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Lin TM, Lee HY, Chang CK, Lin KH, Chang CC, Wu BF, Peng SJ. Identification of tophi in ultrasound imaging based on transfer learning and clinical practice. Sci Rep 2023; 13:12507. [PMID: 37532752 PMCID: PMC10397312 DOI: 10.1038/s41598-023-39508-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 07/26/2023] [Indexed: 08/04/2023] Open
Abstract
Gout is a common metabolic disorder characterized by deposits of monosodium urate monohydrate crystals (tophi) in soft tissue, triggering intense and acute arthritis with intolerable pain as well as articular and periarticular inflammation. Tophi can also promote chronic inflammatory and erosive arthritis. 2015 ACR/EULAR Gout Classification criteria include clinical, laboratory, and imaging findings, where cases of gout are indicated by a threshold score of ≥ 8. Some imaging-related findings, such as a double contour sign in ultrasound, urate in dual-energy computed tomography, or radiographic gout-related erosion, generate a score of up to 4. Clearly, the diagnosis of gout is largely assisted by imaging findings; however, dual-energy computed tomography is expensive and exposes the patient to high levels of radiation. Although musculoskeletal ultrasound is non-invasive and inexpensive, the reliability of the results depends on expert experience. In the current study, we applied transfer learning to train a convolutional neural network for the identification of tophi in ultrasound images. The accuracy of predictions varied with the convolutional neural network model, as follows: InceptionV3 (0.871 ± 0.020), ResNet101 (0.913 ± 0.015), and VGG19 (0.918 ± 0.020). The sensitivity was as follows: InceptionV3 (0.507 ± 0.060), ResNet101 (0.680 ± 0.056), and VGG19 (0.747 ± 0.056). The precision was as follows: InceptionV3 (0.767 ± 0.091), ResNet101 (0.863 ± 0.098), and VGG19 (0.825 ± 0.062). Our results demonstrate that it is possible to retrain deep convolutional neural networks to identify the patterns of tophi in ultrasound images with a high degree of accuracy.
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Affiliation(s)
- Tzu-Min Lin
- Division of Allergy, Immunology and Rheumatology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Division of Rheumatology, Immunology and Allergy, Department of Internal Medicine, Taipei Medical University Hospital, Taipei, Taiwan
| | - Hsiang-Yen Lee
- Division of Rheumatology, Immunology and Allergy, Department of Internal Medicine, Taipei Medical University Hospital, Taipei, Taiwan
| | - Ching-Kuei Chang
- Division of Rheumatology, Immunology and Allergy, Department of Internal Medicine, Taipei Medical University Hospital, Taipei, Taiwan
| | - Ke-Hung Lin
- Division of Rheumatology, Immunology and Allergy, Department of Internal Medicine, Taipei Medical University Hospital, Taipei, Taiwan
| | - Chi-Ching Chang
- Division of Allergy, Immunology and Rheumatology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Division of Rheumatology, Immunology and Allergy, Department of Internal Medicine, Taipei Medical University Hospital, Taipei, Taiwan
| | - Bing-Fei Wu
- Institute of Electrical and Control Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Syu-Jyun Peng
- Professional Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, No. 250, Wuxing St., Xinyi Dist., Taipei City, 110, Taiwan.
- Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan.
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Single photon emission computed tomography/computed tomography imaging of gouty arthritis: A new voice. J Transl Int Med 2023. [DOI: 10.2478/jtim-2022-0066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2023] Open
Abstract
Abstract
Gouty arthritis, often referred to simply as gout, is a disorder of purine metabolism characterized by the deposition of monosodium urate monohydrate (MSU) crystals in multiple systems and organs, especially in joints and their surrounding soft tissue. Gout is a treatable chronic disease, and the main strategy for effective management is to reverse the deposition of MSU crystals by uric acid reduction, and to prevent gout attacks, tophi deposition and complications, and thereby improve the quality of life. However, the frequent association of gout with other conditions such as hypertension, obesity, cardiovascular disease, diabetes, dyslipidemia, chronic kidney disease (CKD) and kidney stones can complicate the treatment of gout and lead to premature death. Here, we review the use of medical imaging techniques for studying gouty arthritis with special interest in the potential role of single photon emission computed tomography (SPECT)/computed tomography (CT) in the clinical management of gout and complications (e.g., chronic kidney disease and cardiovascular disease).
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Anjum ZI, Bacha R, Manzoor I, Gilani SA. Reliability of knee joint sonography in the evaluation of gouty arthritis. J Ultrason 2021; 21:e300-e305. [PMID: 34970441 PMCID: PMC8678699 DOI: 10.15557/jou.2021.0051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 07/14/2021] [Indexed: 11/22/2022] Open
Abstract
Objective: To determine the reliability of knee joint sonography in the evaluation of gouty arthritis. Methodology: A search of Google Scholar, PubMed, NCBI, MEDLINE, and Medscape databases, from 1988 up to 2020. The key search terms used were knee joint; knee joint ultrasound; gout; gouty arthritis, knee joint pain; sensitivity; specificity. The reviewer independently screened the titles and abstracts of the relevant articles and full-text downloads to determine whether the inclusion or exclusion criteria were met. Results: In total, 103 articles were identified through the database search. In addition, 11 articles were identified through other sources. Then, screening was performed, and 9 articles were removed due to duplication. Further screening was done for 105 articles, and 27 articles were excluded due to insufficient information. Seventy-eight full-text articles were assessed for eligibility. A total of 13 full-text articles were excluded due to research performed on animals, as the study had been designed as a review of only human studies. Sixty-three studies were included that had a qualitative synthesis. Conclusion: The knee is a weight-bearing joint and may be affected by a myriad of different pathological conditions, therefore a proper diagnosis is of prime importance for a proper management plan. Ultrasound is a non-invasive, radiation-free, and readily available modality that has high sensitivity and specificity in the evaluation of gouty arthritis.
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Uhlig T, Eskild T, Karoliussen LF, Sexton J, Kvien TK, Haavardsholm EA, Dalbeth N, Hammer HB. Two-year reduction of dual-energy CT urate depositions during a treat-to-target strategy in gout in the NOR-Gout longitudinal study. Rheumatology (Oxford) 2021; 61:SI81-SI85. [PMID: 34247224 PMCID: PMC9015021 DOI: 10.1093/rheumatology/keab533] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 06/21/2021] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES There is a lack of large longitudinal studies of urate deposition measured by dual-energy computed tomography (DECT) during urate lowering therapy (ULT) in people with gout. We explored longitudinal changes in DECT urate depositions during a treat-to-target strategy with ULT in gout. METHODS Patients with a recent gout flare and serum-urate (sUA) >360 µmol/l attended tight-control visits during escalating ULT. The treatment target was sUA <360 µmol/l, and <300 µmol/l if presence of tophi.A DECT scanner (General Electric Discovery CT750 HD) acquired data from bilateral forefeet and ankles at baseline and after one and two years. Images were scored in known order, using the semi-quantitative Bayat method, by one experienced radiologist who was blinded to serum urate and clinical data. Four regions were scored: the first metatarsophalangeal (MTP1) joint, the other joints of the toes, the ankles and midfeet, and all tendons in the feet and ankles. RESULTS DECT was measured at baseline in 187 of 211 patients. The mean (S.D.) serum urate level (μmol/l) decreased from 501 (80) at baseline to 311 (48) at 12 months, and 322 (67) at 24 months.DECT scores at all locations decreased during both the first and the second year (p< 0.001 for all comparisons vs baseline), both for patients achieving and not achieving the sUA treatment target. CONCLUSIONS In patients with gout, urate depositions in ankles and feet as measured by DECT decreased both in the first and the second year, when patients were treated using a treat-to-target ULT strategy.
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Affiliation(s)
- Till Uhlig
- Division of Rheumatology and Research, Diakonhjemmet Hospital, Oslo, Norway.,Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Tron Eskild
- Division for Clinical Service, Radiology, Diakonhjemmet Hospital, Oslo, Norway
| | - Lars F Karoliussen
- Division of Rheumatology and Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Joe Sexton
- Division of Rheumatology and Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Tore K Kvien
- Division of Rheumatology and Research, Diakonhjemmet Hospital, Oslo, Norway.,Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Espen A Haavardsholm
- Division of Rheumatology and Research, Diakonhjemmet Hospital, Oslo, Norway.,Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Nicola Dalbeth
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, New Zealand
| | - Hilde Berner Hammer
- Division of Rheumatology and Research, Diakonhjemmet Hospital, Oslo, Norway.,Faculty of Medicine, University of Oslo, Oslo, Norway
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Otter S, Payne C, Jones AM, Webborn N, Watt P. Differences in Achilles tendon stiffness in people with gout: a pilot study. BMC Musculoskelet Disord 2020; 21:658. [PMID: 33028270 PMCID: PMC7542740 DOI: 10.1186/s12891-020-03598-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 08/18/2020] [Indexed: 12/12/2022] Open
Abstract
Background Gout has been associated with weaker foot/leg muscles and altered gait patterns. There is also evidence of on-going foot pain and an increased risk of tendinopathy, with the Achilles and patella tendons most frequently affected in gout. Additionally, the inflammation associated with gout may change tissue elasticity. Ultrasound imaging utilising shear wave elastography (SWE) offers a non-invasive method of quantifying changes in tendon stiffness. SWE findings have not previously been reported in individuals with gout. We sought to determine differences in Achilles tendon stiffness in people with gout compared to controls (non-gout). Methods A cross sectional study comparing 24 people with gout and 26 age/sex-matched controls. Clinical and demographic data were collated, and US imaging used to determine tendon thickness, presence of gouty tophi and/or aggregates and levels of angiogenesis. Ten shear wave elastography (SWE) measures were taken along the centre of a longitudinal section of the mid-portion of each Achilles tendon. Prior to data collection, intra-observer error was good (>0.69). Data were summarised using descriptive statistics and a repeated measures ANCOVA was used to compare SWE measures between the two groups for the left and right foot separately after accounting for Body Mass Index (BMI). Results A small proportion of those with gout presented with intra-tendon aggregates and/or intra-tendon tophi in one or both tendons. There was no statistically significant difference in tendon thickness between groups. Neo-vascularity was present in a third of gout participants. SWE findings demonstrated significantly reduced tendon stiffness in those with gout compared to controls: right Achilles mdiff =1.04 m/s (95% CI (0.38 to 1.7) p = 0.003 and left Achilles mdiff = 0.7 m/s (95% CI 0.09 to 1.32) p = 0.025. No relationship between the presence of tophi and SWE values were detected. Conclusion Subjects with chronic gout show significantly reduced Achilles tendon stiffness compared to non-gout controls. From a clinical standpoint, our findings were similar to SWE measurements in subjects with Achilles tendinopathy and who did not have gout.
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Affiliation(s)
- Simon Otter
- School of Health Sciences, University of Brighton, 49 Darley Rd, Eastbourne, BN20 7UR, UK. .,Centre for Regenerative Medicine and Devices, University of Brighton, Lewes Road, Brighton, BN2 4AT, UK.
| | - Catherine Payne
- School of Sport and Service Management, University of Brighton, Hillbrow, Denton Road, Eastbourne, BN20 7SR, UK
| | - Anna-Marie Jones
- Research and Development, Sussex Partnership NHS Foundation Trust, Swandean, Arundel Road, Worthing, BN13 3EP, UK
| | - Nick Webborn
- Centre for Regenerative Medicine and Devices, University of Brighton, Lewes Road, Brighton, BN2 4AT, UK
| | - Peter Watt
- Centre for Regenerative Medicine and Devices, University of Brighton, Lewes Road, Brighton, BN2 4AT, UK.,School of Sport and Service Management, University of Brighton, Hillbrow, Denton Road, Eastbourne, BN20 7SR, UK
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Lu B, Lu Q, Huang B, Li C, Zheng F, Wang P. Risk factors of ultrasound-detected tophi in patients with gout. Clin Rheumatol 2020; 39:1953-1960. [PMID: 32062769 DOI: 10.1007/s10067-020-04947-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 12/04/2019] [Accepted: 01/13/2020] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Tophus is a characteristic manifestation of advanced gout, the clinical significance of which is often underestimated. This study aimed to compare the difference of clinical and ultrasound features between gout patients with and without ultrasound-detected tophus and identify risk factors associated with the presence of ultrasonographic tophus in gout patients. MATERIALS AND METHODS A total of 85 gout patients were divided into tophaceous (n = 54) and non-tophaceous group (n = 31) according to the presence of ultrasound-detected tophus. All patients underwent ultrasound examination of the bilateral knee, ankle, and first metatarsophalangeal joint (MTP1). Clinical information and ultrasound findings were compared between the groups. A multivariate logistic regression analysis to determine possible risk factors is associated with the number of ultrasound-detected tophaceous joints. RESULTS Older age, longer gout duration, higher gout flare frequency, lower estimated glomerular filtration rate (eGFR), and higher prevalence of hypertension, hyperlipidemia, and ultrasound manifestations including double contour sign (DCS) and erosion were observed in tophaceous patients from the univariate analysis. Multivariable logistic regression analysis showed that eGFR and disease duration were independently associated with the number of tophaceous joints. Lower eGFR and longer course duration were associated with a higher risk of tophi (B = -0.020, 0.141; P = 0.009, 0.010, respectively). CONCLUSIONS The main factors that may influence the formation of tophi are disease duration and eGFR.Key Points• Lower eGFR and longer course duration are independent risk factors of tophi formation in gout patients.• The incidence of ultrasound manifestations including double contour sign (DCS) and erosion in patients with tophi were higher than those without tophi.
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Affiliation(s)
- Beilei Lu
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Qing Lu
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Beijian Huang
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, 200032, China. .,Shanghai Institute of Medical Imaging, Shanghai, 200032, China.
| | - Cuixian Li
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.,Shanghai Institute of Medical Imaging, Shanghai, 200032, China
| | - Fengyang Zheng
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.,Shanghai Institute of Medical Imaging, Shanghai, 200032, China
| | - Peilei Wang
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
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Boesen M, Roemer FW, Østergaard M, Maas M, Terslev L, Guermazi A. Imaging of Common Rheumatic Joint Diseases Affecting the Upper Limbs. Radiol Clin North Am 2019; 57:1001-1034. [DOI: 10.1016/j.rcl.2019.03.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Osteoarthritis phenotypes and novel therapeutic targets. Biochem Pharmacol 2019; 165:41-48. [PMID: 30831073 DOI: 10.1016/j.bcp.2019.02.037] [Citation(s) in RCA: 106] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 02/28/2019] [Indexed: 02/07/2023]
Abstract
The success of disease-modifying osteoarthritis drug (DMOAD) development is still elusive. While there have been successes in preclinical and early clinical studies, phase 3 clinical trials have failed so far and there is still no approved, widely available DMOAD on the market. The latest research suggests that, among other causes, poor trial outcomes might be explained by the fact that osteoarthritis (OA) is a heterogeneous disease with distinct phenotypes. OA trials might be more successful if they would address and target a specific phenotype. The increasing availability of advanced techniques to detect particular OA characteristics expands the possibilities to distinguish between such potential OA phenotypes. Magnetic resonance imaging is among the key imaging techniques to stratify and monitor patients with changes in bone, cartilage and inflammation. Biochemical markers have mainly used as secondary parameters and could further delineate phenotypes. Moreover, post-hoc analyses of trial data have suggested the existence of distinct pain phenotypes and their relevance in the design of clinical trials. Although ongoing work in the field supports the concept of OA heterogeneity, this has not yet resulted in more effective treatment options. This paper reviews the current knowledge about potential OA phenotypes and suggests that combining patient clinical data, quantitative imaging, biochemical markers and utilizing data-driven approaches in patient selection and efficacy assessment will allow for more successful development of effective DMOADs.
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Pascart T, Grandjean A, Capon B, Legrand J, Namane N, Ducoulombier V, Motte M, Vandecandelaere M, Luraschi H, Godart C, Houvenagel E, Norberciak L, Budzik JF. Monosodium urate burden assessed with dual-energy computed tomography predicts the risk of flares in gout: a 12-month observational study : MSU burden and risk of gout flare. Arthritis Res Ther 2018; 20:210. [PMID: 30223875 PMCID: PMC6142357 DOI: 10.1186/s13075-018-1714-9] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2018] [Accepted: 09/05/2018] [Indexed: 12/16/2022] Open
Abstract
Background Predicting the risk of flares in patients with gout is a challenge and the link between urate burden and the risk of gout flare is unclear. The objective of this study was to determine if the extent of monosodium urate (MSU) burden measured with dual-energy computed tomography (DECT) and ultrasonography (US) is predictive of the risk of gout flares. Methods This prospective observational study recruited patients with gout to undergo MSU burden assessment with DECT (volume of deposits) and US (double contour sign) scans of the knees and feet. Patients attended follow-up visits at 3, 6 and 12 months. Patients having presented with at least one flare at 6 months were compared to those who did not flare. Odds ratios (ORs) (95% confidence interval) for the risk of flare were calculated. Results Overall, 64/78 patients included attended at least one follow-up visit. In bivariate analysis, the number of joints with the double contour sign was not associated with the risk of flare (p = 0.67). Multivariate analysis retained a unique variable: DECT MSU volume of the feet. For each 1 cm3 increase in DECT MSU volume in foot deposits, the risk of flare increased 2.03-fold during the first 6 months after initial assessment (OR 2.03 (1.15–4.38)). The threshold volume best discriminating patients with and without flare was 0.81 cm3 (specificity 61%, sensitivity 77%). Conclusions This is the first study showing that the extent of MSU burden measured with DECT but not US is predictive of the risk of flares. Electronic supplementary material The online version of this article (10.1186/s13075-018-1714-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Tristan Pascart
- Department of Rheumatology, Lille Catholic Hospitals, University of Lille, 59160, Lomme, France. .,EA 4490, PMOI, Physiopathologie des Maladies Osseuses Inflammatoires, University of Lille, 59000, Lille, France. .,Saint-Philibert Hospital, Rue du Grand But, 59160, Lomme, France.
| | - Agathe Grandjean
- Department of Rheumatology, Lille Catholic Hospitals, University of Lille, 59160, Lomme, France.,Saint-Philibert Hospital, Rue du Grand But, 59160, Lomme, France
| | - Benoist Capon
- Department of Radiology, Lille Catholic Hospitals, University of Lille, 59160, Lomme, France.,Saint-Philibert Hospital, Rue du Grand But, 59160, Lomme, France
| | - Julie Legrand
- Department of Radiology, Lille Catholic Hospitals, University of Lille, 59160, Lomme, France.,Saint-Philibert Hospital, Rue du Grand But, 59160, Lomme, France
| | - Nasser Namane
- Department of Radiology, Lille Catholic Hospitals, University of Lille, 59160, Lomme, France.,Saint-Philibert Hospital, Rue du Grand But, 59160, Lomme, France
| | - Vincent Ducoulombier
- Department of Rheumatology, Lille Catholic Hospitals, University of Lille, 59160, Lomme, France.,Saint-Philibert Hospital, Rue du Grand But, 59160, Lomme, France
| | - Marguerite Motte
- Department of Rheumatology, Lille Catholic Hospitals, University of Lille, 59160, Lomme, France.,Saint-Philibert Hospital, Rue du Grand But, 59160, Lomme, France
| | - Marie Vandecandelaere
- Department of Rheumatology, Lille Catholic Hospitals, University of Lille, 59160, Lomme, France.,Saint-Philibert Hospital, Rue du Grand But, 59160, Lomme, France
| | - Hélène Luraschi
- Department of Rheumatology, Lille Catholic Hospitals, University of Lille, 59160, Lomme, France.,Saint-Philibert Hospital, Rue du Grand But, 59160, Lomme, France
| | - Catherine Godart
- Department of Rheumatology, Lille Catholic Hospitals, University of Lille, 59160, Lomme, France.,Saint-Philibert Hospital, Rue du Grand But, 59160, Lomme, France
| | - Eric Houvenagel
- Department of Rheumatology, Lille Catholic Hospitals, University of Lille, 59160, Lomme, France.,Saint-Philibert Hospital, Rue du Grand But, 59160, Lomme, France
| | - Laurène Norberciak
- Department of Medical Research, Biostatistics, Lille Catholic Hospitals, University of Lille, 59160, Lomme, France.,Saint-Philibert Hospital, Rue du Grand But, 59160, Lomme, France
| | - Jean-François Budzik
- Department of Radiology, Lille Catholic Hospitals, University of Lille, 59160, Lomme, France.,EA 4490, PMOI, Physiopathologie des Maladies Osseuses Inflammatoires, University of Lille, 59000, Lille, France.,Saint-Philibert Hospital, Rue du Grand But, 59160, Lomme, France
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Current status of ultrasound and dual-energy computed tomography in the evaluation of gout. Rheumatol Int 2018; 38:1339-1344. [PMID: 29721694 DOI: 10.1007/s00296-018-4033-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2018] [Accepted: 04/25/2018] [Indexed: 02/07/2023]
Abstract
Gout is the most common inflammatory arthritis and is increasing in relevance due to its rising prevalence and incidence. Dual-energy CT (DECT) and ultrasound (US) are the most frequently used imaging modalities for the diagnosis of gout and for the follow-up of patients receiving therapy. Although DECT has the highest diagnostic accuracy for gout and shows consistently excellent reader agreement in the assessment of urate deposition change after therapy, US also performs well and remains just as important an imaging tool in these realms due to its practical advantages in cost, availability, and safety. This article reports the current status of these two modalities in regard to diagnosis and therapy follow-up.
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