Influence of the analysis technique on estimating hepatic iron content using MRI.

Purpose: To investigate the effect of the analysis technique on estimating hepatic iron content using MRI.Materials and Methods: We evaluated the influences of single-exponential (EXP), bi-exponential (BEXP), and exponential-plus-constant (CEXP) models; and pixel-wise (MAP), average (AVG), and media...

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Publicado en:Journal of Magnetic Resonance Imaging Vol. 44; no. 6; pp. 1448 - 1456
Autores principales: Ibrahim, El‐Sayed H., Khalifa, Ayman M., Eldaly, Ahmed K., Ibrahim, El-Sayed H
Formato: research Journal Article
Publicado: Wiley-Blackwell Dec2016
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2016
      vid: 44
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1002/jmri.25317
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        atl: Influence of the analysis technique on estimating hepatic iron content using MRI.
      aug:
        au:
          Ibrahim, El‐Sayed H.
          Khalifa, Ayman M.
          Eldaly, Ahmed K.
          Ibrahim, El-Sayed H
        affil: Department of Radiology, University of Michigan, Ann Arbor Michigan, USA
      sug:
        subj:
          Magnetic Resonance Imaging Methods
          Liver
          Image Interpretation, Computer Assisted Methods
          Anemia, Sickle Cell Metabolism
          Liver Metabolism
          Anemia, Sickle Cell
          Iron Metabolism
          Algorithms
          Adult
          Molecular Imaging Methods
          Reproducibility of Results
          Male
          Sensitivity and Specificity
          Female
          Human
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Adult: 19-44 years
          Male
          Female
      ab: Purpose: To investigate the effect of the analysis technique on estimating hepatic iron content using MRI.Materials and Methods: We evaluated the influences of single-exponential (EXP), bi-exponential (BEXP), and exponential-plus-constant (CEXP) models; and pixel-wise (MAP), average (AVG), and median (MED) signal calculation methods on T2* measurement using numerical simulations, calibrated phantoms, and nine patients scanned on 3 Tesla MRI, based on regression, correlation, and t-test statistical analysis.Results: The T2* measurement error varied from 9 to 51% in the numerical simulations (T2*: 5-20 ms), depending on signal-to-noise ratio (SNR; range: 8-233) with significant (P < 0.05) difference between actual and predicted values. The MAP method performed well (error < 10%) at high SNR (>100), but resulted in severe estimation errors at low SNR (<50). The EXP model resulted in significant measurement differences (P < 0.05) compared with all other methods, irrespective of SNR. In vivo T2* values ranged from 3.1 to 53.6 ms, depending on the amount of iron overload and implemented analysis method. The BEXP (range: 3.7-50 ms) and CEXP (range: 3.8-53.6 ms) models, and the AVG (range: 3.2-38.8 ms) and MED (range: 3.1-38.5 ms) methods provided more accurate measurements than the EXP model (range: 3.1-18.3 ms) and MAP (range: 3.8-53.6 ms) method, respectively (P < 0.05). The BEXP and CEXP models provided very similar measurements (P > 0.87). Similarly, the AVG and MED methods provided very similar results (P > 0.97), with slightly better performance of the AVG method.Conclusion: Different analysis techniques show different performances based on the fitting model and signal calculation method. Based on this study, the CEXP model and AVG method are recommended due to simpler implementation and less influence by the selected analysis region. J. Magn. Reson. Imaging 2016;44:1448-1455.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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