Radiomics based on MRI to predict recurrent L4-5 disc herniation after percutaneous endoscopic lumbar discectomy
Radiomics based on MRI can be used to predict the risk of rLDH, offering more comprehensive guidance for perioperative treatment by extracting imaging information that cannot be visualized with the naked eye. Meanwhile, the accuracy and generalizability of the model can be improved in the future by incorporating more data and conducting multicenter studies.
Authors
- Kai Zhu (ORCID: https://orcid.org/0000-0002-4728-3779)
- Xuexiao Ma (ORCID: https://orcid.org/0009-0008-1246-5581)
- Antao Lin (ORCID: https://orcid.org/0000-0003-3754-4397)
- Shuo Han (ORCID: https://orcid.org/0000-0001-9519-1740)
- Shengwei Meng (ORCID: https://orcid.org/0000-0002-3540-0747)
- Jialuo Han (ORCID: https://orcid.org/0000-0001-6126-0533)
- Yan Wang (ORCID: https://orcid.org/0000-0002-6460-9160)
- Hao Zhang (ORCID: https://orcid.org/0000-0003-1974-1311)
- Dan Zhou (ORCID: https://orcid.org/0000-0002-2306-3456)
- Chuanli Zhou (ORCID: https://orcid.org/0000-0003-4141-0834)
- Qian Cui (ORCID: https://orcid.org/0000-0001-7973-9649)
- Lei Li
Institutions
- Qingdao University (CN)
- Affiliated Hospital of Qingdao University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2024-10-10
- DOI
- https://doi.org/10.1186/s12880-024-01450-x
- Citations
- 6
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.43