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Predictors of Malignancy in Thyroid Nodules
- Source :
- International Journal of Medical Arts, Vol 3, Iss 2, Pp 1369-1376 (2021)
- Publication Year :
- 2021
- Publisher :
- Egypts Presidential Specialized Council for Education and Scientific Research, 2021.
-
Abstract
- Background: Better and early prediction of malignant thyroid nodule, and sure differentiation from benign one, is crucial need to decrease the rate of non-indicated surgeries. The aim of the work: To find risk factors and predictors of malignancy in patients with thyroid nodule[s]. Patients and Methods:Fifty patients with thyroid nodule[s] were included. All patients were evaluated by history taking, clinical examination and laboratory investigations. Imaging studies included thyroid ultrasound [US]. All were also submitted to fine needle aspiration cytology [FNAC] before treatment by total or subtotal thyroidectomy. Excised tissues were sent to histopathological analysis. Results:The incidence of malignancy was 22.0%. both benign and malignant groups were comparable as patient characteristics, complaints except the significant increase in cosmetic disfigurement among patients with benign nodules [92.3% vs. 45.5%].Patients with malignant nodules had a significant increase of ill-defined margins, intranodular vascularity and enlarged lymph nodes [72.7%, 63.6% and 72.7% vs 5.1%, 12.8% and 25.6% respectively]. Ill-defined margins, enlarged lymph node and high grade in FNAC were the predictors of thyroid malignancy. Conclusion: Predictors of malignant thyroid nodules are ill- defined edges, enlarged lymph node and high grade in FNAC. This helps clinicians to spare more benign cases from surgical interference.
- Subjects :
- Thyroid nodules
Medicine (General)
medicine.medical_specialty
medicine.diagnostic_test
ultrasound
business.industry
Thyroid
predictor
Nodule (medicine)
Physical examination
medicine.disease
Malignancy
thyroid
R5-920
medicine.anatomical_structure
Vascularity
malignant
medicine
Medical history
Radiology
Lymph
benign
medicine.symptom
business
Subjects
Details
- ISSN :
- 26823780
- Volume :
- 3
- Database :
- OpenAIRE
- Journal :
- International Journal of Medical Arts
- Accession number :
- edsair.doi.dedup.....fe53cab8ea87bdd49875e836cc80c4bb
- Full Text :
- https://doi.org/10.21608/ijma.2021.43700.1178