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dc.contributor.authorHuétink, K
dc.contributor.authorvan 't Klooster, R
dc.contributor.authorKaptein, BL
dc.contributor.authorWatt, I
dc.contributor.authorKloppenburg, M
dc.contributor.authorNelissen, RG
dc.contributor.authorReiber, JH
dc.contributor.authorStoel, BC
dc.date.accessioned2016-07-20T13:21:35Z
dc.date.issued2011-02-11
dc.description.abstractOBJECTIVE: To validate a newly developed quantification method that automatically detects and quantifies the joint space width (JSW) in hand radiographs. Repeatability, accuracy and sensitivity to changes in JSW were determined. The influence of joint location and joint shape on the measurements was tested. METHODS: A mechanical micrometer set-up was developed to define and adjust the true JSW in an acrylic phantom joint and in human cadaver-derived phalangeal joints. Radiographic measurements of the JSW were compared to the true JSW. Repeatability, systematic error (accuracy) and sensitivity (defined as the smallest detectable difference (SDD)) were determined. The influence of joint position on the JSW measurement was assessed by varying the location of the acrylic phantom on the X-ray detector with respect to the X-ray beam and the influence of joint shape was determined by using morphologically different human cadaver joints. RESULTS: The mean systematic error was 0.052 mm in the phantom joint and 0.210 mm in the cadaver experiment. In the phantom experiments, the repeatability was high (SDD = 0.028 mm), but differed slightly between joint locations (p = 0.046), and a change in JSW of 0.037 mm could be detected. Dependent of the joint shape in the cadaver hand, a change in JSW between 0.018 and 0.047 mm could be detected. CONCLUSIONS: The automatic quantification method is sensitive to small changes in JSW. Considering the published data of JSW decline in the normal and osteoarthritic population, the first signs of OA progression with this method can be detected within 1 or 2 years.en_GB
dc.description.sponsorshipThis work was funded by the Dutch Arthritis Association (Reumafonds). The study sponsor had no involvement in study design, data collection, data analysis, or interpretation of the results.en_GB
dc.identifier.citationVol. 41 (1), pp. 41 - 49en_GB
dc.identifier.doi10.1007/s00256-011-1110-x
dc.identifier.urihttp://hdl.handle.net/10871/22657
dc.language.isoenen_GB
dc.publisherSpringer Verlag for International Skeletal Societyen_GB
dc.relation.urlhttp://www.ncbi.nlm.nih.gov/pubmed/21311883en_GB
dc.rightsOpen access. This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.en_GB
dc.subjectAlgorithmsen_GB
dc.subjectCadaveren_GB
dc.subjectHanden_GB
dc.subjectHumansen_GB
dc.subjectOsteoarthritisen_GB
dc.subjectPattern Recognition, Automateden_GB
dc.subjectPhantoms, Imagingen_GB
dc.subjectRadiographic Image Enhancementen_GB
dc.subjectRadiographic Image Interpretation, Computer-Assisteden_GB
dc.subjectReproducibility of Resultsen_GB
dc.subjectSensitivity and Specificityen_GB
dc.titleAutomatic radiographic quantification of hand osteoarthritis; accuracy and sensitivity to change in joint space width in a phantom and cadaver studyen_GB
dc.typeArticleen_GB
dc.date.available2016-07-20T13:21:35Z
exeter.place-of-publicationGermanyen_GB
dc.descriptionThis is the final version of the article. Available from Springer Verlag via the DOI in this record.en_GB
dc.identifier.journalSkeletal Radiologyen_GB


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