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...

Full description

Bibliographic Details
Main Author: Kälvesten, Johan
Format: Doctoral Thesis
Language:English
Published: Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV 2015
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113680
http://nbn-resolving.de/urn:isbn:978-91-7519-170-6 (print)
id ndltd-UPSALLA1-oai-DiVA.org-liu-113680
record_format oai_dc
spelling 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
collection NDLTD
language English
format Doctoral Thesis
sources NDLTD
topic Osteoporosis
rheumatoid arthritis
digital X-ray radiogrammetry
joint space width
bone densitometry
spellingShingle 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