scholarly journals Diagnostic accuracy of B-mode ultrasound, ultrasound elastography and diffusion weighted MRI in differentiation of thyroid nodules (prospective study)

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Mahmoud Abdel Latif ◽  
Magdy Mohamed El Rakhawy ◽  
Mohamed Fathy Saleh
Keyword(s):  
Thyroid Nodules ◽  
Strain Ratio ◽  
Ultrasound Elastography ◽  
Thyroid Ultrasound ◽  
Diffusion Weighted Mri ◽  
Adc Value ◽  
Diffusion Weighted ◽  
And Diffusion ◽  
Benign Thyroid Nodules ◽  
Benign Thyroid

Abstract Background The incidence of the thyroid nodules and its detection is increasing rapidly. The most precise method for diagnosis of the nodules of the thyroid is FNAC. But, about 10–20% of specimens of FNAC are indeterminate and non-diagnostic. Therefore, there is a demand for another diagnostic method for evaluating thyroid nodules. Thyroid ultrasound elastography may improve the ability to differentiate malignant from benign thyroid nodules. Few articles were published about the results of DW MRI in thyroid nodules, with its results confirmed that malignant nodules have lower mean ADC values than benign nodules. This study aims to investigate and compare the accuracy of B-mode ultrasound, ultrasound elastography and diffusion-weighted MRI in characterization of the nodules of the thyroid. Results The study included 56 patients with thyroid nodules (36 benign and 20 malignant). Thyroid ultrasound, ultrasound elastography and DWI were done for all patients. Ultrasound-guided FNA Cytological examination (as the gold standard) was done for 48 patients and surgical histopathology was done to 8 patients with non-diagnostic FNAC. The results showed: TIRADS score had sensitivity 90%, specificity 77.8% and accuracy of 82.14%. The elastography score had sensitivity 80%, specificity 88.9% and accuracy 85.7%. The use of the strain ratio had 80% sensitivity, 94.4% specificity and 89.3% accuracy. DWI and ADC value had 100% sensitivity and 94.4% specificity and the accuracy was 96.4% for differentiating malignant from benign thyroid nodules. Multi-parametric analysis by TIRADS and ADC had 100% accuracy. Conclusion Ultrasound elastography add valuable data over ultrasound TIRADS. But, diffusion weighted MRI and ADC value has more accuracy in differentiating malignant from benign thyroid nodules. The best performance was achieved by the combination of ACR-TIRADS and ADC value.

scholarly journals Diffusion-weighted MRI in differentiating malignant from benign thyroid nodules: a meta-analysis

BMJ Open ◽  
2016 ◽  
Vol 6 (1) ◽  
pp. e008413 ◽  
Author(s):  
Lihua Chen ◽  
Jian Xu ◽  
Jing Bao ◽  
Xuequan Huang ◽  
Xiaofei Hu ◽  
...  
Keyword(s):  
Thyroid Nodules ◽  
Meta Analysis ◽  
Diffusion Weighted Mri ◽  
Diffusion Weighted ◽  
Benign Thyroid Nodules ◽  
Benign Thyroid

Diagnostic Value of Acoustic Radiation Force Impulse Quantification in the Differentiation of Benign and Malignant Thyroid Nodules

2017 ◽  
Vol 39 (5) ◽  
pp. 326-336 ◽  
Author(s):  
Niraj Nirmal Pandey ◽  
Gaurav Shanker Pradhan ◽  
Alpana Manchanda ◽  
Anju Garg
Keyword(s):  
Thyroid Nodules ◽  
Acoustic Radiation ◽  
Radiation Force ◽  
Acoustic Radiation Force ◽  
Ultrasound Elastography ◽  
Acoustic Radiation Force Impulse ◽  
Shear Wave Speed ◽  
The Mean ◽  
Benign Thyroid Nodules ◽  
Benign Thyroid

The objective of this study was to evaluate the role of ultrasound elastography using acoustic radiation force impulse (ARFI) quantification in characterizing and differentiating malignant versus benign thyroid nodules. A total of 40 thyroid nodules were evaluated with conventional sonography and ultrasound elastography using ARFI quantification. The final diagnosis was obtained from histologic findings. A total of 14 malignant and 26 benign nodules were diagnosed on the basis of histologic examination. Majority of the malignant thyroid nodules demonstrated presence of intranodular vascular flow, hypoechoic echotexture, absent halo, irregular margins and microcalcifications. However, a considerable overlap was noted in the sonographic features of malignant and benign thyroid nodules. On ARFI quantification, the mean shear wave speed (SWS) values ( M ± SD) of malignant and benign thyroid nodules were 3.131 ± 0.921 m/s and 1.691 ± 0.513 m/s, respectively. A significant difference was observed between the mean SWS values of malignant thyroid nodules and benign thyroid nodules ( p < 0.0001). Applying a cutoff value of 2.53 m/s, the sensitivity, specificity, and the area under the receiver operating characteristic curve for the differentiation were 85.71%, 96.15%, and 0.922, respectively. ARFI quantification is a promising elastography technique that provides quantitative information about tissue stiffness. It provides additional information and complements sonography as an effective diagnostic tool in characterizing and differentiating benign from malignant thyroid nodules.

scholarly journals Value of Diffusion Weighted MRI with Quantitative ADC Map in Diagnosis of Malignant Thyroid Disease

Diagnostics ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 129
Author(s):  
Le Tuan Linh ◽  
Nguyen Ngoc Cuong ◽  
Tran Viet Hung ◽  
Nguyen Van Hieu ◽  
Bui Van Lenh ◽  
...  
Keyword(s):  
Thyroid Nodules ◽  
Statistical Tests ◽  
B Value ◽  
University Hospital ◽  
Common Disease ◽  
Diffusion Weighted Mri ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Apparent Diffusion ◽  
Magnetic Resonance Imaging Mri

Thyroid nodule is a common disease in clinical practice. The diagnosis of malignant thyroid tumors determines the treatment strategy. Among a number of methods have claimed to help evaluating thyroid nodules, ultrasound is a usable one in spite of several disadvantages (dependent on the physician/technician, incomparable, etc.) and magnetic resonance imaging (MRI) accompanied by quantitative apparent diffusion coefficient (ADC) is a promising diagnostic tool. This study was designed to investigate the usefulness of ADC cut-off values and the protocol of thyroid MRI derived from quantitative diffusion weighted imaging (DWI) in differentiating benign and malignant thyroid nodules. The study was conducted on 93 patients with 128 thyroid nodules, diagnosed and underwent surgery at Hanoi Medical University Hospital. All the patients took thyroid MRI with different b levels (from 200 to 800). ADC value was calculated to each b level, and the statistical tests were conducted with the Statistical Package for Social Sciences (SPSS—Windows and Mac version 20) and STATA 12. The mean ADC with all the b ranging from 200 to 800 of malignant groups was significantly higher than the group of benign lesions (p from <0.001 to 0.01). We chose b = 500 as a standard b-value in the protocol of thyroid MRI. The ADC cut-off point for distinguishing malignant from benign thyroid lesions: 1.7 × 10−3 mm2/s with high accuracy (87.1%, 95% CI: 79.59–92.07%). The study revealed that quantitative diffusion weighted MRI with ADC measurement could potentially quantitatively differentiate between benign and malignant thyroid nodules.

scholarly journals Qualitative ultrasound elastography assessment of benign thyroid nodules: Patterns and intra-observer acquisition variability

2013 ◽  
Vol 23 (4) ◽  
pp. 337 ◽  
Author(s):  
Alexis Lacout ◽  
Carole Chevenet ◽  
Juliette Thariat ◽  
Andrea Figl ◽  
Pierre-Yves Marcy
Keyword(s):  
Thyroid Nodules ◽  
Ultrasound Elastography ◽  
Benign Thyroid Nodules ◽  
Benign Thyroid

Comparison of strain ratio with elastography score system in differentiating malignant from benign thyroid nodules

2013 ◽  
Vol 37 (1) ◽  
pp. 50-55 ◽  
Author(s):  
Hui Wang ◽  
Douglas Brylka ◽  
Li-Na Sun ◽  
Yuan-Qiang Lin ◽  
Guo-Qing Sui ◽  
...  
Keyword(s):  
Thyroid Nodules ◽  
Strain Ratio ◽  
Score System ◽  
Benign Thyroid Nodules ◽  
Benign Thyroid

On the Utility of Quantitative Diffusion-Weighted MR Imaging as a Tool in Differentiation between Malignant and Benign Thyroid Nodules

2014 ◽  
Vol 21 (3) ◽  
pp. 355-363 ◽  
Author(s):  
Lian-Ming Wu ◽  
Xiao-Xi Chen ◽  
Yu-Lai Li ◽  
Jia Hua ◽  
Jie Chen ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Thyroid Nodules ◽  
Diffusion Weighted ◽  
Benign Thyroid Nodules ◽  
Benign Thyroid

scholarly journals Deep Learning Based on ACR TI-RADS Can Improve the Differential Diagnosis of Thyroid Nodules

2021 ◽  
Vol 11 ◽  
Author(s):  
Ge-Ge Wu ◽  
Wen-Zhi Lv ◽  
Rui Yin ◽  
Jian-Wei Xu ◽  
Yu-Jing Yan ◽  
...  
Keyword(s):  
Deep Learning ◽  
Thyroid Nodules ◽  
Ultrasound Images ◽  
Thyroid Ultrasound ◽  
Optimal Model ◽  
Test Set ◽  
Independent Test ◽  
Design And Methods ◽  
Benign Thyroid Nodules ◽  
Benign Thyroid

ObjectiveThe purpose of this study was to improve the differentiation between malignant and benign thyroid nodules using deep learning (DL) in category 4 and 5 based on the Thyroid Imaging Reporting and Data System (TI-RADS, TR) from the American College of Radiology (ACR).Design and MethodsFrom June 2, 2017 to April 23, 2019, 2082 thyroid ultrasound images from 1396 consecutive patients with confirmed pathology were retrospectively collected, of which 1289 nodules were category 4 (TR4) and 793 nodules were category 5 (TR5). Ninety percent of the B-mode ultrasound images were applied for training and validation, and the residual 10% and an independent external dataset for testing purpose by three different deep learning algorithms.ResultsIn the independent test set, the DL algorithm of best performance got an AUC of 0.904, 0.845, 0.829 in TR4, TR5, and TR4&amp;5, respectively. The sensitivity and specificity of the optimal model was 0.829, 0.831 on TR4, 0.846, 0.778 on TR5, 0.790, 0.779 on TR4&amp;5, versus the radiologists of 0.686 (P=0.108), 0.766 (P=0.101), 0.677 (P=0.211), 0.750 (P=0.128), and 0.680 (P=0.023), 0.761 (P=0.530), respectively.ConclusionsThe study demonstrated that DL could improve the differentiation of malignant from benign thyroid nodules and had significant potential for clinical application on TR4 and TR5.

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