CT-BASED RADIOMICS MODELS FOR DIFFERENTIATION OF BENIGN AND MALIGNANT THYROID NODULES: A MULTICENTER DEVELOPMENT AND VALIDATION STUDY

A study aimed to develop and validate a CT-based radiomics model to differentiate benign and malignant thyroid nodules. It involved 378 patients with 408 resected nodules from two centers, divided into training, internal validation, and external validation sets. Various models were created using clinical, morphologic CT features, and radiomic features from non-contrast, arterial, and venous phase CTs. The combined model, which included patient age, three morphologic features, and 28 radiomic features, demonstrated the highest performance. In the external validation set, it achieved an AUC of 0.923, with a sensitivity of 84.0%, specificity of 94.1%, and accuracy of 87.0%. It outperformed other models significantly (all p < .05) and showed the best calibration and highest net benefit in decision-curve analysis. This combined model may aid in managing thyroid nodules detected on CT.

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Quiz Five

1 / 5

What is the benefit of CT-based radionics models?

Increased diagnostic cost

Reduced need for imaging

Improved accuracy in differentiation

Increased radiation exposure

2 / 5

Why is it a 'multicenter' study?

Uses multiple statistical models

Includes various nodule types

Conducted in several centers

Multiple imaging techniques

3 / 5

What is 'radiomics'?

Study of radiology practices

Use of radiotherapy

Extraction of features from medical images

Study of radiation effects

4 / 5

What is the study's main objective?

Study nodule prevalence

Develop and validate models for nodule differentiation

Analyze genetic markers

Compare imaging techniques

5 / 5

What imaging technique is discussed?

PET

CT

Ultrasound

MRI

Your score is

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