T1 mapping and reduced field‐of‐view DWI at 3.0 T MRI for differentiation of thyroid papillary carcinoma from nodular goiter

Yuan, Letian; Zhao, PanWen; Lin, Xiangtao; Yu, Tianyi; Diao, Ruiyuan; ning, Guqing

doi:10.1111/cpf.12803

Clin Physio Funct Imaging

2022

DOI: 10.1111/cpf.12803

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T1 mapping and reduced field‐of‐view DWI at 3.0 T MRI for differentiation of thyroid papillary carcinoma from nodular goiter

Letian Yuan

PanWen Zhao

Xiangtao Lin

et al.

Abstract: Background: Reduced field-of-view diffusion-weighted imaging (rFOV-DWI) could be proved to quantitatively identify papillary thyroid carcinoma (PTC) and there is no literature regarding the use of T1 mapping to distinguish nodular goiter (NG) from PTC.

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Cited by 4 publications

References 29 publications

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Multiparametric approach with synthetic MR imaging for diagnosing salivary gland lesions

Takumi,

Nakanosono,

Nagano

et al. 2024

Jpn J Radiol

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Purpose To determine whether synthetic MR imaging can distinguish between benign and malignant salivary gland lesions. Methods The study population included 44 patients with 33 benign and 11 malignant salivary gland lesions. All MR imaging was obtained using a 3 Tesla system. The QRAPMASTER pulse sequence was used to acquire images with four TI values and two TE values, from which quantitative images of T1 and T2 relaxation times and proton density (PD) were generated. The Mann–Whitney U test was used to compare T1, T2, PD, and ADC values among the subtypes of salivary gland lesions. ROC analysis was used to evaluate diagnostic capability between malignant tumors (MTs) and either pleomorphic adenomas (PAs) or Warthin tumors (WTs). We further calculated diagnostic accuracy for distinguishing malignant from benign lesions when combining these parameters. Results PAs demonstrated significantly higher T1, T2, PD, and ADC values than WTs (all p < 0.001). Compared to MTs, PAs had significantly higher T1, T2, and ADC values (all p < 0.001), whereas WTs had significantly lower T1, T2, and PD values (p < 0.001, p = 0.008, and p = 0.003, respectively). T2 and ADC were most effective in differentiating between MTs and PAs (AUC = 0.928 and 0.939, respectively), and T1 and PD values for differentiating between MTs and WTs (AUC = 0.915 and 0.833, respectively). Combining T1 with T2 or ADC achieved accuracy of 86.4% in distinguishing between malignant and benign tumors. Similarly, combining PD with T2 or ADC reached accuracy of 86.4% for differentiating between malignant and benign tumors. Conclusions Utilizing a combination of synthetic MRI parameters may assist in differentiating malignant from benign salivary gland lesions.

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Multiparametric approach with synthetic MR imaging for diagnosing salivary gland lesions

Takumi,

Nakanosono,

Nagano

et al. 2024

Jpn J Radiol

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Role of advanced MRI sequences for thyroid lesions assessment. A narrative review

Martín-Noguerol,

Santos-Armentia,

Fernandez-Palomino

et al. 2024

European Journal of Radiology

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Quantitative evaluation of diffusion-weighted MRI for differentiating benign and malignant thyroid nodules larger than 4 cm

Zheng,

Xie,

et al. 2023

BMC Med Imaging

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Purpose Our study aimed to diagnose benign or malignant thyroid nodules larger than 4 cm using quantitative diffusion-weighted imaging (DWI) analysis. Methods Eighty-two thyroid nodules were investigated retrospectively and divided them into benign (n = 62) and malignant groups (n = 20). We calculated quantitative features DWI and apparent diffusion coefficient (ADC) signal intensity standard deviation (DWISD and ADCSD), DWI and ADC signal intensity ratio (DWISIR and ADCSIR), mean ADC and minimum ADC value (ADCmean and ADCmin) and ADC value standard deviation (ADCVSD). Univariate and multivariate logistic regression were conducted to identify independent predictors, and develop a prediction model. We performed receiver operating characteristic (ROC) analysis to determine the optimal threshold of risk factors, and constructed combined threshold models. Our study calculated diagnostic performance including area under the ROC curve (AUC), accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and unnecessary biopsy rate of all models were calculated and compared them with the American College of Radiology Thyroid Imaging Reporting and Data System (ACR-TIRADS) result. Results Two independent predictors of malignant nodules were identified by multivariate analysis: DWISIR (P = 0.007) and ADCmin (P < 0.001). The AUCs for multivariate prediction model, combined DWISIR and ADCmin thresholds model, combined DWISIR and ADCSIR thresholds model and ACR-TIRADS were 0.946 (0.896–0.996), 0.875 (0.759–0.991), 0.777 (0.648–0.907) and 0.722 (0.588–0.857). The combined DWISIR and ADCmin threshold model had the lowest unnecessary biopsy rate of 0%, compared with 56.3% for ACR-TIRADS. Conclusion Quantitative DWI demonstrated favorable malignant thyroid nodule diagnostic efficacy. The combined DWISIR and ADCmin thresholds model significantly reduced the unnecessary biopsy rate.

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T1 mapping and reduced field‐of‐view DWI at 3.0 T MRI for differentiation of thyroid papillary carcinoma from nodular goiter

Abstract: Background: Reduced field-of-view diffusion-weighted imaging (rFOV-DWI) could be proved to quantitatively identify papillary thyroid carcinoma (PTC) and there is no literature regarding the use of T1 mapping to distinguish nodular goiter (NG) from PTC.

Cited by 4 publications

References 29 publications

Multiparametric approach with synthetic MR imaging for diagnosing salivary gland lesions

Multiparametric approach with synthetic MR imaging for diagnosing salivary gland lesions

Role of advanced MRI sequences for thyroid lesions assessment. A narrative review

Quantitative evaluation of diffusion-weighted MRI for differentiating benign and malignant thyroid nodules larger than 4 cm

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