Subarachnoid hemorrhage due to ruptured cerebral aneurysm at the distal part of anterior inferior cerebellar artery-posterior inferior cerebellar artery variant after γ-knife irradiation

Kimura, Seigo; Yagi, Ryokichi; Kishi, Fumihisa; Ogawa, Daiji; Yamada, Keiichi; Taniguchi, Hirokatsu; Wanibuchi, Masahiko

doi:10.1016/j.inat.2022.101533

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…From the above table and the graph, it explains that linear regression shows the maximum accuracy of 87% comparatively, whereas random forest and decision tree yields 78% and 77% respectively. The above graph shows the accuracies [23] of the models, which will be useful [24] when tracing out the cerebral aneurysm at the earlier stage as a result the mortality rate [25] can be reduced.…”

Section: Resultsmentioning

confidence: 99%

Bio-inspired and deep learning approach for cerebral aneurysms prediction in healthcare environment

Srividhya¹,

Arunachalam²

2022

IJ-AI

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<span lang="EN-US">Diagnosis is being used in a variety of fields, including treatments, scientific knowledge, technology, industry, and many deals. A diagnosis begins with the person’s complaints and understanding something about the condition of the patient dynamically while in a question-and-answer session, as well as by taking measurements, like blood pressure or skin temperature, among other things. The prognosis is then calculated by considering the obtainable patient information. The adequate intervention is then prescribed, and the method may be repeated. In the medical field, humans, sometimes, have constraints when diagnosing diagnosis, primarily because this procedure is arbitrary and heavily relies on the assessor’s memories and perception of patient transmissions. The work is primarily concerned with the investigation of cerebellar aneurysm diagnosing. In the meantime, it’s become evident even during literature reviews research that a much more basis of theoretical research of a number of existing learning methods was required. As a result, this paper is to provide a comparison of classification techniques like tree structure, random trees, and regression. At about the same time, another important goal is to have a decision-making framework based on biomimetic elephant-whale enhancement for a great deal of consideration of cerebral aneurysm variables, providing a quick, accurate, and dependable clinical medicine remedy.</span>

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Section: Resultsmentioning

confidence: 99%

Bio-inspired and deep learning approach for cerebral aneurysms prediction in healthcare environment

Srividhya¹,

Arunachalam²

2022

IJ-AI

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“…The softness of the coil may pose an increased risk of turbulent blood flow, undoing the structure of the coils which may lead to rupture and/or the necessity for retreatment. The softness of the coils may be made up for by achieving a high packing density; the literature has shown that achieving higher packing density is the key to fewer instances of recanalization,[ 9 ] even when using hydrogel coils. [ 12 ] In addition to this, another important future direction may be to examine the Infini coils as effective framing coils; however, at present, it is crucial for the neck to be sealed by a complex coil or other framing technology (such as balloon or stent intra-procedurally) to avoid coil protrusion into the parent vessel.…”

Section: Discussionmentioning

confidence: 99%

Low-memory shape coils for intracranial aneurysm coiling: Initial and single-center experience with the i-ED coil

Bazil

Fifi

Yaeger

et al. 2023

Surgical Neurology International

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Background: Endovascular aneurysmal coiling is a preventative alternative to clipping to avoid aneurysmal rupture. In the literature and our own experience, some common coiling challenges which arise include: (1) microcatheter kickback, (2) detachment zone rigidity, (3) intrasaccular compartmentalization of coils on deployment, and (4) attainability of high-density and effective packing with as few coils as possible. Methods: We retrospectively reviewed a consecutive case series of 15 intracranial aneurysm patients who received Kaneka i-ED Coils since their initial use in our practice (December 2020) till May 2022. Results: Of the 14 saccular aneurysm patients treated with i-ED coils, 2/14 (14.3%) achieved a Raymond-Roy (RR) score of 3A (internal remnant), 4/14 (28.6%) achieved RR 2 (slight neck remnant) and 8/14 (57.1%) achieved RR 1. One MoyaMoya patient (5.9%) with a fusiform aneurysm also achieved a complete occlusion by parent artery takedown in this series. Aneurysm volumes ranged from 8.15 mm 3 to 315.5 mm 3 with an average packing density of 36.23% and a standard deviation 8.87%. At 30 days, most of our cohort scored a 0 on the modified Rankin scale (mRS) (11/15), with two patients scoring at an mRS score of 1, one at an mRS score of 4, and one at an mRS score of 6. Low-memory shape, coil cases achieved a significantly higher packing density (P < 0.01) and PD/Coils-used ratio (P < 0.05) than other cases in our practice. Conclusion: Our initial experience with i-ED coils has shown that they are a feasible strategy in a number of differently sized and shaped aneurysms. While fewer coils overall were not a statistically significant finding in this study, the future studies with larger cohorts are necessary and in progress.

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Subarachnoid hemorrhage due to ruptured cerebral aneurysm at the distal part of anterior inferior cerebellar artery-posterior inferior cerebellar artery variant after γ-knife irradiation

Cited by 2 publications

References 7 publications

Bio-inspired and deep learning approach for cerebral aneurysms prediction in healthcare environment

Bio-inspired and deep learning approach for cerebral aneurysms prediction in healthcare environment

Low-memory shape coils for intracranial aneurysm coiling: Initial and single-center experience with the i-ED coil

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