Literature DB >> 26892827

Diffusion-weighted imaging outside the brain: Consensus statement from an ISMRM-sponsored workshop.

Bachir Taouli1, Ambros J Beer2, Thomas Chenevert3, David Collins4, Constance Lehman5, Celso Matos6, Anwar R Padhani7, Andrew B Rosenkrantz8, Amita Shukla-Dave9, Eric Sigmund10, Lawrence Tanenbaum11, Harriet Thoeny12, Isabelle Thomassin-Naggara13, Sebastiano Barbieri12, Idoia Corcuera-Solano1, Matthew Orton4, Savannah C Partridge14, Dow-Mu Koh15.   

Abstract

The significant advances in magnetic resonance imaging (MRI) hardware and software, sequence design, and postprocessing methods have made diffusion-weighted imaging (DWI) an important part of body MRI protocols and have fueled extensive research on quantitative diffusion outside the brain, particularly in the oncologic setting. In this review, we summarize the most up-to-date information on DWI acquisition and clinical applications outside the brain, as discussed in an ISMRM-sponsored symposium held in April 2015. We first introduce recent advances in acquisition, processing, and quality control; then review scientific evidence in major organ systems; and finally describe future directions. J. Magn. Reson. Imaging 2016;44:521-540.
© 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  breast; cancer; diffusion; kidney; liver; prostate; whole body imaging

Mesh:

Year:  2016        PMID: 26892827      PMCID: PMC4983499          DOI: 10.1002/jmri.25196

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


  118 in total

1.  Short- and midterm reproducibility of apparent diffusion coefficient measurements at 3.0-T diffusion-weighted imaging of the abdomen.

Authors:  Adam C Braithwaite; Brian M Dale; Daniel T Boll; Elmar M Merkle
Journal:  Radiology       Date:  2008-12-18       Impact factor: 11.105

Review 2.  Diffusion-weighted MR imaging of the liver.

Authors:  Bachir Taouli; Dow-Mu Koh
Journal:  Radiology       Date:  2010-01       Impact factor: 11.105

3.  Diffusion-weighted imaging in assessing renal pathology of chronic kidney disease: A preliminary clinical study.

Authors:  Qinghai Li; Jinning Li; Lan Zhang; Ying Chen; Minming Zhang; Fuhua Yan
Journal:  Eur J Radiol       Date:  2014-02-07       Impact factor: 3.528

4.  Intravoxel incoherent motion diffusion-weighted MR imaging of the liver: effect of triggering methods on regional variability and measurement repeatability of quantitative parameters.

Authors:  Yedaun Lee; Seung Soo Lee; Namkug Kim; Eunki Kim; Yeong Jae Kim; Sung-Cheol Yun; Bernd Kühn; In Seong Kim; Seong Ho Park; So Yeon Kim; Moon-Gyu Lee
Journal:  Radiology       Date:  2014-09-17       Impact factor: 11.105

5.  Intravoxel incoherent motion diffusion imaging of the liver: optimal b-value subsampling and impact on parameter precision and reproducibility.

Authors:  Hadrien Dyvorne; Guido Jajamovich; Suguru Kakite; Bernd Kuehn; Bachir Taouli
Journal:  Eur J Radiol       Date:  2014-09-21       Impact factor: 3.528

6.  Characterization of complex adnexal masses: value of adding perfusion- and diffusion-weighted MR imaging to conventional MR imaging.

Authors:  Isabelle Thomassin-Naggara; Irwin Toussaint; Nicolas Perrot; Roman Rouzier; Charles A Cuenod; Marc Bazot; Emile Daraï
Journal:  Radiology       Date:  2010-12-30       Impact factor: 11.105

Review 7.  Diffusion imaging of the vertebral bone marrow.

Authors:  Olaf Dietrich; Tobias Geith; Maximilian F Reiser; Andrea Baur-Melnyk
Journal:  NMR Biomed       Date:  2015-06-26       Impact factor: 4.044

8.  Diffusion tensor imaging of the kidney with parallel imaging: initial clinical experience.

Authors:  Mike Notohamiprodjo; Christian Glaser; Karin A Herrmann; Olaf Dietrich; Ulrike I Attenberger; Maximilian F Reiser; Stefan O Schoenberg; Henrik J Michaely
Journal:  Invest Radiol       Date:  2008-10       Impact factor: 6.016

9.  Intermixed normal tissue within prostate cancer: effect on MR imaging measurements of apparent diffusion coefficient and T2--sparse versus dense cancers.

Authors:  Deanna L Langer; Theodorus H van der Kwast; Andrew J Evans; Laibao Sun; Martin J Yaffe; John Trachtenberg; Masoom A Haider
Journal:  Radiology       Date:  2008-12       Impact factor: 11.105

10.  Measurement reproducibility of perfusion fraction and pseudodiffusion coefficient derived by intravoxel incoherent motion diffusion-weighted MR imaging in normal liver and metastases.

Authors:  A Andreou; D M Koh; D J Collins; M Blackledge; T Wallace; M O Leach; M R Orton
Journal:  Eur Radiol       Date:  2012-10-06       Impact factor: 5.315

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  47 in total

Review 1.  Liver intravoxel incoherent motion (IVIM) magnetic resonance imaging: a comprehensive review of published data on normal values and applications for fibrosis and tumor evaluation.

Authors:  Yáo T Li; Jean-Pierre Cercueil; Jing Yuan; Weitian Chen; Romaric Loffroy; Yì Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2017-02

2.  Integrated versus separate reading of F-18 FDG-PET/CT and MRI for abdominal malignancies - effect on staging outcomes and diagnostic confidence.

Authors:  Lisa A Min; Wouter V Vogel; Max J Lahaye; Monique Maas; Maarten L Donswijk; Erik Vegt; Miranda Kusters; Henry J Zijlmans; Katarzyna Jóźwiak; Sander Roberti; Regina G H Beets-Tan; Doenja M J Lambregts
Journal:  Eur Radiol       Date:  2019-05-22       Impact factor: 5.315

Review 3.  Diffusion-weighted imaging and texture analysis: current role for diffuse liver disease.

Authors:  Sofia Gourtsoyianni; Joao Santinha; Celso Matos; Nikolaos Papanikolaou
Journal:  Abdom Radiol (NY)       Date:  2020-10-16

4.  Scan time reduction in diffusion-weighted imaging of the pancreas using a simultaneous multislice technique with different acceleration factors: How fast can we go?

Authors:  Jana Taron; Petros Martirosian; Thomas Kuestner; Nina F Schwenzer; Ahmed Othman; Jakob Weiß; Mike Notohamiprodjo; Konstantin Nikolaou; Christina Schraml
Journal:  Eur Radiol       Date:  2017-11-13       Impact factor: 5.315

Review 5.  Diffusion weighted imaging demystified: the technique and potential clinical applications for soft tissue imaging.

Authors:  Shivani Ahlawat; Laura M Fayad
Journal:  Skeletal Radiol       Date:  2017-11-20       Impact factor: 2.199

6.  Simultaneous multislice diffusion-weighted imaging in whole-body positron emission tomography/magnetic resonance imaging for multiparametric examination in oncological patients.

Authors:  Jana Taron; Christina Schraml; Christina Pfannenberg; Matthias Reimold; Nina Schwenzer; Konstantin Nikolaou; Petros Martirosian; Ferdinand Seith
Journal:  Eur Radiol       Date:  2018-02-26       Impact factor: 5.315

Review 7.  Six DWI questions you always wanted to know but were afraid to ask: clinical relevance for breast diffusion MRI.

Authors:  Mami Iima; Savannah C Partridge; Denis Le Bihan
Journal:  Eur Radiol       Date:  2020-01-21       Impact factor: 5.315

Review 8.  Functional and molecular MRI of the bone marrow in multiple myeloma.

Authors:  Vassilis Koutoulidis; Nickolas Papanikolaou; Lia A Moulopoulos
Journal:  Br J Radiol       Date:  2018-02-13       Impact factor: 3.039

9.  Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Trial of the ECOG-ACRIN Cancer Research Group (A6702).

Authors:  Habib Rahbar; Zheng Zhang; Thomas L Chenevert; Justin Romanoff; Averi E Kitsch; Lucy G Hanna; Sara M Harvey; Linda Moy; Wendy B DeMartini; Basak Dogan; Wei T Yang; Lilian C Wang; Bonnie N Joe; Karen Y Oh; Colleen H Neal; Elizabeth S McDonald; Mitchell D Schnall; Constance D Lehman; Christopher E Comstock; Savannah C Partridge
Journal:  Clin Cancer Res       Date:  2019-01-15       Impact factor: 12.531

10.  Dose-response assessment by quantitative MRI in a phase 1 clinical study of the anti-cancer vascular disrupting agent crolibulin.

Authors:  Andres M Arias Lorza; Harshan Ravi; Rohit C Philip; Jean-Philippe Galons; Theodore P Trouard; Nestor A Parra; Daniel D Von Hoff; William L Read; Raoul Tibes; Ronald L Korn; Natarajan Raghunand
Journal:  Sci Rep       Date:  2020-09-02       Impact factor: 4.379

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