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Semi-automated International Cartilage Repair Society scoring of equine articular cartilage lesions in optical coherence tomography images.
- Source :
- Equine Veterinary Journal; Jul2017, Vol. 49 Issue 4, p552-555, 7p
- Publication Year :
- 2017
-
Abstract
- Background Arthroscopic optical coherence tomography ( OCT) is a promising tool for the detailed evaluation of articular cartilage injuries. However, OCT-based articular cartilage scoring still relies on the operator's visual estimation. Objectives To test the hypothesis that semi-automated International Cartilage Repair Society ( ICRS) scoring of chondral lesions seen in OCT images could enhance intra- and interobserver agreement of scoring and its accuracy. Study design Validation study using equine cadaver tissue. Methods Osteochondral samples (n = 99) were prepared from 18 equine metacarpophalangeal joints and imaged using OCT. Custom-made software was developed for semi-automated ICRS scoring of cartilage lesions on OCT images. Scoring was performed visually and semi-automatically by five observers, and levels of inter- and intraobserver agreement were calculated. Subsequently, OCT-based scores were compared with ICRS scores based on light microscopy images of the histological sections of matching locations (n = 82). Results When semi-automated scoring of the OCT images was performed by multiple observers, mean levels of intraobserver and interobserver agreement were higher than those achieved with visual OCT scoring (83% vs. 77% and 74% vs. 33%, respectively). Histology-based scores from matching regions of interest agreed better with visual OCT-based scoring than with semi-automated OCT scoring; however, the accuracy of the software was improved by optimising the threshold combinations used to determine the ICRS score. Main limitations Images were obtained from cadavers. Conclusions Semi-automated scoring software improved the reproducibility of ICRS scoring of chondral lesions in OCT images and made scoring less observer-dependent. The image analysis and segmentation techniques adopted in this study warrant further optimisation to achieve better accuracy with semi-automated ICRS scoring. In addition, studies on in vivo applications are required. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 04251644
- Volume :
- 49
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Equine Veterinary Journal
- Publication Type :
- Academic Journal
- Accession number :
- 123521816
- Full Text :
- https://doi.org/10.1111/evj.12637