Aug 2026· Neuroradiology· Vol 68, pp. 2697 - 2706· 0 citations· 27 references
Medicine
TL;DR
3D TOF and contrast-enhanced 3D T1-weighted GRE imaging are effective non-invasive tools for the follow-up of embolized DAVFs, and provides high diagnostic performance for excluding clinically significant residual fistulas.
Abstract Objective This study evaluated the practicality of three-dimensional (3D)-digital subtraction angiography using intravenous contrast injection (IV-3D-DSA) as a minimally invasive follow-up imaging after flow diverter (FD) placement for intracranial aneurysms. Materials and Methods This study included 40 patien...
Fuminori Ato, Shigeru Miyachi, N. Matsuo et al.· Asian Journal of Neurosurger...· 0 citations
Background and objective Surgical management of anatomically complex intracranial meningiomas requires accurate assessment of tumor vascular supply, venous sinus involvement, cortical venous relationships, and skull base anatomy. Although multimodal fusion imaging and angiographic assessment are established, the increm...
Yue Ma, Zhouyang Zhao, Yimei Yang et al.· Frontiers in Neurology· 0 citations
Introduction Preoperative neuronavigation relies on multimodal imaging to delineate lesion anatomy and surrounding neurovascular structures. Ultra-high-resolution photon-counting CT (UHR PCCT) provides submillimeter vascular and osseous detail and may improve surgical planning compared with conventional CT and MRI. Res...
V. Volovici, Y. Sadigh, M. Dijkshoorn et al.· Brain and Spine· 0 citations
BACKGROUND AND PURPOSE
MRI follow-up of treated cerebral aneurysms is essential to detect remnants or reperfusion but contrast-enhanced MR-angiography (ceMRA) and TOF-MRA can be impaired by implant-related artifacts. Pointwise Encoding Time Reduction with Radial Acquisition MRA (PETRA) is a novel, non-contrast MRA tech...
S. Sondermann, Peter Schramm, N. Keric et al.· AJNR. American journal of ne...· 0 citations
In this small proof-of-concept cohort, 2D perfusion angiography quantified embolization-related hemodynamic changes, and machine learning demonstrated preliminary feasibility for the automated discrimination of pre- and post-embolization perfusion states.
Snizhana Laziuk, S. M. Kozlov· The Ukrainian Scientific Med...· 0 citations
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