钟鑫威,陈漪,岳博文,黎健辉,张浩,陈晓红,陈小凤,邓君良,侯文忠,杨志企.双源CT虚拟单能量成像鉴别诊断前列腺癌与前列腺增生[J].中国医学影像技术,2024,40(11):1749~1753
双源CT虚拟单能量成像鉴别诊断前列腺癌与前列腺增生
Dual-source CT virtual monoenergetic imaging for differentiating prostate cancer and benign prostatic hyperplasia
投稿时间:2024-05-31  修订日期:2024-09-10
DOI:10.13929/j.issn.1003-3289.2024.11.024
中文关键词:  前列腺肿瘤  前列腺增生  体层摄影术,X线计算机  诊断,鉴别
英文关键词:prostatic neoplasms  prostatic hyperplasia  tomography, X-ray computed  diagnosis, differential
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作者单位E-mail
钟鑫威 汕头大学医学院梅州临床学院 梅州市人民医院放射科, 广东 梅州 514031  
陈漪 汕头大学医学院梅州临床学院 梅州市人民医院放射科, 广东 梅州 514031  
岳博文 汕头大学医学院梅州临床学院 梅州市人民医院放射科, 广东 梅州 514031  
黎健辉 汕头大学医学院梅州临床学院 梅州市人民医院放射科, 广东 梅州 514031  
张浩 汕头大学医学院梅州临床学院 梅州市人民医院放射科, 广东 梅州 514031  
陈晓红 汕头大学医学院梅州临床学院 梅州市人民医院放射科, 广东 梅州 514031  
陈小凤 汕头大学医学院梅州临床学院 梅州市人民医院放射科, 广东 梅州 514031  
邓君良 汕头大学医学院梅州临床学院 梅州市人民医院放射科, 广东 梅州 514031  
侯文忠 汕头大学医学院梅州临床学院 梅州市人民医院放射科, 广东 梅州 514031  
杨志企 汕头大学医学院梅州临床学院 梅州市人民医院放射科, 广东 梅州 514031 y13643090854@163.com 
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中文摘要:
      目的 观察双源CT (DECT)虚拟单能量成像(VMI)鉴别诊断前列腺癌(PC)与良性前列腺增生(BPH)的价值。方法 回顾性纳入33例PC (PC组)及44例BPH (BPH组),分别基于动脉期DECT图像重建40~100 keV (间隔10 keV) VMI图;比较2组临床资料、不同能级VMI与动脉期常规线性融合图中的病灶CT值及对比度噪声比(CNR);分别基于组间差异有统计学意义的临床资料、CNR最高能级下VMI病灶CT值及动脉期常规线性融合图所示病灶CT值构建二元logistic回归模型,以受试者工作特征曲线下面积(AUC)评估各模型鉴别PC与BPH的效能。结果 PC组游离前列腺特异性抗原(f-PSA)、总前列腺特异性抗原(t-PSA)、40~100 keV VMI及动脉期常规线性融合图中病灶CT值及CNR均高于,而病灶短径小于BPH组(P均<0.05)。分别基于f-PSA、t-PSA、病灶短径、40 keV VMI图中的病灶CT值及动脉期常规线性融合图中的病灶CT值构建的模型鉴别PC与BPH的AUC依次为0.879、0.902、0.701、0.911及0.857。结论 DECT VMI可作为前列腺疾病的补充检查方式;40 keV VMI鉴别诊断PC与BPH的效能最高。
英文摘要:
      Objective To observe the value of dual-source CT (DECT) virtual monoenergetic imaging (VMI) for differentiating prostate cancer (PC) and benign prostatic hyperplasia (BPH). Methods Thirty-three patients with PC (PC group) and 44 patients with BPH (BPH group) were retrospectively enrolled, and 40—100 keV (with 10 keV interval) VMI were reconstructed based on arterial phase DECT images, respectively. Clinical data, focal CT value and contrast-to-noise ratio (CNR) of VMI with different energy levels and conventional linear fusion images of arterial phase were compared between groups. Binary logistic regression models were constructed based on clinical data being significantly different between groups, focal CT value of VMI with energy level with the highest CNR, also focal CT value of conventional linear fusion images of arterial phase, respectively. The area under the receiver operating characteristic curve (AUC) was calculated to evaluate the efficacy of each model for differentiating PC and BPH. Results Free prostate-specific antigen (f-PSA), total prostate-specific antigen (t-PSA), focal CT value of 40—100 keV VMI and conventional linear fusion images of arterial phase in PC group were all higher, while short diameter in PC group was smaller than those in BPH group (all P<0.05). Logistic regression models were constructed based on f-PSA, t-PSA, short diameter, CT value at 40 keV VMI and CT value at conventional linear fusion images of arterial phase, respectively, with AUC for differentiating PC and BPH of 0.879, 0.902, 0.701, 0.911 and 0.857, respectively. Conclusion DECT VMI could be used as a supplementary examination for prostate diseases, and 40 keV VMI had the best efficacy for differentiating PC and BPH.
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