Giant cervical goiter in Hashimoto’s thyroiditis: A case report

Tao, Tang; Yang, Gang; Sun, Jian; Chen, Xiaoli; Li, Weinan; Li, Qiang; Zhu, Jian-Jiao; Xiong, Yi; Li, Jingdong

doi:10.1177/03000605221096379

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…Nodular-like changes are seen microscopically in adenomatous goiter. The DNN model may misclassify normal thyroid tissue when it has a large follicular structure [ 18 , 19 ]. Therefore, adenomatous goiter in this study was not only easily misdiagnosed as adenoma but also partially misdiagnosed as the normal thyroid gland.…”

Section: Discussionmentioning

confidence: 99%

The value of deep neural networks in the pathological classification of thyroid tumors

Deng,

Li,

Feng

et al. 2023

Diagn Pathol

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Background To explore the distinguishing diagnostic value and clinical application potential of deep neural networks (DNN) for pathological images of thyroid tumors. Methods A total of 799 pathological thyroid images of 559 patients with thyroid tumors were retrospectively analyzed. The pathological types included papillary thyroid carcinoma (PTC), medullary thyroid carcinoma (MTC), follicular thyroid carcinoma (FTC), adenomatous goiter, adenoma, and normal thyroid gland. The dataset was divided into a training set and a test set. Resnet50, Resnext50, EfficientNet, and Densenet121 were trained using the training set data and tested with the test set data to determine the diagnostic efficiency of different pathology types and to further analyze the causes of misdiagnosis. Results The recall, precision, negative predictive value (NPV), accuracy, specificity, and F1 scores of the four models ranged from 33.33% to 100.00%. The area under curve (AUC) ranged from 0.822 to 0.994, and the Kappa coefficient ranged from 0.7508 to 0.7713. However, the performance of diagnosing FTC, adenoma, and adenomatous goiter was slightly inferior to other types of pathological tissues. Conclusion The DNN model achieved satisfactory results in the task of classifying thyroid tumors by learning thyroid pathology images. These results indicate the potential of the DNN model for the efficient diagnosis of thyroid tumor histopathology.

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Section: Discussionmentioning

confidence: 99%

The value of deep neural networks in the pathological classification of thyroid tumors

Deng,

Li,

Feng

et al. 2023

Diagn Pathol

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“…Total thyroidectomy is the best treatment modality for giant goiter [ 7 ]. It does not require any special conditions other than a sterile operating room, lights, and the availability of conventional soft tissue surgery instruments [ 2 , 5 ].…”

Section: Discussionmentioning

confidence: 99%

Management of a Long-Standing Huge Goiter During a Humanitarian Mission: A Case Report

Lame,

Atila,

Dembele

et al. 2023

Cureus

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Giant goiters are still encountered in low-income countries where diagnosis and management remain challenging. The authors report a case of an endemic giant goiter, treated during a humanitarian mission. A 50-year-old female with no particular history presented during a humanitarian mission with a giant nontoxic goiter evolving for 30 years. She underwent a total thyroidectomy removing a 3 kg thyroid gland. The postoperative period was uneventful. Giant goiters are not exceptional in goiter-endemic areas. Diagnostic and surgical management do not require particular technology. Surgery remains feasible even in countries with limited resources.

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Management of Giant Thyroid Tumors in Patients with Multiple Comorbidities in a Tertiary Head and Neck Surgery Center

Vrinceanu,

Dumitru,

Marinescu

et al. 2024

Biomedicines

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Background/Objectives: The thyroid gland can represent the seat of development for giant tumors exceeding 10 cm in diameter. A retrospective analysis on 21 cases of giant thyroid tumors with comorbidities, operated in the ENT Department of the Bucharest University Emergency Hospital has been conducted. Methods: Giant benign tumors accounted for 28.57% of the cases studied and reached gigantic volumes in an average time interval of 3 years, with an average resection piece weight of 318 g. Malignant tumors accounted for 71.43%, with an average duration of evolution of 7 years, with an average resection piece weight of 581 g. Results: Dysphagia was present in all patients, dyspnea in 47.61% and dysphonia in 38.09% of cases. Total thyroidectomy is the gold standard in giant thyroid tumors, associated with radical neck dissection, extended to groups VI and VII in malignant tumors. In 10 of 11 cases of giant malignant thyroid tumors (90.90%), without anaplastic thyroid carcinoma, the survival at 5 years after multimodal oncologic treatment was favorable. Anticoagulant treatment increased the risk of postoperative reversible recurrent laryngeal nerve lesion. Conclusions: The management of giant thyroid tumors in patients with multiple comorbidities needs a multidisciplinary team including endocrinologist, radiologist, anesthesiologist, pathologist, ENT surgeon, thoracic surgeon, oncologist and radiotherapist.

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Giant cervical goiter in Hashimoto’s thyroiditis: A case report

Cited by 3 publications

References 19 publications

The value of deep neural networks in the pathological classification of thyroid tumors

The value of deep neural networks in the pathological classification of thyroid tumors

Management of a Long-Standing Huge Goiter During a Humanitarian Mission: A Case Report

Management of Giant Thyroid Tumors in Patients with Multiple Comorbidities in a Tertiary Head and Neck Surgery Center

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