A multi-reader comparison of normal-appearing white matter normalization techniques for perfusion and diffusion MRI in brain tumors.

Purpose: There remains no consensus normal-appearing white matter (NAWM) normalization method to compute normalized relative cerebral blood volume (nrCBV) and apparent diffusion coefficient (nADC) in brain tumors. This reader study explored nrCBV and nADC differences using different NAWM normalizati...

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Publicado en:Neuroradiology Vol. 65; no. 3; pp. 559 - 569
Autores principales: Cho, Nicholas S., Hagiwara, Akifumi, Sanvito, Francesco, Ellingson, Benjamin M.
Formato: pictorial research tables/charts Journal Article
Publicado: Springer Nature Mar2023
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2023
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00234-022-03072-y
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        atl: A multi-reader comparison of normal-appearing white matter normalization techniques for perfusion and diffusion MRI in brain tumors.
      aug:
        au:
          Cho, Nicholas S.
          Hagiwara, Akifumi
          Sanvito, Francesco
          Ellingson, Benjamin M.
        affil: Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
      sug:
        subj:
          White Matter
          Cerebral Blood Volume Evaluation
          Brain Neoplasms
          Human
          Funding Source
          Descriptive Statistics
          Intraclass Correlation Coefficient
          Diffusion
          Perfusion
          Magnetic Resonance Imaging
          Glioma
          Comparative Studies
          Power Analysis
          In Situ Hybridization, Fluorescence
          Sequence Analysis
          Validation Studies
          Reproducibility of Results
      ab: Purpose: There remains no consensus normal-appearing white matter (NAWM) normalization method to compute normalized relative cerebral blood volume (nrCBV) and apparent diffusion coefficient (nADC) in brain tumors. This reader study explored nrCBV and nADC differences using different NAWM normalization methods. Methods: Thirty-five newly diagnosed glioma patients were studied. For each patient, two readers created four NAWM regions of interests: (1) a single plane in the centrum semiovale (CSOp), (2) 3 spheres in the centrum semiovale (CSOs), (3) a single plane in the slice of the tumor center (TUMp), and (4) 3 spheres in the slice of the tumor center (TUMs). Readers repeated NAWM segmentations 1 month later. Differences in nrCBV and nADC of the FLAIR hyperintense tumor, inter-/intra-reader variability, and time to segment NAWM were assessed. As a validation step, the diagnostic performance of each method for IDH-status prediction was evaluated. Results: Both readers obtained significantly different nrCBV (P <.001), nADC (P <.001), and time to segment NAWM (P <.001) between the four normalization methods. nrCBV and nADC were significantly different between CSO and TUM methods, but not between planar and spherical methods in the same NAWM region. Broadly, CSO methods were quicker than TUM methods, and spherical methods were quicker than planar methods. For all normalization techniques, inter-reader reproducibility and intra-reader repeatability were excellent (intraclass correlation coefficient > 0.9), and the IDH-status predictive performance remained similar. Conclusion: The selected NAWM region significantly impacts nrCBV and nADC values. CSO methods, particularly CSOs, may be preferred because of time reduction, similar reader variability, and similar diagnostic performance compared to TUM methods.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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