CT coronary fractional flow reserve based on artificial intelligence using different software: a repeatability study
CT-FFR measurements vary among software from different manufacturers, leading to potential misclassification of qualitative diagnostics. Vessel shifting length, subjective image quality score, HRv, and lumen diameter impacted the measurement stability of various software.
Authors
- Aishi Liu
- Zhenting Sun
- Qiyu Jin (ORCID: https://orcid.org/0000-0001-8639-233X)
- Jing Li (ORCID: https://orcid.org/0000-0003-1191-9971)
- Lei Zhao (ORCID: https://orcid.org/0000-0002-2583-0081)
- Xing Wang (ORCID: https://orcid.org/0000-0003-3897-8875)
- Guoyu Zhang (ORCID: https://orcid.org/0000-0003-3977-5228)
- Zhenxing Yang
Institutions
- Inner Mongolia University (CN)
- Inner Mongolia Medical University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1186/s12880-024-01465-4
- Citations
- 4
- Primary Topic
- Cardiac Imaging and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 1.62
Funders
- Inner Mongolia Medical University