Standardized classification of cerebral vasospasm after subarachnoid hemorrhage by digital subtraction angiography

Please always quote using this URN: urn:nbn:de:bvb:20-opus-270638
  • Background: During the last decade, cerebral vasospasm after aneurysmal subarachnoid hemorrhage (SAH) was a current research focus without a standardized classification in digital subtraction angiography (DSA). This study was performed to investigate a device-independent visual cerebral vasospasm classification for endovascular treatment. Methods: The analyses are DSA based rather than multimodal. Ten defined points of intracranial arteries were measured in 45 patients suffering from cerebral vasospasm after SAH at three time pointsBackground: During the last decade, cerebral vasospasm after aneurysmal subarachnoid hemorrhage (SAH) was a current research focus without a standardized classification in digital subtraction angiography (DSA). This study was performed to investigate a device-independent visual cerebral vasospasm classification for endovascular treatment. Methods: The analyses are DSA based rather than multimodal. Ten defined points of intracranial arteries were measured in 45 patients suffering from cerebral vasospasm after SAH at three time points (hospitalization, before spasmolysis, control after six months). Mathematical clustering of vessel diameters was performed to generate four objective grades for comparison. Six interventional neuroradiologists in two groups scored 237 DSAs after a new visual classification (grade 0–3) developed on a segmental pattern of vessel contraction. For the second group, a threshold-based criterion was amended. Results: The raters had a reproducibility of 68.4% in the first group and 75.2% in the second group. The complementary threshold-based criterion increased the reproducibility by about 6.8%, while the rating deviated more from the mathematical clustering in all grades. Conclusions: The proposed visual classification scheme of cerebral vasospasm is suitable as a standard grading procedure for endovascular treatment. There is no advantage of a threshold-based criterion that compensates for the effort involved. Automated vessel analysis is superior to compare inter-group results in research settings.show moreshow less

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Author: Helena Merkel, Dirk Lindner, Khaled Gaber, Svitlana Ziganshyna, Jennifer Jentzsch, Simone Mucha, Thilo Gerhards, Sabine Sari, Annika Stock, Felicitas Vothel, Lea Falter, Ulf Quäschling, Karl-Titus Hoffmann, Jürgen Meixensberger, Dirk Halama, Cindy Richter
URN:urn:nbn:de:bvb:20-opus-270638
Document Type:Journal article
Faculties:Medizinische Fakultät / Institut für diagnostische und interventionelle Neuroradiologie (ehem. Abteilung für Neuroradiologie)
Language:English
Parent Title (English):Journal of Clinical Medicine
ISSN:2077-0383
Year of Completion:2022
Volume:11
Issue:7
Article Number:2011
Source:Journal of Clinical Medicine (2022) 11:7, 2011. https://doi.org/10.3390/jcm11072011
DOI:https://doi.org/10.3390/jcm11072011
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Tag:cerebral vasospasm; classification; subarachnoid hemorrhage; vessel diameter
Release Date:2023/02/07
Date of first Publication:2022/04/03
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International