Next Article in Journal
Magnetization Transfer MRI of Breast Cancer in the Community Setting: Reproducibility and Preliminary Results in Neoadjuvant Therapy
Previous Article in Journal
Quantitative Non-Gaussian Intravoxel Incoherent Motion Diffusion-Weighted Imaging Metrics and Surgical Pathology for Stratifying Tumor Aggressiveness in Papillary Thyroid Carcinomas
 
 
Tomography is published by MDPI from Volume 7 Issue 1 (2021). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Grapho, LLC.
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Multicenter Repeatability Study of a Novel Quantitative Diffusion Kurtosis Imaging Phantom

by
Dariya I. Malyarenko
1,*,
Scott D. Swanson
1,
Amaresha S. Konar
2,
Eve LoCastro
2,
Ramesh Paudyal
2,
Michael Z. Liu
3,
Sachin R. Jambawalikar
3,
Lawrence H. Schwartz
3,
Amita Shukla-Dave
2,4 and
Thomas L. Chenevert
1
1
Department of Radiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
2
Departments of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
3
Department of Radiology, Columbia University Irving Medical Center, New York, NY 10032, USA
4
Departments of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
*
Author to whom correspondence should be addressed.
Tomography 2019, 5(1), 36-43; https://doi.org/10.18383/j.tom.2018.00030
Submission received: 5 December 2018 / Revised: 4 January 2019 / Accepted: 9 February 2019 / Published: 1 March 2019

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

Share and Cite

MDPI and ACS Style

Malyarenko, D.I.; Swanson, S.D.; Konar, A.S.; LoCastro, E.; Paudyal, R.; Liu, M.Z.; Jambawalikar, S.R.; Schwartz, L.H.; Shukla-Dave, A.; Chenevert, T.L. Multicenter Repeatability Study of a Novel Quantitative Diffusion Kurtosis Imaging Phantom. Tomography 2019, 5, 36-43. https://doi.org/10.18383/j.tom.2018.00030

AMA Style

Malyarenko DI, Swanson SD, Konar AS, LoCastro E, Paudyal R, Liu MZ, Jambawalikar SR, Schwartz LH, Shukla-Dave A, Chenevert TL. Multicenter Repeatability Study of a Novel Quantitative Diffusion Kurtosis Imaging Phantom. Tomography. 2019; 5(1):36-43. https://doi.org/10.18383/j.tom.2018.00030

Chicago/Turabian Style

Malyarenko, Dariya I., Scott D. Swanson, Amaresha S. Konar, Eve LoCastro, Ramesh Paudyal, Michael Z. Liu, Sachin R. Jambawalikar, Lawrence H. Schwartz, Amita Shukla-Dave, and Thomas L. Chenevert. 2019. "Multicenter Repeatability Study of a Novel Quantitative Diffusion Kurtosis Imaging Phantom" Tomography 5, no. 1: 36-43. https://doi.org/10.18383/j.tom.2018.00030

Article Metrics

Back to TopTop