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State-of-the-Art Quantification of Liver Iron With MRI-Vendor Implementation and Available Tools.
Tipirneni-Sajja, Aaryani; Shrestha, Utsav; Esparza, Juan; Morin, Cara E; Kannengiesser, Stephan; Roberts, Nathan T; Peeters, Johannes M; Sharma, Samir D; Hu, Houchun H.
Afiliação
  • Tipirneni-Sajja A; Department of Biomedical Engineering, The University of Memphis, Memphis, Tennessee, USA.
  • Shrestha U; Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
  • Esparza J; Department of Biomedical Engineering, The University of Memphis, Memphis, Tennessee, USA.
  • Morin CE; Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.
  • Kannengiesser S; Department of Biomedical Engineering, The University of Memphis, Memphis, Tennessee, USA.
  • Roberts NT; Department of Radiology, Cincinnati Children's Hospital, Cincinnati, Ohio, USA.
  • Peeters JM; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
  • Sharma SD; MR Applications Predevelopment, Siemens Healthineers AG, Erlangen, Germany.
  • Hu HH; MR Clinical Solutions & Research Collaborations, GE HealthCare, Waukesha, Wisconsin, USA.
J Magn Reson Imaging ; 2024 Aug 12.
Article em En | MEDLINE | ID: mdl-39133767
ABSTRACT
The role of MRI to estimate liver iron concentration (LIC) for identifying patients with iron overload and guiding the titration of chelation therapy is increasingly established for routine clinical practice. However, the existence of multiple MRI-based LIC quantification techniques limits standardization and widespread clinical adoption. In this article, we review the existing and widely accepted MRI-based LIC estimation methods at 1.5 T and 3 T signal intensity ratio (SIR) and relaxometry (R2 and R2*) and discuss the basic principles, acquisition and analysis protocols, and MRI-LIC calibrations for each technique. Further, we provide an up-to-date information on MRI vendor implementations and available offline commercial and free software for each MRI-based LIC quantification approach. We also briefly review the emerging and advanced MRI techniques for LIC estimation and their current limitations for clinical use. Lastly, we discuss the implications of MRI-based LIC measurements on clinical use and decision-making in the management of patients with iron overload. Some of the key highlights from this review are as follows 1) Both R2 and R2* can estimate accurate and reproducible LIC, when validated acquisition parameters and analysis protocols are applied, 2) Although the Ferriscan R2 method has been widely used, recent consensus and guidelines endorse R2*-MRI as the most accurate and reproducible method for LIC estimation, 3) Ongoing efforts aim to establish R2*-MRI as the standard approach for quantifying LIC, and 4) Emerging R2*-MRI techniques employ radial sampling strategies and offer improved motion compensation and broader dynamic range for LIC estimation. EVIDENCE LEVEL 1 TECHNICAL EFFICACY Stage 2.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article