EVALUATION OF IMAGING FEATURES OF PERIPHERAL VASCULAR MALFORMATION
Main Article Content
Abstract
Purpose: The purpose of this study were to describe the imaging characteristics of peripheral vascular malformations. MethodS: Prospective interventional study of series cases without controlled. Patients who has been diagnosed with peripheral vascular malformations from June 2016 to March 2019 at Gia Dinh People's Hospital, chosen base on the research records. All patients underwent clinical examination and imaging studies. Diagnosis of peripheral vascular malformation is based on ISSVA 2014 classification. Results: Data from 103 patients, including 35 men (34%) and 68 women (66%). The average age is 24.2 ± 14.1, most seen in group lower 18 years old (55.3%). Diagnosis of vascular malformations according to ISSVA 2014 classification, 72.8% are venous malformations (VM), 15.5% are arteriovenous malformations (AVM), the rest are other vascular malformations. There is no significant difference in age or sex for the types of vascular malformations. Ultrasound has the best diagnostic value for lymphatic malformations (66.7%). Computer tomography (CT) diagnosed venous malformation in 100% of cases. For slow- flow vascular malformations, Magnetic resonance imaging (MRI) accurately diagnoses 100% of cases. However, with high-flow vascular malformation, valuation of MRI is only 46.7%. Conclusions: Ultrasonography is the first choice imaging for the evaluation of vascular malformations. CT and MRI play an important role in making precise diagnosis, as well as visualizing the anatomically correlation to the surrounding structures, follow up post- treatment.
Article Details
Keywords
Peripheral vascular malformation, Lymphatic malformation, Venous malformation, arteriovenous malformations, capilary malformation
References
2. Nguyễn Công Minh (2013), “Đánh giá điều trị dị dạng mạch máu bẩm sinh ở người lớn trong 6 năm (2005-2010)”. Tạp chí Y học TPHCM, 17.
3. Tasnádi G. (1993), “Epidemiology and etiology of congenital vascular malformations”. Semin Vasc Surg, 6 (4), pp. 200-3.
4. Arnold R., Chaudry G. (2011), “Diagnostic imaging of vascular anomalies”. Clin Plast Surg, 38 (1), pp. 21-9.
5. Trop I., Dubois J., Guibaud L., et al. (1999), “Soft-tissue venous malformations in pediatric and young adult patients: diagnosis with Doppler US”. Radiology, 212 (3), pp. 841-5.
6. Olivieri B., White C. L., Restrepo R., et al. (2016), “Low-Flow Vascular Malformation Pitfalls: From Clinical Examination to Practical Imaging Evaluation--Part 2, Venous Malformation Mimickers”. AJR Am J Roentgenol, 206 (5), pp. 952-62.
7. Yakes W. F. (2015), "Yakes’ AVM classification system". Journal of Vascular and Interventional Radiology, 26 (2), pp. S224.