| Literature DB >> 34395320 |
Hamdan Ahmed Pasha1, Ainulakbar Mughal2, Muhammad Wasif2, Rahim Dhanani2, Syed Arish Haider3, Sayed Akbar Abbas2.
Abstract
INTRODUCTION: The best initial investigation for thyroid nodule is fine needle aspiration (FNA). Bethesda System is an international standardized system of reporting thyroid nodules and recommends subsequent management. Every institution should assess the risk of malignancy in each category to avoid unnecessary thyroid surgeries, with this aim we conducted a review at our center to calculate risk of malignancy in each category.Entities:
Keywords: Bethesda; Fine needle aspiration; Malignancy risk; Thyroid nodule
Year: 2021 PMID: 34395320 PMCID: PMC8339890 DOI: 10.22038/ijorl.2021.50538.2687
Source DB: PubMed Journal: Iran J Otorhinolaryngol ISSN: 2251-7251
Risk of Malignancy (ROM) in each category of Bethesda system compared with other series
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| Non diagnostic (n=45) | 37.8% | 1 – 4% | 16.8% | 18.7% | 12% |
| Benign | 8.4% | 0 – 3% | 3.7% | 6.5% | 5% |
| Atypia of undetermined significance (n=81) | 33.3% | 5 – 15% | 15.9% | 28.3% | 17% |
| Follicular neoplasm (n=32) | 50.0% | 15 – 30% | 26.1% | 33.1% | 25% |
| Suspicion of Malignancy (n=46) | 89.1% | 60 – 75% | 75.5% | 65% | 72% |
| Malignant (n=16) | 100% | 97 – 99% | 98.6% | 98.6% | 98% |
1 Cibas ES, et al. Am J Clin Pathol 2009;132:658–65.
2 Bongiovanni M, et al. Acta Cytol 2012;56:333–9.
3 Sheffield BS, et al. Expert Rev Endocrinol Metab 2014;9:97–110.
4 Krauss EA, et al. Arch Pathol Lab Med 2016;140:1121–31.
Histopathological diagnosis as per different categories
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| Adenoma |
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| Papillary carcinoma |
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| Follicular carcinoma |
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| Medullary carcinoma |
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| Anaplastic carcinoma |
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| Lymphoma |
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| Thyroiditis |
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| Insular carcinoma |
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| Squamous cell carcinoma |
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| Lymphoepithelial cyst |
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| Tuberculosis |
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| Malignant peripheral nerve sheath tumor |
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| Low grade sclerosing mucoepidermoid carcinoma |
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| Hurthle cell carcinoma |
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| Sarcoma |
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Diagnostic Accuracy of FNA with or without Ultrasound guidance
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| Sensitivity | 81.63% | 80.00% | 81.30 (73.28 – 87.76%) |
| Specificity | 75.29% | 83.30% | 77.06 (72.12 – 81.51%) |
| Positive Predictive Value | 55.94% | 62.50% | 57.14 (51.79 – 62.33%) |
| Negative Predictive Value | 91.43% | 92.31% | 91.64 (88.30 – 94.10%) |
| Diagnostic Accuracy | 77.05% | 82.47% | 78.22 (74.12 – 81.95%) |