北京大学学报(医学版) ›› 2023, Vol. 55 ›› Issue (4): 636-640. doi: 10.19723/j.issn.1671-167X.2023.04.011

• 论著 • 上一篇    下一篇

超微血流显像评价系统性硬化症指端血流的方法学与临床应用

林卓华1,蔡如意2,孙洋1,穆荣2,*(),崔立刚1,*()   

  1. 1. 北京大学第三医院超声医学科,北京 100191
    2. 北京大学第三医院风湿免疫科,北京 100191
  • 收稿日期:2022-12-23 出版日期:2023-08-18 发布日期:2023-08-03
  • 通讯作者: 穆荣,崔立刚 E-mail:murongster@163.com;cuiligang_bysy@126.com

Methodology and clinical use of superb microvascular imaging in assessing micro-circulation changes of fingertips in systemic sclerosis

Zhuo-hua LIN1,Ru-yi CAI2,Yang SUN1,Rong MU2,*(),Li-gang CUI1,*()   

  1. 1. Department of Medical Ultrasound, Peking University Third Hospital, Beijing 100191, China
    2. Department of Rheumatology and Immunology, Peking University Third Hospital, Beijing 100191, China
  • Received:2022-12-23 Online:2023-08-18 Published:2023-08-03
  • Contact: Rong MU,Li-gang CUI E-mail:murongster@163.com;cuiligang_bysy@126.com

摘要:

目的: 探讨超微血流显像(superb microvascular imaging,SMI)评估系统性硬化症(systemic sclerosis, SSc)指端微循环损伤的可行性及其最佳应用条件,并确定检查部位(甲床和指腹)、切面(短轴切面和长轴切面)及增益对检查结果的影响。方法: 收集自2022年2—10月在北京大学第三医院诊治的32例SSc患者及32名非SSc患者。通过SMI对两组患者的指端血流进行评估,在不同切面(双手中指的甲床长轴及短轴、指腹长轴及短轴)和不同增益条件,即高增益(40 dB)及低增益(35 dB)下分别观察血流信号的分布,测量血管指数(vascular index,VI)并进行比较。结果: 对照组中指指端血流分布丰富,SMI模式下可清晰观察到走行于远端指骨背侧的甲床内小动脉,并发出多发垂直分支向甲面走行;指腹切面可观察到与皮肤横向走行的小动脉,发出垂直分支向皮肤走行,在皮下呈类网状分布。SSc组患者甲床及指腹的血流分布减少,动脉显示不连续,只显示零星点状或短棒状血流信号。不同部位、切面及血流增益条件下,SSc组血管指数均显著低于对照组(P<0.001)。不同部位及切面比较发现,甲床长轴切面的诊断效能最高,受试者工作特性曲线下面积(the area under the receiver operating characteristic curve,AUC)最大。低增益条件下,甲床长轴切面AUC为0.871,截断值为5.4%,敏感性为90.6%,特异性为74.2%;高增益条件下,甲床长轴切面的AUC为0.893,截断值14.0%,敏感性为75.0%,特异性为93.6%。多因素分析结果显示甲床长轴切面对于患病的诊断影响差异均存在统计学意义(高增益条件,P<0.005;低增益条件,P<0.05)。结论: SMI可用于评估SSc患者的血管异常改变。高增益下使用甲床长轴切面方便易行,且能够特异地评估SSc患者的微循环变化。

关键词: 系统性硬化症, 超微血流显像, 微循环

Abstract:

Objective: To explore the feasibility of superb microvascular imaging (SMI) in evaluating microcirculation damage of the finger of systemic sclerosis (SSc), and determining the optimal scanning method by assessing the effect of scanning position (finger pulp or nail bed), plane (transverse or sagittal) and Doppler gain on the results. Methods: In the study, 32 SSc patients and 32 non-SSc volunteers admitted to Peking University Third Hospital from February to October 2022 were included. The SMI image under different gain set (40 dB or 35 dB) of the third fingertip (sagittal scans or transverse scan of nail bed or pulp) of both hands were collected while vascular index (VI) was measured. Results: Non-SSc volunteer presented abundant SMI signal distributed in the third fingertip. Arteriole of nail bed was observed on the dorsal side of the distal phalanx under SMI and gave off multiple vertical branches towards the nail. The arteriole of finger pulp ran parallel to the skin and gave off vertical branches towards the skin distributing subcutaneously as a network. In SSc group, the SMI signal in nail bed and finger pulp was reduced. The arteriole of nail bed and finger pulp was discontinuous and presented as sporadic dots and short rod-like color signal under SMI. The vascular index of the SSc patients was significantly lower than that of the non-SSc controls (P < 0.001). Among different positions and sections, the area under the receiver operating characteristic curve (AUC) of the sagittal plane of nail bed was the highest. Under low gain, the AUC of sagittal plane of nail bed was 0.871, the cut-off value was 5.4%, the sensitivity was 90.6%, and the specificity was 74.2%. Under high gain, the AUC was 0.893, the cut-off value was 14.0%, the sensitivity was 75.0%, and the specificity was 93.6%. Multivariate analysis showed that there was statistical significance on the diagnostic impact of the sagittal plane of nail bed (P < 0.005 for high gain condition; P < 0.05 for low gain condition). Conclusion: SMI can be used to evaluate the abnormal changes of vascular in patients with SSc. Using the sagittal scan of nail bed with high gain can evaluate the vascular loss of the fingertip in SSc patient accurately and specifically.

Key words: Systemic sclerosis, Superb microvascular imaging, Microcirculation

中图分类号: 

  • R593.25

图1

对照组(A~D)和SSc组(a~d)的指端超微血流图像"

表1

SSc组和对照组的血管指数(%)比较"

Scanning method SSc group Control group P
Low gain (35 dB)
  Sagittal plane of finger pulp 2.8 (0.6, 6.7) 12.0 (7.1, 14.3) <0.001
  Transverse plane of finger pulp 4.2 (0.8, 8.6) 10.8 (6.8, 16.9) <0.001
  Sagittal plane of nail bed 1.0 (0.6, 3.5) 14.2 (4.8, 20.0) <0.001
  Transverse plane of nail bed 2.4 (0.9, 4.3) 12.8 (7.2, 16.7) <0.001
High gain (40 dB)
  Sagittal plane of finger pulp 14.1 (5.0, 21.4) 26.0 (17.3, 36.5) <0.001
  Transverse plane of finger pulp 10.6 (7.5, 20.4) 34.7 (20.4, 50.4) <0.001
  Sagittal plane of nail bed 10.4 (5.9, 14.5) 38.2 (22.5, 58.0) <0.001
  Transverse plane of nail bed 18.1 (8.1, 32.9) 41.1 (23.6, 60.2) <0.001

表2

SMI在不同增益、切面下的诊断效能"

Scanning method Cut-off value/% AUC (95%CI) Sensitivity/% Specificity/%
Low gain (35 dB)
  Transverse plane of nail bed 6.6 0.861 (0.751-0.935) 93.8 77.4
  Sagittal plane of nail bed 5.4 0.871 (0.763-0.942) 90.6 74.2
  Transverse plane of finger pulp 5.1 0.793 (0.673-0.885) 71.9 83.9
  Sagittal plane of finger pulp 6.1 0.805 (0.686-0.894) 75.0 80.7
High gain (40 dB)
  Transverse plane of nail bed 45.3 0.790 (0.669-0.882) 96.9 48.4
  Sagittal plane of nail bed 14.0 0.893 (0.790-0.957) 75.0 93.6
  Transverse plane of finger pulp 20.8 0.836 (0.721-0.917) 78.1 74.2
  Sagittal plane of finger pulp 23.9 0.765 (0.641-0.863) 90.6 54.8

图2

甲床长轴切面血管指数的ROC曲线"

表3

四切面联合检查Logistic回归结果"

Scanning method Exp (B) P
Low gain (35 dB)
  Sagittal plane of finger pulp 0.940 0.529
  Transverse plane of finger pulp 1.048 0.645
  Sagittal plane of nail bed 0.779 0.017
  Transverse plane of nail bed 0.928 0.334
High gain (40 dB)
  Sagittal plane of finger pulp 0.930 0.467
  Transverse plane of finger pulp 0.984 0.709
  Sagittal plane of nail bed 0.884 0.004
  Transverse plane of nail bed 1.048 0.492
1 Denton CP , Khanna D . Systemic sclerosis[J]. Lancet, 2017, 390 (10103): 1685- 1699.
doi: 10.1016/S0140-6736(17)30933-9
2 Almeida I , Silva SV , Fonseca AR , et al. T and NK cell phenotypic abnormalities in systemic sclerosis: A cohort study and a comprehensive literature review[J]. Clin Rev Allergy Immunol, 2015, 49 (3): 347- 369.
doi: 10.1007/s12016-015-8505-8
3 Black CM . The aetiopathogenesis of systemic sclerosis: Thick skin. Thin hypotheses. The Parkes Weber Lecture 1994[J]. J R Coll Physicians Lond, 1995, 29 (2): 119- 130.
4 Piela-Smith TH , Korn JH . Lymphocyte modulation of fibroblast function in systemic sclerosis[J]. Clin Dermatol, 1994, 12 (3): 369- 377.
doi: 10.1016/0738-081X(94)90289-5
5 孙焕霞, 苏厚恒, 石颜军. 系统性硬化病发病机制探讨及展望[J]. 中华风湿病学杂志, 2020, 24 (7): 491- 495.
6 Dinsdale G , Wilkinson S , Wilkinson J , et al. State-of-the-art technologies provide new insights linking skin and blood vessel abnormalities in SSc-related disorders[J]. Microvasc Res, 2020, 130, 104006.
doi: 10.1016/j.mvr.2020.104006
7 Pavan TR , Bredemeier M , Hax V , et al. Capillary loss on nailfold capillary microscopy is associated with mortality in systemic sclerosis[J]. Clin Rheumatol, 2018, 37 (2): 475- 481.
doi: 10.1007/s10067-017-3869-1
8 穆洁, 忻晓洁, 毛怡然, 等. 超微血流显像技术在肾囊性病变中的应用价值[J]. 中华超声影像学杂志, 2017, 26 (10): 887- 890.
9 van den Hoogen F , Khanna D , Fransen J , et al. 2013 classification criteria for systemic sclerosis: An American College of Rheumatology/European league against rheumatism collaborative initiative[J]. Ann Rheum Dis, 2013, 72 (11): 1747- 1755.
doi: 10.1136/annrheumdis-2013-204424
10 梁丽萍, 任海波, 郑艳芬, 等. 超声结合增强型能量多普勒显像技术评价糖尿病指端微血管血流的临床价值[J]. 中国医学影像学杂志, 2014, 22 (2): 128- 130.
11 Chen C , Cheng Y , Zhu X , et al. Ultrasound assessment of skin thickness and stiffness: The correlation with histology and clinical score in systemic sclerosis[J]. Arthritis Res Ther, 2020, 22 (1): 197.
doi: 10.1186/s13075-020-02285-x
12 Sobolewski P , Maślińska M , Zakrzewski J , et al. Applicability of shear wave elastography for the evaluation of skin strain in systemic sclerosis[J]. Rheumatol Int, 2020, 40 (5): 737- 745.
doi: 10.1007/s00296-020-04539-y
13 Claman HN , Giorno RC , Seibold JR . Endothelial and fibroblastic activation in scleroderma. The myth of the "uninvolved skin"[J]. Arthritis Rheum, 1991, 34 (12): 1495- 1501.
14 Zhang L , Li M , Liu Y , et al. Combining optical coherence tomography with magnetic resonance angiography and Doppler ultrasonography for clinical detection of scleroderma[J]. Anat Rec (Hoboken), 2020, 303 (12): 3108- 3116.
doi: 10.1002/ar.24340
15 王莹, 张岱, 杨凡, 等. 超微血流显像与超声造影对甲状腺实性结节的诊断价值[J]. 中国肿瘤临床, 2021, 48 (14): 711- 715.
16 Cai S , Wang H , Zhang X , et al. Superb microvascular imaging technology can improve the diagnostic efficiency of the BI-RADS system[J]. Front Oncol, 2021, 11, 634752.
doi: 10.3389/fonc.2021.634752
17 张岱, 穆洁, 毛怡然, 等. 超微血流显像对不同大小肾实性肿瘤的诊断价值[J]. 中华肿瘤杂志, 2021, 43 (11): 1215- 1221.
18 Corvino A , Varelli C , Cocco G , et al. Seeing the unseen with superb microvascular imaging: Ultrasound depiction of normal dermis vessels[J]. J Clin Ultrasound, 2022, 50 (1): 121- 127.
doi: 10.1002/jcu.23068
19 张军辉, 李媛, 曹礼庭, 等. E-flow显像评价系统性硬化病患者指端微循环变化[J]. 中华超声影像学杂志, 2011, 20 (5): 413- 416.
20 Bossini-Castillo L , López-Isac E , Mayes MD , et al. Genetics of systemic sclerosis[J]. Semin Immunopathol, 2015, 37 (5): 443- 451.
21 Ruaro B , Sulli A , Pizzorni C , et al. Correlations between blood perfusion and dermal thickness in different skin areas of systemic sclerosis patients[J]. Microvasc Res, 2018, 115, 28- 33.
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