Quantitative diffusion tensor MR imaging of the brain: field strength related variance of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) scalars

Huisman, Thierry A.G.M.; Loenneker, Thomas; Barta, Gerd; Bellemann, Matthias E.; Hennig, Jürgen; Fischer, Joachim E.; Il’yasov, K. A.

doi:10.1007/s00330-006-0175-8

Cited by 128 publications

(104 citation statements)

References 40 publications

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“…Huisman et al. (2006) studied the “impact” of magnetic field strength on DTI metrics and found that lower ADC values were recorded at higher field strengths, comparing 1.5 with 3.0 Tesla MRI scanners. In summary, the present study gave a more complete and accurate evaluation of microstructural integrity of the cerebral WM in COPD with and without cigarette smoking.…”

Section: Discussionmentioning

confidence: 99%

Vasogenic cerebral edema associated with the disability in activities of daily living in patients with chronic obstructive pulmonary disease

et al. 2018

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IntroductionThe aim of this study was to explore whether patients with chronic obstructive pulmonary disease (COPD) develop vasogenic cerebral edema, and whether this edema contributes to the COPD‐related disability.MethodsEighteen stable patients with COPD and 17 matched healthy volunteers were enrolled. Apparent diffusion coefficient (ADC) values were calculated by voxel‐based analysis using DTI‐Studio software based on diffusion tensor imaging. COPD‐related disability was calculated using activities of daily living (ADL) scale.ResultsIn patients with COPD, ADC increased in the white matter fiber tracts including the bilateral anterior cingulum and posterior corpus callosum and in the white matter fibers connecting the bilateral insular cortices, sub‐lobar cortices, and pars triangularis cortices and the left rectus and olfactory gyrus. However, after further controlling for cigarette smoking, the difference in ADC values in the posterior corpus callosum between groups disappeared. Patients with COPD had significantly higher scores in ADL than that in controls. Moreover, ADL scores were positively correlated with the increased regional ADC values.ConclusionVasogenic cerebral edema occurs in patients with COPD. Cigarette smoking may be a risk factor for COPD‐related vasogenic edema. Vasogenic cerebral edema may be related to the COPD‐related ADL impairment.

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Section: Discussionmentioning

confidence: 99%

Vasogenic cerebral edema associated with the disability in activities of daily living in patients with chronic obstructive pulmonary disease

et al. 2018

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“…[12][13][14][17][18][19] We observed interimager variability in the ADC values of gray and white matter and a wide range of ADC values of gray matter that was probably attributable to tissue-specific characteristics. One histological difference between gray and white matter is capillary perfusion, as suggested by the intravoxel incoherent motion (IVIM) theory.…”

Section: ¹6mentioning

confidence: 75%

“…6 -10 Although earlier studies set scanning parameters as identically as possible to ensure comparability of the instruments, they pointed to interimager variability in ADC values. [12][13][14] We were concerned with the marked variability between imagers using routine clinical settings and therefore designed the current volunteer study. Nevertheless, whether or not scanning pa- …”

Section: Discussionmentioning

confidence: 99%

“…[1][2][3][4][5][6][7][8][9][10] However, earlier studies that measured the ADC values of white and gray matter encountered significant variability related to instrument vendors, imagers, coil systems, and field strengths used during magnetic resonance (MR) imaging. [11][12][13] In 2008, Sasaki and associates 12 reported approximately 15% lower ADC values generated by imagers from one vendor than other vendors. The authors also demonstrated average relative differences of 4 to 9% among imagers from the same vendors and intraindividual differences of 3 to 5% on repeat images acquired on the same scanner.…”

Section: Introductionmentioning

confidence: 99%

“…[12][13][14] Routine clinical practice involves the application of diverse scanning parameters that can affect ADC values. 15 The variability in ADC values generated by different MR imagers with diverse scanning parameters in the same patient must be considered when consulting with other institutions, conducting follow-up at other institutions, and replacing imagers.…”

Section: Introductionmentioning

confidence: 99%

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Interimager Variability in ADC Measurement of the Human Brain

Tsujita

Kai

Fujita

et al. 2014

MRMS

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Purpose: Routine clinical practice involves the application of diverse scanning parameters that can affect apparent diffusion coefficient (ADC) values. We evaluated interimager variability in ADC values with respect to their potential effect in clinical applications.Methods: In 7 healthy volunteers, we obtained diffusion-weighted (DW) images using routine clinical parameters and 1.5-(n = 9) and 3-tesla (n = 3) magnetic resonance (MR) imagers from 5 different vendors, performing 84 MR imaging studies. To evaluate the differences in ADC values among the imagers, vendors, and magnetic field strengths, we measured the mean pixel values of the frontal white matter and thalamus (gray matter) in both cerebral hemispheres of the 7 volunteers and used repeated-measures analysis of variance for multiple comparisons.Results: The laterality of ADC values in the bilateral structures ranged from one to 3% for the 12 imagers. Although the relative difference in ADC values of white matter was 7% for scanners yielding the highest and lowest mean ADC values (P < 0.01), it was within 2 to 4% for instruments from the same vendors. For gray matter, the interimager difference was 4 to 12%, even among the same vendors (P < 0.05). Among the 3T imagers, the difference for white and gray matter was approximately 3%.Conclusions: There were significant interimager differences in ADC values, especially with respect to gray matter. Taking into consideration the existing laterality, however, the differences among our 3T imagers may be acceptable despite the use of diverse scanning parameters. In routine clinical practice, the existing variability must be considered imager by imager.

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