CT-based radiomics and intratumoral heterogeneity for predicting benign and malignant lesions in solid pulmonary nodules

Key Points

Diagnostic accuracy is enhanced through multi-combination models, particularly a triple-feature model.
The study shows that these models can help distinguish between benign and malignant lesions effectively.
Analysis focuses on the intratumoral heterogeneity of solid pulmonary nodules to improve predictions.
Avoiding unnecessary invasive procedures may significantly benefit patient care and management strategies.

Abstract

The multi-combination models developed in this study enhance the diagnostic accuracy for distinguishing benign from malignant solid pulmonary nodules, with the triple-feature model demonstrating the highest diagnostic performance. This approach has the potential to spare patients from unnecessary invasive procedures and strengthen clinical decision-making in the management of pulmonary nodules.

CT-based radiomics and intratumoral heterogeneity for predicting benign and malignant lesions in solid pulmonary nodules

Key Points

Abstract

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