This study demonstrates improved differentiation of benign and malignant pulmonary lesions using ZTE and ADC, indicating a potential advancement in diagnostic models.
Motivation: The unique advantages of ZTE for lung imaging remain underutilized in radiomics for pulmonary lesion differentiation. There is also a lack of studies integrating ZTE and ADC to distinguish between benign and malignant pulmonary lesions, presenting an opportunity to develop a more effective diagnostic model. Goal(s): Develop and validate a radiomics model integrating ZTE and ADC to enhance the differentiation of benign and malignant pulmonary lesions. Approach: 97 patients were enrolled. Radiomics features extracted from ZTE and ADC were analyzed. Results: Among all radiomics models, the combination of ZTE and ADC demonstrated the highest diagnostic performance (AUC = 0.90). Impact: By integrating ZTE and ADC in a radiomics model, the proposed approach has the potential to significantly improve the accuracy of pulmonary lesion differentiation
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Li et al. (2025) studied this question.
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