-
摘要: 目的：评估全病灶表观弥散系数（ADC）图像的熵值对前列腺癌（PCa）的临床诊断价值及效能。方法：选取我院2017年8月—2020年1月接受经直肠超声与磁共振融合成像（TURS-MRI）靶向前列腺穿刺的并取得病理报告的110例患者作为研究对象，分为前列腺癌组和前列腺增生组。首先，所有患者穿刺前行多参数磁共振（mp-MRI）检查，并结合T2图像、扩散加权成像（DWI）和DCE图像以确定病灶大小及层面；其次，根据ADC图像对所有病灶进行勾画并计算其ADC熵值；再次，利用独立样本t检验评价两组患者的熵值差异是否显著；最后，采用受试者操作特征曲线（ROC）计算曲线下面积（AUC）来评定ADC熵值的效能。结果：前列腺增生组患者和前列腺癌组患者的全病灶ADC熵值比较差异有统计学意义（P<0.01）；ROC曲线下面积为90.20%，前列腺癌诊断的截点值为6.23。结论：全病灶ADC熵值的诊断效能较高，也即全病灶ADC熵值对前列腺癌的诊断具有一定的价值，可为临床诊治提供帮助。Abstract: Objective: To appraise the influence of whole-lesion ADC entropy in the diagnosis of PCa.Methods: A total of 110 patients who received TURS-MRI targeted prostate biopsy, and obtained pathological reports in our hospital from August 2017 to January 2020 were elected as study subjects, and were divided into PCa group and BPH group. Firstly, mp-MRI was performed in all patients before biopsy, and combined with T2 images, diffusion-weighted imaging(DWI) and DCE images to determine the lesion size and level. Secondly, all lesions were sketched based on ADC images and their ADC entropy was calculated. Thirdly, t-test was used to appraise whether the ADC entropy difference between the two groups was significant. Finally, the AUC of ROC was calculated to evaluate ADC entropy effectiveness.Results: The difference of ADC entropy between BPH group and PCa group was statistically significant(P<0.01). ROC curve analysis showed that the AUC was 90.20%, and the cut-off value of PCa diagnosis was 6.23.Conclusion: The diagnostic performance of whole-lesion ADC entropy is relatively high. In other words, the whole-lesion ADC entropy has a resultful value in the diagnosis of PCa, which can provide help for clinical diagnosis and treatment.
-
-
[1] Siegel RL, Miller KD, Jemal A.Cancer statistics, 2018[J].CA Cancer J Clin, 2018, 68(1):7-30.
[2] Bray F, Ferlay J, Soerjomataram I, et al.Global cancer statistics 2018:GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J].CA Cancer J Clin, 2018, 68(6):394-424.
[3] Shiota M, Yokomizo A, Takeuchi A, et al.Co introduction of a steroid with docetaxel chemotherapy for metastatic castration resistant prostate cancer affects PSA flare[J].BJU Int, 2016, 118(6):880-884.
[4] 马坦途, 李庆文, 刘贝贝, 等.外周血和组织炎性细胞在鉴别PSA 4-10 ng/ml的前列腺癌和前列腺增生中的临床意义[J].临床泌尿外科杂志, 2019, 34(6):434-437, 440.
[5] George AK, Turkbey B, Valayil SG, et al.A urologist's perspective on prostate cancer imaging:past, present, and future[J].Abdom Radiol(NY), 2016, 41(5):805-816.
[6] 马玉梅.磁共振在前列腺癌和前列腺增生鉴别诊断中的应用价值分析[J].影像研究与医学应用, 2018, 2(15):138-139.
[7] 闫厚煜, 邢金春, 张开颜, 等.前列腺癌的早期诊断研究进展[J].临床泌尿外科杂志, 2020, 35(3):242-246.
[8] Hassanzadeh E, Glazer DI, Dunne RM, et al.Prostate imaging reporting and data system version 2(PI-RADS v2):a pictorial review[J].Abdom Radiol(NY), 2017, 42(1):278-289.
[9] Kozikowski M, Dobruch J.Multiparametric MRI of the prostate:the hope for the urology community[J].Cent Eu-ropean J Urol, 2016, 69(1):19-21.
[10] Manetta R, Palumbo P, Gianneramo C, et al.Correlation between ADC values and Gleason score in evaluation of prostate cancer:multicentre experience and review of the literature[J].Gland Surg, 2019, 8(Suppl 3):S216-S222.
[11] Ma XZ, Lv K, Sheng JL, et al.Application evaluation of DCE-MRI combined with quantitative analysis of DWI for the diagnosis of prostate cancer[J].Oncol Lett, 2019, 17(3):3077-3084.
[12] Giambelluca D, Cannella R, Vernuccio F, et al.PI-RADS 3 Lesions:Role of Prostate MRI Texture Analysis in the Identification of Prostate Cancer[J].Curr Probl Diagn Radiol, 2019, 14(7):S0363-0188.
[13] Amano Y, Woo J, Amano M, et al.MRI texture analysis of back-ground parenchymal enhancement of the breast[J].Biomed Res Int, 2017, 2017:1-9.
[14] Patel N, Henry A, Scarsbrook A.The value of MR textural analysis in prostate cancer[J].Clin Radiol, 2019, 74(11):876-885.
-
计量
- 文章访问数: 344
- PDF下载数: 163
- 施引文献: 0
下载: