The maximum 2D diameter column of the notch as the most important bone risk indicator compared with the posterior tibial slopes for ACL injury based on computed tomography: Analysis using machine learning approach

Authors

Yunheng Yao (ORCID: https://orcid.org/0000-0002-7279-6306)
Sheng-Ze Wu (ORCID: https://orcid.org/0009-0003-4153-5562)
Jinshen He
Chi Liang (ORCID: https://orcid.org/0000-0001-7902-7844)
Jiewen Luo
Yangbo Cao (ORCID: https://orcid.org/0009-0008-5831-1385)
Ke Xiao (ORCID: https://orcid.org/0000-0003-1937-2536)
Damaris Topola Boko
Benjamin Rothrauff
Bosomtwe Kwabena Richmond

Institutions

Central South University (CN)
Third Xiangya Hospital (CN)
Carolina Musculoskeletal Institute (US)

Publication Details

Journal: Journal of Experimental Orthopaedics
Published: 2026-01-01
DOI: https://doi.org/10.1002/jeo2.70630
Primary Topic: Knee injuries and reconstruction techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

The maximum 2D diameter column of the notch as the most important bone risk indicator compared with the posterior tibial slopes for ACL injury based on computed tomography: Analysis using machine learning approach

Yunheng Yao, Sheng-Ze Wu, Jinshen He, Chi Liang et al.

Jan 1, 2026

Journal of Experimental Orthopaedics

Knee injuries and reconstruction techniques

article

The maximum 2D diameter column of the notch as the most important bone risk indicator compared with the posterior tibial slopes for ACL injury based on computed tomography: Analysis using machine learning approach

Yunheng Yao, Sheng-Ze Wu, Jinshen He, Chi Liang, Jiewen Luo, Yangbo Cao, Ke Xiao, Damaris Topola Boko, Benjamin Rothrauff, Bosomtwe Kwabena Richmond

January 1, 2026article en

Abstract

No abstract available for this paper.

Journal of Experimental OrthopaedicsVol. 13(1)

Central South University (CN), Third Xiangya Hospital (CN), Carolina Musculoskeletal Institute (US)

Quality Education

Openalex Percentile: Top 92%

Knee injuries and reconstruction techniques

DOI Open Access PDF OpenAlex

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