Deep Learning-Based Prediction for Bone Cement Leakage During Percutaneous Kyphoplasty Using Preoperative Computed Tomography

Authors

Ning Fan (ORCID: https://orcid.org/0000-0003-0095-9476)
Lei Zang (ORCID: https://orcid.org/0000-0003-1403-4159)
Aobo Wang (ORCID: https://orcid.org/0000-0002-3271-1953)
Shuo Yuan (ORCID: https://orcid.org/0009-0002-0725-5244)
Ruiyuan Chen (ORCID: https://orcid.org/0000-0002-5891-8717)
Shuncheng Jiao
Tianyi Wang (ORCID: https://orcid.org/0000-0002-7923-3717)
Dong Liu (ORCID: https://orcid.org/0000-0001-9140-6038)
Xingyu Liu (ORCID: https://orcid.org/0000-0003-3190-251X)
Shujun J. Zhang (ORCID: https://orcid.org/0000-0001-6139-6887)
Peijun Du (ORCID: https://orcid.org/0000-0002-2488-2656)
Xi Yu (ORCID: https://orcid.org/0000-0001-5750-7003)
Tianlang Xie

Institutions

Capital Medical University (CN)
Beijing Shijingshan Hospital (CN)
Shunyi Hospital of Beijing Traditional Chinese Medicine Hospital (CN)
Valley Medical Center (US)
Tsinghua–Berkeley Shenzhen Institute (CN)
Tsinghua University (CN)

Publication Details

Journal: Spine
Published: 2025-07-14
DOI: https://doi.org/10.1097/brs.0000000000005448
Citations: 1
Primary Topic: Medical Imaging and Analysis
Type: article
Field-Weighted Citation Impact: 0.67

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article

Deep Learning-Based Prediction for Bone Cement Leakage During Percutaneous Kyphoplasty Using Preoperative Computed Tomography

Ning Fan, Lei Zang, Aobo Wang, Shuo Yuan et al.

Jul 14, 2025

1 citations

Spine

Medical Imaging and Analysis

0.67

article

Deep Learning-Based Prediction for Bone Cement Leakage During Percutaneous Kyphoplasty Using Preoperative Computed Tomography

Ning Fan, Lei Zang, Aobo Wang, Shuo Yuan, Ruiyuan Chen, Shuncheng Jiao, Tianyi Wang, Dong Liu, Xingyu Liu, Shujun J. Zhang, Peijun Du, Xi Yu, Tianlang Xie

July 14, 2025article en

1 citations

Abstract

No abstract available for this paper.

Spine

Capital Medical University (CN), Beijing Shijingshan Hospital (CN), Shunyi Hospital of Beijing Traditional Chinese Medicine Hospital (CN), Valley Medical Center (US), Tsinghua–Berkeley Shenzhen Institute (CN), Tsinghua University (CN)

Openalex Percentile: Top 29%

Medical Imaging and Analysis

0.67

DOI Source OpenAlex

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