| 熊青青,牛翔科,高月琴,张仕慧,彭涛.动态增强MRI鉴别诊断前列腺中央腺体T2WI低信号病变[J].中国医学影像技术,2018,34(7):1063~1067 |
| 动态增强MRI鉴别诊断前列腺中央腺体T2WI低信号病变 |
| Dynamic contrast-enhanced MRI in differential diagnosis of T2WI low signal lesions in central gland of prostate |
| 投稿时间：2017-09-07 修订日期：2018-03-26 |
| DOI：10.13929/j.1003-3289.201709042 |
| 中文关键词: 前列腺肿瘤 前列腺增生 动态增强 磁共振成像 |
| 英文关键词:Prostate neoplasms Prostate hyperplasia Dynamic enhancement Magnetic resonance imaging |
| 基金项目:成都市卫生和计划生育委员会医学科研课题（2015080）、四川省卫生和计划生育委员会科研课题普及及应用项目（17PJ430）。 |
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| 中文摘要: |
| 目的 观察动态增强MRI （DCE-MRI）定量及半定量参数鉴别诊断前列腺中央腺体T2WI低信号病变的价值。方法 收集59例存在前列腺中央腺体T2WI低信号病变患者，其中前列腺癌患者32例（前列腺癌组），前列腺增生伴慢性炎症患者15例（增生伴慢性炎症组），高级别上皮内瘤变（HGPIN）患者12例（HGPIN组），测量并比较其DCE-MRI定量及半定量参数：容积转运常数（Ktrans）、速率常数（Kep）、血管外细胞外容积分数（Ve）、对比剂血浆容积（Vp）、达峰时间（TTP）、最大浓度（Concmax）、最大斜率（Slopemax）和时间-浓度曲线下面积（AUTC），绘制ROC曲线，分析各参数诊断前列腺癌的效能。结果 前列腺癌组、增生伴慢性炎症组与HGPIN组间Ktrans、Kep、Ve、Vp、TTP及Slopemax差异均有统计学意义（P均<0.05），其中前列腺癌组与HGPIN组间Ktrans、Kep、Ve、Slopemax及TTP差异均有统计学意义（P均<0.05），前列腺癌组与增生伴慢性炎症组间Vp及TTP差异有统计学意义（P均<0.05），HGPIN组与增生伴慢性炎症组间Ktrans、Kep、Vp及TTP差异均有统计学意义（P均<0.05）。ROC曲线显示TTP、Ktrans及Kep值诊断前列腺癌的曲线下面积（AUC）分别为0.743、0.735和0.721，两两比较差异均无统计学意义（P均>0.05），但均大于Ve值诊断前列腺癌的AUC （P均<0.05）。结论 DCE-MRI参数TTP、Ktrans和Kep可于前列腺中央腺体T2WI低信号病变中有效鉴别诊断前列腺癌。 |
| 英文摘要: |
| Objective To explore the value of dynamic contrast-enhanced MRI (DCE-MRI) quantitative and semi-quantitative parameters in differential diagnosis of T2WI low signal lesions in central gland of prostate.Methods A total of 59 patients with low T2WI lesions in central gland of prostate were collected, including 32 patients of prostate cancer (prostate cancer group), 15 patients of hyperplasia associated with chronic inflammation (hyperplasia with chronic inflammation group) and 12 patients of high-grade intraepithelial neoplasia (HGPIN, HGPIN group). DCE-MRI quantitative and semi-quantitative parameters were measured and compared, including volume transfer constant (Ktrans), rate constant (Kep), extravascular extracellular volume fraction (Ve), plasma volume of contrast agent (Vp), time to peak (TTP), maximum concentration (Concmax), maximum slope (Slopemax) and area under the time concentration curve (AUTC). The ROC curve was used to analyze the efficacy of each parameter in diagnosis of prostate cancer.Results Ktrans, Kep, Ve, Vp, TTP and Slopemaxvalue were statistically different among three groups (all P<0.05). Ktrans, Kep, Ve, Slopemax and TTP values were significantly different between prostate cancer group and HGPIN group. Vp and TTP values were significantly different between prostate cancer group and hyperplasia with chronic inflammation group. Ktrans, Kep, Vp and TTP values were significantly different between HGPIN group and hyperplasia with chronic inflammation group. ROC curve showed that the area under the curve (AUC) of TTP, Ktrans and Kep values (0.743, 0.735 and 0.721) was larger than that of Vevalue (all P<0.05), respectively. But there was no statistical difference between each of them (all P>0.05).Conclusion The parameters TTP, Ktrans and Kep of DCE-MRI can effectively differentiate prostate cancer from other T2WI hypointense lesions in the central gland of prostate. |
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