Published April 2021 | Version v1
Journal article

Prediction of internal carotid artery aneurysm recurrence by pressure difference at the coil mass surface

  • 1. Department of Neurosurgery, Graduate School of Medical Science, Kanazawa University, Ishikawa (Japan)

Description

A previous study on computational fluid dynamics reported that a high pressure difference (PD) at the surface of a coil mass is a strong predictor of aneurysm recurrence after coil embolization. PD was calculated using a virtual post-coiling model (VM), created by manually cutting the aneurysm by the flat plane from an anatomic model created with pre-coil embolization data; however, its credibility has not been fully evaluated. This study aims to clarify whether PD values calculated using the post-coiling model, which reflects the actual coil plane, are a strong predictor of aneurysm recurrence. Fifty internal carotid artery aneurysms treated with endovascular coil embolization were analyzed (7 recanalized, 43 stable). We created and subjected two post-coiling models, namely, VM and the real post-coiling model (RM), constructed from the post-coil embolization data. The relationship between PD and aneurysm recurrence was examined using these models. PD and its constituent three parameters were compared between VM and RM. PD values calculated using RM showed significantly higher aneurysm recurrence in recurrence group than stable group (p < 0.001), and multivariate analysis showed that PD in RM (p = 0.02; odds ratio, 36.24) was significantly associated with aneurysm recurrence. The receiver operating characteristic analysis revealed that PD values accurately predicted aneurysm recurrence (area under the curve, 0.977; cutoff value, 3.08; sensitivity, 100%; specificity, 97.7%). All four parameters showed a significant correlation with VM and RM (p < 0.001). Use of PD to predict recurrence after coil embolization can be clinically relevant.

Availability note (English)

Available from: http://dx.doi.org/10.1007/s00234-020-02553-2

Additional details

Identifiers

Publishing Information

Journal Title
Neuroradiology
Journal Volume
63
Journal Issue
4
Journal Page Range
p. 593-602
ISSN
0028-3940
CODEN
NRDYAB