Initial experience of 3 tesla apparent diffusion coefficient values in differentiating benign and malignant thyroid nodules

Ilıca, Ahmet Turan; Artaş, Hakan; Ayan, Aslı; Günal, Armağan; Emer, Özdeş; Kılbaş, Zafer; Meriç, Coşkun; Atasoy, Mehmet Mahir; Uzuner, Ovsev

doi:10.1002/jmri.23913

Cited by 17 publications

(14 citation statements)

References 27 publications

(43 reference statements)

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“…The ADC values of the phantoms almost covered the ADC values of the normal and tumor tissues of the human body that are measured clinically by 3T MRI, as summarized in Table I (1,3,5–8,17–19). Table I indicates the sucrose concentration of the ADC phantoms at 37°C, which mimic each tissue of the human body using the empirical formula.…”

Section: Discussionmentioning

confidence: 67%

A new phantom and empirical formula for apparent diffusion coefficient measurement by a 3 Tesla magnetic resonance imaging scanner

et al. 2014

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The aim of this study was to create a new phantom for a 3 Tesla (3T) magnetic resonance imaging (MRI) device for the calculation of the apparent diffusion coefficient (ADC) using diffusion-weighted imaging (DWI), and to mimic the ADC values of normal and tumor tissues at various temperatures, including the physiological body temperature of 37°C. The phantom was produced using several concentrations of sucrose from 0 to 1.2 M, and the DWI was performed using various phantom temperatures. The accurate ADC values were calculated using the DWIs of the phantoms, and an empirical formula was developed to calculate the ADC values of the phantoms from an arbitrary sucrose concentration and arbitrary phantom temperature. The empirical formula was able to produce ADC values ranging between 0.33 and 3.02×10−3 mm2/sec, which covered the range of ADC values of the human body that have been measured clinically by 3T MRI in previous studies. The phantom and empirical formula developed in this study may be available to mimic the ADC values of the clinical human lesion by 3T MRI.

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Section: Discussionmentioning

confidence: 67%

A new phantom and empirical formula for apparent diffusion coefficient measurement by a 3 Tesla magnetic resonance imaging scanner

et al. 2014

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“…Our results showed that the ADC values of malignant nodules were significantly lower than those of benign ones. A few studies also obtained the same results; however, neither the reported ADC values of thyroid nodules nor the optimal cutoff ADC values for differentiating malignant from benign nodules reached a consensus . We believe that these variable results from the literature may be due to different DWI techniques and to different methods for ROI selection.…”

Section: Discussionmentioning

confidence: 87%

“…Diffusion‐weighted imaging (DWI) is reported to be valuable in differentiating malignant and benign thyroid nodules, and to be used as an adjunct to FNAB . Moreover, recent studies have suggested that apparent diffusion coefficient (ADC) values derived from DWI also have the potential to predict aggressiveness of thyroid carcinoma .…”

mentioning

confidence: 99%

Differentiation between malignant and benign thyroid nodules and stratification of papillary thyroid cancer with aggressive histological features: Whole-lesion diffusion-weighted imaging histogram analysis

Hao

Pan

Chen

et al. 2016

J. Magn. Reson. Imaging

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“…These results revealed that the diffusion effect plays a major role in differentiating malignant thyroid nodules, which may be based on differences in the cell density and histopathologic features of benign and malignant thyroid nodules [18,35]. Some ADC and DKI studies with higher b values (1000 s/mm 2 to 2000 s/mm 2 ) have shown the role of diffusion in differentiating benign from malignant thyroid nodules [36,37]. However, Tan et al "s [11].…”

Section: Discussionmentioning

confidence: 92%

Intravoxel incoherent motion and ADC measurements for differentiating benign from malignant thyroid nodules: utilizing the most repeatable region of interest delineation at 3.0 T

et al. 2020

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Background: There is a growing need for a reproducible and effective imaging method for the quantitative differentiation of benign from malignant thyroid nodules. This study aimed to investigate the performances of intravoxel incoherent motion (IVIM) parameters and the apparent diffusion coefficient (ADC) in differentiating malignant from benign thyroid nodules derived from the most repeatable region of interest (ROI) delineation. Methods: Forty-three patients with 46 pathologically confirmed thyroid nodules underwent diffusion-weighted imaging (DWI) with 8 b values. Two observers measured the intravoxel incoherent motion (IVIM) parameters (D, f and D*) and the apparent diffusion coefficient (ADC), ADC 600 and ADC 990 values using whole-lesion (W-L) ROI and IVIM parameters using single-section (S-S) ROI delineation. The intraclass correlation coefficients (ICCs) and Bland-Altman plots were used to evaluate the intra-and interobserver variability. The diagnostic performance of these parameters was evaluated by generating receiver operating characteristic (ROC) curves. Results: The ICC values of all IVIM with W-L ROI delineation were higher than those with S-S ROI delineation, and excellent intra-and interobserver reproducibility was obtained. According to the Bland-Altman plots, the 95% limits of agreement of the IVIM parameters determined by the W-L ROIs revealed smaller absolute intra-and interobserver variability than those determined by S-S ROIs. The D and ADC 600 values obtained from the W-L ROIs were the most powerful parameters in differentiating benign from the malignant nodules [area under the ROC curve = 0.962 and 0.970, P = 0.771]. Conclusions: The W-L ROI of the thyroid was considered an effective method for obtaining IVIM measurements with excellent reproducibility for differentiating benign from malignant nodules.

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Initial experience of 3 tesla apparent diffusion coefficient values in differentiating benign and malignant thyroid nodules

Abstract: This study suggests that the ADC values of nodules measured with a 3T MRI scanner could help in differentiating benign thyroid nodules from malignant nodules.

Cited by 17 publications

References 27 publications

A new phantom and empirical formula for apparent diffusion coefficient measurement by a 3 Tesla magnetic resonance imaging scanner

A new phantom and empirical formula for apparent diffusion coefficient measurement by a 3 Tesla magnetic resonance imaging scanner

Differentiation between malignant and benign thyroid nodules and stratification of papillary thyroid cancer with aggressive histological features: Whole-lesion diffusion-weighted imaging histogram analysis

Intravoxel incoherent motion and ADC measurements for differentiating benign from malignant thyroid nodules: utilizing the most repeatable region of interest delineation at 3.0 T

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