Utility of high b-value (2000 sec/mm2) DWI with RESOLVE in differentiating papillary thyroid carcinomas and papillary thyroid microcarcinomas from benign thyroid nodules

Wang, Qingjun; Guo, Yumei; Zhang, Jing; Shi, Li‐Jing; Ning, Hao-yong; Zhang, Xiliang; Lu, Yuanyuan

doi:10.1371/journal.pone.0200270

Cited by 13 publications

(10 citation statements)

References 22 publications

(33 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The mathematical model and parameter algorithm for DWI are calculated based on the Gaussian distribution of water diffusion, which does not conform to the true diffusion of water molecules in biological tissue. The lesions displayed by DWI are closely associated with the b-value [29, 30]. When b is less than 1000 s/mm 2 , water movement in the tissue seems to conform to the Gaussian distribution, since some minor factors that hamper water movement is difficult to detect, such as cell membranes and organelles.…”

Section: Discussionmentioning

confidence: 99%

Comparative analysis of the value of diffusion kurtosis imaging and diffusion-weighted imaging in evaluating the histological features of endometrial cancer

et al. 2019

View full text Add to dashboard Cite

Purpose This study evaluated and compared the performances of diffusion kurtosis imaging (DKI) and diffusion-weighted imaging (DWI) for diagnosing and histologically grading endometrial cancer. Materials and methods In this retrospective study, DKI and DWI data for 61 patients with endometrial cancer and 30 patients with a normal endometrium were analyzed, and the mean kurtosis (MK), mean diffusion coefficient (MD) and apparent diffusion coefficient (ADC) values for the endometrial cancer tissue and normal endometrial tissue were acquired. The parameters for the normal endometrium group (G0) and the endometrial cancer groups (G1, G2 and G3) were compared and analyzed. The receiver operating characteristic (ROC) curve was used to evaluate each parameter’s diagnostic accuracy and threshold. Spearman correlation analysis was used to analyze the correlations between all parameters and histological grades. Results The MK values for the G0, G1, G2 and G3 groups increased gradually, while the MD and ADC values decreased gradually. Except for the differences in the ADC values between G0 and G1, the differences among the groups were statistically significant ( P < 0.05). The MK values had the highest diagnostic accuracy in differentiating G0 and (G1 + G2 + G3), G0 and G1, G1 and G2, and G2 and G3 (AUC = 0.93, 0.76, 0.91, 0.91, P < 0.05). MK was maximally correlated with histological grade, followed by MD and ADC (MK > MD > ADC; r = − 0.85, + 0.82, + 0.76, P < 0.01). Conclusion Both DKI and DWI can be used to evaluate the diagnosis and histological grading of endometrial cancer. Compared with DWI, the DKI model is a more complete mathematical model with more sensitive parameters, which can more effectively evaluate the pathological and physiological characteristics of endometrial cancer.

show abstract

Section: Discussionmentioning

confidence: 99%

Comparative analysis of the value of diffusion kurtosis imaging and diffusion-weighted imaging in evaluating the histological features of endometrial cancer

et al. 2019

View full text Add to dashboard Cite

show abstract

“…It may reveal the heterogeneity of lesions, and thus ensure more accurate discrimination. Readout Segmentation of Long Variable Echo‐trains (RESOLVE) based on the reacquisition scheme is a relatively new approach to DWI, which reduces susceptibility artifacts and blurring from T 2 * signal decay, and it may improve the substantial reduction in image distortion compared with conventional single‐shot echo‐planar imaging (SS‐EPI) . Moreover, DWI with a high b ‐value ( b > 1000 s/mm 2 ) was introduced along with improvements in MRI gradient technology.…”

mentioning

confidence: 99%

Texture Analysis of High b‐Value Diffusion‐Weighted Imaging for Evaluating Consistency of Pituitary Macroadenomas

Zhang

Pan

et al. 2019

Magnetic Resonance Imaging

View full text Add to dashboard Cite

Background: Preoperative evaluation of the consistency of pituitary macroadenomas is important for neurosurgeons to prepare the surgical plan. Purpose: To evaluate the diagnostic performance of texture analysis (TA) of diffusion-weighted imaging (DWI) at a standard b-value (b = 1000 s/mm 2 ) and a high b-value (b = 2000 s/mm 2 ) for their ability to assess the tumor consistency of pituitary macroadenomas. Study Type: Retrospective. Population/Subjects: Fifty patients with histologically confirmed pituitary macroadenomas were classified as soft (n = 37) or hard (n = 13) types. Field Strength/Sequence: Coronal T 2 -weighted imaging (T 2 WI), Readout Segmentation of Long Variable Echo-trains (RESOLVE) DWI at b = 1000 s/mm 2 and b = 2000 s/mm 2 were acquired with 3.0T MRI. Assessment: The corresponding apparent diffusion coefficient (ADC) maps (ADC 1000 and ADC 2000 ) were registered to T 2 WI. Regions of interest (ROIs) were manually drawn along the solid part of the tumor from the coregistered T 2 WI-ADC images. The texture parameters from T 2 WI, ADC 1000 , and ADC 2000 were acquired. Statistical Tests: The texture parameters were compared between the two types by using unpaired Student's t-test. Receiver operating characteristic (ROC) curves and logistic regression analyses were used to assess their diagnostic performance. Results: Significant differences in TA parameters of ADC 1000 and ADC 2000 were observed between soft and hard types (P < 0.05 for all), whereas the TA of T 2 WI resulted in no significant difference (P > 0.05 for all). TA of ADC 2000 provided a superior diagnostic performance compared with that of ADC 1000 (P = 0.038). A combination of mean value and entropy of ADC 2000 yielded an AUC, a sensitivity, and a specificity of 0.911, 78.4% and 92.3%, respectively. Data Conclusion: TA of ADC values were useful for assessing the tumor consistency of pituitary macroadenomas. ADC 2000 may facilitate better type discrimination. Level of Evidence: 3 Technical Efficacy Stage: 2 J. MAGN. RESON. IMAGING 2020;51:1507-1513.View this article online at wileyonlinelibrary.com.

show abstract

“…According to the fitting curve of the mathematical model, higher b values were believed to better approximate the true diffusion in the tissue. Wang et al [39] reported that using the ADC value with the highest b value (2000 s/mm 2 ) to differentiate benign from malignant tumours of the thyroid yielded a sensitivity of 96.15% and a specificity of 85.48%, indicating that a DWI sequence with a long acquisition time (14 min) may not be desirable for widespread use. In our research, the sensitivity and specificity of the D value in the W-L ROIs were 95.45 and 91.67%, respectively; the DWI sequence required approximately 5 min.…”

Section: Discussionmentioning

confidence: 99%

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

View full text Add to dashboard Cite

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.

show abstract

Utility of high b-value (2000 sec/mm2) DWI with RESOLVE in differentiating papillary thyroid carcinomas and papillary thyroid microcarcinomas from benign thyroid nodules

Cited by 13 publications

References 22 publications

Comparative analysis of the value of diffusion kurtosis imaging and diffusion-weighted imaging in evaluating the histological features of endometrial cancer

Comparative analysis of the value of diffusion kurtosis imaging and diffusion-weighted imaging in evaluating the histological features of endometrial cancer

Texture Analysis of High b‐Value Diffusion‐Weighted Imaging for Evaluating Consistency of Pituitary Macroadenomas

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

Contact Info

Product

Resources

About