IVIM Combined with DCE-MRI Characterize Architectural Distortion Detected on Mammography: A Pilot Study
Motivation: Breast adenosis (AD) detection is crucial for early breast cancer diagnosis. Traditional mammography has limitations. Goal(s): To enhance AD diagnosis using MRI and evaluate MRI's diagnostic value for AD detected in mammography. Assess the combined potential of dynamic contrast-enhanced MRI (DCE-MRI) and intravoxel incoherent motion (IVIM) sequences. Approach: Collected data from AD-diagnosed patients who underwent breast MRI. Analyzed DCE-MRI and IVIM parameters, compared benign and malignant AD, and assessed their combined diagnostic efficiency. Results: MRI exhibited high sensitivity (100%) and NPV (100%) for malignancy exclusion. DCE-MRI and IVIM combined yielded superior results with an AUC of 0.984. Impact: This study demonstrates that combining DCE-MRI and IVIM significantly enhances the diagnostic accuracy of AD changes. It offers a non-invasive approach to differentiate benign from malignant lesions, reducing unnecessary invasive procedures and improving breast cancer management.
Authors
- Haonan Guan (ORCID: https://orcid.org/0000-0001-8924-8624)
- anliang chen
- Jie Yang (ORCID: https://orcid.org/0000-0002-9152-308X)
- Qingwei Song (ORCID: https://orcid.org/0000-0002-7035-7211)
- Deshuo Dong
- Ailian Liu (ORCID: https://orcid.org/0000-0002-7288-8227)
- Linjun Xie (ORCID: https://orcid.org/0000-0002-4312-3276)
- lina zhang
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
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/2887
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00