Which Osteochondritis Dissecans Lesions Will Heal Nonoperatively? An Application of Machine Learning to the ROCK Prospective Cohort

Lesion location in the posterior aspect of the condyle on sagittal MRI and lesion location in the medial-most or lateral-most locations on coronal MRI were identified as statistically significant predictors of increased nonoperative treatment success on multivariate analysis. Machine learning models can predict which OCD lesions will heal with nonoperative management with superior accuracy compared with previously published models.

Authors

Institutions

Publication Details

Journal
Orthopaedic Journal of Sports Medicine
Published
2024-12-01
DOI
https://doi.org/10.1177/23259671241297145
Citations
1
Primary Topic
Knee injuries and reconstruction techniques
Type
article
Field-Weighted Citation Impact
0.57

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Which Osteochondritis Dissecans Lesions Will Heal Nonoperatively? An Application of Machine Learning to the ROCK Prospective Cohort

Gregory D. Myer, T Johnstone, Peter D. Fabricant, Anthony C. Egger et al.
1 citations
Orthopaedic Journal of Sports Medicine
Knee injuries and reconstruction techniques
0.57
article

Which Osteochondritis Dissecans Lesions Will Heal Nonoperatively? An Application of Machine Learning to the ROCK Prospective Cohort

Gregory D. Myer, T Johnstone, Peter D. Fabricant, Anthony C. Egger, Eric W. Edmonds, Christian Noel Anderson, Bradley J. Nelson, Aaron John Krych, Marc Tompkins, Kevin G. Shea, Carl W. Nissen, Henry B. Ellis, Matthew David Milewski, Joseph Espiritu, Mininder Singh Kocher, N. M. Meenen, John D. Polousky, Jutta Ellemann
article en
1 citations

Abstract

Lesion location in the posterior aspect of the condyle on sagittal MRI and lesion location in the medial-most or lateral-most locations on coronal MRI were identified as statistically significant predictors of increased nonoperative treatment success on multivariate analysis. Machine learning models can predict which OCD lesions will heal with nonoperative management with superior accuracy compared with previously published models.

Orthopaedic Journal of Sports MedicineVol. 12(12)
Hospital for Special Surgery (US), Cincinnati Children's Hospital Medical Center (US), Boston Children's Hospital (US), University of Minnesota (US), Mayo Clinic (US), University of Connecticut (US), Universität Hamburg (DE), Texas Scottish Rite Hospital for Children (US), Rady Children's Hospital-San Diego (US), Tennessee Orthopaedic Alliance (US), Akron Children's Hospital (US), University Medical Center Hamburg-Eppendorf (DE), Andrews Institute for Orthopaedics & Sports Medicine (US), Penn Center for AIDS Research (US), University of Minnesota Medical Center (US), University of Pennsylvania Health System (US), Children's Healthcare of Atlanta (US), Stanford University (US)
University of Pennsylvania, American Orthopaedic Society for Sports Medicine
Good health and well-being
Openalex Percentile: Top 26%
Knee injuries and reconstruction techniques
0.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.