<i>T</i><sub>2</sub>* mapping at 3.0T MRI for differentiation of papillary thyroid carcinoma from benign thyroid nodules

Shi, Rong; Yao, Qing; Wu, Lian‐Ming; Zhou, Qianxiang; Lü, Qing; Gao, Runlin; Hu, Jiani; Kao, Leslie; Bains, Ashika; Yan, Zhao-Wen; Dai, Yongming; Xu, Jianrong; Zhou, Yan

doi:10.1002/jmri.25041

Cited by 21 publications

(22 citation statements)

References 15 publications

(45 reference statements)

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“…One previous study showed that only 26/40 patients had images that could be interpreted because of distortion [ 8 ]. Another study showed that patient motion was the major factor of exclusion due to breathing, swallowing, and coughing [ 2 ]. In addition, the b value is a critical factor affecting image quality and ADC values.…”

Section: Discussionmentioning

confidence: 99%

“…About, 19–67% of the healthy, asymptomatic individuals are diagnosed with nodules of the thyroid [ 1 ]. Malignant thyroid nodules account for 5–15% of all thyroid nodules [ 2 , 3 ]. With the rapid economic development of China, healthcare access and screening are improving in China and the detection and prevalence of thyroid nodules is reaching epidemics proportions, from 8% in 2002 to 25% in 2013 [ 4 ], as has been observed in developed countries [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

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Diagnostic efficacy of multiple MRI parameters in differentiating benign vs. malignant thyroid nodules

et al. 2018

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BackgroundDiffusion weighted imaging (DWI) has a good diagnostic value for malignant thyroid nodules, but the published protocols suffer from flaws and focus on the apparent diffusion coefficient (ADC). This study investigated the diagnostic performance of multiple MRI parameters in differentiating malignant from benign thyroid nodules.MethodsThis was a retrospective study of 181 consecutive patients (148 benign and 111 malignant nodules, confirmed by pathological results). The patients underwent conventional MRI, DWI, and dynamic contrast-enhanced MRI before surgery. The chi-square test and the Student t test were used to compare the conventional features and ADC value between malignant and benign groups. Multivariate logistic regression was used to identify the independent predictors and to construct a model. Receiver operator characteristic (ROC) curve analysis was used to assess the diagnostic performance of the independent variables and model.ResultsTumor diameter, ADC value, cystic degeneration, pseudocapsule sign, high signal cystic area on T1-weighted imaging, ring sign in the delayed phase, and irregular shape showed significant differences between two groups (all P < 0.05). The multivariable analysis revealed that ADC value (OR = 694.006, P < 0.001), irregular shape (OR = 32.798, P < 0.001), ring sign in the delayed phase (OR = 20.381, P = 0.004), and cystic degeneration (OR = 8.468, P = 0.016) were independent predictors. Among them, ADC performed the best in discriminating benign from malignant nodules, with an area under the curve (AUC) of 0.95, 0.90 sensitivity, and 0.91 specificity. When the independent factors were combined, the diagnostic performance was improved with an AUC of 0.99, 0.97 sensitivity, and 0.95 specificity.ConclusionsADC value could discriminate between benign and malignant thyroid nodules with a good performance. Subjective features such as the ring sign, irregular shape, and cystic degeneration associated with malignant thyroid nodules could provide complementary information for differentiation.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Diagnostic efficacy of multiple MRI parameters in differentiating benign vs. malignant thyroid nodules

et al. 2018

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“…T 1 and T 2 relaxation time constants have been shown to correlate to fibrosis, cartilage integrity, and tumor response either de novo or following administration of intravenous contrast . T 2 * relaxation is a susceptibility‐dependent extension of T 2 relaxation that can be used in the detection of brain microbleeds, tumors, and iron deposition . Since T 1 , T 2 , and T 2 * are all affected by changes in tissue structure or composition, a multi‐parametric approach to relaxation time constant mapping could provide more robust detection of tissue changes.…”

Section: Introductionmentioning

confidence: 99%

Multi‐parametric T₂* magnetic resonance fingerprinting using variable echo times

et al. 2018

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The use of quantitative imaging biomarkers in the imaging of various disease states, including cancer and neurodegenerative disease, has increased in recent years. T , T , and T * relaxation time constants have been shown to be affected by tissue structure or contrast infusion. Acquiring these biomarkers simultaneously in a multi-parametric acquisition could provide more robust detection of tissue changes in various disease states including neurodegeneration and cancer. Traditional magnetic resonance fingerprinting (MRF) has been shown to provide quick, quantitative mapping of T and T relaxation time constants. In this study, T * relaxation is added to the MRF framework using variable echo times (TE). To demonstrate the feasibility of the method and compare incremental and golden angle spiral rotations, simulated phantom data was fit using the proposed method. Additionally, T /T /T */δf MRF as well as conventional T , T , and T * acquisitions were acquired in agar phantoms and the brains of three healthy volunteers. Golden angle spiral rotation was found to reduce inaccuracy resulting from off resonance effects. Strong correlations were found between conventional and MRF values in the T , T , and T * relaxation time constants of the agar phantoms and healthy volunteers. In this study, T * relaxation has been incorporated into the MRF framework by using variable echo times, while still fitting for T and T relaxation time constants. In addition to fitting these relaxation time constants, a novel method for fitting and correcting off resonance effects has been developed.

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“…Thyroid MRI is a noninvasive examination technique without the risk of radiation and contrast medium injection ( 4 , 5 ). In recent years, thyroid MRI has been increasingly used in the diagnosis of thyroid diseases ( 4 , 5 , 6 , 7 , 8 , 9 ). For example, diffusion-weighted MRI was well applied in identifying autoimmune thyroid disease and malignant thyroid nodules ( 4 , 5 , 6 , 7 , 8 , 9 ).…”

Section: Discussionmentioning

confidence: 99%

“…Recently, MRI has been increasingly used for identifying thyroid diseases ( 4 , 5 , 6 , 7 , 8 , 9 ). Longitudinal relaxation time mapping (T1-mapping) measured by MRI is a new technique for assessing fibrosis of some organs, such as the heart and liver ( 10 , 11 ).…”

Section: Introductionmentioning

confidence: 99%

Magnetic resonance T1-mapping evaluates the degree of thyroid destruction in patients with autoimmune thyroiditis

Liu

Chen

Jia

et al. 2018

Endocrine Connections

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ObjectiveAutoimmune thyroiditis (AIT) is the most common autoimmune thyroid disease. Longitudinal relaxation time mapping (T1-mapping) measured by MRI is a new technique for assessing interstitial fibrosis of some organs, such as heart and liver. This study aimed to evaluate the relationship between T1-mapping value and thyroid function and determine the usefulness of T1-mapping in identifying thyroid destruction in AIT patients.MethodsThis case–control study recruited 57 drug-naïve AIT patients and 17 healthy controls. All participants were given thyroid MRI, and T1-mapping values were measured using a modified look-locker inversion-recovery sequence.ResultsAIT patients had significantly higher thyroid T1-mapping values than the healthy controls (1.077 ± 177 vs 778 ± 82.9 ms; P < 0.01). A significant increase in thyroid T1-mapping values was presented along with the increased severity of thyroid dysfunction (P < 0.01). Correlation analyses showed that increased thyroid T1-mapping values were associated with higher TSH and lower FT3 and FT4 levels (TSH: r = 0.75; FT3: r = −0.47; FT4: r = −0.72; all P < 0.01). Receiver-operating characteristic curve analysis revealed a high diagnostic value of T1-mapping values for the degree of thyroid destruction (area under the curve was 0.95, 95% CI: 0.90–0.99, P < 0.01).ConclusionsAIT patients have higher thyroid T1-mapping values than the healthy controls, and the T1-mapping values increased with the progression of thyroid dysfunction. Thyroid T1-mapping value might be a new index to quantitatively evaluate the degree of thyroid destruction in AIT patients.

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T₂* mapping at 3.0T MRI for differentiation of papillary thyroid carcinoma from benign thyroid nodules

Abstract: T2* mapping can potentially provide quantitative information to separate PTC from benign thyroid nodules.

Cited by 21 publications

References 15 publications

Diagnostic efficacy of multiple MRI parameters in differentiating benign vs. malignant thyroid nodules

Diagnostic efficacy of multiple MRI parameters in differentiating benign vs. malignant thyroid nodules

Multi‐parametric T₂* magnetic resonance fingerprinting using variable echo times

Magnetic resonance T1-mapping evaluates the degree of thyroid destruction in patients with autoimmune thyroiditis

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T2* mapping at 3.0T MRI for differentiation of papillary thyroid carcinoma from benign thyroid nodules

Abstract: T2* mapping can potentially provide quantitative information to separate PTC from benign thyroid nodules.

Cited by 21 publications

References 15 publications

Diagnostic efficacy of multiple MRI parameters in differentiating benign vs. malignant thyroid nodules

Diagnostic efficacy of multiple MRI parameters in differentiating benign vs. malignant thyroid nodules

Multi‐parametric T2* magnetic resonance fingerprinting using variable echo times

Magnetic resonance T1-mapping evaluates the degree of thyroid destruction in patients with autoimmune thyroiditis

Contact Info

Product

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T₂* mapping at 3.0T MRI for differentiation of papillary thyroid carcinoma from benign thyroid nodules

Multi‐parametric T₂* magnetic resonance fingerprinting using variable echo times