Journal article
Objective evaluation of chondrocyte density & cloning after joint injury using convolutional neural networks
Journal of orthopaedic research, Vol.40(11), pp.2609-2619
02/16/2022
DOI: 10.1002/jor.25295
PMCID: PMC9378771
PMID: 35171527
Appears in UI Libraries Support Open Access
Abstract
Variations in chondrocyte density and organization in cartilage histology sections are associated with osteoarthritis progression. Rapid, accurate quantification of these two features can facilitate the evaluation of cartilage health and advance the understanding of their significance. The goal of this work was to adapt deep-learning-based methods to detect articular chondrocytes and chondrocyte clones from safranin-O-stained cartilage to evaluate chondrocyte cellularity and organization. The U-net and "you-only-look-once" (YOLO) models were trained and validated for identifying chondrocytes and chondrocyte clones, respectively. Validated models were then used to quantify chondrocyte and done density in talar cartilage from Yucatan minipigs sacrificed 1 week, 3, 6, and 12 months after fixation of an intraarticular fracture of the hock joint. There was excellent/good agreement between expert researchers and the developed models in identifying chondrocytes/clones (U-net: R-2 = 0.93, y = 0.90x-0.69; median F1 score: 0.87/YOLO: R-2 = 0.79, y = 0.95x; median F1 score: 0.67). Average chondrocyte density increased 1 week after fracture (from 774 to 856 cells/mm(2)), decreased substantially 3 months after fracture (610 cells/mm(2)), and slowly increased 6 and 12 months after fracture (638 and 683 cells/mm(2) , respectively). Average detected clone density 3, 6, and 12 months after fracture (11, 11, 9 clones/mm(2)) was higher than the 4-5 clones/mm(2) detected in normal tissue or 1 week after fracture and show local increases in clone density that varied across the joint surface with time. The accurate evaluation of cartilage cellularity and organization provided by this deep learning approach will increase objectivity of cartilage injury and regeneration assessments.
Details
- Title: Subtitle
- Objective evaluation of chondrocyte density & cloning after joint injury using convolutional neural networks
- Creators
- Linjun Yang - University of IowaJames A. Martin - University of IowaMarc J. Brouillette - University of IowaJoseph A. Buckwalter - University of IowaJessica E. Goetz - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of orthopaedic research, Vol.40(11), pp.2609-2619
- DOI
- 10.1002/jor.25295
- PMID
- 35171527
- PMCID
- PMC9378771
- NLM abbreviation
- J Orthop Res
- ISSN
- 0736-0266
- eISSN
- 1554-527X
- Publisher
- Wiley
- Number of pages
- 11
- Grant note
- P50 AR055533 / National Institute of Arthritis and Musculoskeletal and Skin Diseases; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Arthritis & Musculoskeletal & Skin Diseases (NIAMS) R49 CCR721745 / Centers for Disease Control and Prevention; United States Department of Health & Human Services; Centers for Disease Control & Prevention - USA W81XWH-10-1-0864; W81XWH-11-1-0583; W81XWH-15-1-0642 / U.S. Department of Defense; United States Department of Defense
- Language
- English
- Date published
- 02/16/2022
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Pharmaceutical Sciences and Experimental Therapeutics; Orthopedics and Rehabilitation; Injury Prevention Research Center
- Record Identifier
- 9984304711202771
Metrics
13 Record Views