Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain

Hakulinen, Ullamari; Brander, Antti; Ryymin, Pertti; Öhman, Juha; Soimakallio, Seppo; Helminen, Mika; Dastidar, Prasun; Eskola, Hannu

doi:10.1186/1471-2342-12-30

Cited by 58 publications

(64 citation statements)

References 40 publications

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“…The few previous studies that have examined inter-reader reproducibility of ADC measures have focused on the effect of standardizing ROI shapes (e.g. round or elliptical vs. freehand): Hakulinen et al demonstrated that circular ROIs provide higher repeatability than freehand ROIs but greater variability in ADC measurements of white matter tissue of the brain 20 , while Tagliafico et al reported “acceptable” levels of inter-reader reproducibility of normal breast parenchyma ADCs by employing a standardized elliptical ROI of predetermined size (kappa = 0.81) 21 .…”

Section: Discussionmentioning

confidence: 99%

Diffusion-Weighted Breast Magnetic Resonance Imaging

Rahbar

Kurland²,

Olson³

et al. 2016

Journal of Computer Assisted Tomography

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Objective To determine whether a semi-automated voxel selection technique improves inter-reader reproducibility for breast apparent diffusion coefficient (ADC) measurements. Methods Three readers retrospectively performed ADC measurements of 31 breast lesions (16 malignant, 15 benign) and contralateral normal tissue in 26 women both unassisted (manual method) and assisted by a semi-automated software tool that excludes voxels below a dynamically specified signal intensity threshold. Reproducibility between readers for each technique was assessed by Bland-Altman analysis and concordance correlation coefficients (CCCs). Results Differences between readers’ measured ADCs of lesions were smaller with the semi-automated tool versus the manual method. CCCs for each reader pair were greater with the semi-automated tool for lesions (mean CCC difference= 0.11; CI= 0.04–0.26). For normal tissue, reader agreement was lower than for lesions, and did not differ based on software tools (mean CCC difference= 0.00; 95% CI= −0.14–0.13). Conclusions A semi-automated voxel selection tool can improve inter-reader reproducibility of breast lesion ADC measures.

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Section: Discussionmentioning

confidence: 99%

Diffusion-Weighted Breast Magnetic Resonance Imaging

Rahbar

Kurland²,

Olson³

et al. 2016

Journal of Computer Assisted Tomography

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“…The reproducibility of diffusion MR image using DTI-based metrics such as FA and diffusivity was studied mainly through ROI-based analyses (Besseling et al, 2012; Bisdas et al, 2008; Bonekamp et al, 2007; Ciccarelli et al, 2003; Farrell et al, 2007; Giannelli et al, 2010; Hakulinen et al, 2012; Heiervang et al, 2006; Huang et al, 2012; Jansen et al, 2007; Jones, 2004; Landman et al, 2007; Pfefferbaum et al, 2003; Vollmar et al, 2010, for review see Vollmar et al, 2010). Voxel-wise analysis of FA was conducted by Farrell et al (2007), which found that the voxel-wise measure of FA in WM was more reproducible than in GM.…”

Section: Discussionmentioning

confidence: 99%

Investigating brain connectivity heritability in a twin study using diffusion imaging data

et al. 2014

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Heritability of brain anatomical connectivity has been studied with diffusion-weighted imaging (DWI) mainly by modeling each voxel's diffusion pattern as a tensor (e.g., to compute fractional anisotropy), but this method cannot accurately represent the many crossing connections present in the brain. We hypothesized that different brain networks (i.e., their component fibers) might have different heritability and we investigated brain connectivity using High Angular Resolution Diffusion Imaging (HARDI) in a cohort of twins comprising 328 subjects that included 70 pairs of monozygotic and 91 pairs of dizygotic twins. Water diffusion was modeled in each voxel with a Fiber Orientation Distribution (FOD) function to study heritability for multiple fiber orientations in each voxel. Precision was estimated in a test–retest experiment on a sub-cohort of 39 subjects. This was taken into account when computing heritability of FOD peaks using an ACE model on the monozygotic and dizygotic twins. Our results confirmed the overall heritability of the major white matter tracts but also identified differences in heritability between connectivity networks. Inter-hemispheric connections tended to be more heritable than intra-hemispheric and cortico-spinal connections. The highly heritable tracts were found to connect particular cortical regions, such as medial frontal cortices, postcentral, paracentral gyri, and the right hippocampus.

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“…In addition to these studies, others have explicitly evaluated methods for spatial mapping, with a similar goal to this paper. For example, evaluations of manually drawn ROI approaches have tested the reliability of different ROI shapes [30] and drawing methods [31] [32], and compared to a variety of global histogram measures [25]. Voxel-based analysis has also been evaluated to quantify the effects of filter size [33], software package [34], and to compare results with ROI-based methods [35] [36].…”

Section: Introductionmentioning

confidence: 99%

A Comparative evaluation of voxel-based spatial mapping in diffusion tensor imaging

2017

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This paper presents a comparative evaluation of methods for automated voxel-based spatial mapping in diffusion tensor imaging studies. Such methods are an essential step in computational pipelines and provide anatomically comparable measurements across a population in atlas-based studies. To better understand their strengths and weaknesses, we tested a total of eight methods for voxel-based spatial mapping in two types of diffusion tensor templates. The methods were evaluated with respect to scan-rescan reliability and an application to normal aging. The methods included voxel-based analysis with and without smoothing, two types of region-based analysis, and combinations thereof with skeletonization. The templates included a study-specific template created with DTI-TK and the IIT template serving as a standard template. To control for other factors in the pipeline, the experiments used a common dataset, acquired at 1.5T with a single shell high angular resolution diffusion MR imaging protocol, and tensor-based spatial normalization with DTI-TK. Scan-rescan reliability was assessed using the coefficient of variation (CV) and intraclass correlation (ICC) in eight subjects with three scans each. Sensitivity to normal aging was assessed in a population of 80 subjects aged 25 to 65 years old, and methods were compared with respect to the anatomical agreement of significant findings and the R2 of the associated models of fractional anisotropy. The results show that reliability depended greatly on the method used for spatial mapping. The largest differences in reliability were found when adding smoothing and comparing voxel-based and region-based analyses. Skeletonization and template type were found to have either a small or negligible effect on reliability. The aging results showed agreement among the methods in nine brain areas, with some methods showing more sensitivity than others. Skeletonization and smoothing were not major factors affecting sensitivity to aging, but the standard template showed higher R2 in several conditions. A structural comparison of the templates showed that large deformations between them may be related to observed differences in patterns of significant voxels. Most areas showed significantly higher R2 with voxel-based analysis, particularly when clusters were smaller than the available regions-of-interest. Looking forward, these results can potentially help to interpret results from existing white matter imaging studies, as well as provide a resource to help in planning future studies to maximize reliability and sensitivity with regard to the scientific goals at hand.

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Repeatability and variation of region-of-interest methods using quantitative diffusion tensor MR imaging of the brain

Cited by 58 publications

References 40 publications

Diffusion-Weighted Breast Magnetic Resonance Imaging

Diffusion-Weighted Breast Magnetic Resonance Imaging

Investigating brain connectivity heritability in a twin study using diffusion imaging data

A Comparative evaluation of voxel-based spatial mapping in diffusion tensor imaging

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