{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T09:31:13Z","timestamp":1760866273122,"version":"3.37.3"},"reference-count":142,"publisher":"Georg Thieme Verlag KG","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Semin Musculoskelet Radiol"],"published-print":{"date-parts":[[2020,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Radiologic imaging is crucial for diagnosing and monitoring rheumatic inflammatory diseases. Particularly the emerging approach of precision medicine has increased the interest in quantitative imaging. Extensive research has shown that ultrasound allows a quantification of direct signs such as bone erosions and synovial thickness. Dual-energy X-ray absorptiometry and high-resolution peripheral quantitative computed tomography (CT) contribute to the quantitative assessment of secondary signs such as osteoporosis or lean mass loss. Magnetic resonance imaging (MRI), using different techniques and sequences, permits in-depth evaluations. For instance, the perfusion of the inflamed synovium can be quantified by dynamic contrast-enhanced imaging or diffusion-weighted imaging, and cartilage injury can be assessed by mapping (T1\u03c1, T2). Furthermore, the increased metabolic activity characterizing the inflammatory response can be reliably assessed by hybrid imaging (positron emission tomography [PET]\/CT, PET\/MRI). Finally, advances in intelligent systems are pushing forward quantitative imaging. Complex mathematical algorithms of lesions' segmentation and advanced pattern recognition are showing promising results.<\/jats:p>","DOI":"10.1055\/s-0040-1708823","type":"journal-article","created":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T22:50:35Z","timestamp":1601419835000},"page":"337-354","source":"Crossref","is-referenced-by-count":5,"title":["Quantitative Imaging in Inflammatory Arthritis: Between Tradition and Innovation"],"prefix":"10.1055","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0924-5883","authenticated-orcid":false,"given":"Chiara","family":"Giraudo","sequence":"additional","affiliation":[{"name":"Department of Medicine, DIMED, Radiology Institute, University of Padova, Padova, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Franz","family":"Kainberger","sequence":"additional","affiliation":[{"name":"Division of Neuro- and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mikael","family":"Boesen","sequence":"additional","affiliation":[{"name":"Department of Radiology, Copenhagen University Hospital Bispebjerg-Frederiksberg, Frederiksberg, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siegfried","family":"Trattnig","sequence":"additional","affiliation":[{"name":"Department of Biomedical Imaging and Image-Guided Therapy, High-Field MR Centre, Medical University of Vienna, Vienna, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"194","published-online":{"date-parts":[[2020,9,29]]},"reference":[{"volume-title":"Bone and Joint Imaging, 3rd ed","year":"2004","author":"D Resnick","key":"ref1"},{"issue":"07","key":"ref2","doi-asserted-by":"crossref","first-page":"1316","DOI":"10.1136\/annrheumdis-2013-204627","article-title":"The global burden of rheumatoid arthritis: estimates from the global burden of 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