Literature DB >> 24395290

Statistical analysis of multi-b factor diffusion weighted images can help distinguish between vasogenic and tumor-infiltrated edema.

Christophe Vandendries1, Denis Ducreux, Catherine Lacroix, Béatrice Ducot, Guillaume Saliou.   

Abstract

PURPOSE: The diffusion model can be transformed into a multicompartment model by means of multi-b factor diffusion-weighted sequences. We adapted a method of statistical analysis of these images and evaluated its performance to distinguish tumor-infiltrated edema from vasogenic edema.
MATERIALS AND METHODS: Forty-nine patients with infiltrating tumors (38 patients: low to high-grade gliomas) or vasogenic edema (11 patients: metastases, abscess, extra-axial lesions) were studied by multi-b factor diffusion-weighted imaging. Comparison of histological results and morphological and perfusion MRI defined 69 characteristic volumes of interest in the peritumoral edema of 69 distinct infiltrating lesions (40) or lesions inducing vasogenic edema (29).
RESULTS: The factorial analysis had a sensitivity of 92.9% and a specificity of 90.6% between tumor-infiltrated and vasogenic edema. Simplified interpretation confined to values of the high and mean diffusivity compartments had a sensitivity of 87.5% and a specificity of 89.2% between strictly tumor-infiltrated edema and vasogenic edema with the advantage of simplified interpretation based on two-color parametric mapping.
CONCLUSION: Discrimination between tumor-infiltrated edema and vasogenic edema can be achieved by means of a 90-s multi-b factor diffusion-weighted sequence and factorial analysis. Simplified visual and quantitative interpretation of the results should also allow integration of multi-b factor analysis into routine neuroradiology practice.
© 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  brain; factorial analysis; multi-b DWI; tumor-infiltrated edema; vasogenic edema

Mesh:

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Year:  2013        PMID: 24395290     DOI: 10.1002/jmri.24399

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  3 in total

1.  Perilesional edema in brain metastasis from non-small cell lung cancer (NSCLC) as predictor of response to radiosurgery (SRS).

Authors:  Paolo Tini; Valerio Nardone; Pierpaolo Pastina; Giuseppe Battaglia; Claudia Vinciguerra; Tommaso Carfagno; Giovanni Rubino; Salvatore Francesco Carbone; Lucio Sebaste; Alfonso Cerase; Antonio Federico; Luigi Pirtoli
Journal:  Neurol Sci       Date:  2017-03-04       Impact factor: 3.307

Review 2.  Radiotherapy of high-grade gliomas: current standards and new concepts, innovations in imaging and radiotherapy, and new therapeutic approaches.

Authors:  Frederic Dhermain
Journal:  Chin J Cancer       Date:  2014-01

3.  Diagnostic Value of Diffusion-weighted Magnetic Resonance (MR) Imaging, MR Perfusion, and MR Spectroscopy in Addition to Conventional MR Imaging in Intracranial Space-occupying Lesions.

Authors:  Zeynep B Aydın; Hasan Aydın; Erdem Birgi; Baki Hekimoğlu
Journal:  Cureus       Date:  2019-12-18
  3 in total

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