The performance of ultrasound for differentiation of lower extremities fibro-adipose vascular anomaly and venous malformations
10.3760/cma.j.cn114453-20210703-00282
- VernacularTitle:下肢法瓦病与静脉畸形的超声影像学特征解析
- Author:
Wenjia HU
1
;
Yuhan LIU
;
Changxian DONG
;
Yubin GONG
;
Xiaojuan ZHAO
;
Gang WU
;
Fan WEI
;
Panhong FAN
Author Information
1. 河南省人民医院超声科，郑州 450003
- Keywords:
Arteriovenous malformations;
Ultrasonography;
Fibro-adipose vascular anomaly
- From:
Chinese Journal of Plastic Surgery
2022;38(3):259-264
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the differential performance of ultrasound between fibro-adipose vascular anomaly (FAVA) and venous malformations(VMs).Methods:From January 2015 to December 2020, the patients diagnosed with lower extremity FAVA by pathology in Henan Provincial People’s Hospital were enrolled as FAVA group. The patients diagnosed with lower extremity VMs by pathology were enrolled as the control group. The clinical and ultrasound imaging data were retrospectively analyzed. Through the single factor analysis of the two groups’data, the ultrasonic imaging indicators which may be valuable for distinguishing FAVA from VMs were screened. Further, the indicators valuable for differential diagnosis were determined by multi-factor Logistic regression analysis, and a multi-factor joint diagnosis model was constructed. The diagnostic efficiency of the joint diagnosis model was evaluated by the receiver operator characteristic curve (ROC curve), sensitivity, and specificity of the subjects.Results:A total of 20 patients with FAVA were involved, including 11 males and 9 females. The mean age was (18.1±12.2) years. Forty-six patients with VMs were involved, including 20 males and 26 females. The mean age was (19.9±13.6) years. Results of the single-factor analysis were differences in the lesion echo, fascial tail, blood flow, extrusion test, and posterior echo enhance characteristics between groups ( P<0.05). Multivariate analysis showed significant differences between groups in three aspects: fascial tail, extrusion test, and posterior echo enhancement ( P=0.001, 0.008, 0.007). The sensitivity and specificity of the multi-factor combined diagnosis model were 90.0% (95% CI: 68.3%-98.8%) and 93.5%(95% CI: 82.1%-98.6%), indicating high diagnostic efficiency. The ROC(AUC) area was 0.964(95% CI: 0.886-0.994), indicating high diagnostic efficiency. Conclusions:The ultrasonic imaging features of FAVA and VMs were different. The combined diagnosis of the fascial tail, compression test, and posterior echo enhancement has a higher auxiliary diagnostic value.
