The Clinical Utility of Radiomics Models Based on Non-Contrast T1 Mapping in CMR for Discriminating Acute and Chronic Myocardial Infarction
Motivation: The complexity of differentiation between acute and chronic myocardial infarctions(MI) not only complicates the choice of treatment plans but also poses challenges for post-treatment follow-up. Goal(s): This study aimed to determine whether radiomics model based on T1 mapping can be applied in differential diagnosis of acute and chronic MI. Approach: Images of 61 patients were included for feature extraction, and the statistically significant features were selected to establish the radiomics model. Results: This radiomics model demonstrates significant efficacy in distinguishing between acute and chronic myocardial infarction lesions in patients, providing valuable support for clinical diagnosis and follow-up treatment. Impact: The development of radiomics model to differentiate acute from chronic myocardial infarction lesions holds promise for facilitating prompt clinical decision-making. This advancement enables early medical intervention for MI patients, reducing the risk of adverse cardiovascular events and enhancing patient prognosis.
Authors
- Yunzhu Wu (ORCID: https://orcid.org/0000-0002-4511-762X)
- Ruqian Hao (ORCID: https://orcid.org/0000-0001-8098-4369)
- Yueluan Jiang (ORCID: https://orcid.org/0009-0004-5680-8102)
- Zhiyuan Liu (ORCID: https://orcid.org/0000-0002-7709-2543)
- Yang Song (ORCID: https://orcid.org/0000-0002-6331-9516)
- Shinuo Li
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/10.58530/2024/3794
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00