This report portrays a case of a funnel shaped anterior communicating artery (ACoA) fenestration which was mistaken as a small A1 aneurysm in a subarachnoid hemorrhage case. Although tridimensional rotational digital subtraction angiography improves aneurysm diagnosis specially at the ACoA complex, current spatial resolution might leave behind a considerable percentage of ACoA fenestrations. This may lead to diagnostic errors and unnecessary treatments risking iatrogenic complications. Luckily for our patient, a concomitant aneurysm warranted clipping and subsequent surgical exploration of the ACoA complex revealed the pitfall, thus preventing further action. Interestingly, another group of authors who reported similar misdiagnosis with ACoA aneurysms were able to prevent a third error, thanks to the experience acquired with 2 prior cases. Therefore, this clinical image aims to raise wider awareness of the need for very cautious consideration of imaging depicting small and/or atypical aneurysms in the ACoA complex.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.wneu.2023.04.122 | DOI Listing |
Sci Rep
December 2024
Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang, 550025, Guizhou, China.
In response to the challenges faced by the Coati Optimization Algorithm (COA), including imbalance between exploration and exploitation, slow convergence speed, susceptibility to local optima, and low convergence accuracy, this paper introduces an enhanced variant termed the Adaptive Coati Optimization Algorithm (ACOA). ACOA achieves a balanced exploration-exploitation trade-off through refined exploration strategies and developmental methodologies. It integrates chaos mapping to enhance randomness and global search capabilities and incorporates a dynamic antagonistic learning approach employing random protons to mitigate premature convergence, thereby enhancing algorithmic robustness.
View Article and Find Full Text PDFEcology
December 2024
Institute of Forestry and Conservation, John H. Daniels Faculty of Architecture, Landscape and Design (Forestry), University of Toronto, Toronto, Ontario, Canada.
Population outbreaks are characterized by irruptive changes in population density and connectivity resulting in rapid demographic and spatial expansion, often at the landscape scale. Outbreaks are common across multiple taxa, many of which inhabit northern ecosystems. Outbreaks of Lepidopteran defoliators in forest ecosystems are a particularly compelling example of this phenomenon, given the massive spatial scales over which these outbreaks can occur, their frequency, and socioeconomic impacts.
View Article and Find Full Text PDFComput Biol Med
September 2024
Computer Science Department, University of Sharjah, Sharjah 27272, United Arab Emirates. Electronic address:
Image segmentation plays a pivotal role in medical image analysis, particularly for accurately isolating tumors and lesions. Effective segmentation improves diagnostic precision and facilitates quantitative analysis, which is vital for medical professionals. However, traditional segmentation methods often struggle with multilevel thresholding due to the associated computational complexity.
View Article and Find Full Text PDFJ Clin Neurosci
September 2024
Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ, USA.
Neurocirugia (Astur : Engl Ed)
July 2024
Bursa Uludag University Faculty of Medicine, Department of Neurosurgery, 16120 Bursa, Turkey. Electronic address:
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!