Virtual simulation accurately predicts in vivo flow diverter length for intracranial aneurysm treatment: a multicenter validation study.
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| Title: | Virtual simulation accurately predicts in vivo flow diverter length for intracranial aneurysm treatment: a multicenter validation study. |
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| Authors: | Rothe M; Institute of Neuroradiology, Technical University of Munich School of Medicine and Health, Munich, Germany maxi.rothe@t-online.de., Liebig T; Department of Neuroradiology, Ludwig Maximilian University of Munich, Munich, Germany., Renz M; Institute of Neuroradiology, Technical University of Munich School of Medicine and Health, Munich, Germany., Berndt-Mück MT; Institute of Neuroradiology, Technical University of Munich School of Medicine and Health, Munich, Germany., Hedderich DM; Institute of Neuroradiology, Technical University of Munich School of Medicine and Health, Munich, Germany., Sepp D; Institute of Neuroradiology, Technical University of Munich School of Medicine and Health, Munich, Germany., Meyer B; Department of Neurosurgery, Technical University of Munich School of Medicine and Health, Munich, Germany., Negwer C; Department of Neurosurgery, Technical University of Munich School of Medicine and Health, Munich, Germany., Bodden J; Institute of Neuroradiology, Technical University of Munich School of Medicine and Health, Munich, Germany., Schoeberl F; Department of Neurology, Ludwig Maximilian University of Munich, Munich, Germany., Rueckel J; Department of Neuroradiology, Ludwig Maximilian University of Munich, Munich, Germany., Kirschke JS; Institute of Neuroradiology, Technical University of Munich School of Medicine and Health, Munich, Germany., Wunderlich S; Department of Neurology, Technical University of Munich School of Medicine and Health, Munich, Germany., Boeckh-Behrens T; Institute of Neuroradiology, Technical University of Munich School of Medicine and Health, Munich, Germany., Maegerlein C; Institute of Neuroradiology, Technical University of Munich School of Medicine and Health, Munich, Germany. |
| Source: | Journal of neurointerventional surgery [J Neurointerv Surg] 2026 Jan 30. Date of Electronic Publication: 2026 Jan 30. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BMJ Publishing Group Country of Publication: England NLM ID: 101517079 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1759-8486 (Electronic) Linking ISSN: 17598478 NLM ISO Abbreviation: J Neurointerv Surg Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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