Step 1: Classification of Vascular Anomalies.
Vascular anomalies are classified into two broad categories: vascular malformations and vascular tumors. These categories are further subdivided based on their characteristics and behavior.
1. Vascular Malformations (VM):
- Characteristics: These are abnormal development of blood vessels that grow proportionally with the body. They are present from birth and are often congenital.
- Subtypes:
- Capillary malformations: Small, superficial vessels often seen as port-wine stains.
- Venous malformations: Composed of abnormally formed veins.
- Arteriovenous malformations (AVM): Abnormal connections between arteries and veins, leading to high blood flow and high pressure.
- Lymphatic malformations: Abnormal growth of lymphatic vessels, often presenting as cystic masses.
- Mixed malformations: Combinations of capillary, venous, and lymphatic vessels.
2. Vascular Tumors (VT):
- Characteristics: These are growths or tumors that arise from endothelial cells and often exhibit rapid growth.
- Subtypes:
- Hemangiomas: Most common vascular tumors, particularly in infants. They are characterized by clusters of blood vessels.
- Kaposi's Sarcoma: A malignant vascular tumor often associated with immunosuppressed patients (e.g., HIV/AIDS).
Step 2: Imaging Features of Vascular Anomalies.
1. Ultrasound:
- Capillary malformations appear as hypoechoic areas on ultrasound.
- Venous malformations show a well-defined, anechoic structure with slow blood flow.
- Arteriovenous malformations show high-flow vessels with color Doppler imaging.
2. CT and MRI:
- Capillary malformations appear as well-defined hyperdense lesions on CT and enhance poorly on contrast studies.
- Venous malformations appear as multilocular lesions with a soft tissue density, showing enhancement on post-contrast imaging.
- Arteriovenous malformations (AVMs) show a tangle of vessels with rapid flow and may present with calcifications.
- Hemangiomas on MRI show well-defined, hyperintense areas on T2-weighted imaging with peripheral enhancement on post-contrast imaging.