Assessing the accuracy of CMRtools software for diagnosing liver iron overload in thalassemia patients: influencing factors and optimisation strategies
The accuracy of CMRtools software for diagnosing LIO in patients with thalassemia can be improved by artificially controlling the number of TE images to be fitted and selecting higher R<sup>2</sup> values.
Authors
- Fengming Xu (ORCID: https://orcid.org/0000-0003-3992-1352)
- Cheng Tang (ORCID: https://orcid.org/0000-0001-7196-4497)
- Linlin Liang (ORCID: https://orcid.org/0000-0003-1323-2460)
- Chaotian Luo
- Yanyan Zhang (ORCID: https://orcid.org/0000-0002-3201-3557)
- Peng Peng (ORCID: https://orcid.org/0009-0002-7993-8001)
- Fei Peng (ORCID: https://orcid.org/0000-0002-7931-3362)
- Chao-Hui Huang (ORCID: https://orcid.org/0000-0002-3837-8135)
- Xiaojing Ning
Institutions
- Guangxi Medical University (CN)
- First Affiliated Hospital of GuangXi Medical University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2024-09-20
- DOI
- https://doi.org/10.3389/fmed.2024.1424294
- Citations
- 5
- Primary Topic
- Hemoglobinopathies and Related Disorders
- Type
- article
- Field-Weighted Citation Impact
- 2.19
Funders
- Natural Science Foundation of Guangxi Zhuang Autonomous Region
- National Natural Science Foundation of China
- Guangxi Medical University