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[Imaging of peripheral arteriovenous malformations using color-coded Doppler sonography]
P Hübsch1, S Trattnig, F M Kainberger
1Abt. für diagnostische Radiologie, II. Medizinischen Universitätsklinik Wien.
Summary
Color-coded Doppler sonography effectively detects arteriovenous shunts in arteriovenous malformations. While it aids diagnosis, it cannot fully replace angiography for identifying feeding vessels.
Area of Science:
- Vascular Imaging
- Diagnostic Ultrasound
- Radiology
Background:
- Arteriovenous malformations (AVMs) are complex vascular anomalies requiring accurate diagnostic imaging.
- Conventional angiography is the gold standard but is invasive.
- Non-invasive ultrasound techniques are being explored for AVM evaluation.
Purpose of the Study:
- To evaluate the efficacy of color-coded Doppler sonography and duplex Doppler sonography in diagnosing arteriovenous shunts.
- To assess the ability of these ultrasound modalities to identify feeding vessels in patients with AVMs.
- To compare the diagnostic capabilities of Doppler sonography with angiography.
Main Methods:
- Retrospective analysis of 15 patients with suspected arteriovenous malformations.
- Utilized color-coded Doppler sonography and duplex Doppler sonography for imaging.
- Correlated sonographic findings with angiography in 10 cases.
- Histological confirmation for one soft tissue tumor diagnosis.
Main Results:
- Doppler sonography correctly identified arteriovenous shunts in all 15 patients.
- Angiographic correlation confirmed findings in 10 cases.
- Duplex Doppler sonography had limitations in precisely identifying feeding vessels.
- Color-coded Doppler sonography accurately identified feeding vessels in only 2 patients.
- Sonography successfully diagnosed a soft tissue tumor (malignant synovialoma) in one patient.
Conclusions:
- Color-coded Doppler sonography is a valuable adjunct to angiography for diagnosing arteriovenous malformations.
- It reliably detects arteriovenous shunts.
- However, it does not replace angiography for comprehensive evaluation, particularly for feeding vessel identification.