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Young-Eun Gil 1 Article
Temporal Evolution and Multimodal Neuroimaging in Reversible Cerebral Vasoconstriction Syndrome, Arterial Dissection, and Cerebral Venous Thrombosis
Young-Eun Gil
Received April 30, 2026  Accepted May 28, 2026  Published online June 4, 2026  
DOI: https://doi.org/10.62087/hpr.2026.0018
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AbstractAbstract
Cerebrovascular disorders are important secondary causes of headache, but diagnosis can be challenging because headache may be the earliest or only presenting symptom and initial neuroimaging findings are often normal or nonspecific. This review provides a systematic, imaging-focused discussion of three representative cerebrovascular headache disorders: reversible cerebral vasoconstriction syndrome (RCVS), cervical and intracranial artery dissection, and cerebral venous thrombosis (CVT). For each condition, we describe characteristic findings across relevant imaging modalities, including computed tomography, computed tomography angiography, magnetic resonance imaging (MRI), magnetic resonance angiography, vessel wall (VW)-MRI, and susceptibility-sensitive sequences. We also discuss the temporal evolution of imaging findings, which underlies several common diagnostic pitfalls. In RCVS, angiographic vasoconstriction propagates centripetally from distal to proximal vessels, and contrast-enhanced fluid-attenuated inversion recovery imaging can detect blood–brain barrier disruption before vasoconstriction becomes angiographically apparent. In arterial dissection, VW-MRI can show mural features that confirm the diagnosis and may help stratify ischemic risk. In CVT, susceptibility-weighted imaging improves detection of cortical vein thrombosis, a subtype that can be missed on conventional venography. Across all three conditions, single-time-point imaging may be misleading, and serial imaging is often needed to increase diagnostic certainty because interval changes may reveal findings not present on the initial study. By integrating modality-specific findings with their temporal dynamics, this review proposes a practical imaging framework for the early and accurate diagnosis of cerebrovascular secondary headache disorders.

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