DOI 10.4274/balkanmedj.galenos.2025.2025-7-125
Enhancing Diagnostic Accuracy in Bethesda III Thyroid Nodules: The Predictive Value of Serum IL-17A and Calprotectin.
Аннотация
BACKGROUND
Thyroid nodules are common in clinical practice, with malignancy detected in about 5% of cases. Current risk-stratification approaches, which rely on sonographic features and cytopathological assessment, have notable limitations, especially for indeterminate nodules categorized as Bethesda III.
AIMS: To address these diagnostic challenges, this study evaluated the utility of preoperative serum interleukin (IL)-17A and calprotectin levels as potential biomarkers for distinguishing malignant from benign Bethesda III thyroid nodules.
STUDY
DESIGN
This single-center prospective methodological study.
METHODS
In this prospective study, 76 patients with Bethesda III nodules scheduled for thyroidectomy were enrolled. Based on histopathological findings, nodules were classified as benign (n = 41) or malignant (n = 35). Comprehensive patient information was collected, including demographics, medical history, and detailed clinical parameters related to nodule characteristics and laboratory results. Circulating biomarkers measured included thyroid-stimulating hormone, free T3, free T4, thyroglobulin (TG), anti-TG, anti-thyroid peroxidase, calcitonin, IL-17A, and calprotectin.
RESULTS
Patients with malignant nodules (n = 35) exhibited significantly higher preoperative IL-17A and calprotectin levels compared with those with benign nodules (n = 41) (p < 0.001 and p = 0.038, respectively). Receiver operating characteristic analysis demonstrated promising diagnostic performance for IL-17A [area under the curve (AUC) = 0.733] and calprotectin (AUC = 0.639).
CONCLUSION
IL-17A and calprotectin emerge as promising biomarkers for refining Bethesda III nodule stratification. Incorporating these inflammatory markers into existing diagnostic protocols may substantially reduce unnecessary surgical interventions, thereby alleviating patient anxiety, surgical risks, and healthcare costs.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
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