Differentiation between benign and malignant solid thyroid nodules using an US classification system.

Area of Science:

• Radiology
• Endocrinology
• Oncology

Background:

• Solid thyroid nodules are common, requiring accurate differentiation between benign and malignant types.
• Ultrasound (US) is a primary imaging modality for thyroid nodule assessment.
• Existing US classification systems may have limitations in diagnostic accuracy.

Purpose of the Study:

• To evaluate the diagnostic accuracy of a novel 5-category ultrasound (US) classification system.
• To differentiate between benign and malignant solid thyroid nodules using real-time US.
• To compare US diagnoses with cytopathologic results for validation.

Main Methods:

• 191 patients with solid thyroid nodules underwent real-time US and US-guided fine-needle aspiration.
• Nodules were prospectively classified into 5 categories: malignant, suspicious, borderline, probably benign, and benign.
• Diagnostic accuracy metrics (sensitivity, specificity, etc.) were calculated by comparing US and cytopathology findings.

Main Results:

• The 5-category US classification system demonstrated very good diagnostic performance for solid thyroid nodules.
• When benign, probably benign, and borderline were grouped as benign, the system achieved 86% sensitivity and 95% specificity.
• Overall accuracy was 92%, with positive and negative predictive values of 91% and 92%, respectively.

Conclusions:

• The applied 5-category ultrasound classification system offers high diagnostic accuracy for solid thyroid nodules.
• This US classification system can reliably aid in distinguishing benign from malignant thyroid lesions.
• Real-time US assessment using this system improves diagnostic confidence in thyroid nodule evaluation.