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Computed tomography perfusion stroke mimics on RAPID commercial software: A case-based review.
Ahmed, Amara; Hamam, Omar; Niri, Sanaz Ghaderi; Oeltzchner, Georg; Garg, Tushar; Elmandouh, Omar; Intrapiromkul, Jarunee; Yedavalli, Vivek.
Afiliação
  • Ahmed A; Department of Clinical Sciences, Florida State University College of Medicine, Tallahassee, FL, USA.
  • Hamam O; Division of Neuroradiology, Massachusetts General Hospital, Boston, MA, USA.
  • Niri SG; Department of Radiology, Mayo Clinic, Jacksonville, FL, USA.
  • Oeltzchner G; Department of Radiology, Mayo Clinic, Jacksonville, FL, USA.
  • Garg T; Department of Radiology, Mayo Clinic, Jacksonville, FL, USA.
  • Elmandouh O; Russell H. Morgan Department of Radiology and Radiological Science, Division of Neuroradiology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Intrapiromkul J; Department of Radiology, Mayo Clinic, Jacksonville, FL, USA.
  • Yedavalli V; Department of Radiology, Mayo Clinic, Jacksonville, FL, USA.
Brain Circ ; 9(2): 68-76, 2023.
Article em En | MEDLINE | ID: mdl-37576575
Acute ischemic stroke (AIS) is a leading cause of morbidity worldwide and can present with nonspecific symptoms, making diagnosis difficult. Many neurologic diseases present similarly to stroke; stroke mimics account for up to half of all hospital admissions for stroke. Stroke therapies carry risk, so accurate diagnosis of AIS is crucial for prompt treatment and prevention of adverse outcomes for patients with stroke mimics. Computed tomography (CT) perfusion techniques have been used to distinguish between nonviable tissue and penumbra. RAPID is an operator-independent, automated CT perfusion imaging software that can aid clinicians in diagnosing strokes quickly and accurately. In this case-based review, we demonstrate the applications of RAPID in differentiating between strokes and stroke mimics.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Brain Circ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Brain Circ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos