Purpose: Aortic endograft infection (EI) can result in potentially life-threatening vascular complications. Unfortunately, it is difficult to obtain a correct diagnosis at an early stage in many patients. This report aims at validating the use of [F] FDG PET/CT imaging for suspected endograft infections in a prospectively collected cohort of patients treated with EVAR and TEVAR.
Materials And Methods: During a 14-year period, 366 patients required aortic stent graft. All procedures were performed electively, except for one patient. Among these 366 patients, eleven patients (3%) were suspected to have aortic EI. Contrast-enhanced CT and FDG PET/CT were performed in all 11 patients. Medical charts and imaging were analysed for these 11 cases, with initial positive CT.
Results: The final diagnosis of EI was established in seven (1,9%) based on clinical features, laboratory investigations and a significant [F] FDG uptake in the aortic graft as well as the aortic wall. The median time from the initial EVAR/TEVAR to diagnosed infection was 180 days. During follow-up, the seven patients had a second PET/CT that was compared with the initial evaluation, decreased uptake was correlated with clinical improvement.
Conclusions: Contemporary diagnostic imaging for a potentially lethal endograft infection lacks precision, this observational study illustrates the potential clinical value of [F] FDG PET/CT in the management of aortic EI. [F] FDG PET/CT constitutes an imaging modality able to confirm the diagnosis, monitor disease progression as well as the effect of pharmaceutical treatment and detect relapse.
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http://dx.doi.org/10.1080/00015385.2021.1949105 | DOI Listing |
Alzheimers Dement
December 2024
Sorbonne Université, Paris Brain Institute (ICM), INSERM, CNRS, UMR-1127, Mov'It, DreamTeam, Paris, France.
Background: Spectral power of slow rhythms in resting-state EEG increases along Alzheimer's disease (AD) continuum. Besides, recent studies have revealed 1) the importance of analyzing the aperiodic component of an EEG power spectrum and 2) the intrusions of sleep-like slow waves identifiable in wake EEG of animals and young adults. Importantly, the occurrence of these wake slow waves is known i) to increase after sleep deprivation, ii) to be associated with markers of sleepiness, and iii) to predict behavioral errors at different tasks.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden.
Background: [F]FDG PET is essential since it allows us to differentiate between different dementia disorders/types, revealing distinct neurodegenerative patterns in those predisposed to the condition. Individuals with Autosomal Dominant Alzheimer's Disease (ADAD) have a predictable age of onset, enabling the study of cognitive and pathological changes before clinical manifestation. Our objective was to investigate temporal course and regional links between cognition and glucose metabolism as a measure of early synaptic impairment in ADAD.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Reina Sofia Alzheimer Centre, CIEN Foundation, ISCIII, Madrid, Spain.
Background: About 20-30% of clinically diagnosed AD dementia patients do not meet pathologic criteria for AD and this proportion is even higher in amnestic MCI. Among tau-negative amnestic patients, limbic-predominant age-related TDP-43 encephalopathy (LATE) has been described as a principal diagnostic alternative, especially at advanced age. LATE is characterized by a specific temporo-limbic hypometabolic signature on FDG-PET that may aid in differential diagnosis.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Kansas Medical Center, Kansas City, KS, USA.
Background: Cerebral blood flow (CBF) and glucose utilization have both proven sensitive biomarkers of brain function in Alzheimer's disease. However, while blood flow supplies glucose to cells to meet local demand, and therefore, are inter-related, the two aspects are physiologically distinct. Our goal was to conduct a region-to-region correlation of magnetic resonance imaging (MRI) and F-fluorodeoxyglucose positron emission tomography (FDG-PET) biomarkers of cerebral blood flow and glucose utilization to determine whether these physiologically distinct biomarkers yield functionally distinct information.
View Article and Find Full Text PDFBackground: Alzheimer's disease and type 2 diabetes mellitus rank among the top ten leading global causes of death. The association between diabetes and Alzheimer's is linked to chronic low-grade inflammation, hyperinsulinemia, and the interplay between peripheral and central insulin resistance, influencing insulin signalling. We evaluated the association between diabetes and Alzheimer's-related neuropathology in cognitively unimpaired older adults with diabetes.
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