Establishment and Reliability of an Automatic Measurement Method of Pectus Excavatum Indices Using a Deep Learning Model
U-Net-based automation provides reliable measurement of PE severity indices, demonstrating the potential to reduce observer-dependent variability and enhance clinical workflow efficiency. Multi-center validation is warranted to support broader radiologic applications.
Authors
- Jiayi Lin
- Shanshan Hu (ORCID: https://orcid.org/0000-0001-7383-2922)
- Keck Voon Ling (ORCID: https://orcid.org/0000-0002-9293-9394)
- Xicheng Deng (ORCID: https://orcid.org/0000-0002-2935-5724)
- Frank-Martin Haecker (ORCID: https://orcid.org/0000-0001-8426-5011)
- Chenhan Wang (ORCID: https://orcid.org/0009-0001-1520-3658)
- Siping He (ORCID: https://orcid.org/0000-0002-4819-8437)
- Songxian Xie
- S. Q. Qu (ORCID: https://orcid.org/0009-0007-3606-3432)
Institutions
- Shandong Xiehe University (CN)
- Hunan Children's Hospital (CN)
- Ostschweizer Kinderspital (CH)
Publication Details
- Journal
- Cureus
- Published
- 2025-05-28
- DOI
- https://doi.org/10.7759/cureus.84976
- Primary Topic
- Pectus Deformity Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00