Segmentation-model-based framework to detect aortic dissection on non-contrast CT images: a retrospective study
False lumen volume was used as an indicator for AD. NCCT detects AD via this segmentation model. This framework enhances AD diagnosis in emergencies, reducing unnecessary contrast use.
Authors
- Weifeng Pan (ORCID: https://orcid.org/0000-0001-6355-1385)
- Yimin Huang (ORCID: https://orcid.org/0000-0002-7920-0341)
- Dongwei Guan
- Mingliang Ying
- Zhan Feng (ORCID: https://orcid.org/0000-0001-9496-4211)
- Wei Shui (ORCID: https://orcid.org/0000-0002-9198-4783)
- Wei Liu (ORCID: https://orcid.org/0000-0002-0038-6519)
- Lei Lv (ORCID: https://orcid.org/0009-0004-1303-0345)
- Shan Huang (ORCID: https://orcid.org/0000-0002-6002-769X)
- Qidong Wang (ORCID: https://orcid.org/0000-0002-9495-167X)
- Wenbo Xiao (ORCID: https://orcid.org/0000-0001-7124-1096)
- Zhiwen Yang (ORCID: https://orcid.org/0000-0002-5712-9695)
Institutions
- Jingdong (China) (CN)
- Jinhua Central Hospital (CN)
- First Affiliated Hospital Zhejiang University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2025-09-25
- DOI
- https://doi.org/10.1186/s13244-025-02098-z
- Citations
- 1
- Primary Topic
- Aortic Disease and Treatment Approaches
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- National Natural Science Foundation of China