Emerging quantitative MR imaging biomarkers in inflammatory arthritides
Creators
- 1. Department of Radiology, University College London Hospital, 235 Euston Rd, NW12BU, London (United Kingdom)
- 2. Amsterdam University Medical Centers, location AMC, Department of Pediatric Rheumatology, Meibergdreef 9, 1105 AZ, Amsterdam (Netherlands)
- 3. Amsterdam Movement Sciences Research Institute, Amsterdam University Medical Centers, Meibergdreef 9, 1105 AZ, Amsterdam (Netherlands)
- 4. Amsterdam University Medical Centers, location AMC, Department of Radiology and Nuclear Medicine, Meibergdreef 9, 1105 AZ, Amsterdam (Netherlands)
- 5. Centre for Medical Imaging, University College London, 2nd Floor Charles Bell House, 43-45 Foley Street, W1W 7TS, London (United Kingdom)
Description
Highlights: • qMRI techniques have potential for use as imaging biomarkers of musculoskeletal inflammation. • Targeted qMRI can help understand the pathophysiology of MSK inflammatory disease. • qMRI has the potential to support diagnosis, patient management and treatment decision making. • qMRI techniques can be more objective and reproducible than conventional quantitative imaging. • qMRI has the potential to support measurement automation and machine learning techniques. - Abstract: PurposeTo review quantitative magnetic resonance imaging (qMRI) methods for imaging inflammation in connective tissues and the skeleton in inflammatory arthritis. This review is designed for a broad audience including radiologists, imaging technologists, rheumatologists and other healthcare professionals.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.ejrad.2019.108707Additional details
Identifiers
- DOI
- 10.1016/j.ejrad.2019.108707;
- PII
- S0720048X19303572;
Publishing Information
- Journal Title
- European Journal of Radiology
- Journal Volume
- 121
- Journal Page Range
- p. 108707
- ISSN
- 0720-048X
- CODEN
- EJRADR
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 51013521
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- AUTOMATION; BIOLOGICAL MARKERS; CONNECTIVE TISSUE; DECISION MAKING; DESIGN; DIAGNOSIS; E-LEARNING; INFLAMMATION; MAGNETIC RESONANCE; NMR IMAGING; PATIENTS; RHEUMATIC DISEASES; SKELETON
- Descriptors DEC
- ANIMAL TISSUES; BODY; DIAGNOSTIC TECHNIQUES; DISEASES; EDUCATION; LEARNING; ORGANS; PATHOLOGICAL CHANGES; RESONANCE; SYMPTOMS; TRAINING
Optional Information
- Notes
- © 2019 Elsevier B.V. All rights reserved.