Evidence map›Paper›PMID 39385180›Full record

ArticleJournal of orthopaedic surgery and research2024

Simulation of osteotomy in total knee arthroplasty with femoral extra-articular deformity assisted by artificial intelligence: a study based on three-dimensional models.

Chen Meng, Sheng Yang, Yiling Zhang, Lili Yang, Hongxin Shi, Yongqing Xu, Chuan Li

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. [Early effectiveness of navigation-free robot-assisted total knee arthroplasty in treating knee osteoarthritis with extra-articular deformities].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025
    Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Chen Meng *Graduate School of Kunming Medical University, Kunming, 650504, Yunnan, China.
Sheng Yang *Department of Orthopaedic, 920th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, 212 Daguan Road, Xishan District, Kunming, 650032, Yunnan, China.
Yiling ZhangDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China.
Lili YangDepartment of Pathology and Pathophysiology, Faculty of Basic Medical Sciences, Kunming Medical University, Kunming, Yunnan, 650500, China.
Hongxin ShiDepartment of Orthopaedic, 920th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, 212 Daguan Road, Xishan District, Kunming, 650032, Yunnan, China.
Yongqing Xu *Department of Orthopaedic, 920th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, 212 Daguan Road, Xishan District, Kunming, 650032, Yunnan, China. xuyongqingkm@163.net.
Chuan Li *Department of Orthopaedic, 920th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, 212 Daguan Road, Xishan District, Kunming, 650032, Yunnan, China. lichuankaka@163.com.

Funding

Clinical Key Subject Construction Project of PLA; medical key subject of Joint Logistic Support Force of PLA Research on Injury Treatment and Accelerated Rehabilitation in Joint Operations in Tropical Mountains and Jungles War Office [2022]250Yunnan Orthopedics and Sports Rehabilitation Clinical Medicine Research Center No. 202102AA310068Yunnan Orthopedic Trauma Clinical Medical Center No. ZX20191001
6 · The paper itself

Abstract

backgroundThe impact of extra-articular deformities (EADs) on lower limb alignment and collateral ligament integrity during total knee arthroplasty (TKA) poses significant challenges, increasing surgical complexity. Our study aims to evaluate the influence of EADs on mechanical axis alignment and the risk of collateral ligament injury during TKA using an AI-assisted surgical planning system, with the goal of minimizing ligament damage through precise and scientific planning.

methodsA healthy volunteer underwent CT and MRI scans of the lower limbs. The scan images were imported into Mimics 20.0 software, and the reconstructed models were spatially aligned using 3-maticResearch 11.0 software. Using Unigraphics NX9.0 software, 50 three-dimensional models of femoral lateral joint deformities with varying positions and angles were created. Finally, TKA was simulated using the AI JOINT preoperative planning system.

resultsThe larger the deformity angle and the closer it is to the knee joint, the more pronounced the deviation of the mechanical axis. During MA-aligned osteotomy, nine types of deformities can damage the collateral ligaments. After adjusting the varus/valgus of the prosthesis within a safe range of 3° and leaving a residual 3° varus/valgus in the lower limb alignment, only the 25° varus and 25° valgus deformities located at 90% of the femoral anatomical axis remain uncorrected.

conclusionFor patients with osteoarthritis and concurrent EAD undergoing TKA, using reconstructed 3D models of the collateral ligaments for preoperative planning helps visually assess collateral ligament damage, providing a practical solution. Minimizing intra-articular osteotomies within a safe range and allowing some residual alignment deviation can reduce the risk of collateral ligament injury.

Indexed as

Arthroplasty, Replacement, KneeArtificial IntelligenceFemurImaging, Three-DimensionalOsteotomyHumansKnee JointMaleTomography, X-Ray ComputedArtificial intelligenceCollateral ligamentsExtra-articular deformityThree-dimensional modelsTotal knee arthroplasty

Identifiers

PMID39385180
PMCPMC11465894

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.