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Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis
Published on: February 9, 2024
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Histological, Cytological, and Radiological Correlation in Thyroid Lesions
Zainab Adil1, Rajni Choudhary1, Maneesh Sulya1
1Department of Pathology, Gandhi Medical College, Bhopal, IND.
Cureus
|January 5, 2026
Summary
Integrating fine-needle aspiration cytology (FNAC) with imaging like ultrasonography (USG) and histopathology improves thyroid nodule diagnosis. This combined approach enhances accuracy for benign and malignant thyroid lesions.
Area of Science:
- Endocrinology
- Pathology
- Radiology
Background:
- Thyroid disorders are common endocrine diseases requiring accurate preoperative diagnosis.
- Fine-needle aspiration cytology (FNAC), ultrasonography (USG), and histopathology are key diagnostic tools.
- Correlating these modalities improves diagnostic accuracy for thyroid lesions.
Purpose of the Study:
- To evaluate the correlation between cytological, histopathological, and radiological findings in thyroid lesions.
- To determine the diagnostic accuracy of FNAC and Thyroid Imaging Reporting and Data System (TIRADS) for differentiating benign and malignant thyroid nodules.
Main Methods:
- A cross-sectional study of 150 patients with thyroid swellings.
- Inclusion of clinical evaluation, thyroid function tests, USG (TIRADS classification), and FNAC.
- Histopathological examination of surgical specimens for correlation.
Main Results:
- Majority of patients were middle-aged females; most lesions were benign (colloid goiter most common).
- All TIRADS 5 lesions were malignant (P < 0.001).
- FNAC showed 96% adequacy, 62.5% sensitivity, 97.7% specificity, and 92.3% accuracy; strong cytoradiological and cytohistological concordance observed.
Conclusions:
- Integrating cytological, radiological, and histopathological evaluations enhances diagnostic precision for thyroid lesions.
- FNAC is a reliable first-line investigation; TIRADS effectively stratifies malignancy risk.
- Combined modalities facilitate accurate diagnosis, rational surgical intervention, and optimal patient management.
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