scholarly journals Differentiation between benign and malignant thyroid nodules using diffusion-weighted imaging, a 3-T MRI study

2018 ◽  
Vol 28 (4) ◽  
pp. 460 ◽  
Author(s):  
Soheil Kooraki ◽  
Leila Aghaghazvini ◽  
Hashem Sharifian ◽  
Nasrin Yazdani ◽  
Melina Hosseiny ◽  
...  
Keyword(s):  
Diffusion Weighted Imaging ◽  
Thyroid Nodules ◽  
Diffusion Weighted ◽  
Mri Study

Texture and shape analysis of diffusion‐weighted imaging for thyroid nodules classification using machine learning

2021 ◽  
Author(s):  
Ahmed Sharafeldeen ◽  
Mohamed Elsharkawy ◽  
Reem Khaled ◽  
Ahmed Shaffie ◽  
Fahmi Khalifa ◽  
...  
Keyword(s):  
Machine Learning ◽  
Shape Analysis ◽  
Diffusion Weighted Imaging ◽  
Thyroid Nodules ◽  
Diffusion Weighted

scholarly journals Detailed magnetic resonance imaging features of a case series of primary gliosarcoma

2017 ◽  
Vol 30 (6) ◽  
pp. 546-553 ◽  
Author(s):  
Luísa Sampaio ◽  
Paulo Linhares ◽  
José Fonseca
Keyword(s):  
Magnetic Resonance Imaging ◽  
Diffusion Weighted Imaging ◽  
Case Series ◽  
Dynamic Susceptibility ◽  
Resonance Imaging ◽  
Dynamic Susceptibility Contrast ◽  
Diffusion Weighted ◽  
Dynamic Susceptibility Contrast Mri ◽  
Susceptibility Contrast ◽  
Mri Study

Objective We aimed to characterise the magnetic resonance imaging (MRI) features of a case series of primary gliosarcoma, with the inclusion of diffusion-weighted imaging and perfusion imaging with dynamic susceptibility contrast MRI. Materials and methods We conducted a retrospective study of cases of primary gliosarcoma from the Pathology Department database from January 2006 to December 2014. Clinical and demographic data were obtained. Two neuroradiologists, blinded to diagnosis, assessed tumour location, signal intensity in T1 and T2-weighted images, pattern of enhancement, diffusion-weighted imaging and dynamic susceptibility contrast MRI studies on preoperative MRI. Results Seventeen patients with primary gliosarcomas had preoperative MRI study: seven men and 10 women, with a mean age of 59 years (range 27–74). All lesions were well demarcated, supratentorial and solitary (frontal n = 5, temporal n = 4, parietal n = 3); 13 tumours abutted the dural surface (8/13 with dural enhancement); T1 and T2-weighted imaging patterns were heterogeneous and the majority of lesions (12/17) showed a rim-like enhancement pattern with focal nodularities/irregular thickness. Restricted diffusion (mean apparent diffusion coefficient values 0.64 × 10–3 mm2/s) in the more solid/thick components was present in eight out of 11 patients with diffusion-weighted imaging study. Dynamic susceptibility contrast MRI study ( n = 8) consistently showed hyperperfusion in non-necrotic/cystic components on relative cerebral volume maps. Conclusions The main distinguishing features of primary gliosarcoma are supratentorial and peripheral location, well-defined boundaries and a rim-like pattern of enhancement with an irregular thick wall. Diffusion-weighted imaging and relative cerebral volume map analysis paralleled primary gliosarcoma with high-grade gliomas, thus proving helpful in differential diagnosis.

scholarly journals A Comparative Analysis of Diffusion-weighted Imaging and Ultrasound in Thyroid Nodules

2019 ◽  
Author(s):  
Weidan Kong ◽  
Xiuhui Yue ◽  
Jiliang Ren ◽  
xiaofeng tao
Keyword(s):  
Signal Intensity ◽  
Diffusion Weighted Imaging ◽  
Thyroid Nodules ◽  
Area Under The Curve ◽  
High Sensitivity ◽  
High Specificity ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Significant Difference ◽  
Sensitivity Specificity

Abstract Background: Diffusion-weighted imaging (DWI) and ultrasound are commonly used methods to examine thyroid nodules, but their comparative value is rarely studied. We evaluated the utility of DWI and ultrasound in differentiating benign and malignant thyroid nodules. Methods: A total of 100 patients with 137 nodules who underwent both DWI and ultrasound before operation were enrolled. The T1 and T2 signal intensity ratio (SIR) of each thyroid nodule was calculated by measuring the mean signal intensity divided by that of paraspinal muscle. The apparent diffusion coefficient (ADC) value and the SIR of benign and malignant thyroid nodules were analyzed by two-sample independent t tests. The sensitivity, specificity, and accuracy of DWI and ultrasound were compared with chi-square tests. Results: There was no significant difference in the SIR between benign and malignant thyroid nodules. The ADC value was significantly different. At the threshold value was 1.12 × 10 -3 mm 2 /s, the maximum area under the curve was 0.944. The sensitivity, specificity, and accuracy were 84.9%, 92.2%, and 87.6% respectively. The corresponding values of ultrasound diagnosis were 90.1%, 80.4%, and 86.9%. Conclusions: Ultrasound has high sensitivity in differentiating benign and malignant thyroid nodules, and the ADC value has high specificity, but there is no statistical difference in sensitivity or specificity between the two modalities. DWI and ultrasound each have their own advantages in differentiating benign and malignant thyroid nodules. Keywords Thyroid nodules, Ultrasound, Diffusion-weighted imaging

scholarly journals A Comparative Analysis of DWI and Ultrasound in Thyroid Nodules

2019 ◽  
Author(s):  
Wei dan Kong ◽  
Xiu hui Yue ◽  
Ji liang Ren ◽  
Xiao feng Tao
Keyword(s):  
Sensitivity And Specificity ◽  
Signal Intensity ◽  
Intensity Ratio ◽  
Diffusion Weighted Imaging ◽  
Thyroid Nodules ◽  
Signal Intensity Ratio ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Significant Difference ◽  
Sensitivity Specificity

Abstract Background Diffusion weighted imaging and ultrasound are commonly used methods to examine thyroid nodules, but their comparative value is rarely studied. To evaluate the value of diffusion weighted imaging and ultrasound in differentiing benign and malignant thyroid nodules Methods A total of 100 patients with 137 nodules were enrolled. who underwent both diffusion weighted imaging and ultrasound before operation. T1 and T2 signal intensity ratio (SIR) of each thyroid nodule was calculated by measuring the mean signal intensity divided by that of paraspinal muscle. The value of ADC,signal intensity ratio (SIR) of benign and malignant thyroid nodules were analyzed by two independent sample t test. The sensitivity, specificity and accuracy of DWI and ultrasound were compared and analyzed by chi-square test. Results There was no significant difference in signal intensity ratio between benign and malignant thyroid nodules. The ADC value had significant difference. When the threshold value was 1.12 ×10-3 mm2/s, the maximum area under the curve was 0.944,The sensitivity, specificity and accuracy were 84.9%, 92.2% and 87.6% respectively. The sensitivity and specificity of ultrasound diagnosis were 90.1%, 80.4% and 86.9% respectively. Conclusion Ultrasound has high sensitivity in differentiating benign and malignant thyroid nodules, and ADC value has high specificity in differentiating thyroid nodules, but there is no statistical difference in sensitivity and specificity between the two. DWI and Ultrasound have their own advantages in differentiating benign and malignant thyroid nodules.

scholarly journals A comparative analysis of diffusion-weighted imaging and ultrasound in thyroid nodules

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Weidan Kong ◽  
Xiuhui Yue ◽  
Jiliang Ren ◽  
Xiaofeng Tao
Keyword(s):  
Signal Intensity ◽  
Diffusion Weighted Imaging ◽  
Thyroid Nodules ◽  
Area Under The Curve ◽  
High Sensitivity ◽  
High Specificity ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Significant Difference ◽  
Sensitivity Specificity

Abstract Background Diffusion-weighted imaging (DWI) and ultrasound are commonly used methods to examine thyroid nodules, but their comparative value is rarely studied. We evaluated the utility of DWI and ultrasound in differentiating benign and malignant thyroid nodules. Methods A total of 100 patients with 137 nodules who underwent both DWI and ultrasound before operation were enrolled. The T1 and T2 signal intensity ratio (SIR) of each thyroid nodule was calculated by measuring the mean signal intensity divided by that of paraspinal muscle. The apparent diffusion coefficient (ADC) value and the SIR of benign and malignant thyroid nodules were analyzed by two-sample independent t tests. The sensitivity, specificity, and accuracy of DWI and ultrasound were compared with chi-square tests. Results There was no significant difference in the SIR between benign and malignant thyroid nodules. The ADC value was significantly different. At the threshold value was 1.12 × 10− 3 mm2/s, the maximum area under the curve was 0.944. The sensitivity, specificity, and accuracy were 84.9, 92.2, and 87.6% respectively. The corresponding values of ultrasound diagnosis were 90.1, 80.4, and 86.9%. Conclusions Ultrasound has high sensitivity in differentiating benign and malignant thyroid nodules, and the ADC value has high specificity, but there is no statistical difference in sensitivity or specificity between the two modalities. DWI and ultrasound each have their own advantages in differentiating benign and malignant thyroid nodules.

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