A radiomics and deep learning nomogram developed and validated for predicting no-collapse survival in patients with osteonecrosis after multiple drilling
Abstract Purpose Identifying patients who may benefit from multiple drilling are crucial. Hence, the purpose of the study is to utilize radiomics and deep learning for predicting no-collapse survival in patients with femoral head osteonecrosis. Methods Patients who underwent multiple drilling were e...
Saved in:
Main Authors: | Fan Liu, De-bao Zhang, Shi-huan Cheng, Gui-shan Gu |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2025-01-01
|
Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12911-025-02859-2 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Jack Surgery: Reconstructing Collapsed Femoral Head in Association Research Circulation Osseous Stage III Osteonecrosis: A Series of 13 Cases
by: Ying Zhong, et al.
Published: (2025-02-01) -
The “Hand-as-Foot” teaching method in staging femoral head osteonecrosis on 18F-FDG PET/CT
by: Xin-Ai Wu, et al.
Published: (2025-02-01) -
Location or size? A finite element analysis study of necrotic lesion impact on femoral head collapse
by: Shun Lu, et al.
Published: (2025-01-01) -
Advancements in 3D printing technologies for personalized treatment of osteonecrosis of the femoral head
by: Tingting Chen, et al.
Published: (2025-04-01) -
Injectable hydrogel regulates immune infiltration through physical and chemical synergy in the treatment of steroid-induced osteonecrosis of the femoral head
by: Zherui Fu, et al.
Published: (2025-04-01)