Q Fever Endocarditis: A Review of Local and all Reported Cases in the Literature

Jaltotage, Biyanka; Ali, Umar; Dorai-Raj, A.; Rankin, Jamie; Sanfilippo, Frank M; Dwivedi, Girish

doi:10.1016/j.hlc.2021.04.022

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…According to the 2019 report from the European Center for Disease Prevention and Control (ECDC), the highest QF notification rate in Europe was observed in Spain (0.7 cases per 100,000 population). 1 QF is usually transmitted from farm animals, mainly cattle, sheep, and goats, via inhalation of contaminated aerosols. Acute QF is usually asymptomatic in children.…”

Section: Denouementmentioning

confidence: 99%

Prolonged Fever in a Child With Congenital Heart Disease and a Prosthetic Valve

Huguet

Lasheras

Fernández

et al. 2023

Pediatric Infectious Disease Journal

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Section: Denouementmentioning

confidence: 99%

Prolonged Fever in a Child With Congenital Heart Disease and a Prosthetic Valve

Huguet

Lasheras

Fernández

et al. 2023

Pediatric Infectious Disease Journal

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“…For example, the diagnosis of infectious (native or prosthetic valve) endocarditis currently requires a composite of clinical, microbiological and imaging (ultrasound and [ 18 F]FDG PET) to accomplish reasonable sensitivity and specificity (Chakfe et al 2020 ; Habib et al 2015 ). However, this investment in diagnostic accuracy is mandatory as we have learned that insufficient treatment of even these small intravascular infectious foci is associated with increased mortality (Jaltotage et al 2021 ; Chirillo 2021 ).…”

Section: Introductionmentioning

confidence: 99%

A role for artificial intelligence in molecular imaging of infection and inflammation

Schwenck

Kneilling

Riksen

et al. 2022

European J Hybrid Imaging

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The detection of occult infections and low-grade inflammation in clinical practice remains challenging and much depending on readers’ expertise. Although molecular imaging, like [18F]FDG PET or radiolabeled leukocyte scintigraphy, offers quantitative and reproducible whole body data on inflammatory responses its interpretation is limited to visual analysis. This often leads to delayed diagnosis and treatment, as well as untapped areas of potential application. Artificial intelligence (AI) offers innovative approaches to mine the wealth of imaging data and has led to disruptive breakthroughs in other medical domains already. Here, we discuss how AI-based tools can improve the detection sensitivity of molecular imaging in infection and inflammation but also how AI might push the data analysis beyond current application toward predicting outcome and long-term risk assessment.

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