Leveraging Zero Echo Time (ZTE) MRI and ADC for Radiomics-Based Differentiation of Benign and Malignant Pulmonary Lesions

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

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2690
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Leveraging Zero Echo Time (ZTE) MRI and ADC for Radiomics-Based Differentiation of Benign and Malignant Pulmonary Lesions

Yi Xia, Xiaoqing Lin, Song Jiang, Fan Li et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Radiomics and Machine Learning in Medical Imaging
article

Leveraging Zero Echo Time (ZTE) MRI and ADC for Radiomics-Based Differentiation of Benign and Malignant Pulmonary Lesions

Yi Xia, Xiaoqing Lin, Song Jiang, Fan Li, Jie Li, Jie Shi, Meiling Xu
article en

Abstract

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

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 65%
Radiomics and Machine Learning in Medical Imaging
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Leveraging Zero Echo Time (ZTE) MRI and ADC for Radiomics-Based Differentiation of Benign and Malignant Pulmonary Lesions — Yi Xia, Xiaoqing Lin, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS