Literature DB >> 30854440

Multicenter Repeatability Study of a Novel Quantitative Diffusion Kurtosis Imaging Phantom.

Dariya I Malyarenko1, Scott D Swanson1, Amaresha S Konar2, Eve LoCastro2, Ramesh Paudyal2, Michael Z Liu3, Sachin R Jambawalikar3, Lawrence H Schwartz3, Amita Shukla-Dave2,4, Thomas L Chenevert1.   

Abstract

Quantitative kurtosis phantoms are sought by multicenter clinical trials to establish accuracy and precision of quantitative imaging biomarkers on the basis of diffusion kurtosis imaging (DKI) parameters. We designed and evaluated precision, reproducibility, and long-term stability of a novel isotropic (i)DKI phantom fabricated using four families of chemicals based on vesicular and lamellar mesophases of liquid crystal materials. The constructed iDKI phantoms included negative control monoexponential diffusion materials to independently characterize noise and model-induced bias in quantitative kurtosis parameters. Ten test-retest DKI studies were performed on four scanners at three imaging centers over a six-month period. The tested prototype phantoms exhibited physiologically relevant apparent diffusion, Dapp, and kurtosis, Kapp, parameters ranging between 0.4 and 1.1 (×10-3 mm2/s) and 0.8 and 1.7 (unitless), respectively. Measured kurtosis phantom Kapp exceeded maximum fit model bias (0.1) detected for negative control (zero kurtosis) materials. The material-specific parameter precision [95% CI for Dapp: 0.013-0.022(×10-3 mm2/s) and for Kapp: 0.009-0.076] derived from the test-retest analysis was sufficient to characterize thermal and temporal stability of the prototype DKI phantom through correlation analysis of inter-scan variability. The present study confirms a promising chemical design for stable quantitative DKI phantom based on vesicular mesophase of liquid crystal materials. Improvements to phantom preparation and temperature monitoring procedures have potential to enhance precision and reproducibility for future multicenter iDKI phantom studies.

Entities:  

Keywords:  diffusion kurtosis; micro-scale lamellar vesicles; repeatability; temporal stability; tunable parameters

Mesh:

Year:  2019        PMID: 30854440      PMCID: PMC6403043          DOI: 10.18383/j.tom.2018.00030

Source DB:  PubMed          Journal:  Tomography        ISSN: 2379-1381


  25 in total

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Authors:  Jonathan Phillips; Geoffrey D Charles-Edwards
Journal:  Magn Reson Med       Date:  2014-06-10       Impact factor: 4.668

Review 2.  The emerging role of diffusion-weighted MRI in prostate cancer management.

Authors:  Edward M Lawrence; Vincent J Gnanapragasam; Andrew N Priest; Evis Sala
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3.  Design and characterization of tissue-mimicking gel phantoms for diffusion kurtosis imaging.

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Journal:  Med Phys       Date:  2018-04-27       Impact factor: 4.071

4.  Pediatric brain tumor consortium multisite assessment of apparent diffusion coefficient z-axis variation assessed with an ice-water phantom.

Authors:  Robert V Mulkern; Kelsey I Ricci; Sridhar Vajapeyam; Thomas L Chenevert; Dariya I Malyarenko; Mehmet Kocak; Tina Young Poussaint
Journal:  Acad Radiol       Date:  2014-11-27       Impact factor: 3.173

5.  Diffusion-weighted whole-body MRI for evaluation of early response in multiple myeloma.

Authors:  C Lacognata; F Crimì; A Guolo; C Varin; E De March; S Vio; A Ponzoni; G Barilà; A Lico; A Branca; E De Biasi; F Gherlinzoni; V Scapin; E Bissoli; T Berno; R Zambello
Journal:  Clin Radiol       Date:  2017-06-03       Impact factor: 2.350

Review 6.  Body diffusion kurtosis imaging: Basic principles, applications, and considerations for clinical practice.

Authors:  Andrew B Rosenkrantz; Anwar R Padhani; Thomas L Chenevert; Dow-Mu Koh; Frederik De Keyzer; Bachir Taouli; Denis Le Bihan
Journal:  J Magn Reson Imaging       Date:  2015-06-26       Impact factor: 4.813

Review 7.  Interest of diffusion-weighted echo-planar MR imaging and apparent diffusion coefficient mapping in gynecological malignancies: a review.

Authors:  Antonin Levy; Aïcha Medjhoul; Caroline Caramella; Elise Zareski; Oscar Berges; Cyrus Chargari; Bérénice Boulet; François Bidault; Clarisse Dromain; Corinne Balleyguier
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Review 8.  MRI quantification of non-Gaussian water diffusion by kurtosis analysis.

Authors:  Jens H Jensen; Joseph A Helpern
Journal:  NMR Biomed       Date:  2010-08       Impact factor: 4.044

9.  Cerebral gliomas: diffusional kurtosis imaging analysis of microstructural differences.

Authors:  Peter Raab; Elke Hattingen; Kea Franz; Friedhelm E Zanella; Heinrich Lanfermann
Journal:  Radiology       Date:  2010-01-20       Impact factor: 11.105

10.  Repeatability of derived parameters from histograms following non-Gaussian diffusion modelling of diffusion-weighted imaging in a paediatric oncological cohort.

Authors:  Neil P Jerome; Keiko Miyazaki; David J Collins; Matthew R Orton; James A d'Arcy; Toni Wallace; Lucas Moreno; Andrew D J Pearson; Lynley V Marshall; Fernando Carceller; Martin O Leach; Stergios Zacharoulis; Dow-Mu Koh
Journal:  Eur Radiol       Date:  2016-03-22       Impact factor: 5.315

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  6 in total

1.  The impeded diffusion fraction quantitative imaging assay demonstrated in multi-exponential diffusion phantom and prostate cancer.

Authors:  Dariya I Malyarenko; Scott D Swanson; Sean D McGarry; Peter S LaViolette; Thomas L Chenevert
Journal:  Magn Reson Med       Date:  2021-11-14       Impact factor: 4.668

2.  Quantitative diffusion MRI of the abdomen and pelvis.

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Journal:  Med Phys       Date:  2021-10-08       Impact factor: 4.506

3.  Technical note: Temperature and concentration dependence of water diffusion in polyvinylpyrrolidone solutions.

Authors:  Ghoncheh Amouzandeh; Thomas L Chenevert; Scott D Swanson; Brian D Ross; Dariya I Malyarenko
Journal:  Med Phys       Date:  2022-03-03       Impact factor: 4.506

4.  Non-Gaussian models of diffusion weighted imaging for detection and characterization of prostate cancer: a systematic review and meta-analysis.

Authors:  V Brancato; C Cavaliere; M Salvatore; S Monti
Journal:  Sci Rep       Date:  2019-11-14       Impact factor: 4.379

5.  Repeatability and Reproducibility of ADC Histogram Metrics from the ACRIN 6698 Breast Cancer Therapy Response Trial.

Authors:  David C Newitt; Ghoncheh Amouzandeh; Savannah C Partridge; Helga S Marques; Benjamin A Herman; Brian D Ross; Nola M Hylton; Thomas L Chenevert; Dariya I Malyarenko
Journal:  Tomography       Date:  2020-06

6.  Quantitative Imaging Enters the Clinical Arena: A Personal Viewpoint.

Authors:  Robert J Nordstrom
Journal:  Tomography       Date:  2020-06
  6 in total

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