Background And Purpose: In patients with SAH with multiple intracranial aneurysms, often the hemorrhage pattern does not indicate the rupture source. Angiographic findings (intracranial aneurysm size and shape) could help but may not be reliable. Our purpose was to test whether existing parameters could identify the ruptured intracranial aneurysm in patients with multiple intracranial aneurysms and whether composite predictive models could improve the identification.
Materials And Methods: We retrospectively collected angiographic and medical records of 93 patients with SAH with at least 2 intracranial aneurysms (total of 206 saccular intracranial aneurysms, 93 ruptured), in which the ruptured intracranial aneurysm was confirmed through surgery or definitive hemorrhage patterns. We calculated 13 morphologic and 10 hemodynamic parameters along with location and type (sidewall/bifurcation) and tested their ability to identify rupture in the 93 patients. To build predictive models, we randomly assigned 70 patients to training and 23 to holdout testing cohorts. Using a linear regression model with a customized cost function and 10-fold cross-validation, we trained 2 rupture identification models: RIM using all parameters and RIM excluding hemodynamics.
Results: The 25 study parameters had vastly different positive predictive values (31%-87%) for identifying rupture, the highest being size ratio at 87%. RIM incorporated size ratio, undulation index, relative residence time, and type; RIM had only size ratio, undulation index, and type. During cross-validation, positive predictive values for size ratio, RIM, and RIM were 86% ± 4%, 90% ± 4%, and 93% ± 4%, respectively. In testing, size ratio and RIM had positive predictive values of 85%, while RIM had 92%.
Conclusions: Size ratio was the best individual factor for identifying the ruptured aneurysm; however, RIM, followed by RIM, outperformed existing parameters.
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http://dx.doi.org/10.3174/ajnr.A6259 | DOI Listing |
Jpn J Radiol
January 2025
Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
Purpose: To evaluate the effects of four-dimensional noise reduction filtering using a similarity algorithm (4D-SF) on the image quality and tumor visibility of low-dose dynamic computed tomography (CT) in evaluating breast cancer.
Materials And Methods: Thirty-four patients with 38 lesions who underwent low-dose dynamic breast CT and were pathologically diagnosed with breast cancer were enrolled. Dynamic CT images were reconstructed using iterative reconstruction alone or in combination with 4D-SF.
J Psychiatry Neurosci
January 2025
From the Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Qiao, Zhao, Cong, Y. Li, Tian, Yang, Cao, Su); the School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China (Zhu); the Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China (P. Li).
Background: White matter damage is closely associated with cognitive and psychiatric symptoms and is prevalent in cerebral small vessel disease (CSVD); although the pathophysiological mechanisms involved in CSVD remain elusive, inflammation plays a crucial role. We sought to investigate the relationship between systemic inflammation markers and imaging markers of CVSD, namely white matter hyperintensity (WMH) and microstructural injury.
Methods: We conducted a study involving both cross-sectional and longitudinal data from the UK Biobank Cohort.
J Matern Fetal Neonatal Med
December 2025
Department of Gynaecology, Huzhou Maternity and Child Health Care Hospital, Huzhou City, Zhejiang Province, China.
Objective: Cardiac diseases that require surgical intervention present a unique challenge during pregnancy and may affect both maternal and neonatal outcomes. This systematic review and meta-analysis aimed to evaluate maternal and neonatal outcomes in pregnant females undergoing cardiac surgery.
Methods: A comprehensive manual and electronic search was conducted in PubMed, EMBASE, Cochrane Library, and Web of Sciences databases for studies published up to 31 May 2024.
J Affect Disord
January 2025
Department of Epidemiology, Boston University School of Public Health, 715 Albany Street, Boston, MA, USA.
Background: Identifying risk factors for postpartum depression (PPD) is critical to inform early intervention efforts. This study investigated the impact of adverse perinatal events on PPD.
Methods: We analyzed data from the Pregnancy Study Online (PRESTO), a North American prospective preconception cohort study.
Metabolism
January 2025
Department of Internal Medicine, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Background & Aims: Recent epidemiologic studies on the association between higher consumption of ultra-processed foods (UPF) and risk of incident diabetes have reported conflicting results in populations worldwide. We conducted an updated systematic review and meta-analysis to quantify the magnitude of this association.
Methods: PubMed and Embase databases were systematically searched (from 2009 to November 14, 2024) for prospective cohort studies reporting data on the association between UPF intake (defined by the NOVA classification) and the risk of incident diabetes or its complications in adults (>18 years).
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