ReviewMedical sciences (Basel, Switzerland)2025
The Role of Angiographic Imaging in the Treatment of Spinal Vascular Malformations.
Review in Medical sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spinal vascular malformations (SVMs) are rare and heterogeneous lesions that may lead to progressive neurological decline or hemorrhage, posing significant challenges for management due to their complex angioarchitecture and proximity to critical neural structures. This review examines the role of angiographic imaging modalities used intraoperatively and postoperatively in guiding treatment, confirming therapeutic success, and informing follow-up strategies. We summarize evidence on two-dimensional digital subtraction angiography (2D DSA), indocyanine green videoangiography (ICG-VAG), and emerging adjunctive techniques. 2D DSA remains the reference standard, offering superior temporal and spatial resolution for real-time visualization of vascular anatomy, catheter navigation, and embolic delivery, though its invasive nature, radiation exposure, and two-dimensional projection limit long-term applicability. ICG-VAG provides a complementary, non-ionizing method for intraoperative fluorescence imaging, aiding in shunt localization and venous preservation, although its restricted field of view and limited capacity for quantitative analysis reduce its standalone value. Advances in quantitative angiographic metrics, patient-specific hemodynamic modeling, and artificial intelligence-driven image analysis are anticipated to enhance diagnostic accuracy and reproducibility. The development of standardized multimodal protocols will be crucial for optimizing patient-centered treatment of these complex and rare lesions.
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Registered trials
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