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Analysis of symptomatic brain aneurysms with three-dimensional aneurysm wall enhancement.

Publication ,  Journal Article
Zhu, C; Sagues, E; Tian, B; Zhao, H; Gudino, A; Shenoy, N; Ojeda, D; Dier, C; Saleem, A; Wendt, L; Sanchez, S; Miller, JM; Noboa, L; Krug, R ...
Published in: Neurosurg Rev
January 24, 2026

UNLABELLED: To determine whether three-dimensional quantitative assessment of aneurysm wall enhancement (AWE) improves the identification of high-risk intracranial aneurysms (IAs) compared to existing risk scoring systems. This cross-sectional, multicenter observational study included patients with saccular IAs who prospectively underwent 3T high-resolution MRI between 2018 and 2023 at the University of Iowa, Changhai Hospital, and Ren Ji Hospital. IAs were classified as symptomatic if associated with rupture, sentinel headache, cranial nerve palsy, or neurological symptoms due to mass effect. AWE was quantified using three-dimensional aneurysm wall mapping. The diagnostic performance of the PHASES score was compared to a multivariate logistic regression model developed using all-subsets regression, incorporating PHASES components along with sex, smoking status, aneurysm morphology, and AWE data. A total of 334 patients with 387 saccular IAs were analyzed; 73 aneurysms (19%) were symptomatic. In multivariate analysis, three-dimensional circumferential AWE (3D-CAWE) was independently associated with symptomatic presentation (OR 6.1, 95% CI 2.1–19.5; p < 0.001). The PHASES score achieved an area under the curve (AUC) of 0.64 (95% CI 0.56–0.71) for discriminating symptomatic IAs. A comprehensive model including age, smoking status, size ratio, and 3D-CAWE significantly outperformed PHASES, achieving an AUC of 0.80 (95% CI 0.74–0.85; ΔAUC = 0.16, 95% CI 0.09–0.23; p < 0.001). A comprehensive risk model that integrates clinical variables, aneurysm morphological features, and 3D-CAWE significantly improves the classification of symptomatic IAs compared to the PHASES score alone. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10143-025-04120-w.

Duke Scholars

Published In

Neurosurg Rev

DOI

EISSN

1437-2320

Publication Date

January 24, 2026

Volume

49

Issue

1

Start / End Page

159

Location

Germany

Related Subject Headings

  • Neurology & Neurosurgery
  • 3209 Neurosciences
  • 3203 Dentistry
  • 3202 Clinical sciences
  • 1109 Neurosciences
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Zhu, C., Sagues, E., Tian, B., Zhao, H., Gudino, A., Shenoy, N., … Samaniego, E. A. (2026). Analysis of symptomatic brain aneurysms with three-dimensional aneurysm wall enhancement. Neurosurg Rev, 49(1), 159. https://doi.org/10.1007/s10143-025-04120-w
Zhu, Chengcheng, Elena Sagues, Bing Tian, Huilin Zhao, Andres Gudino, Navami Shenoy, Diego Ojeda, et al. “Analysis of symptomatic brain aneurysms with three-dimensional aneurysm wall enhancement.Neurosurg Rev 49, no. 1 (January 24, 2026): 159. https://doi.org/10.1007/s10143-025-04120-w.
Zhu C, Sagues E, Tian B, Zhao H, Gudino A, Shenoy N, et al. Analysis of symptomatic brain aneurysms with three-dimensional aneurysm wall enhancement. Neurosurg Rev. 2026 Jan 24;49(1):159.
Zhu, Chengcheng, et al. “Analysis of symptomatic brain aneurysms with three-dimensional aneurysm wall enhancement.Neurosurg Rev, vol. 49, no. 1, Jan. 2026, p. 159. Pubmed, doi:10.1007/s10143-025-04120-w.
Zhu C, Sagues E, Tian B, Zhao H, Gudino A, Shenoy N, Ojeda D, Dier C, Saleem A, Wendt L, Sanchez S, Miller JM, Noboa L, Guijarro-Falcon K, Jones MT, Krug R, Ortega-Gutierrez S, Hasan D, Samaniego EA. Analysis of symptomatic brain aneurysms with three-dimensional aneurysm wall enhancement. Neurosurg Rev. 2026 Jan 24;49(1):159.
Journal cover image

Published In

Neurosurg Rev

DOI

EISSN

1437-2320

Publication Date

January 24, 2026

Volume

49

Issue

1

Start / End Page

159

Location

Germany

Related Subject Headings

  • Neurology & Neurosurgery
  • 3209 Neurosciences
  • 3203 Dentistry
  • 3202 Clinical sciences
  • 1109 Neurosciences
  • 1103 Clinical Sciences