3D Patellar instability Anatomical Severity Score (3D-PASS): A Novel Machine Learning Score Using 3D Bone Position From MRI to Predict Outcomes of Patellar Instability Treatment (Using a Subset of Data in the JUPITER Cohort)

Marissa L. Sinopoli, Anthony A. Gatti, Christian E. Wright, Anna Bartsch, Matthew W. Veerkamp, Robert D. Boutin, Douglas N. Mintz, Kathleen H. Emery, Kevin G. Shea, Akshay S. Chaudhari, Unknown, Eric J. Wall, Stacey Elangovan, Daniel W. Green, Peter D. Fabricant, Sabrina M. Strickland, Beth E. Shubin Stein, Shital N. Parikh, Scott L. Delp, Seth L. Sherman

Open source

DOI
10.1177/23259671251362675
Published
2025-12
Container
Orthopaedic Journal of Sports Medicine
Publisher
SAGE Publications
Open access
unknown

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BibTeX

@article{allodium:10.1177/23259671251362675,
  title = {3D Patellar instability Anatomical Severity Score (3D-PASS): A Novel Machine Learning Score Using 3D Bone Position From MRI to Predict Outcomes of Patellar Instability Treatment (Using a Subset of Data in the JUPITER Cohort)},
  author = {Marissa L. Sinopoli and Anthony A. Gatti and Christian E. Wright and Anna Bartsch and Matthew W. Veerkamp and Robert D. Boutin and Douglas N. Mintz and Kathleen H. Emery and Kevin G. Shea and Akshay S. Chaudhari and Unknown and Eric J. Wall and Stacey Elangovan and Daniel W. Green and Peter D. Fabricant and Sabrina M. Strickland and Beth E. Shubin Stein and Shital N. Parikh and Scott L. Delp and Seth L. Sherman},
  year = {2025},
  journal = {Orthopaedic Journal of Sports Medicine},
  doi = {10.1177/23259671251362675},
  url = {https://doi.org/10.1177/23259671251362675}
}

RIS

TY  - JOUR
TI  - 3D Patellar instability Anatomical Severity Score (3D-PASS): A Novel Machine Learning Score Using 3D Bone Position From MRI to Predict Outcomes of Patellar Instability Treatment (Using a Subset of Data in the JUPITER Cohort)
AU  - Marissa L. Sinopoli
AU  - Anthony A. Gatti
AU  - Christian E. Wright
AU  - Anna Bartsch
AU  - Matthew W. Veerkamp
AU  - Robert D. Boutin
AU  - Douglas N. Mintz
AU  - Kathleen H. Emery
AU  - Kevin G. Shea
AU  - Akshay S. Chaudhari
AU  - Unknown
AU  - Eric J. Wall
AU  - Stacey Elangovan
AU  - Daniel W. Green
AU  - Peter D. Fabricant
AU  - Sabrina M. Strickland
AU  - Beth E. Shubin Stein
AU  - Shital N. Parikh
AU  - Scott L. Delp
AU  - Seth L. Sherman
PY  - 2025
JO  - Orthopaedic Journal of Sports Medicine
DO  - 10.1177/23259671251362675
UR  - https://doi.org/10.1177/23259671251362675
ER  - 

APA

Sinopoli, M. L., Gatti, A. A., Wright, C. E., Bartsch, A., Veerkamp, M. W., Boutin, R. D., Mintz, D. N., Emery, K. H., Shea, K. G., Chaudhari, A. S., Unknown, Wall, E. J., Elangovan, S., Green, D. W., Fabricant, P. D., Strickland, S. M., Stein, B. E. S., Parikh, S. N., Delp, S. L., & Sherman, S. L. (2025). 3D Patellar instability Anatomical Severity Score (3D-PASS): A Novel Machine Learning Score Using 3D Bone Position From MRI to Predict Outcomes of Patellar Instability Treatment (Using a Subset of Data in the JUPITER Cohort). Orthopaedic Journal of Sports Medicine. https://doi.org/10.1177/23259671251362675

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