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Published on: June 15, 2020
Benign vascular anomalies: A transition from morphological to etiological classification
Kanika Rastogi1, Lavleen Singh1, Niyaz A Khan2
1Department of Pathology, Chacha Nehru Bal Chikitsalaya, Geeta Colony, Delhi 110031, India.
Insights
Accurate classification of benign vascular anomalies into tumors and malformations is crucial for effective treatment. Histopathology, guided by the International Society for the Study of Vascular Anomalies (ISSVA) classification and immunohistochemistry, reliably distinguishes these entities.
Area of Science:
- Pathology
- Vascular Biology
- Histopathology
Background:
- Benign vascular anomalies are classified by the International Society for the Study of Vascular Anomalies (ISSVA) into tumors and malformations.
- Accurate classification impacts therapeutic and prognostic outcomes.
- Misuse of terms like "hemangioma" leads to incorrect patient treatment.
Purpose of the Study:
- To evaluate histomorphological and immunohistochemical features for precise histopathological classification of benign vascular anomalies.
- To differentiate vascular tumors from malformations using established criteria and specific markers.
Main Methods:
- Review and reclassification of 48 benign vascular anomaly cases based on ISSVA criteria.
- Histopathological analysis using endothelial morphology, mitotic activity, intralesional nerve bundles, inflammation, and vessel type.
- Immunohistochemical staining for GLUT-1, WT-1, and Ki-67.
Main Results:
- 33 cases of vascular malformations and 15 cases of vascular tumors (7 infantile hemangiomas, 4 non-involuting congenital hemangiomas, 4 pyogenic granulomas) were diagnosed.
- Endothelial cell morphology, mitotic activity, and intralesional nerve bundles significantly differentiated hemangiomas from malformations (p < 0.001).
- GLUT-1 and Ki-67 reliably distinguished infantile hemangioma from vascular malformations (p < 0.001).
Conclusions:
- The ISSVA classification is reliably applicable to histopathology for benign vascular anomalies.
- Histopathological features and immunohistochemistry are essential for accurate diagnosis.
- Integration of clinical and radiological findings is vital for comprehensive case interpretation.
Abstract:
The International Society for the Study of Vascular Anomalies (ISSVA) devised a multidisciplinary etiopathogenesis based approach to classify benign vascular anomalies into tumors and malformations. This classification scheme has major therapeutic and prognostic implications as treatment modalities differ for both the categories. Inappropriate usage of the term "hemangioma" for etiopathogenetically distinct entities is commonly seen in clinical practice leading to delivery of incorrect treatment to the patients. We aimed to study the histomorphological and immunohistochemical features of benign vascular anomalies for their precise histopathological classification. A total of 48 cases diagnosed over a period of 3.5 years were reviewed and reclassified into vascular tumors and malformations based on ISSVA classification and prototypical histopathological features. Biopsies were reviewed based on 5 histopathological criteria viz. endothelial morphology, mitotic activity, intralesional nerve bundles, intralesional inflammation, and prominent vessel type. A panel of GLUT-1, WT-1, and Ki-67 was performed in each case. Seven cases of infantile hemangioma, 4 cases each of non-involuting congenital hemangioma and pyogenic granuloma, and 33 cases of vascular malformations were diagnosed. Endothelial cell morphology (p < 0.001), mitotic activity (p < 0.001), and intralesional nerve bundles (p < 0.001) were found to be statistically significant in differentiating hemangioma from malformations. GLUT-1 (p < 0.001) and Ki-67 labeling index (p < 0.001) were useful to distinguish infantile hemangioma from vascular malformations. To conclude, the ISSVA classification of benign vascular anomalies can be reliably done on histopathology. However, every case must be interpreted in the light of clinical and radiological features.
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