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Midaortic syndrome (MAS) presents challenges in diagnosis due to the absence of well-defined diagnostic criteria in pediatric patients. This retrospective study aimed to aid in the diagnosis of MAS by employing computed tomography (CT) to measure the z-score of the aorta as well as to identify and understand its clinical features. CT images, echocardiography findings, and medical records of 17 patients diagnosed with MAS between 1997 and 2023 were reviewed, and z-scores were calculated. Aortic size on follow-up CT, blood pressure, and left ventricular function and hypertrophy at the last follow-up were analyzed, and possible prognostic factors were examined. Except for one patient, all individuals exhibited a z-score below - 2 at the level corresponding to stenosis. Left ventricular dysfunction occurred more frequently in patients aged < 5 years (p = 0.024). Patients with idiopathic MAS showed a better prognosis in terms of blood pressure and follow-up aortic size (p = 0.051 and 0.048, respectively). CT-measured aortic z-scores may be useful for the diagnosis and follow-up of MAS.
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http://dx.doi.org/10.1007/s00246-023-03399-0 | DOI Listing |
JAMA Neurol
September 2025
Department of Radiology, University of Washington, Seattle.
Importance: Recent longitudinal studies in patients with unruptured intracranial aneurysms (UIAs) suggested that aneurysm wall enhancement (AWE) on magnetic resonance imaging (MRI) predicts growth and rupture. However, because these studies were limited by small sample size and short follow-up duration, it remains unclear whether this radiological biomarker has predictive value for UIA instability.
Objective: To determine the 4-year risk of instability of UIAs with AWE and investigate whether AWE is an independent predictor of UIA instability.
J Child Neurol
September 2025
Department of Epidemiology and Environmental Health, State University of New York at Buffalo, Buffalo, NY, USA.
Mass psychogenic illness (MPI), also known as mass sociogenic illness, is a functional neurologic symptom disorder affecting multiple people simultaneously. This study presents a pediatric MPI outbreak involving abrupt-onset tics in LeRoy, NY, during 2011-2012. The analysis provides diagnostic evidence and highlights challenges with diagnosing MPI.
View Article and Find Full Text PDFJACC Cardiovasc Imaging
September 2025
Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA.
Background: Coronary computed tomography angiography (CTA)-derived plaque burden is associated with the risk of cardiovascular events and is expected to be used in clinical practice. Understanding the normative values of computed tomography-based quantitative plaque volume in the general population is clinically important for determining patient management.
Objectives: This study aimed to investigate the distribution of plaque volume in the general population and to develop nomograms using MiHEART (Miami Heart Study) at Baptist Health South Florida, a large community-based cohort study.
ACS Sens
September 2025
Department of Pharmacy, The People's Hospital of Guangxi Zhuang Autonomous Region & Guangxi Academy of Medical Sciences, Nanning, Guangxi 530021, China.
Alzheimer's disease (AD) is a progressive neurodegenerative disorder primarily characterized by cognitive decline and behavioral impairments, typically manifesting in the elderly and presenile population. With the rapid global aging trend, early diagnosis and treatment of AD have become increasingly urgent research priorities. The primary pathological features of AD include excessive accumulation of β-amyloid (Aβ) plaques, the formation of neurofibrillary tangles, and neuronal loss.
View Article and Find Full Text PDFJ Thorac Imaging
September 2025
Department of Radiology, the Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University.
Purpose: To establish an explainable machine learning (ML) approach using patient-related and noncontrast chest CT-derived features to predict the contrast material arrival time (TARR) in CT pulmonary angiography (CTPA).
Materials And Methods: This retrospective study included consecutive patients referred for CTPA between September 2023 to October 2024. Sixteen clinical and 17 chest CT-derived parameters were used as inputs for the ML approach, which employed recursive feature elimination for feature selection and XGBoost with SHapley Additive exPlanations (SHAP) for explainable modeling.