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| Quantitative Analysis of Ultrasound Elastography and Clinical Staging of Prostate Cancer |
| LU Congqing |
| First People's Hospital of Lianyungang City Affiliated to Xuzhou Medical College, Jiangsu Haian 226600, China |
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Abstract Objective: To quantitatively analyze the parameters of ultrasound elastography (UE) of prostate cancer (PCa) and explore its application value in clinical staging of PCa. Methods: 84 cases of patients with PCa in our hospital from December 2016 to May 2018 were given transrectal real time elastography (TRTE) and given the quantitative analysis of elasticity scoring, elastic area ratio (AR), elastic strain rate ratio (SR) and elastography strain index (SI). And the relationship between each parameter and pathological grade and clinical staging of PCa was studied. Results: Among 168 patients with PCa, 61 cases were highly differentiated (36.31%), and 73 cases were moderately differentiated (43.45%) and 34 cases were poorly differentiated (20.24%), and the clinical staging showed 12 cases (7.14%) in T1 stage, 46 cases (27.38 %) in T2 stage, 83 cases (49.40%) in T3 stage and 27 cases (16.07%) in T4 stage, and there were statistically significant differences in the TRTE hardness scores in patients with different pathological grades and clinical stages (P<0.05). With the increase of PCa differentiation degree, the SR and ASI were significantly increased (P<0.05), and the difference was statistically significant in the groups (P<0.05). The AR, SR and ASI at T1~T4 of PCa patients were significantly increased (P<0.05), and the SR and ASI at T2 stage were higher than those at T1 stage, and there were statistically significant differences in the AR, SR and ASI at T2~T4 (P<0.05). After Spearman correlation coefficient analysis, TRTE elasticity score, SR and ASI were significantly positively correlated with PCa pathological grade (P<0.05), and elasticity score, AR, SR and ASI were positively correlated with PCa clinical staging (P<0.05). Conclusion: Quantitative analysis results of UE image elasticity score, AR, SR and AI have important guiding significance for PCa clinical staging and treatment.
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[1] 朱华,程震,杨志.核医学分子探针在前列腺癌诊断中的临床研究进展[J].中华核医学与分子影像杂志,2017,37(2):103~107.
[2] Zheng Y,Yuan H,Gong C,et al.Developing a new score system for patients with PSA ranging from 4 to 20 ng/mL to improve the accuracy of PCa detection[J].Springerplus,2016,5(1):1484.
[3] 纪岩磊,韩真,马恒敏,等.超声弹性成像对乳腺癌腋窝淋巴结诊断价值的探讨[J].中华肿瘤防治杂志,2016,23(16):1081~1084.
[4] 李建春,范小明,王力,等.经直肠超声弹性成像在前列腺癌诊断中的价值[J].中国老年学杂志,2017,37(10):2460~2461.
[5] 胡晓丹,肖蓉,杨昭晖.超声弹性成像应变率比值法与改良5分法在乳腺良恶性肿瘤中的诊断价值[J].中国医学影像学杂志,2016,24(12):900~902.
[6] 胡彦,徐超丽,杨斌.超声弹性成像定量参数对乳腺实性肿块的鉴别诊断分析[J].医学研究生学报,2016,29(8):836~840.
[7] 桂琦,许长宝.超声弹性成像技术在前列腺癌诊断中的价值[J].中华男科学杂志,2013,19(3):274~277.
[8] May F,Comhartung R,Breul J.The ability of the American joint committee on cancer staging system to predict progression-free survival after radical prostatectomy[J].Bju International,2015,88(7):702~707.
[9] Leapman MS,Cowan JE,Simko J,et al.Application of a prognostic gleason grade grouping system to assess distant prostate cancer outcomes[J].European Urology,2017,71(5):750~759.
[10] 欧冰,吴嘉仪,周薪传,等.多中心研究:弹性应变率比值对弹性评分法评估乳腺病灶良恶性的辅助价值探讨[J].中华超声影像学杂志,2017,51(10):867~871.
[11] 冯春芳.超声弹性成像对甲状腺恶性肿瘤的诊断价值研究[J].解放军医药杂志,2017,29(9):56~58.
[12] 杨思扬,杨一林,杨瑞静,等.经直肠弹性成像技术在直肠癌术前分期评估中的应用[J].中国超声医学杂志,2014,30(11):1020~1022. |
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2019, Vol. 25 
