Optimal woven endobridge (WEB) device-aneurysm volume: using automated volumetric software to predict aneurysmal occlusion status after WEB treatment

Yosuke Kawamura, Tomoji Takigawa, Masaya Nagaishi, Akio Hyodo, Kensuke Suzuki

Open source

DOI: 10.1007/s00701-025-06558-9
Published: 2025-09-13
Container: Acta Neurochirurgica
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s00701-025-06558-9,
  title = {Optimal woven endobridge (WEB) device-aneurysm volume: using automated volumetric software to predict aneurysmal occlusion status after WEB treatment},
  author = {Yosuke Kawamura and Tomoji Takigawa and Masaya Nagaishi and Akio Hyodo and Kensuke Suzuki},
  year = {2025},
  journal = {Acta Neurochirurgica},
  doi = {10.1007/s00701-025-06558-9},
  url = {https://doi.org/10.1007/s00701-025-06558-9}
}

RIS

TY  - JOUR
TI  - Optimal woven endobridge (WEB) device-aneurysm volume: using automated volumetric software to predict aneurysmal occlusion status after WEB treatment
AU  - Yosuke Kawamura
AU  - Tomoji Takigawa
AU  - Masaya Nagaishi
AU  - Akio Hyodo
AU  - Kensuke Suzuki
PY  - 2025
JO  - Acta Neurochirurgica
DO  - 10.1007/s00701-025-06558-9
UR  - https://doi.org/10.1007/s00701-025-06558-9
ER  -

APA

Kawamura, Y., Takigawa, T., Nagaishi, M., Hyodo, A., & Suzuki, K. (2025). Optimal woven endobridge (WEB) device-aneurysm volume: using automated volumetric software to predict aneurysmal occlusion status after WEB treatment. Acta Neurochirurgica. https://doi.org/10.1007/s00701-025-06558-9

Source records

crossref · retrieved 2026-09-26T00:31:01.074Z