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A role of FDG PET/CT for Response Assessment in Large Vessel Disease?

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  • معلومة اضافية
    • Contributors:
      UCL - SSS/IREC/MIRO - Pôle d'imagerie moléculaire, radiothérapie et oncologie; UCL - (SLuc) Service de médecine nucléaire
    • بيانات النشر:
      W.B. Saunders
    • الموضوع:
      2023
    • Collection:
      DIAL@UCL (Université catholique de Louvain)
    • نبذة مختصرة :
      Currently, a large amount of evidence-based data clearly demonstrates the usefulness of [F]FDG PET/CT in the diagnosis of several infectious and inflammatory diseases, including those related to the large vessels. The aim of this article is to clarify whether, beyond initial diagnosis, [F]FDG PET/CT may have a role in treatment response assessment in inflammatory or infectious diseases of the large vessels, including large vessel vasculitis, vascular graft infection, retroperitoneal fibrosis/chronic periaortitis and infective native aortic aneurysms. Rapidly accumulating data suggest that [F]FDG PET/CT could be a valuable imaging method for therapy monitoring in some infectious and inflammatory diseases of large vessels. The available data, albeit preliminary, indicate that [F]FDG PET/CT could even play a pivotal role in the management of these diseases, leading to better drug dosage, confirmation of the usefulness of the treatment, and early modification of the therapeutic strategy. However, to date, the role of [F]FDG PET/CT for treatment assessment in large vessel diseases, in particular large vessel vasculitis, is not clearly defined and well-designed prospective studies are needed to confirm its possible role in treatment monitoring and treatment guidance.
    • ISSN:
      0001-2998
      1558-4623
    • Relation:
      boreal:277230; http://hdl.handle.net/2078.1/277230; info:pmid/36075772; urn:ISSN:0001-2998; urn:EISSN:1558-4623
    • الرقم المعرف:
      10.1053/j.semnuclmed.2022.08.002
    • الدخول الالكتروني :
      http://hdl.handle.net/2078.1/277230
      https://doi.org/10.1053/j.semnuclmed.2022.08.002
    • Rights:
      info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.CC2E8707