Dual-energy computed tomography for monitoring the effect of urate-lowering therapy in gouty arthritis

Dual-energy computed tomography-based radiomics for differentiating patients with and without gout flares

BACKGROUND

There is a current lack of data pertaining to the potential link between gout flares and dual-energy computed tomography radiomic features. This study aimed to construct and validate a comprehensive dual-energy computed tomography-based radiomics model for differentiating patients with and without gout flares.

METHODS

The analysis included 200 patients, of whom 150 were confirmed to have experienced at least one flare in the past 12 months; the remaining 50 patients did not experience flares. The radiomic features of the tophi at the bilateral first metatarsophalangeal joints were extracted and analyzed. Optimal radiomic features were selected using the least absolute shrinkage and selection operator method, and logistic regression analysis was used to screen clinical characteristics and establish a clinical model. The optimal radiomic features were then combined with the identified independent clinical variables to develop a comprehensive model. The performances of the radiomic, clinical, and comprehensive models were evaluated using receiver operating characteristic curve analysis, calibration curves, and decision curve analysis.

RESULTS

Four radiomic features distinguished patients with at least one flare from those without flares and were used to establish the radiomic model. Disease duration and hypertension were independent factors that differentiated flare occurrences. The radiomic, clinical, and comprehensive models showed favorable discrimination, with areas under the receiver operating characteristic curves of 0.76 (95% CI, 0.69-0.83), 0.72(95% CI, 0.63-0.80), and 0.79(95% CI, 0.73-0.86), respectively. The calibration curves (P > 0.05) showed that the differentiated values of the comprehensive model agreed well with the actual values. Decision curve analysis demonstrated that the comprehensive model achieved higher net clinical benefits than the use of either the radiomic or clinical model alone.

CONCLUSION

The results of this study suggest that a radiomics model can distinguish patients with and without gout flares. Our proposed clinical radiomics nomogram can increase the efficacy of differentiating flare occurrence, which may facilitate the clinical decision-making process.

Relationship between serum urate and changes in dual-energy CT monosodium urate crystal volume over 1 year in people with gout: an individual participant data analysis

OBJECTIVES

The dynamics of monosodium urate (MSU) crystal changes across a range of serum urate concentrations in people with gout are unknown. This study aimed to systematically examine the relationship between serum urate and changes in dual-energy CT (DECT) urate volume in people with gout and stable serum urate concentrations.

METHODS

Individual participant data were analysed from three studies of people with gout. The time periods for the analysis were selected to identify study participants with serial DECT scans of both feet over a 12-month epoch of stable urate-lowering therapy and serum urate concentrations. Data from 251 study participants were analysed using a mixed models analysis of covariance approach according to mean serum urate cut-points and mean serum urate bands.

RESULTS

For all mean serum urate cut-points assessed (0.24, 0.30, 0.36, 0.42 and 0.48 mmol/L), reductions in DECT urate volumes were observed below the cut-point. Increased DECT urate volumes were observed at or above the 0.48 mmol/L mean serum urate cut-point. Differences in the change in DECT volume were observed for the 0.42 mmol/L cut-point (p=0.0044) and the 0.48 mmol/L cut-point (p<0.0001). Significantly reduced DECT urate volumes were observed for the mean serum urate bands<0.24 mmol/L and 0.24-0.29 mmol/L and increased DECT urate volume was observed for the mean serum urate band≥0.48 mmol/L.

CONCLUSIONS

Over 1 year, MSU crystal dissolution, as measured by DECT, occurs with mean serum urate bands of<0.24 mmol/L and 0.24-0.29 mmol/L while MSU crystal formation occurs with mean serum urate≥0.48 mmol/L.

The statistical challenge of analysing changes in dual energy computed tomography (DECT) urate volumes in people with gout

BACKGROUND

Dual energy computed tomography (DECT) allows direct visualization of monosodium urate crystal deposition in gout. However, DECT urate volume data are often highly skewed (mostly small volumes with the remainder considerably larger), making statistical analyses challenging in longitudinal research. The aim of this study was to explore the ability of various analysis methods to normalise DECT urate volume data and determine change in DECT urate volumes over time.

METHODS

Simulated datasets containing baseline and year 1 DECT urate volumes for 100 people with gout were created from two randomised controlled trials. Five methods were used to transform the DECT urate volume data prior to analysis: log-transformation, Box-Cox transformation, log(X-(min(X)-1)) transformation; inverse hyperbolic sine transformation, and rank order. Linear regression analyses were undertaken to determine the change in DECT urate volume between baseline and year 1. Cohen's d were calculated as a measure of effect size for each data treatment method. These analyses were then tested in a validation clinical trial dataset containing baseline and year 1 DECT urate volumes from 91 people with gout.

RESULTS

No data treatment method successfully normalised the distribution of DECT urate volumes. For both simulated and validation data sets, significant reductions in DECT urate volumes were observed between baseline and Year 1 across all data treatment methods and there were no significant differences in Cohen's d effect sizes.

CONCLUSIONS

Normalising highly skewed DECT urate volume data is challenging. Adopting commonly used transformation techniques may not significantly improve the ability to determine differences in measures of central tendency when comparing the change in DECT urate volumes over time.

Assessing tophaceous spinal gout treatment response using dual-energy CT as a point-of-care imaging modality: case report

We describe a case of chronic tophaceous gout affecting the spine, hands, elbows, feet, and knees in a 67-year-old man with serum urate levels at 549 µmol/L whose response to treatment was successfully mapped using dual-energy computed tomography (DECT). The patient presented with exacerbation of acute-on-chronic lumbar back pain. He had received a diagnosis of gout 3 years prior to this presentation yet was not on any urate-lowering therapy. The patient received febuxostat 80 mg and colchicine 0.3 mg once daily and underwent DECT to assess baseline monosodium urate (MSU) burden. At baseline, MSU deposits were seen in the hands, elbows, feet, knees, and lumbar spine including the left L5-S1 facet joint encroaching onto the neural foramen. After 2.5 years of treatment, serum urate level was within the target range (< 360 µmol/L), and the patient underwent a follow-up DECT that revealed almost full resolution of MSU deposition in the spine, including the MSU-burdened facet joint and neural foramen in the lumbar spine, in addition to all the affected peripheral joints. This case is the first report of radiological evidence of nearly complete resolution of MSU deposits in spinal gout on DECT after urate-lowering therapy treatment, which demonstrates the utility of this imaging modality as a non-invasive investigational point-of-care imaging modality for mapping treatment response and identifying the etiology of back pain in a patient with chronic tophaceous spinal gout.

Two-year reduction of dual-energy CT urate depositions during a treat-to-target strategy in gout in the NOR-Gout longitudinal study

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.

Dual-energy computed tomography: Tube current settings and detection of uric acid tophi

PURPOSE

To derive optimal scanning parameters for single-source dual-energy computed tomography (DECT) in the detection of urate by analyzing influence of tube current ratio (TCR) and total radiation exposure in a phantom.

METHOD

Specimens with different urate concentrations in a realistic porcine bio-phantom were repeatedly imaged with sequential single-source DECT scans at 80 kVp (16.5-220 mA s) and 135 kVp (2.75-19.25 mA s). Detection index (DI - true positive minus false positive urate volume) was calculated for every possible tube current combination. Optimal tube current combinations reaching at least 85 % of the highest measured DI of all combinations without exceeding 150 % of equivalent single-energy radiation dose were identified. TCR, DLP and DI were plotted and compared.

RESULTS

Cubic regression analysis showed a flattening increase in the DI with increasing tube currents. Five out of the 100 tube current combinations analyzed achieved the detection target: the lowest DLP of 53.9 mGy*cm at 19.25/16.5 mAs (135/80 kVp) achieved a DI of 2.07 mL and the highest DI of 2.11 mL at a dose of 65.3 mGy*cm and 8.25/79.75 mAs. The optimal TCR is between two and four, while both, higher and lower ratios decreased DI.

CONCLUSIONS

A minimum tube current of the high-energy scans is needed before an acceptable overall sensitivity is achieved and before increases in low-energy exposure result in more urate detection. High TCRs above 10 are not beneficial while the optimal TCR ranges between two and four, indicating that special care has to be taken in designing a suitable DECT protocol.

Effects of Conventional Uric Acid-Lowering Therapy on Monosodium Urate Crystal Deposits

OBJECTIVE

Few studies have systematically and quantitatively addressed the impact of urate-lowering therapy on monosodium urate (MSU) deposits. This study was undertaken to analyze the effect of lifestyle measures and conventional urate-lowering therapy on MSU deposits in patients with gout.

METHODS

In this prospective study, subjects with gout according to the American College of Rheumatology/European League Against Rheumatism classification criteria and presence of MSU deposits seen on dual-energy computed tomography (DECT) scans received either lifestyle intervention or conventional urate-lowering therapy for a mean period of 18 months before a follow-up DECT scan. Detected MSU deposits were quantified by volumetric measurement and validated by semiquantitative scoring, and baseline and follow-up measurements were compared.

RESULTS

Baseline and follow-up DECT scans were available for all 83 subjects. Six subjects discontinued treatment, and 77 subjects underwent a lifestyle intervention (n = 24) or were treated with allopurinol (n = 29), febuxostat (n = 22), or benzbromarone (n = 2) over the entire observation period. The mean serum uric acid (UA) level decreased from 7.2 to 5.8 mg/dl in the overall population. In patients who discontinued treatment, no change in MSU deposits or serum UA levels was observed. The burden of MSU deposits significantly decreased in patients undergoing lifestyle intervention (MSU volume P = 0.007; MSU score P = 0.001), and in patients treated with allopurinol (MSU volume and score P < 0.001) or febuxostat (MSU volume P < 0.001; MSU score P = 0.001). No significant decline in MSU deposits was noted in patients who discontinued treatment.

CONCLUSION

These data show that lifestyle intervention and xanthine oxidase inhibitors significantly decrease the MSU deposit burden. Hence, conventional gout therapy not only lowers serum UA levels, but also reduces pathologic MSU deposits.

Imaging tools to measure treatment response in gout

Imaging tests are in clinical use for diagnosis, assessment of disease severity and as a marker of treatment response in people with gout. Various imaging tests have differing properties for assessing the three key disease domains in gout: urate deposition (including tophus burden), joint inflammation and structural joint damage. Dual-energy CT allows measurement of urate deposition and bone damage, and ultrasonography allows assessment of all three domains. Scoring systems have been described that allow radiological quantification of disease severity and these scoring systems may play a role in assessing the response to treatment in gout. This article reviews the properties of imaging tests, describes the available scoring systems for quantification of disease severity and discusses the challenges and controversies regarding the use of imaging tools to measure treatment response in gout.

Current status of ultrasound and dual-energy computed tomography in the evaluation of gout

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.

Role of dual-energy CT in the diagnosis and follow-up of gout: systematic analysis of the literature

The aim of this systematic review was to determine the potential role of dual-energy CT in the diagnosis and follow-up of gout with regard to the Outcome Measures in Rheumatology (OMERACT) filter. A systematic analysis of the literature was conducted using the MEDLINE and Cochrane databases and published abstracts of international congresses, according to the criteria of the OMERACT filter: feasibility, reproducibility, validity versus laboratory (serum urate, MSU synovial fluid aspirate) and other imaging modalities for gout, and its sensitivity to change in patients on urate lowering therapy (ULT). Thirty-two articles were found representing a total of 1502 patients. The data on feasibility showed that the examination took little time and involved low levels of radiation but had current limited availability. Intra- and inter-observer reproducibility was excellent, with intra-class correlation coefficients > 0.9. Validity in comparison with polarized-light microscopy showed good sensitivity and specificity (> 80%). The diagnostic performance was better than that of radiography and conventional CT-scan and at least equivalent to that of ultrasonography. The sensitivity to change varied with effect sizes from 0.05 (low) to 1.24 (high) for decrease in the tophus volume following different ULT in gout patients. Dual-energy CT-scan is a reproducible and accurate imaging modality for the diagnosis of gout, particularly for tophaceous gout (intra- or extra-articular). It can become a second-line imaging modality of choice in cases of diagnostic doubt, such as ultrasonography. Its role remains uncertain in the follow-up of gout patients treated with ULT and needs further clarification.

New urate depositions on dual-energy computed tomography in gouty arthritis during urate-lowering therapy

Reduction of urate depositions in the joints, on dual-energy computed tomography (DECT), in patients with gout during urate-lowering therapy (ULT) was demonstrated in previous studies. The aim of this study was to further investigate the changes in distribution of urate deposits during ULT. This randomized controlled trial enrolled 46 patients diagnosed with gout from Zhongshan Hospital, China, between October 2013 and June 2014. Epidemiological data, serum uric acid level, and arthritis attacks were recorded at monthly follow-up visits. DECT of bilateral feet and ankles was performed at baseline and after 6 months of ULT. Overall, 163 areas of urate deposition were found in the 46 patients; of these, 133/163 (81.6%) areas were associated with former arthritis attacks. On DECT at 6 months, the number of urate deposits decreased to 126, with 68 areas disappearing and 31 new deposits areas. The mean volume of urate deposits at baseline was 1.3 ± 3.8 cm³, decreasing to 0.6 ± 2.1 cm³ at the end of 6 months (P = 0.01), with 3/46 (6.5%) patients showing complete disappearance of urate deposits. New urate depositions were found in 21/46 (45.7%) patients, while urate depositions in some joints disappeared in some joints in 31/46 (67.4%) patients. High-sensitivity C-reactive protein was significantly lower in patients with new deposits (4.6 ± 9.3 vs. 7.1 ± 7.6 mg/dL; P = 0.01). There is dynamic redistribution of urate depositions in gout patients receiving ULT.