Cerebrovascular Malformations Associated With Hereditary Hemorrhagic Telangiectasia and HHT ‐Like Syndromes: A Comparative Overview
Year: 2026
Type: article
Abstract: INTRODUCTION: Hereditary hemorrhagic telangiectasia (HHT) is an autosomal dominant vascular disorder marked by mucocutaneous telangiectasias, recurrent epistaxis, and visceral arteriovenous malformations (AVMs). Neurologic risks include brain AVMs and hemorrhagic stroke. Several rare genetic and sporadic syndromes ("HHT-like" syndromes) share overlapping vascular features, complicating diagnosis. Differentiating these conditions is essential for accurate neurovascular risk assessment. METHODS: A comprehensive literature review (PubMed, Scopus, Embase, Google Scholar; 1990-2025) targeted cerebrovascular manifestations of HHT and related syndromes. Key entities included Wyburn-Mason syndrome, Cobb syndrome, Klippel-Trénaunay syndrome (KTS), neurofibromatosis type 1 (NF1), PHACE(S) syndrome, capillary malformation-AVM (CM-AVM), Parkes Weber syndrome (PWS), juvenile polyposis/HHT overlap (JP-HHT), HHT type 5 (BMP9/GDF2), PTEN hamartoma tumor syndrome (PHTS), and blue rubber bleb nevus syndrome (BRBNS). Data on gene variants, lesion types, neuroimaging, stroke risk, and neurologic outcomes were synthesized. RESULTS: High-flow cerebrovascular malformations similar to HHT are prominent in Wyburn-Mason syndrome, CM-AVM, and PWS, conferring a substantial hemorrhagic stroke risk. NF1 and PHACE(S) primarily feature occlusive arteriopathies linked to ischemic events. KTS, BRBNS, and PHTS predominantly show low- or mixed-flow anomalies with lower CNS hemorrhagic risk but increased thrombotic complications. JP-HHT carries added gastrointestinal cancer risk via SMAD4 variants, while HHT type 5 often presents incompletely. Genetic testing and tailored neuroimaging are critical for differentiation. CONCLUSIONS: Although many syndromes mimic HHT, few combine mucosal telangiectasias, high-flow AVMs, and recurrent hemorrhage. Integrating clinical, imaging, and genetic data enables precise diagnosis, risk stratification, and personalized management.
Source: European Journal of Neurology
DOI: 10.1111/ene.70523
Authors: Matteo Palermo, Carmelo Lucio Sturiale
Language: English
Subfield: Genetics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,600
OpenAlex ID: W7130436408
