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计算机化DWI在前列腺良恶性病变的应用价值 被引量:3

A Pilot Study of Computed Diffusion-Weighted Imaging in Benign and Malignant Prostate Disease
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摘要 目的初步探讨计算机化扩散加权成像(c DWI)在前列腺良恶性病变中的诊断价值。方法纳入前列腺特异性抗原(PSA)筛查异常的59例患者,以3.0 T磁共振行前列腺DWI(b=0,800)扫描,计算c DWI(b=1400)。测量DWI 800和c DWI 1400的病灶对比度CR 800和CR 1400,以配对t检验分别比较DWI 800和c DWI 1400的对比度。由2名医师以方案A(T_2WI+DWI 800)、方案B(T2WI+c DWI 1400)对所有患者进行回顾性诊断,诊断结果以受试者工作特征曲线(ROC)进行诊断效能分析。结果 59例中29例为前列腺癌,30例为前列腺良性病变。癌组CR 1400显著高于CR 800,差异有统计学意义。ROC分析显示方案A的曲线下面积(AUC)为0.795,方案B的AUC为0.964,方案B诊断效能显著优于方案A。结论 c DWI 1400可显著提高前列腺癌灶的对比度,其诊断效能优于常规DWI 800。 Objective To evaluate the value of computed diffusion-weighted imaging (cDWI, b = 1400 ) which was calculated from DWI (b = 0,800) in the diagnosis of prostate disease. Methods MR imaging including DWI800, and DCE-MR was performed using a 3.0 T MR scanner in 59 cases. CDWII400 was automatically calculated from DWI800. Contrast ratios (CR) 800 and CR1400 from DWI800 and cDWI1400 were measured. The paired t test was used to compare the CR800 and CR1400. Two combinations of images, protocol A (T2WI + DWI800) and B (T2WI + cDWI1400) , were assessed for their diagnostic capability by use of receiver operating characteristic curve (ROC). Diagnosis was confirmed by histopathology. Results Twenty-nine of the 59 cases were confirmed to be cancerous, and 30 of 59 cases were noncan- cerous. The CR1400 was significantly higher than CR800 in the cancerous group ( P 〈 0. 001 ). Areas under the receiver operating characteristic curve ( AUC ) of protocol A was 0. 795, protocol B was 0. 964. Protocol B has a higher diagnostic power than protocol A. Conclusion cDWI1400 appears to be more effective than DWI800 in the detection and diagnosis of prostate cancer; the diagnostic efficiency improved significantly.
作者 赵莲萍 张文文 高鹏 周星 黄刚 ZHAO Lianping ZHANG Wenwen GAO Peng et al(Department of Radiology, Gansu Provincial Hospital, Gansu 730000, P. R. Chin)
出处 《临床放射学杂志》 CSCD 北大核心 2016年第11期1698-1701,共4页 Journal of Clinical Radiology
关键词 前列腺癌 计算机化 高b值 扩散加权成像 Prostate cancer Computed diffusion-weighted imaging Diffusion-weighted MRI
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