Abstract
Articular cartilage injury is a common cause of chronic disability in both humans and animals. Current treatment
strategies offer several possibilities and in order to select the optimal repair procedure, accurate determination of size and
severity of a lesion is important [1,2]. Recently, an equine ex vivo study showed that arthroscopic optical coherence tomography
(OCT) provides high resolution optical images of the cartilage layer [3]. Furthermore, in that study morphological characteristics
of cartilage including depth of lesions could be more accurately determined than with conventional arthroscopy. Although the
inter- and intra-investigator agreement by means of OCT is better than with conventional arthroscopy [43.9% versus 31.7% and
68.9% versus 56.7%, respectively] [4], reproducibility of OCT based articular cartilage grading needs improvement. Especially,
avoiding the subjectivity introduced by assessment by individual surgeons would be a great step forward. In this study we aim at
introducing a first version of software capable for automatic and reproducible ICRS-scoring of cartilage lesions.
strategies offer several possibilities and in order to select the optimal repair procedure, accurate determination of size and
severity of a lesion is important [1,2]. Recently, an equine ex vivo study showed that arthroscopic optical coherence tomography
(OCT) provides high resolution optical images of the cartilage layer [3]. Furthermore, in that study morphological characteristics
of cartilage including depth of lesions could be more accurately determined than with conventional arthroscopy. Although the
inter- and intra-investigator agreement by means of OCT is better than with conventional arthroscopy [43.9% versus 31.7% and
68.9% versus 56.7%, respectively] [4], reproducibility of OCT based articular cartilage grading needs improvement. Especially,
avoiding the subjectivity introduced by assessment by individual surgeons would be a great step forward. In this study we aim at
introducing a first version of software capable for automatic and reproducible ICRS-scoring of cartilage lesions.
| Original language | English |
|---|---|
| Title of host publication | Proceedings Orthopaedic Research Society |
| Place of Publication | New Orleans |
| Publisher | Orthopaedic Research Society |
| Pages | PS1-1129 |
| Number of pages | 1 |
| Publication status | Published - 2014 |
| Event | Congress Orthopaedic research society - New Orleans, United States Duration: 15 Mar 2014 → 18 Mar 2014 |
Conference
| Conference | Congress Orthopaedic research society |
|---|---|
| Country/Territory | United States |
| City | New Orleans |
| Period | 15/03/14 → 18/03/14 |