| Bp-MRI灰度直方图在鉴别移行带前列腺癌与良性前列腺增生中的应用价值 |
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| 引用本文： | 白国杰,万业达.Bp-MRI灰度直方图在鉴别移行带前列腺癌与良性前列腺增生中的应用价值[J].天津医科大学学报,2021,0(1):47-51. |
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| 作者姓名： | 白国杰 万业达 |
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| 作者单位： | 1．天津医科大学研究生院，天津 300070；2．天津市天津医院放射科，天津300211 |
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| 摘 要： | 目的:探讨双参数磁共振成像（Bp-MRI）灰度直方图在鉴别移行带前列腺癌（PCa）与良性前列腺增生（BPH）中的价值。方法:回顾性分析经病理证实的移行带PCa患者43例与BPH患者52例。T2WI和ADC图像上，利用MaZda软件手动勾画感兴趣区（ROI），进行灰度直方图分析，提取均值、方差、偏度、峰度、百分位数9个直方图纹理特征，对纹理特征进行统计学分析，获得有意义的纹理特征参数，并绘制受试者工作特征（ROC）曲线，以评价其鉴别移行带PCa与BPH的价值。结果:BPH组ADC均值、偏度、各百分位数均高于PCa组，差异均有统计学意义（t=-12.155～5.022，均P<0.05），方差、峰度差异无统计学意义（均P>0.05）。BPH组T2WI均值、方差、第10百分位数、第50百分位数、第90百分位数、第99百分位数均高于PCa组，差异均有统计学意义（t=-6.618～-2.181，均P<0.05），偏度、峰度、第1百分位数差异均无统计学意义（均P>0.05）。ADC均值、偏度、第1百分位数、第10百分位数、第50百分位数、第90百分位数、第99百分位数曲线下面积（AUC）差异均有统计学意义（均P<0.05）；T2WI均值、方差、第10百分位数、第50百分位数、第90百分位数、第99百分位数AUC差异均有统计学意义（均P<0.05）。其中，ADC均值的AUC最大，为0.963，以149.29为阈值时，敏感度为90.7%，特异度为92.3%。结论:Bp-MRI灰度直方图分析可以作为鉴别PCa与BPH的重要辅助手段。
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| 关 键 词： | 灰度直方图 前列腺癌 前列腺增生 移行带 纹理分析 |
The value of Bp-MRI grayscale histogram in distinguishing prostate cancer from benign prostatic hyperplasia in transition zone |
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| BAI Guo-jie,WAN Ye-da.The value of Bp-MRI grayscale histogram in distinguishing prostate cancer from benign prostatic hyperplasia in transition zone[J].Journal of Tianjin Medical University,2021,0(1):47-51. |
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| Authors: | BAI Guo-jie WAN Ye-da |
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| Affiliation: | 1.Graduate School，Tianjin Medical University，Tianjin 300070，China；2. Department of Radiology, Tianjin Hospital，Tianjin 300211，China |
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| Abstract: | Objective: To explore the value of two-parameter magnetic resonance imaging（Bp-MRI） grayscale histogram in distinguishing prostate cancer（PCa） from benign prostatic hyperplasia（BPH） in transitional zone. Methods:A total of 43 patients with PCa and 52 patients with BPH confirmed by pathology were retrospective analyzed. On T2WI and ADC images, the region of interest（ROI） was manually drawn using MaZda software，grayscale histogram analysis was performed,mean，variance，skewness，kurtosis，percentile 9 histogram texture features were extracted.The texture features were statistically analyzed to obtain meaningful texture feature parameters，and the receiver operating characteristic curve（ROC） was drawn to evaluate the value of identifying the transition zone of PCa and BPH. Results: The mean，skewness，and percentiles of ADC in BPH were statistically significant higher than those in PCa（t=-12.155～5.022，all P<0.05），and there was no statistical difference in variance and kurtosis（all P>0.05）. T2WI mean，variance，10th percentile，50th percentile，９０th percentile，99th percentile in BPH were statistically significant higher than those in PCa（t=-6.618～-2.181，all P<0.05），and skewness，kurtosis，difference in 1 percentile was not statistically significant（all P>0.05）. The ADC mean，skewness，1st percentile，10th percentile，50th percentile，90th percentile，99th percentile of AUC differences were statistically significant（all P<0.05）；T2WI mean，variance，10th percentile，50th percentile，90th percentile，99th percentile of AUC differences were statistically significant（all P<0.05）. Among them，the average AUC of the ADC was the largest at 0.963. When 149.29 was used as the threshold，the sensitivity was 90.7% and the specificity was 92.3%.Conclusion:Bp-MRI grayscale histogram analysis can be used as an important auxiliary method to distinguish PCa and BPH. |
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| Keywords: | histogram prostate cancer benign prostatic hyperplasia transition zone texture analysis |
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