Recurrent pericarditis: current challenges and future prospects

Claire Dauphin,1 Etienne Merlin,2 Aurélie Chalard,1 Romain Trésorier,1 Jean-René Lusson,1 Martin Soubrier3 1Department of Cardiology and Cardiovascular Diseases, 2Department of Pediatrics, 3Department of Rheumatology, Clermont-Ferrand Hospital, Clermont-Ferrand, France Abstract: Recurrent pericarditis, usually idiopathic, is difficult to treat. Previous etiological studies can eliminate potentially serious causes that require specific treatment. The pathophysiology of “idiopathic” pericarditis involves autoimmunity and autoinflammation in various degrees and is usually caused by a microbacteriological or postinjury trigger. It requires multidisciplinary care to provide individualized treatment to each patient: treatment escalation by increments, then weaning should be guided by clinical examination but also CRP and potential magnetic resonance imaging. The role of immunomodulators, especially anakinra, should be revisited. Their efficacy is remarkable, and they could be considered for second-line treatment, preferably with corticosteroids (at least among certain selected patients), especially after the failure of prolonged and high-dose standard therapy with aspirin/nonsteroidal anti-inflammatory drugs and colchicine. Keywords: recurrent pericarditis, review, pathophysiology, individualized treatment, multidisciplinary care, treatment options&nbsp

Preliminary results for the supervised detection of lumen and stent from OCT pullbacks

International audienceIn cardiology, optical coherence tomography (OCT) has been established as a reference for in vivo intravascular image. OCT provides high-resolution and enables us to visualize accurately vessel intimal layers and stents. The drawback is the time necessary to manually select stent struts and lumen boundary. We developed and evaluated an automatic stent strut detection method to apply to intravascular OCT images. The proposed approach innovates the strut shadow detection, which can be considered as an independent processing step that helps discriminating struts by using a profile map. The paper will be presented as a complete process, explaining the necessary steps in order of appearance