Thymic hyperplasia in Graves' disease

Danilovic, Débora Lucia Seguro; Martin, Regina Matsunaga; Caruso, Pedro; Marui, Suemi

doi:10.1590/s1807-59322011001200027

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…In addition to the 92 cases discussed by Deforges-Bullet et al [9], we found another 15 case reports of thymic enlargements associated with GD published to date [12][13][14][15][16][17][18][19][20][21][22]. Only 4 of these 107 cases in all were diagnosed as thymic malignancies (three thymomas and one T lymphoblastic lymphoma/leukemia [19][20][21]), while TH was confirmed in all the other cases.…”

Section: Review Of the Literaturesupporting

confidence: 51%

Thymic hyperplasia in patients with Graves’ disease

Costa

Mangano²,

Betterle

2014

J Endocrinol Invest

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Section: Review Of the Literaturesupporting

confidence: 51%

Thymic hyperplasia in patients with Graves’ disease

Costa

Mangano²,

Betterle

2014

J Endocrinol Invest

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“…However, many hyperplasia cases presented with large soft tissue masses, which were easily detected on chest radiograph, were found misdiagnosed as thymoma. 9 -13 In patients with MG, Nicolaou et al 14 found thymic lymphoid hyperplasia can exhibit variable morphologies and sizes as it may appear normal (45% of cases), triangular-shaped diffusely enlargement with smooth margin (35%), or as a focal thymic mass (20%). This mass could not be differentiated with thymoma (Figure 2).…”

Section: Discussionmentioning

confidence: 99%

The Value of CT and MRI for Determining Thymoma in Patients With Myasthenia Gravis

Tuấn¹,

Viện²,

Dong

et al. 2019

Cancer Control

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The aim of the study was to evaluate the usefulness of computed tomography (CT) and magnetic resonance imaging (MRI) for differentiating thymoma from nonthymoma abnormalities in patients with myasthenia gravis (MG). A cross-sectional study of 53 patients with MG, who had undergone surgical thymectomy, was conducted at 103 Hospital (Hanoi, Vietnam) and Cho Ray Hospital (Ho Chi Minh City, Vietnam) during August 2014 and January 2017. The CT and MRI images of patients with MG were qualitatively and quantitatively (radiodensity and chemical shift ratio [CSR]) analyzed to determine and compare their ability to distinguish thymoma from nonthymoma abnormalities. Logistic regression was used to identify the association between imaging parameters (eg, CSR) and the thymoma status. The receiver operating curve (ROC) analysis was used to determine the differentiating ability of CSR and radiodensity. As results, of the 53 patients with MG, 33 were with thymoma and 20 were with nonthymoma abnormalities. At qualitative assessment, MRI had significantly higher accuracy than did CT in differentiating thymoma from nonthymoma abnormalities (94.3% vs 83%). At quantitative assessment, both the radiodensity and CSR were significantly higher for thymoma compared with nonthymoma groups ( P < .001). The ROC analysis showed that CSR had significantly higher sensitivity (Se) and specificity (Sp) than radiodensity in discriminating between the 2 groups (CSR: Se 100%, Sp 95% vs radiodensity: Se 90.9%, Sp 70%). When combining both qualitative and quantitative parameters, MRI had even higher accuracy than did CT in thymoma diagnosis ( P = .031). In conclusion, chemical shift MRI was more accurate than CT for differentiating thymoma from nonthymoma in patients with MG.

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