Diffusion MR imaging: clinical applications.

Bihan, Denis Le; Turner, Robert; Douek, Philippe; Patronas, N J

doi:10.2214/ajr.159.3.1503032

Cited by 434 publications

(271 citation statements)

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“…IVIM‐derived metrics, including D, D*, and f are unique as they are able to assess diffusion and perfusion in a tumor without the use of a contrast agent 16, 17. Hauser et al reported in a 15 patient feasibility study that pre‐TX D values were not significantly different, while f was significantly higher in patients with local regional failure compared with those with local regional control 19.…”

Section: Discussionmentioning

confidence: 99%

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Intravoxel incoherent motion diffusion‐weighted MRI during chemoradiation therapy to characterize and monitor treatment response in human papillomavirus head and neck squamous cell carcinoma

Paudyal

Riaz

et al. 2016

Magnetic Resonance Imaging

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PurposeCharacterize and monitor treatment response in human papillomavirus (HPV) head and neck squamous cell carcinoma (HNSCC) using intra‐treatment (intra‐TX) imaging metrics derived from intravoxel incoherent motion (IVIM) diffusion‐weighted magnetic resonance imaging (DW‐MRI).Materials and MethodsThirty‐four (30 HPV positive [+] and 4 HPV negative [‐]) HNSCC patients underwent a total of 136 MRI including multi‐b value DW‐MRI (pretreatment [pre‐TX] and intra‐TX weeks 1, 2, and 3) at 3.0 Tesla. All patients were treated with chemo‐radiation therapy. Monoexponential (yielding apparent diffusion coefficient [ADC]) and bi‐exponential (yielding perfusion fraction [f], diffusion [D], and pseudo‐diffusion [D*] coefficients) fits were performed on a region of interest and voxel‐by‐voxel basis, on metastatic neck nodes. Response was assessed using RECISTv1.1. The relative percentage change in D, f, and D* between the pre‐ and intra‐TX weeks were used for hierarchical clustering. A Wilcoxon rank‐sum test was performed to assess the difference in metrics within and between the complete response (CR) and non‐CR groups.ResultsThe delta (Δ) change in volume (V)1wk‐0wk for the CR group differed significantly (P = 0.016) from the non‐CR group, while not for V2wk‐0wk and V3wk‐0wk (P > 0.05). The mean increase in ΔD3wk‐0wk for the CR group was significantly higher (P = 0.017) than the non‐CR group. ADC and D showed an increasing trend at each intra‐TX week when compared with pre‐TX in CR group (P < 0.003). Hierarchical clustering demonstrated the existence of clusters in HPV + patients.ConclusionAfter appropriate validation in a larger population, these IVIM imaging metrics may be useful for individualized treatment in HNSCC patients. Level of Evidence: 2J. Magn. Reson. Imaging 2017;45:1013–1023

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Section: Discussionmentioning

confidence: 99%

“…The quantitative imaging metrics, derived from IVIM, are the diffusion coefficient (D), perfusion fraction (f) and pseudo‐diffusion coefficient (D*), measured without the use of a contrast agent 16, 17. Recently, feasibility studies have shown the utility of IVIM DW‐MRI in the characterization of HNSCC 18, 19, 20, 21…”

mentioning

confidence: 99%

Intravoxel incoherent motion diffusion‐weighted MRI during chemoradiation therapy to characterize and monitor treatment response in human papillomavirus head and neck squamous cell carcinoma

Paudyal

Riaz

et al. 2016

Magnetic Resonance Imaging

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“…Use of DW-MRI as a surrogate marker to probe tumor aggressiveness is compelling, because this measurement is strongly affected by changes in tissue organization at the cellular level (14). These microstructural changes affect the motion of water molecules and alter water diffusion properties and DW-MRI signal intensity.…”

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confidence: 99%

“…These microstructural changes affect the motion of water molecules and alter water diffusion properties and DW-MRI signal intensity. The loss of signal intensity in DW-MRI can be quantified by measuring the apparent diffusion coefficient (ADC), which is the indicator of water molecular motion that is affected by cellular organization (14). Recently, ADC value has shown potential as a surrogate imaging biomarker to assess tumor aggressiveness in breast (15), prostate (16)(17)(18), and rectal cancers (19).…”

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confidence: 99%

Using Diffusion-Weighted MRI to Predict Aggressive Histological Features in Papillary Thyroid Carcinoma: A Novel Tool for Pre-Operative Risk Stratification in Thyroid Cancer

Moreira

Hatzoglou

et al. 2015

Thyroid

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Background: Initial management recommendations of papillary thyroid carcinoma (PTC) are very dependent on preoperative studies designed to evaluate the presence of PTC with aggressive features. The purpose of this study was to evaluate whether diffusion-weighted magnetic resonance imaging (DW-MRI) before surgery can be used as a tool to stratify tumor aggressiveness in patients with PTC. Methods: In this prospective study, 28 patients with PTC underwent DW-MRI studies on a three Tesla MR scanner prior to thyroidectomy. Due to image quality, 21 patients were finally suitable for further analysis. Apparent diffusion coefficients (ADCs) of normal thyroid tissues and PTCs for 21 patients were calculated. Tumor aggressiveness was defined by surgical histopathology. The Mann-Whitney U test was used to compare the difference in ADCs among groups of normal thyroid tissues and PTCs with and without features of tumor aggressiveness. Receiver operating characteristic (ROC) analysis was performed to assess the discriminative specificity, sensitivity, and accuracy of and determine the cutoff value for the ADC in stratifying PTCs with tumor aggressiveness. Results: There was no significant difference in ADC values between normal thyroid tissues and PTCs. However, ADC values of PTCs with extrathyroidal extension (ETE; 1.53 -0.25 · 10 -3 mm 2 /s) were significantly lower than corresponding values from PTCs without ETE (2.37 -0.67 · 10 -3 mm 2 /s; p < 0.005). ADC values identified 3 papillary carcinoma patients with extrathyroidal extension that would have otherwise been candidates for observation based on ultrasound evaluations. The cutoff value of ADC to discriminate PTCs with and without ETE was determined at 1.85 · 10 -3 mm 2 /s with a sensitivity of 85%, specificity of 85%, and ROC curve area of 0.85. Conclusion: ADC value derived from DW-MRI before surgery has the potential to stratify ETE in patients with PTCs.

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“…Stejskal and Tanner [1] first proposed a method to measure diffusion in liquid samples early in the development of nuclear magnetic resonance spectroscopy and this was later applied to magnetic resonance (MR) imaging by Le Bihan et al [2,3]. The clinical use of diffusion imaging expanded rapidly after its sensitivity to the early detection of stroke was demonstrated [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Computing the Probability of Local Brain Connectivity using Diffusion Tensor Imaging

Shimony¹,

Epstein²,

Bretthorst³

2007

AIP Conference Proceedings

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Abstract. The diffusion tensor model has been used to analyze magnetic resonance diffusion data and has been successful in both neuroscientific and clinical applications. We propose an enhancement of this model with a local connectivity parameter that better accords with the known structure of white-matter. In addition to providing diffusion tensor parameter estimation the calculation provides the probability that a given pixel is connected to one of its nearest neighbors. These probabilities can be used in further calculations to determine the probability of connectivity between different brain regions. Implementation of the algorithm is discussed in addition to its usage in simulated and in-vivo magnetic resonance diffusion tensor data.

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Diffusion MR imaging: clinical applications.

Cited by 434 publications

References 0 publications

Intravoxel incoherent motion diffusion‐weighted MRI during chemoradiation therapy to characterize and monitor treatment response in human papillomavirus head and neck squamous cell carcinoma

Intravoxel incoherent motion diffusion‐weighted MRI during chemoradiation therapy to characterize and monitor treatment response in human papillomavirus head and neck squamous cell carcinoma

Using Diffusion-Weighted MRI to Predict Aggressive Histological Features in Papillary Thyroid Carcinoma: A Novel Tool for Pre-Operative Risk Stratification in Thyroid Cancer

Computing the Probability of Local Brain Connectivity using Diffusion Tensor Imaging

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