Literature DB >> 30316462

Quantitative Whole-Body Diffusion-Weighted MR Imaging.

Ricardo Donners1, Matthew Blackledge2, Nina Tunariu3, Christina Messiou3, Elmar M Merkle1, Dow-Mu Koh4.   

Abstract

Whole-body diffusion-weighted MRI has emerged as a powerful diagnostic tool for disease detection and staging mainly used in systemic bone disease. The large field-of-view functional imaging technique highlights cellular tumor and suppresses normal tissue signal, allowing quantification of an estimate of total disease burden, summarized as the total diffusion volume (tDV), as well as global apparent diffusion coefficient (gADC) measurements. Both tDV and gADC have been shown to be repeatable quantitative parameters that indicate tumor heterogeneity and treatment effects, thus potential, noninvasive, imaging biomarkers informing on disease prognosis and therapy response.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  DWI; Diffusion; MR Imaging; Quantitative; Whole body

Mesh:

Year:  2018        PMID: 30316462     DOI: 10.1016/j.mric.2018.06.002

Source DB:  PubMed          Journal:  Magn Reson Imaging Clin N Am        ISSN: 1064-9689            Impact factor:   2.266


  6 in total

1.  Repeatability and reproducibility of ADC measurements: a prospective multicenter whole-body-MRI study.

Authors:  Nicolas F Michoux; Jakub W Ceranka; Jef Vandemeulebroucke; Frank Peeters; Pierre Lu; Julie Absil; Perrine Triqueneaux; Yan Liu; Laurence Collette; Inneke Willekens; Carola Brussaard; Olivier Debeir; Stephan Hahn; Hubert Raeymaekers; Johan de Mey; Thierry Metens; Frédéric E Lecouvet
Journal:  Eur Radiol       Date:  2021-01-06       Impact factor: 5.315

2.  The Primacy of High B-Value 3T-DWI Radiomics in the Prediction of Clinically Significant Prostate Cancer.

Authors:  Alessandro Bevilacqua; Margherita Mottola; Fabio Ferroni; Alice Rossi; Giampaolo Gavelli; Domenico Barone
Journal:  Diagnostics (Basel)       Date:  2021-04-21

3.  Computed tomography (CT) and magnetic resonance imaging (MRI) of diffuse liver disease: a multiparametric predictive modelling algorithm can aid categorization of liver parenchyma.

Authors:  Ricardo Donners; Carmen Zaugg; Julian E Gehweiler; Tuyana Boldanova; Markus H Heim; Luigi M Terracciano; Daniel T Boll
Journal:  Quant Imaging Med Surg       Date:  2022-02

4.  Assessment of the Spatial Heterogeneity of Breast Cancers: Associations Between Computed Tomography and Immunohistochemistry.

Authors:  David K Woolf; Sonia P Li; Simone Detre; Alison Liu; Andrew Gogbashian; Ian C Simcock; James Stirling; Michael Kosmin; Gary J Cook; Muhammad Siddique; Mitch Dowsett; Andreas Makris; Vicky Goh
Journal:  Biomark Cancer       Date:  2019-06-04

5.  Whole-body diffusion-weighted MRI in lymphoma-comparison of global apparent diffusion coefficient histogram parameters for differentiation of diseased nodes of lymphoma patients from normal lymph nodes of healthy individuals.

Authors:  Ricardo Donners; Raphael Shih Zhu Yiin; Dow-Mu Koh; Katja De Paepe; Ian Chau; Sue Chua; Matthew D Blackledge
Journal:  Quant Imaging Med Surg       Date:  2021-08

6.  Effects of Sex and Age on Fat Fraction, Diffusion-Weighted Image Signal Intensity and Apparent Diffusion Coefficient in the Bone Marrow of Asymptomatic Individuals: A Cross-Sectional Whole-Body MRI Study.

Authors:  Alberto Colombo; Luca Bombelli; Paul E Summers; Giulia Saia; Fabio Zugni; Giulia Marvaso; Robert Grimm; Barbara A Jereczek-Fossa; Anwar R Padhani; Giuseppe Petralia
Journal:  Diagnostics (Basel)       Date:  2021-05-20
  6 in total

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