Agreement between region-of-interest- and parametric map-based hepatic proton density fat fraction estimation in adults with chronic liver disease.

Purpose: To compare agreement between region-of-interest (ROI)- and parametric map-based methods of hepatic proton density fat fraction (PDFF) estimation in adults with known or suspected hepatic steatosis secondary to chronic liver disease over a range of imaging and analysis conditions. Materials...

Descripción completa

Detalles Bibliográficos
Publicado en:Abdominal Radiology Vol. 42; no. 3; pp. 833 - 842
Autores principales: Manning, Paul, Hamilton, Gavin, Wang, Kang, Park, Chulhyun, Hooker, Jonathan, Wolfson, Tanya, Gamst, Anthony, Haufe, William, Schlein, Alex, Middleton, Michael, Sirlin, Claude
Formato: Journal Article
Publicado: Springer Nature Mar2017
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=121882277&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 121882277
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        2366004X
        JT14
      jtl: Abdominal Radiology
      issn: 2366004X
      maglogo: N
    pubinfo:
      dt: Mar2017
      vid: 42
      iid: 3
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        121882277
        143918820
        10.1007/s00261-016-0925-2
        121882277
      ppf: 833
      ppct: 9
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Agreement between region-of-interest- and parametric map-based hepatic proton density fat fraction estimation in adults with chronic liver disease.
      aug:
        au:
          Manning, Paul
          Hamilton, Gavin
          Wang, Kang
          Park, Chulhyun
          Hooker, Jonathan
          Wolfson, Tanya
          Gamst, Anthony
          Haufe, William
          Schlein, Alex
          Middleton, Michael
          Sirlin, Claude
        affil: Liver Imaging Group, Department of Radiology , University of California at San Diego , 408 Dickinson Street San Diego 92103-8226 USA
      sug:
      ab: Purpose: To compare agreement between region-of-interest (ROI)- and parametric map-based methods of hepatic proton density fat fraction (PDFF) estimation in adults with known or suspected hepatic steatosis secondary to chronic liver disease over a range of imaging and analysis conditions. Materials and methods: In this IRB approved HIPAA compliant prospective single-site study, 31 adults with chronic liver disease undergoing clinical gadoxetic acid-enhanced liver magnetic resonance imaging at 3 T were recruited. Multi-echo gradient-echo imaging at flip angles of 10° and 50° was performed before and after administration of gadoxetic acid. Six echoes were acquired at successive nominally out-of-phase and in-phase echo times. PDFF was estimated with a nonlinear fitting algorithm using the first two, three, four, five, and (all) six echoes. Hence, 20 different imaging and analysis conditions were used (pre/post contrast x low/high flip angle x 2/3/4/5/6 echoes). For each condition, PDFF estimation was done in corresponding liver locations using two methods: a region-of-interest (ROI)-based method in which mean signal intensity values within ROIs were run through the fitting algorithm, and a parametric map-based method in which individual signal intensities were run through the fitting algorithm pixel by pixel. Agreement between ROI- and map-based PDFF estimation was assessed by Bland-Altman and intraclass correlation (ICC) analysis. Results: Depending on the condition and method, PDFF ranged from −2.52% to 45.57%. Over all conditions, mean differences between ROI- and map-based PDFF estimates ranged from 0.04% to 0.24%, with all ICCs ≥0.999. Conclusion: Agreement between ROI- and parametric map-based PDFF estimation is excellent over a wide range of imaging and analysis conditions.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N