Development and Validation of a Prediction Model for Intracranial Aneurysm Rupture Risk
In this prognostic study, the MLM consistently identified features of UIAs as significantly associated with rupture across different cohorts. These results support the MLM's potential to assist physicians and patients in UIA treatment decisions.
Authors
- Soichiro Fujimura (ORCID: https://orcid.org/0000-0002-4651-8249)
- Hiroyuki TAKAO
- Genki Kudo
- Maarten J. Kamphuis (ORCID: https://orcid.org/0000-0003-1938-334X)
- G. Rinkel
- Toshihiro ISHIBASHI
- Yuichi Murayama (ORCID: https://orcid.org/0000-0003-3490-385X)
- Masaaki Suzuki (ORCID: https://orcid.org/0000-0001-8843-5532)
- Hayato Ohwada
- Laura T. van der Kamp (ORCID: https://orcid.org/0000-0002-0702-7199)
- R Regenhardt
- Aman B. Patel
- Toshiki Koshiba
- Takeshi Yanagisawa
- Mervyn D. I. Vergouwen
- Shigeo Yamashiro
Institutions
- Jikei University School of Medicine (JP)
- Harvard University (US)
- Tokyo University of Science (JP)
- Utrecht University (NL)
- University Medical Center Utrecht (NL)
- Massachusetts General Hospital (US)
- Saiseikai Kumamoto Hospital (JP)
- Chukyo University (JP)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2025-12-23
- DOI
- https://doi.org/10.1001/jamanetworkopen.2025.50772
- Citations
- 2
- Primary Topic
- Intracranial Aneurysms: Treatment and Complications
- Type
- article
- Field-Weighted Citation Impact
- 2.78