A simple and robust test object for the assessment of isotropic diffusion kurtosis

Phillips, Jonathan

doi:10.1002/mrm.25311

Cited by 5 publications

(9 citation statements)

References 50 publications

(79 reference statements)

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“…The “natural” phantoms based on cream and asparagus (12, 13, 22) provide single “untunable” kurtosis parameter value and perish quickly. Synthetic phantoms comprising the polyethylene particle suspensions (23) and most recently suggested microbead impregnated gels (24) are more stable, but still suffer from limited range of provided kurtosis parameters (K app < 0.7) and limited precision owing to microscopic sample inhomogeneity, chemical shift (23), and/or low signal-to-noise ratio (SNR) (short T2) (24). Our recent pilot study (25) proposed the development of novel kurtosis phantoms based on lamellar (amorphous layers) and vesicular (fluid-filled microsacs) phases of liquid crystal systems.…”

Section: Introductionmentioning

confidence: 99%

Multicenter Repeatability Study of a Novel Quantitative Diffusion Kurtosis Imaging Phantom

et al. 2019

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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, D app , and kurtosis, K app , parameters ranging between 0.4 and 1.1 (×10 −3 mm 2 /s) and 0.8 and 1.7 (unitless), respectively. Measured kurtosis phantom K app exceeded maximum fit model bias (0.1) detected for negative control (zero kurtosis) materials. The material-specific parameter precision [95% CI for D app : 0.013–0.022(×10 −3 mm 2 /s) and for K app : 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.

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Section: Introductionmentioning

confidence: 99%

Multicenter Repeatability Study of a Novel Quantitative Diffusion Kurtosis Imaging Phantom

et al. 2019

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“…The colloidal dispersions reported in Ref. displayed kurtosis values in the range 0 ≤ K coll ≤ 0.62 and while suitable for long‐term use, they do not possess the same relaxation rates as tissue, which would be advantageous for multimodality imaging.…”

Section: Introductionmentioning

confidence: 99%

“…It has been claimed that kurtosis is related to barrier concentration (see, for example, ) and also

R_{2}^{*}

(see, for example, ) although the fundamental origin of non‐Gaussian diffusion in biological systems is not fully understood. It is not our aim in this paper to investigate the microscopic origin of the diffusion‐weighted MR signal but to create tissue‐mimicking gel phantoms appropriate for DKI with relaxation rates similar to tissue by characterizing the ADCs, kurtosis values, and relaxation times of agar, agarose, and PVA phantoms.…”

Section: Introductionmentioning

confidence: 99%

Design and characterization of tissue‐mimicking gel phantoms for diffusion kurtosis imaging

et al. 2018

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“…The plot clearly shows that the logarithm of a signal intensity varies linearly with b for the range of values 0 s/mm 2 to 1000 s/mm 2 for all voxels, i.e., we observe no evidence of non-Gaussian diffusion. This is not too surprising as usually a minimum b-value of 1500 s/mm 2 is required to quantify non-Gaussianity [18]. In the waterfall plots brighter colors (yellow)…”

Section: Adc Maps Distribution Of Adc Values and Quality Of Fitmentioning

confidence: 92%

Evaluation of diffusion weighted imaging in the context of multi-parametric MRI of the prostate in the assessment of suspected low volume prostatic carcinoma

Papadopoulos

Phillips

Evans

et al. 2018

Magnetic Resonance Imaging

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Data from a multi-parametric MRI study of patients with possible early-stage prostate cancer was assessed with a view to creating an efficient clinical protocol. Based on a correlation analysis suggesting that diffusion-weighted imaging (DWI) scores are more strongly correlated with overall PIRADS scores than other modalities such as dynamic contrast enhanced imaging or spectroscopy, we investigate the combination of T2-weighted imaging (T2w) and DWI as a potential diagnostic tool for prostate cancer detection, staging and guided biopsies. Quantification of the noise floor in the DWI images and careful fitting of the data suggests that the mono-exponential model provides a very good fit to the data and there is no evidence of non-Gaussian diffusion for b-values up to 1000 s/mm 2 . This precludes the use of kurtosis or other non-Gaussian measures as a biomarker for prostate cancer in our case. However, the ADC scores for healthy and probably malignant regions are significantly lower for the latter in all 20 but one patient. The results suggest that a simplified mp-MRI protocol combining T2w and DWI may be a good compromise for a cost and time efficient, early-stage prostate cancer diagnostic programme, combining robust * Corresponding author.

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A simple and robust test object for the assessment of isotropic diffusion kurtosis

Abstract: Colloidal dispersions provide a suitable and stable test object for the assessment and reproducibility measurements of kurtosis.

Cited by 5 publications

References 50 publications

Multicenter Repeatability Study of a Novel Quantitative Diffusion Kurtosis Imaging Phantom

Multicenter Repeatability Study of a Novel Quantitative Diffusion Kurtosis Imaging Phantom

Design and characterization of tissue‐mimicking gel phantoms for diffusion kurtosis imaging

Evaluation of diffusion weighted imaging in the context of multi-parametric MRI of the prostate in the assessment of suspected low volume prostatic carcinoma

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