Dixon-T2WI magnetic resonance imaging at 3 tesla outperforms conventional imaging for thyroid eye disease

Ollitrault, Alexis; Charbonneau, F.; Herdan, M L; Bergès, O.; Zuber, Kévin; Giovansili, Lama; Launay, Pauline; Savatovsky, Julien

doi:10.1007/s00330-020-07540-y

Cited by 14 publications

(12 citation statements)

References 35 publications

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“…In some studies, investigators compared Dixon-T2WI with conventional T1WI, T2WI, and other FS sequences such as fat-sat. With higher signal values in the edematous fraction, Dixon-T2WI was shown to improve the sensitivity and specificity of the diagnosis ( 23 , 24 ). Accordingly, the predictive performance of treatment response by FS sequence is better than T2RT ( Figure 3F ) ( 18 , 20 ).…”

Section: Mri For Evaluation Of Gomentioning

confidence: 99%

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Current insights of applying MRI in Graves’ ophthalmopathy

Song

Luo

et al. 2022

Front. Endocrinol.

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Graves’ ophthalmopathy (GO) is an autoimmune disease related to Grave’s disease (GD). The therapeutic strategies for GO patients are based on precise assessment of the activity and severity of the disease. However, the current assessment systems require development to accommodate updates in treatment protocols. As an important adjunct examination, magnetic resonance imaging (MRI) can help physicians evaluate GO more accurately. With the continuous updating of MRI technology and the deepening understanding of GO, the assessment of this disease by MRI has gone through a stage from qualitative to precise quantification, making it possible for clinicians to monitor the microstructural changes behind the eyeball and better integrate clinical manifestations with pathology. In this review, we use orbital structures as a classification to combine pathological changes with MRI features. We also review some MRI techniques applied to GO clinical practice, such as disease classification and regions of interest selection.

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Section: Mri For Evaluation Of Gomentioning

confidence: 99%

“…Ollitrault et al. used the area with low signal in both the Dixon T2WI water map and in T2WI as a marker of EOM fibrosis ( 23 ). Alternatively, enlargement of EOMs with normal T2RT was used as the basis for determining chronic fibrosis ( 98 ).…”

Section: Mri For Evaluation Of Gomentioning

confidence: 99%

Current insights of applying MRI in Graves’ ophthalmopathy

Song

Luo

et al. 2022

Front. Endocrinol.

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“…Water-fat imaging can provide uniform and reliable fat suppression and is widely available for clinical application [12][13][14]. Alexis et al indicated that water-fat sequence had higher sensitivity, specificity and lower artefacts than did the conventional protocol for assessing TAO [15]. Iterative decomposition of water and fat with echo asymmetric and least-squares estimation (IDEAL) sequence can decompose water and fat into two separate images by using asymmetrically acquired echo and an iterativesquares decomposition algorithm to maximize noise performance [16].…”

Section: Introductionmentioning

confidence: 99%

Radiomics analysis of the optic nerve for detecting dysthyroid optic neuropathy, based on water-fat imaging

Luo

Zhao

et al. 2022

Insights Imaging

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Objective Detecting dysthyroid optic neuropathy (DON) in the early stages is vital for clinical decision-making. The aim of this study was to determine the feasibility of using an optic-nerve-based radiomics nomogram on water-fat imaging for detecting DON. Methods This study included 104 orbits (83 in the training cohort) from 59 DON patients and 131 orbits (80 in the training cohort) from 69 thyroid-associated ophthalmopathy (TAO) without DON patients. Radiomic features were extracted from the optic-nerve T2-weighted water-fat images for each patient. Selected radiomics features were retrained to construct the radiomic signature model and calculate the radiomic score (Rad-score). The conventional MRI evaluation model was constructed based on apical crowding sign, optic-nerve stretching sign and muscle index. The radiomics nomogram model combining the Rad-score and conventional MRI evaluation factors was then developed. Predictive performance of the three models was assessed using ROC curves. Results Eight radiomics features from water-fat imaging were selected to build the radiomics signature. The radiomics nomogram (based on Rad-score, apical crowding sign and optic-nerve stretching sign) had superior diagnostic performance than did the conventional MRI evaluation model (AUC in the training set: 0.92 vs 0.80, the validation set:0.88 vs 0.75). Decision curve analysis confirmed the clinical usefulness of the radiomics nomogram. Conclusions This optic-nerve-based radiomics nomogram showed better diagnostic performance than conventional MRI evaluation for differentiating DON from TAO without DON. The changes of the optic-nerve itself may deserve more consideration in the clinical decision-making process.

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“…In the case of active inflammation, MRI typically shows high signal intensity of the extraocular muscles and the adipose tissue as well as the lacrimal gland herniation [1,[3][4][5][6][7]. MRI has been reported to be more sensitive than clinical assessments in detecting orbital inflammation, identifying clinically silent inflammation of deep orbital structures, and in predicting the treatment response [6,8,9]. However, as there is no current gold standard for diagnosing inflammation in TED, it is impossible to ascertain that MRI is more accurate and reliable than the clinical and biological assessments.…”

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confidence: 99%

“…For example, susceptibility artifacts are frequent in the orbital region, which is surrounded by paranasal sinuses, and is therefore prone to incomplete fat-suppression at air-tissue interfaces. These sequences were reported to improve both sensitivity and specificity when evaluating inflammation in TED as compared to a conventional protocol [6].…”

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confidence: 99%

Dixon-T2WI magnetic resonance imaging at 3 tesla outperforms conventional imaging for thyroid eye disease

Cited by 14 publications

References 35 publications

Current insights of applying MRI in Graves’ ophthalmopathy

Current insights of applying MRI in Graves’ ophthalmopathy

Radiomics analysis of the optic nerve for detecting dysthyroid optic neuropathy, based on water-fat imaging

Expanding diagnostic tools for dysthyroid optic neuropathy: how quantitative MRI can be used to visualize and measure orbital inflammation

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