Publications by authors named "L Tessonnier"

Background: Transcatheter aortic valve replacement-related infective endocarditis (TAVR-IE) is associated with a poor prognosis. TAVR-IE diagnosis is challenging, and benefits of the most recent classifications (ESC-2015, ISCVID-2023 and ESC-2023) have not been compared with the conventional Duke criteria on this population.

Objectives: The primary objective was to compare the diagnostic value of the Duke, ESC-2015, ISCVID-2023, and ESC-2023 criteria for the diagnosis of TAVR-IE.

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  • * The study involved a randomized trial design with patients aged 18 or older who had inoperable stage III NSCLC and met certain health and treatment criteria, comparing an adaptive radiotherapy approach to standard treatment.
  • * Participants were divided into two groups: one received a radiation boost based on PET scans while the other group received standard radiation doses; all received chemotherapy as part of their treatment.
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  • * Researchers compared two groups of patients—one from the pandemic period and one from the previous year—looking at their clinical outcomes, treatments, and overall management.
  • * The findings indicated that the pandemic did not significantly affect the treatment and mortality rates of IE patients, though there was an increase in intravenous drug-related cases, highlighting a potential psychosocial impact of the pandemic.
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  • F-FDG PET/CT is now included in the ESC 2015 guidelines for diagnosing infective endocarditis, but its effectiveness in native valve endocarditis (NVE) is not fully understood.
  • A study involving 75 patients identified that while F-FDG PET/CT had low sensitivity (17.5%) for diagnosing NVE, it maintained high specificity (100%) and was effective for detecting embolic events.
  • The research also revealed a new diagnostic feature of diffuse splenic uptake seen in over half of the patients with NVE, suggesting its potential utility in clinical practice.
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Prognosis of high-risk neuroblastoma (HRNB) remains poor despite multimodal therapies. Better prediction of survival could help to refine patient stratification and better tailor treatments. We established a mechanistic model of metastasis in HRNB relying on two processes: growth and dissemination relying on two patient-specific parameters: the dissemination rate μ and the minimal visible lesion size S.

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