Comparison of accuracy of intravoxel incoherent motion and apparent diffusion coefficient techniques for predicting malignancy of head and neck tumors using half-Fourier single-shot turbo spin-echo diffusion-weighted imaging

Sakamoto, Junichiro; Imaizumi, Akiko; Sasaki, Yasutsuna; Kamio, Takashi; Wakoh, Mamoru; Otonari-Yamamoto, Mika; Sano, Tsukasa

doi:10.1016/j.mri.2014.05.002

Cited by 32 publications

(28 citation statements)

References 30 publications

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“…Previous studies have introduced the relationship between ADC and D values, and indicated that the ADC value would be higher than the corresponding D value due to the influence of the perfusion effect of small vessels resulting from using only two b values (125). Our current study results correspond to previous findings and demonstrate that the D value has a significant correlation with the ADC value and is significantly smaller than the ADC value in tumors.…”

Section: Discussionmentioning

confidence: 99%

“…Diffusion and perfusion are important parameters for the assessment of tumors of the head and neck, especially in differential diagnosis, treatment planning, detection of residual tumors after treatment, and prediction of clinical outcome (12345). Previously, the apparent diffusion coefficient (ADC) has been commonly used to assess tumor diffusion.…”

Section: Introductionmentioning

confidence: 99%

“…Previously, the apparent diffusion coefficient (ADC) has been commonly used to assess tumor diffusion. However, a conventional ADC, which assumes that diffusion-weighted signals would decay mono-exponentially with two b values, is influenced by tissue perfusion (16). Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has been used to evaluate the perfusion characteristics of tumors (78).…”

Section: Introductionmentioning

confidence: 99%

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Intravoxel Incoherent Motion MR Imaging in the Head and Neck: Correlation with Dynamic Contrast-Enhanced MR Imaging and Diffusion-Weighted Imaging

Choi

Sung

et al. 2016

Korean J Radiol

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ObjectiveTo investigate the correlation between perfusion- and diffusion-related parameters from intravoxel incoherent motion (IVIM) and those from dynamic contrast-enhanced MR imaging (DCE-MRI) and diffusion-weighted imaging in tumors and normal muscles of the head and neck.Materials and MethodsWe retrospectively enrolled 20 consecutive patients with head and neck tumors with MR imaging performed using a 3T MR scanner. Tissue diffusivity (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f) were derived from bi-exponential fitting of IVIM data obtained with 14 different b-values in three orthogonal directions. We investigated the correlation between D, f, and D* and model-free parameters from the DCE-MRI (wash-in, Tmax, Emax, initial AUC60, whole AUC) and the apparent diffusion coefficient (ADC) value in the tumor and normal masseter muscle using a whole volume-of-interest approach. Pearson's correlation test was used for statistical analysis.ResultsNo correlation was found between f or D* and any of the parameters from the DCE-MRI in all patients or in patients with squamous cell carcinoma (p > 0.05). The ADC was significantly correlated with D values in the tumors (p < 0.001, r = 0.980) and muscles (p = 0.013, r = 0.542), despite its significantly higher value than D. The difference between ADC and D showed significant correlation with f values in the tumors (p = 0.017, r = 0.528) and muscles (p = 0.003, r = 0.630), but no correlation with D* (p > 0.05, respectively).ConclusionIntravoxel incoherent motion shows no significant correlation with model-free perfusion parameters derived from the DCE-MRI but is feasible for the analysis of diffusivity in both tumors and normal muscles of the head and neck.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Intravoxel Incoherent Motion MR Imaging in the Head and Neck: Correlation with Dynamic Contrast-Enhanced MR Imaging and Diffusion-Weighted Imaging

Choi

Sung

et al. 2016

Korean J Radiol

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“…116,117 Recently, non-Gaussian diffusion models, such as diffusion kurtosis imaging (DKI), stretched-exponential model (SEM), intravoxel incoherent motion (IVIM) techniques, have been used to assess tumour perfusion. 118,119 By calculating various diffusion-and perfusion-related parameters (diffusion heterogeneity index, intravoxel distribution of diffusion coefficient, tissue diffusivity, pseudo-diffusivity, and perfusion fraction), these techniques provide information regarding tissue diffusivity and microcapillary perfusion. 120,121 Promising results have been seen regarding cancer detection and staging, monitoring of treatment response, and detecting nodal metastases.…”

Section: Figurementioning

confidence: 99%

Bench to bedside molecular functional imaging in translational cancer medicine: to image or to imagine?

et al. 2015

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“…[10][11][12] In head-andneck cancer, DW-TSE has previously been reported [13][14][15][16][17] to detect and characterize lesions. The majority of the papers applying DW-TSE, report limited experimental details and the image quality is often sub-optimal.…”

Section: Introductionmentioning

confidence: 99%

Technical Note: Diffusion‐weighted MRI with minimal distortion in head‐and‐neck radiotherapy using a turbo spin echo acquisition method

et al. 2017

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Purpose: Diffusion-weighted (DW) MRI, showing high contrast between tumor and background tissue, is a promising technique in radiotherapy for tumor delineation. However, its use for head-and-neck patients is hampered by poor geometric accuracy in conventional echo planar imaging (EPI) DW-MRI. An alternative turbo spin echo sequence, DW-SPLICE, is implemented and demonstrated in patients. Methods: The DW-SPLICE sequence was implemented on a 3.0 T system and evaluated in 10 patients. The patients were scanned in treatment position, using a customized head support and immobilization mask. Image distortions were quantified at the gross tumor volume (GTV) using field map analysis. The apparent diffusion coefficient (ADC) was evaluated using an ice water phantom. Results: The DW images acquired by DW-SPLICE showed no image distortions. Field map analysis at the gross tumor volumes resulted in a median distortion of 0.2 mm for DW-SPLICE, whereas for the conventional method this was 7.2 mm. ADC values, measured using an ice water phantom were in accordance with literature values. Conclusions: The implementation of DW-SPLICE allows for diffusion-weighted imaging of patients in treatment position with excellent geometrical accuracy. The images can be used to facilitate target volume delineation in RT treatment planning.

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Comparison of accuracy of intravoxel incoherent motion and apparent diffusion coefficient techniques for predicting malignancy of head and neck tumors using half-Fourier single-shot turbo spin-echo diffusion-weighted imaging

Cited by 32 publications

References 30 publications

Intravoxel Incoherent Motion MR Imaging in the Head and Neck: Correlation with Dynamic Contrast-Enhanced MR Imaging and Diffusion-Weighted Imaging

Intravoxel Incoherent Motion MR Imaging in the Head and Neck: Correlation with Dynamic Contrast-Enhanced MR Imaging and Diffusion-Weighted Imaging

Bench to bedside molecular functional imaging in translational cancer medicine: to image or to imagine?

Technical Note: Diffusion‐weighted MRI with minimal distortion in head‐and‐neck radiotherapy using a turbo spin echo acquisition method

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