Evidence map›Paper›PMID 39569414›Full record

ArticleOrthopaedic journal of sports medicine2024

Association Between Tibiofemoral Bone Shape Features and Retears After Anterior Cruciate Ligament Reconstruction.

Karsyn N Bailey, Kenneth T Gao, Ryan T Halvorson, Jacob F Oeding, Sharmila Majumdar, Valentina Pedoia, Drew A Lansdown

Abstract read
In one paragraph

Article in Orthopaedic journal of sports medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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.

Karsyn N BaileyDepartment of Orthopaedic Surgery, Washington University in St Louis, St Louis, Missouri, USA.ORCID https://orcid.org/0000-0002-0581-2839
Kenneth T GaoUniversity of California, Berkeley-University of California, San Francisco Graduate Program in Bioengineering, San Francisco, California, USA.
Ryan T HalvorsonDepartment of Orthopaedic Surgery, University of California, San Francisco, San Francisco, California, USA.
Jacob F OedingMayo Clinic Alix School of Medicine, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0002-4562-4373
Sharmila MajumdarCenter for Intelligent Imaging, Department of Radiology, University of California, San Francisco, San Francisco, California, USA.
Valentina PedoiaCenter for Intelligent Imaging, Department of Radiology, University of California, San Francisco, San Francisco, California, USA.
Drew A LansdownDepartment of Orthopaedic Surgery, University of California, San Francisco, San Francisco, California, USA.

Funding

Skeletal Biology and Biomechanics (SBB) CoreP30AR075055 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EDWARD C HSIAO · 2019 to 2026
$7.1M
NIAMS NIH HHS P30 AR075055
6 · The paper itself

Abstract

Background: A retear after anterior cruciate ligament (ACL) reconstruction remains a common and devastating complication. Knee bone morphology is associated with the risk of ACL injuries, ACL retears, and osteoarthritis, and a combination of tools that derive bone shape from clinical imaging, such as magnetic resonance imaging (MRI) and statistical shape modeling, could identify patients at risk of developing these joint conditions. Purpose: To identify bone shape features before primary ACL reconstruction in patients with an eventual retear compared to those with a known intact ACL graft. Study Design: Case-control study; Level of evidence, 3. Methods: Bone was automatically segmented on 2-dimensional proton density-weighted MRI of the knee in patients at the time of the initial ACL injury using deep convolutional neural networks. Patients with a subsequent retear after reconstruction within 3 years (22 femurs, 19 tibias) were compared with those with an intact ACL graft at 3 years (20 femurs, 22 tibias) using statistical shape modeling to identify preoperative bone shape features predictive of a retear after ACL reconstruction. Results: Statistical shape modeling revealed 2 specific bone shape features (modes) in the femur and 1 mode in the tibia that demonstrated significant differences at the time of the initial injury in patients with subsequent retears. In the femur, a narrower intercondylar notch width, a widened medial condylar width, an increased femoral condylar offset ratio, increased surface area along the lateral femoral condyle relative to the medial condyle, and a more prominent trochlear sulcus at the time of the initial injury were associated with retears after ACL reconstruction. In the tibia, a diminished ACL facet prominence, a squared lateral and medial tibial plateaus, and a broader and flattened tibial spine at the time of the initial injury were associated with retears after ACL reconstruction. Conclusion: Using the automatic bone segmentation pipeline on preoperative MRI, the authors identified bone shape features associated with a retear after ACL reconstruction. The use of this pipeline enables large-scale studies of bone shape on MRI and could predict patients at risk of ACL retears to alter treatment decisions.

Indexed as

ACLinjury preventionkneemagnetic resonance imagingradiology

Identifiers

PMID39569414
PMCPMC11577471

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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.