zone (PZ) were calculated. The cellularity of PCa was recorded based on hematoxylin and eosin staining. The proliferating cell nuclear antigen (PCNA) was detected using an immunohistochemical technique.
The ADC values of PCa, BPH, and PZ were 49.32 +/- 12.68 x 10(-5) mm(2)/s, 86.73 +/- 26.75 x 10(-5) mm(2)/s, and 126.25 +/- 27.21 x 10(-5) mm(2)/s, respectively. The ADC values of PCa were lower than those of BPH and PZ (P < 0.05). The cellularity and PCNA labeling index (LI) of PCa were higher than those of BPH (P < 0.05). The ADC values of PCa were negatively correlated with those of cellularity and PCNA LI (r = -0.646 and -0.446, respectively; P < 0.05).
The ADC values of PCa can reveal the differences in proliferative activity between PCa and BPH. These values are therefore able to predict the proliferative rate of variously differentiated prostate cancers.
探讨前列腺癌(PCa)的表观扩散系数(ADC)值是否能够反映肿瘤增殖情况。
研究了38例PCa患者和33例良性前列腺增生(BPH)患者的临床及病理信息。使用配备盆腔相控阵多线圈的1.5T超导磁扫描仪对患者进行检查。采用回波平面成像序列采集扩散加权成像(DWI)。计算PCa、BPH及外周带(PZ)的ADC值。基于苏木精和伊红染色记录PCa的细胞密度。采用免疫组织化学技术检测增殖细胞核抗原(PCNA)。
PCa、BPH及PZ的ADC值分别为49.32±12.68×10⁻⁵mm²/s、86.73±26.75×10⁻⁵mm²/s和126.25±27.21×10⁻⁵mm²/s。PCa的ADC值低于BPH和PZ(P<0.05)。PCa的细胞密度和PCNA标记指数(LI)高于BPH(P<0.05)。PCa的ADC值与细胞密度和PCNA LI呈负相关(r分别为-0.646和-0.446;P<0.05)。
PCa的ADC值能够揭示PCa与BPH之间增殖活性的差异。因此,这些值能够预测不同分化程度前列腺癌的增殖率。