Study on Renal Perfusion in Chronic Kidney Disease by Semi-quantitative Analysis of Superb Micro-vascular Imaging and Color Doppler

Hong-min LIANG; Yong-ping LU; Min CHEN; Yuan YANG; Jian-fu CHEN; Wei-han CAO

doi:10.12259/j.issn.2095-610X.S20210212

Volume 42 Issue 2

Mar. 2021

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Hong-min LIANG, Yong-ping LU, Min CHEN, Yuan YANG, Jian-fu CHEN, Wei-han CAO. Study on Renal Perfusion in Chronic Kidney Disease by Semi-quantitative Analysis of Superb Micro-vascular Imaging and Color Doppler[J]. Journal of Kunming Medical University, 2021, 42(2): 38-42. doi: 10.12259/j.issn.2095-610X.S20210212

Citation:

Hong-min LIANG, Yong-ping LU, Min CHEN, Yuan YANG, Jian-fu CHEN, Wei-han CAO. Study on Renal Perfusion in Chronic Kidney Disease by Semi-quantitative Analysis of Superb Micro-vascular Imaging and Color Doppler[J]. Journal of Kunming Medical University, 2021, 42(2): 38-42. doi: 10.12259/j.issn.2095-610X.S20210212

Citation:

Hong-min LIANG, Yong-ping LU, Min CHEN, Yuan YANG, Jian-fu CHEN, Wei-han CAO. Study on Renal Perfusion in Chronic Kidney Disease by Semi-quantitative Analysis of Superb Micro-vascular Imaging and Color Doppler[J]. Journal of Kunming Medical University, 2021, 42(2): 38-42. doi: 10.12259/j.issn.2095-610X.S20210212

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Study on Renal Perfusion in Chronic Kidney Disease by Semi-quantitative Analysis of Superb Micro-vascular Imaging and Color Doppler

doi: 10.12259/j.issn.2095-610X.S20210212

1.
Dept. of Medical Ultrasound，The First Affiliated Hospital of Kunming Medical University，Kunming Yunnan 650032
2.
Dept. of Medical Ultrasound，The Fourth Affiliated Hospital of Kunming Medical University，the Second Hospital of Yunnan Province，Kunming Yunnan 650021，China

Received Date: 2020-11-06
Publish Date: 2021-03-05

Abstract

Abstract

Objective To exlpore the application value of Color Doppler Flow Imaging （CDFI） and superb microvascular imaging （SMI） combined with self-defined scoring in the evaluation of renal perfusion in chronic kidney disease （CKD）. Methods CDFI and SMI were used to observe the renal perfusion conditions of the case group and the control group, the blood perfusion scores were obtained by using the self-defined scoring criteria. The case group was 158 patients with CKD diagnosed, and was divided into CKD1-5 stages according to the diagnostic criteria of GFR. The control group was 200 patients with normal bilateral kidneys. Results CDFI and SMI scores were compared within the group, the control group, CKD1, CKD5 were not statistically significant （P > 0.05）, CKD2, CKD3, CKD4 were statistically significant （P < 0.05）. There was no significant difference in CDFI scores between the control group and CKD1, CKD1 and CKD2, CKD4 and CKD5 （P > 0.05）, but there were significant differences in the other groups （P < 0.05）. There was no significant difference in SMI scores between the control group and CKD1, CKD4 and CKD5 （P > 0.05）, but there were significant differences in the other groups （P < 0.05）. Conclusion The self-defined scoring method can be used for semi-quantitative evaluation of renal blood perfusion. SMI can identify the blood perfusion of early CKD lesions. The combination of the two methods is helpful to evaluate the degree of CKD lesions and the therapeutic effect.
- Chronic kidney disease,
- Kidney,
- Color doppler imaging,
- Superb micro-vascular imaging

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References(16)

References

[1]	National Kidney Foundation. K/DODI clinical practice guidelines for chronic kidney disease: evaluation,classification and stratification[J]. AmJ Kidney Dis,2002,39(S1):S1-S246.
[2]	Shi Z,Zhou P,Zhang C. Prevalence of chronic kidney disease in China[J]. Lancet,2012,380(9838):214-216.
[3]	范亚娟. 彩色多普勒超声在诊断急慢性肾脏弥漫性病变中的临床价值[J]. 慢性病学杂志,2017,18(7):805-807.
[4]	Tsuruoka K,Yasuda T,Koitabashi K,et al. Evaluation of renal microcirculation by contrast-enhanced ultrasound with sonazoid as acontrast agent[J]. Int Heart J,2010,51(3):176-182. doi: 10.1536/ihj.51.176
[5]	田雅菊. 彩色超声多普勒评价慢性肾功能不全肾内血流动力学改变[J]. 中国实用医药,2015,10(31):58-59.
[6]	Levey A S,Eckardt K U,Dorman N M,et al. Nomenclature for kidney function and disease: report of a kidney disease: Improving global outcomes (KDIGO) consensus conference[J]. Kidney Int,2020,97(6):1117-1129. doi: 10.1016/j.kint.2020.02.010
[7]	Zhao Y F,Zhou P,Liu W G. Application of a novel micro-vascular imaging technique in breast lesion evaluation[J]. Ultrasound Med Biol,2016,42(9):2097-2105. doi: 10.1016/j.ultrasmedbio.2016.05.010
[8]	PetrucciI,Clementi A,Sessa C,et al. Ultrasound and color doppler applications in chronic kidney disease[J]. J Nephrol,2018,31(6):863-879. doi: 10.1007/s40620-018-0531-1
[9]	张志国,吴文海,李舒琪,等. 腱鞘巨细胞瘤的临床病理学及影像学分析[J]. 中国医疗设备,2015,30(2):44-48. doi: 10.3969/j.issn.1674-1633.2015.02.011
[10]	杨广辉,孙海燕,赵颖. SMI评估TI-RADS 4级甲状腺结节内穿支血管的临床价值分析[J]. 中国超声医学杂志,2019,35(8):684-687. doi: 10.3969/j.issn.1002-0101.2019.08.005
[11]	Ryoo Inseon,Suh Sangil,Lee Young Hen,et al. Vascular pattern analysis on microvascular sonography for differentiation of pleomorphic adenomas and warthin tumors of salivary glands[J]. Journal of Ultrasound in Medicine,2018,37(3):613-620. doi: 10.1002/jum.14368
[12]	赵梦婷,王红春,李柔萱,等. 超微血流显像评价颈动脉斑块内新生血管及预测脑卒中的应用价值[J]. 河北医药,2019,41(15):2300-2303. doi: 10.3969/j.issn.1002-7386.2019.15.014
[13]	张蕾,朱俊明,李亮,等. 超微血流成像技术评估腹主动脉夹层患者分支动脉受累的临床价值[J]. 中华超声影像学杂志,2019,28(6):474-479. doi: 10.3760/cma.j.issn.1004‐4477.2019.06.003
[14]	Mu J,Mao Y,Li F,et al. Superb microvascular imaging is a rational choice for accurate bosniak classification of renal cystic masses[J]. Br J Radiol,2019,92(1099):20181038. doi: 10.1259/bjr.20181038
[15]	马晴,徐垚,李红丽,等. 超声造影技术对慢性肾脏病患者长期预后的预测价值[J]. 中华肾脏病杂志,2017,33(3):180-186. doi: 10.3760/cma.j.issn.1001-7097.2017.03.004
[16]	涂美琳,谢文佳,陈洪宇,等. 超声造影定量分析在早期原发性慢性肾病诊断中的应用价值[J]. 浙江医学,2019,41(21):2324-2327. doi: 10.12056/j.issn.1006-2785.2019.41.21.2019-1415

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