Evidence map›Paper›PMID 40189269›Full record

Observational studyNeurologia medico-chirurgica2025

Comparison of ELAPSS Score and Computational Fluid Dynamics for Predicting Growth of Small Unruptured Cerebral Aneurysms.

Masanori Tsuji, Fujimaro Ishida, Ryuta Yasuda, Yoichi Miura, Takenori Sato, Kazuhiro Furukawa, Takeshi Okada, Keiji Fukazawa, Yasuyuki Umeda, Naoki Toma and 1 more

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in Neurologia medico-chirurgica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Masanori TsujiDepartment of Neurosurgery, Mie University Graduate School of Medicine.
Fujimaro IshidaDepartment of Neurosurgery, Mie Chuo Medical Center, National Hospital Organization.
Ryuta YasudaDepartment of Neurosurgery, Mie University Graduate School of Medicine.
Yoichi MiuraDepartment of Neurosurgery, Kuwana City Medical Center.
Takenori SatoDepartment of Neurosurgery, Mie University Graduate School of Medicine.
Kazuhiro FurukawaDepartment of Neurosurgery, Mie Chuo Medical Center, National Hospital Organization.
Takeshi OkadaDepartment of Neurosurgery, Mie University Graduate School of Medicine.
Keiji FukazawaDepartment of Neurosurgery, Mie Chuo Medical Center, National Hospital Organization.
Yasuyuki UmedaDepartment of Neurosurgery, Kuwana City Medical Center.
Naoki TomaDepartment of Neurosurgery, Mie University Graduate School of Medicine.
Hidenori SuzukiDepartment of Neurosurgery, Mie University Graduate School of Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ELAPSS score is commonly utilized for predicting the growth of unruptured cerebral aneurysms. However, its application is unsuitable for small aneurysms with high demand for growth prediction. Consequently, we investigated the diagnostic accuracy of semi-quantitative assessment using the ELAPSS score and hemodynamic parameters using computational fluid dynamics in small aneurysms. A prospective observational study from January 2013 to February 2022 included 185 patients with 215 unruptured aneurysms with a maximum diameter of 3-5 mm. Aneurysms were classified into stable (186 aneurysms) and growth (29 aneurysms) groups based on repeated images. We calculated high shear area ratios, high shear concentration ratios, and flow concentration ratios as hemodynamic parameters that we have already reported to be associated with small aneurysm growth in our previous study. The characteristics associated with the growth of small aneurysms were statistically investigated with morphological variables and hemodynamic parameters. The ELAPSS score was also calculated for the same aneurysm group to determine whether the growth risk was sufficiently assessed. In morphological variables, no significant differences were observed between the 2 groups. As for the hemodynamic parameters, the growth group had a significantly lower flow concentration ratio (0.61 vs 0.66, p = 0.016), lower high shear area ratio (0.28 vs 0.33, p < 0.001), and a higher high shear concentration ratio (6.39 vs 5.01, p < 0.001). However, there were no significant differences in the ELAPSS scores between the 2 groups. When limited to small aneurysms, computational fluid dynamics may offer more enhanced predictive capabilities compared to the ELAPSS score for identifying growth tendencies.

Indexed as

HydrodynamicsIntracranial AneurysmAdultAgedCerebral AngiographyFemaleHemodynamicsHumansMaleMiddle AgedPredictive Value of TestsProspective Studiescomputational fluid dynamicshigh shear concentration ratiosmall unruptured cerebral aneurysms

Identifiers

PMID40189269
PMCPMC12137055

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.