Bio-tribological behavior of articular cartilage based on biological morphology
Journal of Materials Science: Materials in Medicine, 2021 Artificial hemiarthroplasty is one of the effective methods for the treatment of hip joint diseases, but the wear failure of the interface between the hemi hip joint material and articular cartilage restricts the life of the prosthesis.
Xinyue Zhang +3 more
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MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities [PDF]
arXiv, 2023 Multiple imaging modalities are often used for disease diagnosis, prediction, or population-based analyses. However, not all modalities might be available due to cost, different study designs, or changes in imaging technology. If the differences between the types of imaging are small, data harmonization approaches can be used; for larger changes ...
arxiv
Frontiers in Bioengineering and BiotechnologyFocal cartilage defects are common in youth and older adults, cause significant morbidity and constitute a major risk factor for developing osteoarthritis (OA).
T. Mark Campbell +5 more
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Targeting of chondrocyte plasticity via connexin43 modulation attenuates cellular senescence and fosters a pro-regenerative environment in osteoarthritis [PDF]
Osteoarthritis (OA), a chronic disease characterized by articular cartilage degeneration, is a leading cause of disability and pain worldwide. In OA, chondrocytes in cartilage undergo phenotypic changes and senescence, restricting cartilage regeneration and favouring disease progression.
arxiv +1 more source
Advanced ScienceEfferocytosis, an intrinsic regulatory mechanism to eliminate apoptotic cells, will be suppressed due to the delayed apoptosis process in aging‐related diseases, such as osteoarthritis (OA). In this study, cartilage lesion‐localized hydrogel microspheres
Wei Xiong +6 more
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Biology Open, 2013 Summary Pseudoachondroplasia and multiple epiphyseal dysplasia are genetic skeletal diseases resulting from mutations in cartilage structural proteins.
Peter A. Bell +9 more
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Segmentation and Generation of Magnetic Resonance Images by Deep Neural Networks [PDF]
arXiv, 2020 Magnetic Resonance Images (MRIs) are extremely used in the medical field to detect and better understand diseases. In order to fasten automatic processing of scans and enhance medical research, this project focuses on automatically segmenting targeted parts of MRIs and generating new MRI datasets from random noise.
arxiv
Time-of-flight secondary ion mass spectrometry-based molecular distribution distinguishing healthy and osteoarthritic human cartilage [PDF]
, 2013 Osteoarthritis (OA) is a pathology that ultimately causes joint destruction. The cartilage is one of the principal affected tissues. Alterations in the lipid mediators and an imbalance in the metabolism of cells that form the cartilage (chondrocytes) have been described as contributors to the OA development.
arxiv +1 more source
Remission of collagen-induced arthritis through combination therapy of microfracture and transplantation of thermogel-encapsulated bone marrow mesenchymal stem cells. [PDF]
PLoS ONE, 2015 The persistent inflammation of rheumatoid arthritis (RA) always leads to partial synovial hyperplasia and the destruction of articular cartilage. Bone marrow mesenchymal stem cells (BMMSCs) have been proven to possess immunosuppressive effects, and ...
He Liu +7 more
doaj +1 more source
Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images [PDF]
, 2013 The automatic segmentation of human knee cartilage from 3D MR images is a useful yet challenging task due to the thin sheet structure of the cartilage with diffuse boundaries and inhomogeneous intensities. In this paper, we present an iterative multi-class learning method to segment the femoral, tibial and patellar cartilage simultaneously, which ...
arxiv +1 more source