Foundations of a knee joint digital twin from qMRI biomarkers for osteoarthritis and knee replacement
Abstract This study forms the basis of a digital twin system of the knee joint, using advanced quantitative MRI (qMRI) and machine learning to advance precision health in osteoarthritis (OA) management and knee replacement (KR) prediction. We combined deep learning-based segmentation of knee joint s...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
|
| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01507-3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850190829096796160 |
|---|---|
| author | Gabrielle Hoyer Kenneth T. Gao Felix G. Gassert Johanna Luitjens Fei Jiang Sharmila Majumdar Valentina Pedoia |
| author_facet | Gabrielle Hoyer Kenneth T. Gao Felix G. Gassert Johanna Luitjens Fei Jiang Sharmila Majumdar Valentina Pedoia |
| author_sort | Gabrielle Hoyer |
| collection | DOAJ |
| description | Abstract This study forms the basis of a digital twin system of the knee joint, using advanced quantitative MRI (qMRI) and machine learning to advance precision health in osteoarthritis (OA) management and knee replacement (KR) prediction. We combined deep learning-based segmentation of knee joint structures with dimensionality reduction to create an embedded feature space of imaging biomarkers. Through cross-sectional cohort analysis and statistical modeling, we identified specific biomarkers, including variations in cartilage thickness and medial meniscus shape, that are significantly associated with OA incidence and KR outcomes. Integrating these findings into a comprehensive framework represents a considerable step toward personalized knee-joint digital twins, which could enhance therapeutic strategies and inform clinical decision-making in rheumatological care. This versatile and reliable infrastructure has the potential to be extended to broader clinical applications in precision health. |
| format | Article |
| id | doaj-art-ca18cb841f364d39a35e55da0502ab09 |
| institution | OA Journals |
| issn | 2398-6352 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj-art-ca18cb841f364d39a35e55da0502ab092025-08-20T02:15:08ZengNature Portfolionpj Digital Medicine2398-63522025-02-018111510.1038/s41746-025-01507-3Foundations of a knee joint digital twin from qMRI biomarkers for osteoarthritis and knee replacementGabrielle Hoyer0Kenneth T. Gao1Felix G. Gassert2Johanna Luitjens3Fei Jiang4Sharmila Majumdar5Valentina Pedoia6Department of Radiology and Biomedical Imaging, University of California San FranciscoDepartment of Radiology and Biomedical Imaging, University of California San FranciscoDepartment of Radiology and Biomedical Imaging, University of California San FranciscoDepartment of Radiology and Biomedical Imaging, University of California San FranciscoDepartment of Epidemiology and Biostatistics, University of California San FranciscoDepartment of Radiology and Biomedical Imaging, University of California San FranciscoDepartment of Radiology and Biomedical Imaging, University of California San FranciscoAbstract This study forms the basis of a digital twin system of the knee joint, using advanced quantitative MRI (qMRI) and machine learning to advance precision health in osteoarthritis (OA) management and knee replacement (KR) prediction. We combined deep learning-based segmentation of knee joint structures with dimensionality reduction to create an embedded feature space of imaging biomarkers. Through cross-sectional cohort analysis and statistical modeling, we identified specific biomarkers, including variations in cartilage thickness and medial meniscus shape, that are significantly associated with OA incidence and KR outcomes. Integrating these findings into a comprehensive framework represents a considerable step toward personalized knee-joint digital twins, which could enhance therapeutic strategies and inform clinical decision-making in rheumatological care. This versatile and reliable infrastructure has the potential to be extended to broader clinical applications in precision health.https://doi.org/10.1038/s41746-025-01507-3 |
| spellingShingle | Gabrielle Hoyer Kenneth T. Gao Felix G. Gassert Johanna Luitjens Fei Jiang Sharmila Majumdar Valentina Pedoia Foundations of a knee joint digital twin from qMRI biomarkers for osteoarthritis and knee replacement npj Digital Medicine |
| title | Foundations of a knee joint digital twin from qMRI biomarkers for osteoarthritis and knee replacement |
| title_full | Foundations of a knee joint digital twin from qMRI biomarkers for osteoarthritis and knee replacement |
| title_fullStr | Foundations of a knee joint digital twin from qMRI biomarkers for osteoarthritis and knee replacement |
| title_full_unstemmed | Foundations of a knee joint digital twin from qMRI biomarkers for osteoarthritis and knee replacement |
| title_short | Foundations of a knee joint digital twin from qMRI biomarkers for osteoarthritis and knee replacement |
| title_sort | foundations of a knee joint digital twin from qmri biomarkers for osteoarthritis and knee replacement |
| url | https://doi.org/10.1038/s41746-025-01507-3 |
| work_keys_str_mv | AT gabriellehoyer foundationsofakneejointdigitaltwinfromqmribiomarkersforosteoarthritisandkneereplacement AT kennethtgao foundationsofakneejointdigitaltwinfromqmribiomarkersforosteoarthritisandkneereplacement AT felixggassert foundationsofakneejointdigitaltwinfromqmribiomarkersforosteoarthritisandkneereplacement AT johannaluitjens foundationsofakneejointdigitaltwinfromqmribiomarkersforosteoarthritisandkneereplacement AT feijiang foundationsofakneejointdigitaltwinfromqmribiomarkersforosteoarthritisandkneereplacement AT sharmilamajumdar foundationsofakneejointdigitaltwinfromqmribiomarkersforosteoarthritisandkneereplacement AT valentinapedoia foundationsofakneejointdigitaltwinfromqmribiomarkersforosteoarthritisandkneereplacement |