Predicting the onset of ischemic stroke with multi-parametric mapping based on multiple overlapping-echo detachment (MQMOLED) technique
Motivation: Multi-parametric quantitative magnetic resonance imaging can characterize tissue properties of ischemic stroke patients noninvasively, but it is generally time consuming and susceptible to motions. Goal(s): Investigate the value of single-shot multi-parametric mapping based on multiple overlapping-echo detachment (MQMOLED) method in distinguishing acute (≤7 days) and non-acute (>7 days) ischemic stroke patients. Approach: MQMOLED was applied on ischemic stroke patients (N = 94) to obtain their T2 and ADC maps, based on which histogram analysis was performed. Results: The combination of histogram parameters of T2 and ADC maps effectively discriminated between acute and non-acute ischemic stroke patients (AUC = 0.928). Impact: The MQMOLED approach shows improvement in predicting acute and non-acute stroke patients. Ultrafast and motion-robust MQMOLED can be included in routine clinical MRI protocols to help patient stratification management for a timely beneficial therapy.
Authors
- Ying Lin (ORCID: https://orcid.org/0009-0003-2625-8771)
- Shuhui Cai (ORCID: https://orcid.org/0000-0003-2767-9490)
- Congbo Cai (ORCID: https://orcid.org/0000-0002-0600-8594)
- Qizhi Yang (ORCID: https://orcid.org/0000-0003-2808-9273)
- Jianhui Zhong (ORCID: https://orcid.org/0000-0002-8887-8103)
- Jianfeng Bao (ORCID: https://orcid.org/0000-0002-8281-9401)
- Zhong Chen (ORCID: https://orcid.org/0000-0002-1473-2224)
- Ming Ye (ORCID: https://orcid.org/0000-0002-7080-0578)
- Zhigang Wu
- J Zeng (ORCID: https://orcid.org/0009-0002-5249-6311)
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/10.58530/2024/0080
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00