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Cardiac Computed Tomography for Quantification of Myocardial Extracellular Volume Fraction: A Systematic Review and Meta-Analysis.
Han, Donghee; Lin, Andrew; Kuronuma, Keiichiro; Gransar, Heidi; Dey, Damini; Friedman, John D; Berman, Daniel S; Tamarappoo, Balaji K.
Afiliação
  • Han D; Department of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Lin A; Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Kuronuma K; Department of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Gransar H; Department of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Dey D; Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Friedman JD; Department of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA.
  • Berman DS; Department of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA. Electronic address: Daniel.Berman@cshs.org.
  • Tamarappoo BK; Cardiovascular Institute, Indiana University School of Medicine, Indianapolis, Indiana, USA.
JACC Cardiovasc Imaging ; 16(10): 1306-1317, 2023 10.
Article em En | MEDLINE | ID: mdl-37269267
BACKGROUND: Extracellular volume (ECV) is a quantitative measure of extracellular compartment expansion, and an increase in ECV is a marker of myocardial fibrosis. Although cardiac magnetic resonance (CMR) is considered the standard imaging tool for ECV quantification, cardiac computed tomography (CT) has also been used for ECV assessment. OBJECTIVES: The aim of this meta-analysis was to evaluate the correlation and agreement in the quantification of myocardial ECV by CT and CMR. METHODS: PubMed and Web of Science were searched for relevant publications reporting on the use of CT for ECV quantification compared with CMR as the reference standard. The authors employed a meta-analysis using the restricted maximum-likelihood estimator with a random-effects method to estimate summary correlation and mean difference. A subgroup analysis was performed to compare the correlation and mean differences between single-energy CT (SECT) and dual-energy CT (DECT) techniques for the ECV quantification. RESULTS: Of 435 papers, 13 studies comprising 383 patients were identified. The mean age range was 57.3 to 82 years, and 65% of patients were male. Overall, there was an excellent correlation between CT-derived ECV and CMR-derived ECV (mean: 0.90 [95% CI: 0.86-0.95]). The pooled mean difference between CT and CMR was 0.96% (95% CI: 0.14%-1.78%). Seven studies reported correlation values using SECT, and 4 studies reported those using DECT. The pooled correlation from studies utilizing DECT for ECV quantification was significantly higher compared with those with SECT (mean: 0.94 [95% CI: 0.91-0.98] vs 0.87 [95% CI: 0.80-0.94], respectively; P = 0.01). There was no significant difference in pooled mean differences between SECT vs DECT (P = 0.85). CONCLUSIONS: CT-derived ECV showed an excellent correlation and mean difference of <1% with CMR-derived ECV. However, the overall quality of the included studies was low, and larger, prospective studies are needed to examine the accuracy and diagnostic and prognostic utility of CT-derived ECV.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cardiomiopatias / Miocárdio Tipo de estudo: Observational_studies / Systematic_reviews Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: JACC Cardiovasc Imaging Assunto da revista: ANGIOLOGIA / CARDIOLOGIA / DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cardiomiopatias / Miocárdio Tipo de estudo: Observational_studies / Systematic_reviews Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: JACC Cardiovasc Imaging Assunto da revista: ANGIOLOGIA / CARDIOLOGIA / DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos