Detection and characterisation of bone destruction in murine rheumatoid arthritis using statistical shape models
- Submitting institution
-
The University of Birmingham
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 41880837
- Type
- D - Journal article
- DOI
-
10.1016/j.media.2017.05.006
- Title of journal
- Medical Image Analysis
- Article number
- -
- First page
- 30
- Volume
- 40
- Issue
- -
- ISSN
- 1361-8415
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
8
- Research group(s)
-
-
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Rheumatoid arthritis (RA) can arise through different pathological mechanisms whose understanding is essential for the development of bone protection therapies.
This work identifies the severity, abundance, and spatial pattern of bone malformations as differential biomarkers of pathology in murine models of RA. Anatomically-localised quantitative descriptors of bone shape deviations from normal are derived fully automatically from micro-CT data. They provide, for the first time, objective evidence for differences in bone deformations in three different types of rheumatoid arthritis.
The results were successfully validated against histology and biological findings.
The paper was published in the top international medical image analysis journal.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -