Enhancing total knee replacement prediction: a longitudinal joint space radiomic model integrated with clinical symptoms

The model that combined joint space radiomic features with KOOS scores could be a useful tool in predicting TKR.

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Publication Details

Journal
International Journal of Surgery
Published
2025-12-09
DOI
https://doi.org/10.1097/js9.0000000000004427
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing total knee replacement prediction: a longitudinal joint space radiomic model integrated with clinical symptoms

Hao Liu, Tianyu Chen, Rong Hua, Guangfeng Ruan et al.
International Journal of Surgery
Radiomics and Machine Learning in Medical Imaging
article

Enhancing total knee replacement prediction: a longitudinal joint space radiomic model integrated with clinical symptoms

Hao Liu, Tianyu Chen, Rong Hua, Guangfeng Ruan, Changhai Ding, David J. Hunter, Alexander Tack, Peihua Cao, Qin Dang, Qianyi Wang, Shanhong Liu, Arafat Akbar, Qiushun Bai, Shengfa Li, Zhengrui Liu, Yang Wang, Li-Li Chen, Jia Li, Ting Wang, Yan Zhang, Mengdi Zhang, Wei Zhao, Xiaoshuai Wang, Ruyu Liao
article en

Abstract

The model that combined joint space radiomic features with KOOS scores could be a useful tool in predicting TKR.

International Journal of SurgeryVol. 112(3)
The University of Sydney (AU), University of Tasmania (AU), Zuse Institute Berlin (DE), Royal North Shore Hospital (AU), Third Affiliated Hospital of Southern Medical University (CN), Third People's Hospital of Chengdu (CN), Nanfang Hospital (CN), Guangzhou First People's Hospital (CN), Zhujiang Hospital (CN), Beijing Tsinghua Chang Gung Hospital (CN), Guangdong Provincial People's Hospital (CN), Southwest Jiaotong University (CN), Southern Medical University (CN), Chongqing Medical University (CN), South China University of Technology (CN), Guangzhou Medical University (CN), Tsinghua University (CN)
Openalex Percentile: Top 46%
Radiomics and Machine Learning in Medical Imaging
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