Automatic image analysis for decision support in rheumatoid arthritis and osteoporosis
Low-energy trauma and fragility fractures represent a major public health problem. The societal cost of the fragility fractures that occurred in Sweden 2010 has been estimated at €4 billion. In rheumatoid arthritis (RA), patient outcomes have improved greatly in recent years. However, the therapeuti...
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2015
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ndltd-UPSALLA1-oai-DiVA.org-liu-1136802015-03-27T05:15:22ZAutomatic image analysis for decision support in rheumatoid arthritis and osteoporosisengKälvesten, JohanLinköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIVLinköpings universitet, Tekniska högskolanLinköping2015Osteoporosisrheumatoid arthritisdigital X-ray radiogrammetryjoint space widthbone densitometryLow-energy trauma and fragility fractures represent a major public health problem. The societal cost of the fragility fractures that occurred in Sweden 2010 has been estimated at €4 billion. In rheumatoid arthritis (RA), patient outcomes have improved greatly in recent years. However, the therapeutic decision making is still hampered by a lack of effective validated biomarkers. The cost of RA in Sweden 2010 has been estimated at €600 million, of which biologic drugs was €180 million. Digital X-ray radiogrammetry (DXR) is a method to measure bone mineral density (BMD) in the metacarpals of the hand. It can be applied opportunistically in several workflows where a person is already at an X-ray machine, including fracture repositioning follow up, mammography screening and hand imaging in RA. This thesis explored DXR-BMD as a marker to identify individuals who would benefit from anti-osteoporotic treatment, change rate of DXR-BMD as a biomarker in RA and under what conditions historical X-ray images can be used to estimate DXR-BMD. An automated method for measurement of joint space width in metacarpophalangeal and interphalangeal joints was also developed and evaluated as a biomarker in RA. Low DXR-BMD was predictive for hip fractures and predicted fragility fractures to a comparable degree as other BMD measurement sites. Rapid decrease of DXR-BMD was a strong and independent predictor for progression of radiographic damage in RA when manual radiographic progression scores were not available. Change of metacarpal joint space width was a statistically significant but weak predictor of joint space narrowing score progression. Guidelines and considerations for use of historical X-ray radiographs for DXR-BMD measurements in clinical trials have been developed and published. Doctoral thesis, comprehensive summaryinfo:eu-repo/semantics/doctoralThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113680urn:isbn:978-91-7519-170-6 (print)doi:10.3384/diss.diva-113680Linköping University Medical Dissertations, 0345-0082 ; 1433application/pdfinfo:eu-repo/semantics/openAccess |
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language |
English |
format |
Doctoral Thesis |
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Osteoporosis rheumatoid arthritis digital X-ray radiogrammetry joint space width bone densitometry |
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Osteoporosis rheumatoid arthritis digital X-ray radiogrammetry joint space width bone densitometry Kälvesten, Johan Automatic image analysis for decision support in rheumatoid arthritis and osteoporosis |
description |
Low-energy trauma and fragility fractures represent a major public health problem. The societal cost of the fragility fractures that occurred in Sweden 2010 has been estimated at €4 billion. In rheumatoid arthritis (RA), patient outcomes have improved greatly in recent years. However, the therapeutic decision making is still hampered by a lack of effective validated biomarkers. The cost of RA in Sweden 2010 has been estimated at €600 million, of which biologic drugs was €180 million. Digital X-ray radiogrammetry (DXR) is a method to measure bone mineral density (BMD) in the metacarpals of the hand. It can be applied opportunistically in several workflows where a person is already at an X-ray machine, including fracture repositioning follow up, mammography screening and hand imaging in RA. This thesis explored DXR-BMD as a marker to identify individuals who would benefit from anti-osteoporotic treatment, change rate of DXR-BMD as a biomarker in RA and under what conditions historical X-ray images can be used to estimate DXR-BMD. An automated method for measurement of joint space width in metacarpophalangeal and interphalangeal joints was also developed and evaluated as a biomarker in RA. Low DXR-BMD was predictive for hip fractures and predicted fragility fractures to a comparable degree as other BMD measurement sites. Rapid decrease of DXR-BMD was a strong and independent predictor for progression of radiographic damage in RA when manual radiographic progression scores were not available. Change of metacarpal joint space width was a statistically significant but weak predictor of joint space narrowing score progression. Guidelines and considerations for use of historical X-ray radiographs for DXR-BMD measurements in clinical trials have been developed and published. |
author |
Kälvesten, Johan |
author_facet |
Kälvesten, Johan |
author_sort |
Kälvesten, Johan |
title |
Automatic image analysis for decision support in rheumatoid arthritis and osteoporosis |
title_short |
Automatic image analysis for decision support in rheumatoid arthritis and osteoporosis |
title_full |
Automatic image analysis for decision support in rheumatoid arthritis and osteoporosis |
title_fullStr |
Automatic image analysis for decision support in rheumatoid arthritis and osteoporosis |
title_full_unstemmed |
Automatic image analysis for decision support in rheumatoid arthritis and osteoporosis |
title_sort |
automatic image analysis for decision support in rheumatoid arthritis and osteoporosis |
publisher |
Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV |
publishDate |
2015 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113680 http://nbn-resolving.de/urn:isbn:978-91-7519-170-6 (print) |
work_keys_str_mv |
AT kalvestenjohan automaticimageanalysisfordecisionsupportinrheumatoidarthritisandosteoporosis |
_version_ |
1716798018247720960 |