Home Single photon emission computed tomography/computed tomography imaging of gouty arthritis: A new voice
Article Open Access

Single photon emission computed tomography/computed tomography imaging of gouty arthritis: A new voice

  • Yan Wang , Yan Zha , Lin Liu , Ang Liao , Ziqiang Dong , Neil Roberts EMAIL logo and Yaying Li EMAIL logo
Published/Copyright: March 19, 2023

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).

Introduction

Gout, characterized by the deposition of monosodium urate monohydrate (MSU) crystals in synovial fluid, joint spaces and other soft tissues, is a disorder of purine metabolism, caused by prolonged hyper-uricemia secondary either to overproduction, or renal and intestinal under-excretion of uric acid (UA).[1,2] Gout can occur in multiple systems and organs, especially in joints and their surrounding soft tissue. The most commonly affected sites are the meta-tarso-phalangeal (MTP) joint, followed by the elbow, knee, and inter-knuckle joints. Previously, it was thought that the axial skeleton was only very occasionally involved. However, based on the findings reported in recent publications, the incidence of spinal gout may be more common than that was first thought.[3, 4, 5] In addition, gout may be associated with the development of other conditions such as hypertension, obesity, cardiovascular disease, diabetes, dyslipidemia, chronic kidney disease (CKD) and kidney stones,[6, 7, 8, 9, 10, 11, 12] which can complicate the treatment of gout and lead to premature death.[13]

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). SPECT/CT is a molecular imaging technology that is widely used in clinical research offering the main advantage that information regarding functional metabolism is integrated with information regarding anatomical structure. The advance of digital image analysis software for use with SPECT/CT offers particular advantages for studying gouty arthritis.

Epidemiology

Gout is the most common inflammatory arthritis occurring in adults.[14] Information from population-based studies carried out of adults in Asia, Europe and North America indicates that the incidence of gouty arthritis is between 0.6 and 2.9 per 1000 person-years, and appears to be higher in western countries than in Asia, which is likely related to lifestyle diets (e.g., obesity, alcohol consumption), environmental factors and genetics. The corresponding prevalence is between 0.68% and 3.90%,[7,9,15, 16, 17, 18] being highest at 6.1% in Oceania (Maori ancestry),[1] followed by 3.9% in USA, 3.2 % in New Zealand (European ancestry), 1.4%–2.5% in the UK, 1.4% in Germany, 1%–3% in China,[19] 1.94% in Korea[14] and 0.9% in France.

Gout is more common in men than in women, with the male to female sex ratio reported to range between 2:1 and 4:1 in Europe and North America and being as high as 8:1 in Asia.[20] Interestingly, it has been reported that serum urate concentrations are lower in premenopausal women due to the uricosuric effects of estrogen, and following the menopause, urate increases to concentrations similar to those observed in men.[21]

Pathophysiology

Clinically, gout is characterized by painful flares of acute monoarthritis interspersed with asymptomatic periods, and the course of the disease has been classified into four stages, namely: (1) asymptomatic hyper-uricemia, (2) acute gouty attack, (3) inter-critical period and (4) chronic tophaceous gout.[20] High serum uric acid is the most important risk factor for the development of gout. Exposure of extremities to low temperatures, physiological pH between 7 and 10, high concentration of sodium ions, and synovial and cartilage components can all promote monosodium urate crystallization,[22,23] especially in the first MTP joint. The biomechanical load on the foot and ankle during the normal gait cycle produces a unique pattern of crystal deposition with clustering at pressure points within the joint.[24] Within the joints, reaction between monosodium urate crystals and the nucleotide-binding oligomerization domain, leucine-rich repeat and pyrin domain-containing 3 inflammasome (NLRP3) in macrophages and monocytes leads to a series of inflammatory responses. The resulting inflammatory products[20,25] (e.g., neutrophile granulocyte, interleukin [IL]-10, IL-1ra, transforming growth factor [TGF]-β and IL-37) and persistent hyper-uric acid produce chronic inflammation leading to formation of tophi.[20] The common feature of advanced gout is structural bone and joint damage (bone erosion and focal cartilage damage) caused by tophi.

Oxidative stress represents a fundamental pathway in diseases related to hyper-uricemia (hypertension and diabetes), and in the development of damage to the heart and cardiovascular system.[8] Gout can also affect the kidneys with UA being deposited as crystals in the renal tubules causing an increase in oxidative stress, tubule-interstitial inflammation with afferent arteriopathy of the arteriole and hyperplasia/hypertrophy of the tunica muscularis,[26] activation of the renin-angiotensin-aldosterone system[27] and impairment in endothelial function due to a reduction of nitric oxide levels.[28] It is well known that renal damage is a risk factor for CV. However, one of the most important mechanisms through which UA is probably related to CV events is renal damage. Regarding metabolic derangement, UA is involved in the deamination of adenosine monophosphate, resulting in increased fat accumulation, which is one of the steps at the basis of hyper-insulinemia, and consequently in insulin resistance.[29]

Imaging

The diagnosis of gout is usually based on clinical presentation, laboratory tests and imaging. With regard to the latter, in 2015, the American College of Rheumatology and European League Against Rheumatism[1] proposed that microscopic confirmation of monosodium urate crystals in synovial fluid or tophi be the gold standard for gout diagnosis. Imaging techniques are also recommended for evaluation of gout,[1,30] and ultrasound (US) imaging and dual energy computed tomography (DECT) are often used. We have prepared a flowchart of demonstration for imaging of gout (Figure 1), and a summary of research on advanced imaging of gout in 2012–2021 can be found in Table 1.

Figure 1 A flowchart of demonstration for imaging of gout. MRI: magnetic resonance imaging; MSU: monosodium urate monohydrate; DECT: dual energy computed tomography; US: ultrasound; SPECT: single photon emission computed tomography; CT: computed tomography.
Figure 1

A flowchart of demonstration for imaging of gout. MRI: magnetic resonance imaging; MSU: monosodium urate monohydrate; DECT: dual energy computed tomography; US: ultrasound; SPECT: single photon emission computed tomography; CT: computed tomography.

Table 1

The research on advanced imaging of gout in 2012–2021

Title Journal Study nature Study sample size Study time Study result
Tips and tricks to recognize microcrystalline arthritis[31] Rheumatology Review 2012 US detects not only urate crystals but also tophaceous aggregates both around and inside the erosions, which is considered the most operator-dependent imaging technique.
Ultrasound-detected musculoskeletal urate crystal deposition: which joints and what findings should be assessed for diagnosing gout?[32] Annals Of The Rheumatic Diseases Prospectively research 133 2013 US bilateral assessment of one joint, three articular cartilages and two tendons may be valid for diagnosing gout with acceptable sensitivity and specificity.
Artifacts in Dual-Energy CT Gout Protocol: A Review of 50 Suspected Cases With an Artifact Identification Guide[33] American Journal Of Roentgenology Prospective study 50 2013 Artifacts, although common in DECT gout protocol, can usually be readily recognized, thereby avoiding false-positive results.
Imaging Modalities for the Classification of Gout: Systematic Literature Review and Meta-Analysis[34] Annals Of The Rheumatic Diseases Systematic Literature Review and Meta-Analysis Eleven studies (9 manuscripts and 2 meeting abstracts) satisfied the inclusion criteria 2015 US and DECT show promise for gout classification but the few studies to date have mostly been in patients with longstanding, established disease. The contribution of imaging over clinical features for gout classification criteria requires further examination.
2015 Gout classification criteria: an American College of Rheumatology/ European League Against Rheumatism collaborative initiative[1] Annals Of The Rheumatic Diseases Criteria 2015 US and DECT are recommended as one of the gout scoring criteria.
Performance of Ultrasound in the Diagnosis of Gout in a Multi-Center Study: Comparison with Monosodium Urate Crystal Analysis as the Gold Standard[35] Arthritis & Rheumatology Multi-Center Study 824 2016 US features of MSU crystal deposition had high specificity and high positive predictive value but more limited sensitivity for early gout. The specificity remained high in subjects with early disease and without clinical signs of tophi.
The performance of dual-energy CT in the classification criteria of gout: a prospective study in subjects with unclassified arthritis[36] Rheumatology Original article 89 2019 DECT seems to have an additive value in gout classification, especially when microscopy of synovial fluid is negative.
Ultrasound for the diagnosis of gout—the value of gout lesions as defined by the Outcome Measures in Rheumatology ultrasound group[37] Rheumatology Original article 82 2020 US-visualized tophus show high specificities, positive predictive values and accuracies for diagnosing gout, and are therefore valid tools in clinical practice.
Dual-energy computed tomography versus ultrasound, alone or combined, for the diagnosis of gout: a prospective study of accuracy[38] Rheumatology prospective study 147 2021 Feet/ankles or knees DECT alone had the best overall accuracy for gout diagnosis. DECT/US combination or multiple joint imaging offered no additional increase in overall diagnostic accuracy.
  1. MSU: monosodium urate monohydrate; DECT: dual energy computed tomography; US: Ultrasound; SPECT: single photon emission computed tomography.

X-ray and X-ray CT

Generally speaking, many of the abnormalities reported on plain film X-rays of the spine obtained for patients with gout are non-specific such as cervical spondylosis,[39] spondylolisthesis[40] and degenerative change.[41] However, if the bone and joint are eroded by tophi, there will be typical punched out erosion. Another characteristic feature is the presence of a so-called “overhanging edge”. This is a thin bony extension at the periphery of the erosion protruding into the soft tissues and partially covering the tophus.[42] Images obtained by using X-ray CT are more useful for evaluating the spine and sacroiliac joints than X-ray, and can also be used to measure tophi density, which typically has a mean density of 160–170 Hounsfield units.[42,43] However, as will be described below, ultrasound and DECT imaging,[1,20] rather than X-ray or X-ray CT, are the main imaging techniques for evaluating gout.

US

Several features of early gout may be seen on ultrasound images,[1,44,45] including effusion in the affected joint and synovial hypertrophy and bursitis, which are often seen but are non-specific; MSU crystals of less than 1 mm, and larger MSU aggregates, are referred to as micro-tophi, which have what is described as a “snowstorm” appearance. However, the most characteristic appearance of gout on ultrasound images is the “double contour sign (DCS)”, which results from deposition of gout crystals on the surface of the articular cartilage. The crystals eventually create a continuous hyper-echoic line overlying the articular cartilage, paralleling the subchondral bone. Recently, several longitudinal studies have demonstrated good feasibility of ultrasound as a tool for measuring changes in tophi after gout treatment.[46,47] The use of ultrasound in the assessment of rheumatologic conditions is increasing due to increasing availability, relative low cost, lack of ionizing radiation, dynamic and multi-planar imaging capability, and high soft tissue resolution,[48] but ultrasound also has limitations. Intraosseous tophi cannot be detected using ultrasound due to the inability of ultrasound to penetrate bone cortex.[45] Therefore, US has a limited role in studying deep lying regions of the musculoskeletal system (i.e., axial skeleton).[45]

DECT and Spectral CT

When combined with image processing software which includes a material decomposition algorithm to color-code urate, DECT dual energy imaging provides a sensitive method for the detection of tophi.[49,50] Different manufacturers have developed slightly different system and algorithms, i.e., dual-source CT with 80 (100) kVp and 140 kVp tubes (Siemens Medical Solution),[49] dual-layer multi-detector scanner with acquisition 120 or 140 kVp (Philips Healthcare)[51] and CT unit with one rapid kVp switching source and new detector based on gemstone scintillator materials (GE Healthcare)[50] and particular range of colors to depict urate crystals at articular or periarticular sites. MSU crystals of < 2 mm can be detected earlier by DECT than by using other imaging methods, and additionally, DECT allows bone erosion to be well depicted.[46] Compared with ultrasound, DECT is more suitable for the detection of gout spondylitis. However, DECT does not perform well when inflammation is present.[52] In addition, artifacts may arise from nail beds, the so-called clumpy artifacts along the tendon, calcification, movement and beam hardening, leading to false-positive results and volumetric analysis appears not to show change over time, even when therapy is effective.[53,54] Furthermore, the required image post-processing is a time-consuming and potentially costly process. DECT, actually, is a robust tool to detect tophi, which has been used to measure size of tophi and to evaluate the dissolution of local joint MSU crystals after treatment. Currently, however, guidelines do not exist with regard to the measurement technique to be adopted,[45] and there may be a possibility of large deviations due to subjective factors, especially in the evaluation of treatment response.

Magnetic resonance imaging

Magnetic resonance imaging (MRI) is the preferred imaging modality for evaluating the spinal canal. Gout in the spinal canal is extremely rare and difficult to diagnose because its clinical manifestation and radiologic findings mimic tumors, abscess, tuberculosis and degenerative spinal diseases.[55,56] Generally speaking, differential diagnosis can be made by clinical symptoms. In particular, spinal tumors may be associated with severe local pain, spinal abscesses may be associated with a history of fever and spinal tuberculosis may have a history of tuberculosis infection of other organs. Elgafy et al.[57] performed a systematic review and reported that the majority of spinal tophi were hypo-intense on both T1-and T2-weighted MR images (45.5% and 26.5%, respectively) and 47.1% showed gadolinium enhancement which occurs as a result of vascularized reactive granulation. Although the MR appearance of tophi is non-specific, the diagnosis of gout should be considered when a mass has heterogeneous low to intermediate signal intensity on T2-weighted images, especially if the mass erodes adjacent bones.[42]

SPECT/CT

Traditionally, in nuclear medicine, bone imaging is performed using whole-body skeletal scintigraphy with 99mTc phosphate compounds, which may be helpful in revealing the extent, severity and distribution of gouty arthritis.[2,58] However, SPECT, and especially SPECT/ CT, provides increased sensitivity and specificity.[59] The outstanding feature of these techniques is that they reveal not only the morphology of the bone but also functional information regarding blood supply and metabolism, changes in which may often precede morphological changes. 99mTc-methylene diphosphonate (MDP) is a commonly used nuclear medicine tracer for bone imaging, and hydroxyapatite crystals can be detected by large amounts of 99mTc-MDP being absorbed on the crystal surface. Tophi may also be detected via the appearance of bone erosion and bone remodeling on the CT image. Nevertheless, there are only a few reports of 99mTc-MDP bone imaging having been used to diagnose gouty arthritis.[60, 61, 62, 63] In one study, an anomalous increase of 99mTc-MDP was reported in tophi and interpreted to be due to inflammation causing an increase in blood supply to the region (Figure 2).[64] However, the increase of 99mTc-MDP uptake is non-specific because it can also occur at sites of infection and in tumor, which has led to reluctance to use 99mTc-MDP SPECT/ CT in studies evaluating gouty arthritis. Accordingly, advanced molecular imaging using 99mTc-MDP SPECT/CT was not included in the criteria for classifying gouty arthritis developed jointly by the American Society of Rheumatology and the European Federation against Rheumatism in 2015 (Table 2).[1,2]

Figure 2 A 66-year-old elderly male. Postoperative pathological diagnosis of the lumbar spine: gout nodules. Anterior and posterior whole body views of 99mTc-MDP skeletal scintigraphy are shown. (A) Multiple regions of anomalous uptake of 99mTc-MDP were detected in the lumbar 1/2 right, right rotoclavicular, knee and ankle joints. (B–E) SPECT/CT can synchronize the case of bone, which enables the acquisition of synchronous imaging information of metabolism (focal anomalous uptake of 99mTc-MDP can be seen in an intra-spinal canal nodule at level L1/2 [white triangle]) and bone destruction in the gouty lesion area (bone erosions can be seen in the right inter-apophyseal joints at levels L1/2 [white arrow] and L2/3 [blue arrow]).[64] MDP: methylene diphosphonate; SPECT: single photon emission computed tomography; CT: computed tomography.
Figure 2

A 66-year-old elderly male. Postoperative pathological diagnosis of the lumbar spine: gout nodules. Anterior and posterior whole body views of 99mTc-MDP skeletal scintigraphy are shown. (A) Multiple regions of anomalous uptake of 99mTc-MDP were detected in the lumbar 1/2 right, right rotoclavicular, knee and ankle joints. (B–E) SPECT/CT can synchronize the case of bone, which enables the acquisition of synchronous imaging information of metabolism (focal anomalous uptake of 99mTc-MDP can be seen in an intra-spinal canal nodule at level L1/2 [white triangle]) and bone destruction in the gouty lesion area (bone erosions can be seen in the right inter-apophyseal joints at levels L1/2 [white arrow] and L2/3 [blue arrow]).[64] MDP: methylene diphosphonate; SPECT: single photon emission computed tomography; CT: computed tomography.

Table 2

2015 ACR/EULAR gout classification criteria[1]

Imaging Categories Score
Imaging evidence of urate deposition in symptomatic (ever) joint or bursa: ultrasound evidence of double-contour sign or DECT demonstrating urate deposition** Present (either modality) 4
Imaging evidence of gout-related joint damage: conventional radiography of the hands and/or feet demonstrates at least 1 erosion†† Present 4
  1. If imaging is not available, score these items as 0. **Presence of color-coded urate at articular or periarticular sites. Images should be acquired using a DECT scanner, with data acquired at 80 kV and 140 kV and analyzed using gout-specific software with a 2-material decomposition algorithm that color-codes urate. A positive scan is defined as the presence of color-coded urate at articular or periarticular sites. Nailbed, submillimeter, skin, motion, beam hardening and vascular artifacts should not be interpreted as DECT evidence of urate deposition. ††Erosion is defined as a cortical break with sclerotic margin and overhanging edge, excluding distal interphalangeal joints and gull-wing appearance. DECT: dual energy computed tomography; MSU: monosodium urate monohydrate; ACR: AmericanCollegeofRheumatology; EULAR: European League Against Rheumatism.

Recently, the potential of using SPECT/CT in the imaging assessment of other post-operative skeletal pain,[65, 66, 67] such as involving the spine, hip, hand and foot, has been demonstrated. For example, SPECT/ CT has been shown to be highly effective and cost-saving in supporting the management of patients with painful total-knee arthroplasty.[68,69] Further progress will require the development of novel radiopharmaceuticals offering improved measurement of pharmacokinetics (e.g., next-generation radio-bisphosphonates) or visualization of infection (e.g., 99mTc-UBI-29-4).[70] Importantly, SPECT/ CT provides not only functional metabolic imaging but also allows a detailed assessment of changes in bone morphology and pathophysiology during the evolution of lesions.

In the past, analysis of SPECT/CT images was primarily based on visual inspection, which was too subjective and lacked the objectivity necessary for routine use in clinical practice. The development of the PET/ CT technique provided inherent advantages for quantification with higher sensitivity and increased spatial resolution, and which has to some extent held back the development of SPECT/ CT. However, subsequent developments have meant that SPECT/CT is now recognized as an effective, versatile and mature imaging tool. In particular, advances in technology mean that SPECT/ CT systems are equipped with high-end multi-slice CT. In addition, introduction of iterative reconstruction techniques for CT has meant that doses of ionizing radiation have been reduced by up to 80% without loss of image quality. Furthermore, new multimodal reconstruction techniques have led to improvements in image resolution and the possibility of visualizing small changes in the structure of the skeleton.[71] Furthermore, the virtual monochromatic reconstructions of high-energy photons (140 keV) on dual-energy SPECT/ CT systems mean that there is also less susceptibility to metal artifacts.[72]

The combination of appropriate radionuclide imaging agents and dedicated image processing software means that not only can MSU crystals be visualized but also gout metabolism can be measured. In 2017, the first SPECT/ CT system with a 360° ring-shaped gantry was introduced, equipped with 12 CZT-based elongated detectors that can be controlled so as to be positioned as close as possible to the patient.[73] Although the findings are preliminary, there are indications that the new system provides significantly enhanced image resolution and contrast.[70]

High-end SPECT/CT devices combine robust techniques for correcting for photon scattering, photon attenuation and partial volume effect with enhanced image reconstruction algorithms (e.g., iterative reconstruction, metal artifact reduction algorithms), which represents an important milestone in the development of nuclear medicine. The accuracy of 99mTc imaging is reported to be within 65% of the true radionuclide concentration.[74,75] This brings the potential for quantitative assays to be performed in routine clinical practice.[74,76] For example, measurement of the standardized uptake value (SUV) of bone lesions with SPECT/CT can allow longitudinal assessment of bone pathologies, allow assessment of the degree of abnormality in temporomandibular joint disease,[77] drug-related necrosis of the jaw and knee osteoarthritis,[78] distinguish between bone metastases and degenerative changes,[79,80] and help predict prognosis for radionuclide therapy in patients with prostate cancer.[81]

Worldwide, approximately 85% of all nuclear medicine screening programs use 99mTc, with 30 million investigations performed each year.[70] The 99mTc radiotracers that are used for bone imaging do not require relatively close proximity to a medical cyclotron and a rapid distribution network, which usually costs about one-tenth of the cost of PET tracers. In addition, there is the potential for simultaneous multi-tracer studies with different radionuclides being used to examine different biologic pathways in a single imaging session. SPECT/CT systems also cost less than PET/CT systems and have a much greater installed base worldwide. For example, recent data from Europe revealed a 22% increase in the number of SPECT/CT scanners installed in France from 2015 to 2018, with similar growth figures in the UK and Germany.[70]

Standardization and quality control are key requirements for taking full advantage of the possibility of providing truly personalized and high-quality patient care, and many major professional associations and international institutions, such as the Society for Nuclear Medicine and Molecular Imaging, the European Association for Nuclear Medicine and the International Atomic Energy Agency, have proposed initiatives for developing robust and standard practice in SPECT/ CT imaging. This offers potential benefits for the study of gouty arthritis and it is likely that in the future SPECT/ CT imaging will be included in the evaluation criteria for diagnosing and staging this disease.

Future and challenge

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.[20]

Chronic kidney disease

Studies have shown that uric acid plays an independent role in the onset and development of chronic kidney disease (CKD).[82] Gout and CKD often co-exist, and as many as about 70% of adults with gout have an estimated glomerular filtration rate (eGFR) of < 60 mL/ min/1.73m2, while 20%–24% have an eGFR of < 30 mL/ min/1.73m2.[83] Decreased eGFR is a risk factor for early development of tophi, suggesting that renal function regulates the severity of gout. However, in clinical practice, there is a lack of information to guide the management of patients with CKD who have gout.[83] This is partly due to the exclusion of patients with CKD from gout therapies, failure to report results stratified according to measures of renal function and inconsistency in the way measurements are obtained and reported,[84] leading to conflicting recommendations from professional bodies regarding the treatment of patients with CKD and gout.[85,86] Some clinical studies have provided evidence that urate lowering therapy (ULT) may help prevent and delay decreased renal function in patients with CKD.[87] The gold standard for measuring renal function is to measure eGFR via inulin clearance, but the test is cumbersome, time-consuming, and cannot be routinely applied in the clinic. Accordingly, in clinical practice, eGFR is usually measured from serum creatinine levels, but this approach is not ideal.[88] Studies have shown that 99mTc-DTPA kidney SPECT/ CT is more reliable in measuring renal clearance and a promising way to measure eGFR.[89] A topic that is currently of major interest in SPECT/CT research is the use of deep learning-based automated measurement of GFR.[90] Moreover, kidney SPECT/CT can be used to assess both the filtration function of the glomeruli and the pathophysiology of the renal parenchyma,[91] and we recommend that these assessments are added to the SPECT/CT imaging protocol for the management of patients with gout. In future, it will be possible to combine measurement of serum uric acid with kidney SPECT/ CT to predict the course of the disease in patients with CKD and gout.[21]

Cardiovascular disease

There have been recent reports that elevated UA is associated with cardio-vascular (CV) disease and related to CV disease-related mortality,[92] CV events (mainly acute coronary syndrome [ACS]) and stroke. In addition, UA is closely associated with heart failure[93] and causes higher mortality,[94] as well as the onset of atrial fibrillation.[95] These clinically important findings have led to the measurement of UA being incorporated in the latest European guidelines for assessing arterial hypertension and stratification management for risk of CV.[96]

In recent years, it has been reported in one prospective study[97] and one retrospective study[98] that DECT can detect the deposition of MSU in blood vessels. Based on these studies, Khanna et al. suggested that MSU deposition on the wall of blood vessels may have a pro-inflammatory effect accelerating the onset of atherosclerosis, and increasing the incidence of CV events and strokes. Recent developments in dual-isotope SPECT imaging, utilizing 99mTc-methoxy-isobutylisonitrile (MIBI) and the fatty-acid metabolism imaging agent 123I–beta-methyl-iodophenyl-pentadecanoic acid (BMIPP), have demonstrated that in patients with CV, functional metabolic changes can be observed in the distribution of myocardial injury caused by spasm of the distal vessels of the anterior descending branch of the left coronary artery.[99] Since the pathological changes in metabolism occur before the changes in structure, SPECT/ CT may potentially be used to predict the deposition of MSU crystals in the coronary veins, so that proactively, interventions can be made to prevent the occurrence of coronary atherosclerosis.

In summary, with the development of contemporary precision medicine including the use of imaging techniques such as SPEC/CT, the individualized diagnosis and treatment of gout is likely to be significantly enhanced. In particular, application of new imaging hardware and deep learning algorithms and multi-disciplinary collaboration will all enhance the application of SPECT/CT imaging in diagnosing and monitoring treatment response in gouty arthritis. New developments that are in progress in physics/engineering, radiopharmaceuticals/chemistry, and design of new chelates and radiolabeled auxiliary groups will additionally allow more accurate visualization of the evolution of pathology and advances in the development of precision medicine for gouty arthritis.


#These authors contributed equally to this work.

Prof. Yaying Li, Department of Nuclear Medicine, Guizhou Provincial People’s Hospital, Affiliated Hospital of Guizhou University, Guiyang 550002, China. Prof. Neil Roberts, School of Clinical Sciences, The Queen’s Medical Research Institute (QMRI), University of Edinburgh, Edinburgh EH8 9YL, United Kingdom.

  1. Source of Funding

    This work was supported by Guizhou Provincial Science and Technology Projects, Qian Ke He Foundation-ZK [2022] General 253; Doctor Foundation of Guizhou Provincial People’s Hospital (GZSYBS [2019]02); Science and Technology Fund Projects of Guizhou Health Commission (gzwkj2023-210).

  2. Conflict of Interest

    None of the authors has any conflict of interest to declare.

References

1 Neogi T, Jansen TL, Dalbeth N, Fransen J, Schumacher HR, Berendsen D, et al. 2015 Gout classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Ann Rheum Dis 2015;74:1789–98.10.1136/annrheumdis-2015-208237Search in Google Scholar PubMed PubMed Central

2 Pickhardt PJ, Shapiro B. Three-phase skeletal scintigraphy in gouty arthritis: an example of potential diagnostic pitfalls in radiopharmaceutical imaging of the extremities for infection. Clin Nucl Med 1996;21:33–9.10.1097/00003072-199601000-00009Search in Google Scholar PubMed

3 Hou LC, Hsu AR, Veeravagu A, Boakye M. Spinal gout in a renal transplant patient: a case report and literature review. Surg Neurol 2007;67:65–73.10.1016/j.surneu.2006.03.038Search in Google Scholar PubMed

4 Konatalapalli RM, Demarco PJ, Jelinek JS, Murphey M, Gibson M, Jennings B, et al. Gout in the axial skeleton. J Rheumatol 2009;36:609– 13.10.3899/jrheum.080374Search in Google Scholar PubMed

5 Saketkoo LA, Robertson HJ, Dyer HR, Virk ZU, Ferreyro HR, Espinoza LR. Axial gouty arthropathy. Am J Med Sci 2009;338:140–6.10.1097/MAJ.0b013e3181a3dc14Search in Google Scholar PubMed

6 Bevis M, Blagojevic-Bucknall M, Mallen C, Hider S, Roddy E. Comorbidity clusters in people with gout: an observational cohort study with linked medical record review. Rheumatology (Oxford) 2018;57:1358–63.10.1093/rheumatology/key096Search in Google Scholar PubMed

7 Dehlin M, Drivelegka P, Sigurdardottir V, Svard A, Jacobsson LT. Incidence and prevalence of gout in Western Sweden. Arthritis Res Ther 2016;18:164.10.1186/s13075-016-1062-6Search in Google Scholar PubMed PubMed Central

8 Maloberti A, Biolcati M, Ruzzenenti G, Giani V, Leidi F, Monticelli M, et al. The Role of Uric Acid in Acute and Chronic Coronary Syndromes. J Clin Med 2021;10:4750.10.3390/jcm10204750Search in Google Scholar PubMed PubMed Central

9 Rai SK, Avina-Zubieta JA, McCormick N, De Vera MA, Shojania K, Sayre EC, et al. The rising prevalence and incidence of gout in British Columbia, Canada: Population-based trends from 2000 to 2012. Semin Arthritis Rheum 2017;46:451–6.10.1016/j.semarthrit.2016.08.006Search in Google Scholar PubMed PubMed Central

10 Richette P, Clerson P, Perissin L, Flipo RM, Bardin T. Revisiting comorbidities in gout: a cluster analysis. Ann Rheum Dis 2015;74:142–7.10.1136/annrheumdis-2013-203779Search in Google Scholar PubMed

11 Zhu Y, Pandya BJ, Choi HK. Comorbidities of gout and hyperuricemia in the US general population: NHANES 2007-2008. Am J Med 2012;125:679–87 e1.10.1016/j.amjmed.2011.09.033Search in Google Scholar PubMed

12 Hansildaar R, Vedder D, Baniaamam M, Tausche AK, Gerritsen M, Nurmohamed MT. Cardiovascular risk in inflammatory arthritis: rheumatoid arthritis and gout. Lancet Rheumatol 2021;3:e58–e70.10.1016/S2665-9913(20)30221-6Search in Google Scholar PubMed PubMed Central

13 Fisher MC, Rai SK, Lu N, Zhang Y, Choi HK. The unclosing premature mortality gap in gout: a general population-based study. Ann Rheum Dis 2017;76:1289–94.10.1136/annrheumdis-2016-210588Search in Google Scholar PubMed

14 Singh JA, Gaffo A. Gout epidemiology and comorbidities. Semin Arthritis Rheum 2020;50:S11–6.10.1016/j.semarthrit.2020.04.008Search in Google Scholar PubMed

15 Chen-Xu M, Yokose C, Rai SK, Pillinger MH, Choi HK. Contemporary Prevalence of Gout and Hyperuricemia in the United States and Decadal Trends: The National Health and Nutrition Examination Survey, 2007–2016. Arthritis Rheumatol 2019;71:991–9.10.1002/art.40807Search in Google Scholar PubMed PubMed Central

16 Kim JW, Kwak SG, Lee H, Kim SK, Choe JY, Park SH. Prevalence and incidence of gout in Korea: data from the national health claims database 2007-2015. Rheumatol Int 2017;37:1499–506.10.1007/s00296-017-3768-4Search in Google Scholar PubMed

17 Kuo CF, Grainge MJ, Mallen C, Zhang W, Doherty M. Rising burden of gout in the UK but continuing suboptimal management: a nationwide population study. Ann Rheum Dis 2015;74:661–7.10.1136/annrheumdis-2013-204463Search in Google Scholar PubMed PubMed Central

18 Zobbe K, Prieto-Alhambra D, Cordtz R, Hojgaard P, Hindrup JS, Kristensen LE, et al. Secular trends in the incidence and prevalence of gout in Denmark from 1995 to 2015: a nationwide register-based study. Rheumatology (Oxford) 2019;58:836–9.10.1093/rheumatology/key390Search in Google Scholar PubMed

19 Xu D, Zhu XX, Zeng XJ, Zou HJ, Gu JR, Zhou JG, et al. [Recommendations of diagnosis and treatment of gout in China]. Zhonghua Nei Ke Za Zhi 2020;59:421–6.Search in Google Scholar

20 Dalbeth N, Gosling AL, Gaffo A, Abhishek A. Gout. The Lancet 2021;397:1843–55.10.1016/S0140-6736(21)00569-9Search in Google Scholar PubMed

21 Johnson RJ, Bakris GL, Borghi C, Chonchol MB, Feldman D, Lanaspa MA, et al. Hyperuricemia, Acute and Chronic Kidney Disease, Hypertension, and Cardiovascular Disease: Report of a Scientific Workshop Organized by the National Kidney Foundation. Am J Kidney Dis. 2018;71:851–65.10.1053/j.ajkd.2017.12.009Search in Google Scholar PubMed PubMed Central

22 Chhana A, Lee G, Dalbeth N. Factors influencing the crystallization of monosodium urate: a systematic literature review. BMC Musculoskelet Disord 2015;16:296.10.1186/s12891-015-0762-4Search in Google Scholar PubMed PubMed Central

23 Loeb JN. The influence of temperature on the solubility of monosodium urate. Arthritis Rheum 1972;15:189–92.10.1002/art.1780150209Search in Google Scholar PubMed

24 Stewart S, Dalbeth N, Vandal AC, Rome K. The first metatarsophalangeal joint in gout: a systematic review and meta-analysis. BMC Musculoskelet Disord 2016;17:69.10.1186/s12891-016-0919-9Search in Google Scholar PubMed PubMed Central

25 Pascart T, Liote F. Gout: state of the art after a decade of developments. Rheumatology (Oxford) 2019;58:27–44.10.1093/rheumatology/key002Search in Google Scholar PubMed

26 Sanchez-Lozada LG, Tapia E, Lopez-Molina R, Nepomuceno T, Soto V, Avila-Casado C, et al. Effects of acute and chronic L-arginine treatment in experimental hyperuricemia. Am J Physiol Renal Physiol 2007;292:F1238–44.10.1152/ajprenal.00164.2006Search in Google Scholar PubMed

27 Perlstein TS, Gumieniak O, Hopkins PN, Murphey LJ, Brown NJ, Williams GH, et al. Uric acid and the state of the intrarenal reninangiotensin system in humans. Kidney Int 2004;66:1465–70.10.1111/j.1523-1755.2004.00909.xSearch in Google Scholar PubMed

28 Kato M, Hisatome I, Tomikura Y, Kotani K, Kinugawa T, Ogino K, et al. Status of endothelial dependent vasodilation in patients with hyperuricemia. Am J Cardiol 2005;96:1576–8.10.1016/j.amjcard.2005.07.068Search in Google Scholar PubMed

29 Lanaspa MA, Sanchez-Lozada LG, Choi YJ, Cicerchi C, Kanbay M, Roncal-Jimenez CA, et al. Uric acid induces hepatic steatosis by generation of mitochondrial oxidative stress: potential role in fructose-dependent and -independent fatty liver. J Biol Chem 2012;287:40732–44.10.1074/jbc.M112.399899Search in Google Scholar PubMed PubMed Central

30 Toprover M, Krasnokutsky S, Pillinger MH. Gout in the Spine: Imaging, Diagnosis, and Outcomes. Curr Rheumatol Rep 2015;17:70.10.1007/s11926-015-0547-7Search in Google Scholar PubMed

31 Filippucci E, Di Geso L, Grassi W. Tips and tricks to recognize microcrystalline arthritis. Rheumatology (Oxford) 2012;51 Suppl 7:vii18–21.10.1093/rheumatology/kes332Search in Google Scholar PubMed

32 Naredo E, Uson J, Jimenez-Palop M, Martinez A, Vicente E, Brito E, et al. Ultrasound-detected musculoskeletal urate crystal deposition: which joints and what findings should be assessed for diagnosing gout? Ann Rheum Dis 2014;73:1522–8.10.1136/annrheumdis-2013-203487Search in Google Scholar PubMed

33 Mallinson PI, Coupal T, Reisinger C, Chou H, Munk PL, Nicolaou S, et al. Artifacts in dual-energy CT gout protocol: a review of 50 suspected cases with an artifact identification guide. AJR Am J Roentgenol 2014;203:W103–9.10.2214/AJR.13.11396Search in Google Scholar PubMed

34 Ogdie A, Taylor WJ, Weatherall M, Fransen J, Jansen TL, Neogi T, et al. Imaging modalities for the classification of gout: systematic literature review and meta-analysis. Ann Rheum Dis 2015;74:1868–74.10.1136/annrheumdis-2014-205431Search in Google Scholar PubMed PubMed Central

35 Ogdie A, Taylor WJ, Neogi T, Fransen J, Jansen TL, Schumacher HR, et al. Performance of Ultrasound in the Diagnosis of Gout in a Multicenter Study: Comparison With Monosodium Urate Monohydrate Crystal Analysis as the Gold Standard. Arthritis Rheumatol 2017;69:429–38.10.1002/art.39959Search in Google Scholar PubMed PubMed Central

36 Gamala M, Jacobs JWG, Linn-Rasker SF, Nix M, Heggelman BGF, Pasker-de Jong PCM, et al. The performance of dual-energy CT in the classification criteria of gout: a prospective study in subjects with unclassified arthritis. Rheumatology (Oxford) 2020;59:845–51.10.1093/rheumatology/kez391Search in Google Scholar PubMed

37 Christiansen SN, Ostergaard M, Slot O, Fana V, Terslev L. Ultrasound for the diagnosis of gout-the value of gout lesions as defined by the Outcome Measures in Rheumatology ultrasound group. Rheumatology (Oxford) 2021;60:239–49.10.1093/rheumatology/keaa366Search in Google Scholar PubMed

38 Singh JA, Budzik JF, Becce F, Pascart T. Dual-energy computed tomography vs ultrasound, alone or combined, for the diagnosis of gout: a prospective study of accuracy. Rheumatology (Oxford) 2021;60:4861–7.10.1093/rheumatology/keaa923Search in Google Scholar PubMed

39 Chang IC. Surgical versus pharmacologic treatment of intraspinal gout. Clin Orthop Relat Res 2005:106–10.10.1097/01.blo.0000151456.52270.39Search in Google Scholar PubMed

40 Tsai CH, Chen YJ, Hsu HC, Chen HT. Bacteremia coexisting with tophaceous gout of the spine mimicking spondylodiscitis: a case report. Spine (Phila Pa 1976) 2009;34:E106–9.10.1097/BRS.0b013e31818d051aSearch in Google Scholar PubMed

41 Arnold MH, Brooks PM, Savvas P, Ruff S. Tophaceous gout of the axial skeleton. Aust N Z J Med 1988;18:865–7.10.1111/j.1445-5994.1988.tb01647.xSearch in Google Scholar PubMed

42 Gentili A. The advanced imaging of gouty tophi. Curr Rheumatol Rep 2006;8:231–5.10.1007/s11926-996-0030-6Search in Google Scholar PubMed

43 Gerster JC, Landry M, Dufresne L, Meuwly JY. Imaging of tophaceous gout: computed tomography provides specific images compared with magnetic resonance imaging and ultrasonography. Ann Rheum Dis 2002;61:52–4.10.1136/ard.61.1.52Search in Google Scholar PubMed PubMed Central

44 Lee YH, Song GG. Diagnostic accuracy of ultrasound in patients with gout: A meta-analysis. Semin Arthritis Rheum 2018;47:703–9.10.1016/j.semarthrit.2017.09.012Search in Google Scholar PubMed

45 Davies J, Riede P, van Langevelde K, Teh J. Recent developments in advanced imaging in gout. Ther Adv Musculoskelet Dis 2019;11:1759720X19844429.10.1177/1759720X19844429Search in Google Scholar PubMed PubMed Central

46 Ottaviani S, Gill G, Aubrun A, Palazzo E, Meyer O, Dieude P. Ultrasound in gout: a useful tool for following urate-lowering therapy. Joint Bone Spine 2015;82:42–4.10.1016/j.jbspin.2014.03.011Search in Google Scholar PubMed

47 Das S, Goswami RP, Ghosh A, Ghosh P, Lahiri D, Basu K. Temporal evolution of urate crystal deposition over articular cartilage after successful urate-lowering therapy in patients with gout: An ultrasonographic perspective. Mod Rheumatol 2017;27:518–23.10.1080/14397595.2016.1214229Search in Google Scholar PubMed

48 Filippucci E, Iagnocco A, Meenagh G, Riente L, Delle Sedie A, Bombardieri S, et al. Ultrasound imaging for the rheumatologist. Clin Exp Rheumatol 2006;24:1–5.Search in Google Scholar

49 Glazebrook KN, Guimaraes LS, Murthy NS, Black DF, Bongartz T, Manek NJ, et al. Identification of intraarticular and periarticular uric acid crystals with dual-energy CT: initial evaluation. Radiology 2011;261:516–24.10.1148/radiol.11102485Search in Google Scholar PubMed

50 Christiansen SN, Muller FC, Ostergaard M, Slot O, Moller JM, Borgesen HF, et al. Dual-energy CT in gout patients: Do all colour-coded lesions actually represent monosodium urate crystals? Arthritis Res Ther 2020;22:212.10.1186/s13075-020-02283-zSearch in Google Scholar PubMed PubMed Central

51 Pelgrim GJ, van Hamersvelt RW, Willemink MJ, Schmidt BT, Flohr T, Schilham A, et al. Accuracy of iodine quantification using dual energy CT in latest generation dual source and dual layer CT. Eur Radiol 2017;27:3904–12.10.1007/s00330-017-4752-9Search in Google Scholar PubMed PubMed Central

52 Dalbeth N, Doyle AJ. Imaging tools to measure treatment response in gout. Rheumatology (Oxford) 2018; suppl_1:i27–i34.10.1093/rheumatology/kex445Search in Google Scholar PubMed

53 Carr A, Doyle AJ, Dalbeth N, Aati O, McQueen FM. Dual-Energy CT of Urate Deposits in Costal Cartilage and Intervertebral Disks of Patients With Tophaceous Gout and Age-Matched Controls. AJR Am J Roentgenol 2016;206:1063–7.10.2214/AJR.15.15356Search in Google Scholar PubMed

54 Sudol-Szopinska I, Afonso PD, Jacobson JA, Teh J. Imaging of gout: findings and pitfalls. A pictorial review. Acta Reumatol Port 2020;45:20-5.Search in Google Scholar

55 Bonaldi VM, Duong H, Starr MR, Sarazin L, Richardson J. Tophaceous gout of the lumbar spine mimicking an epidural abscess: MR features. AJNR Am J Neuroradiol. 1996;17:1949–52.Search in Google Scholar

56 Nakajima A, Kato Y, Yamanaka H, Ito T, Kamatani N. Spinal tophaceous gout mimicking a spinal tumor. J Rheumatol 2004;31:1459–60.Search in Google Scholar

57 Elgafy H, Liu X, Herron J. Spinal gout: A review with case illustration. World J Orthop 2016;7:766–75.10.5312/wjo.v7.i11.766Search in Google Scholar PubMed PubMed Central

58 Hoffer PB, Genant HK. Radionuclide joint imaging. Semin Nucl Med 1976;6:121–37.10.1016/S0001-2998(76)80041-4Search in Google Scholar

59 Kangasmaa TS, Constable C, Sohlberg AO. Quantitative bone SPECT/ CT reconstruction utilizing anatomical information. EJNMMI Phys 2021;8:2.10.1186/s40658-020-00348-1Search in Google Scholar PubMed PubMed Central

60 Liu T, Liu H, Zhu T. Thoracic spinal cord compression by extradural tophus: a case report and review of the literature. Spinal Cord Ser Cases 2015;1:15015.10.1038/scsandc.2015.15Search in Google Scholar PubMed PubMed Central

61 Cardoso FN, Omoumi P, Wieers G, Maldague B, Malghem J, Lecouvet FE, et al. Spinal and sacroiliac gouty arthritis: report of a case and review of the literature. Acta Radiol Short Rep 2014;3:2047981614549269.10.1177/2047981614549269Search in Google Scholar PubMed PubMed Central

62 Goshen E, Schwartz A, Zwas ST. Chronic tophaceous gout: scintigraphic findings on bone scan. Clin Nucl Med 2000;25:146–7.10.1097/00003072-200002000-00019Search in Google Scholar PubMed

63 Vicente JS, Gomez AL, Moreno RL, Torre JRI, Bernardo LG, Madrid JIR. Lumbar Gout Tophus Mimicking Epidural Abscess with Magnetic Resonance Imaging, Bone, and Gallium Scans. Indian J Nucl Med 2018;33:158–60.10.4103/ijnm.IJNM_139_17Search in Google Scholar PubMed PubMed Central

64 Wang Y, Zha Y, She R, Sun G, Li S, Liu L, et al. (99m)Tc-methylene diphosphonate SPECT/CT imaging of gout spondylitis: a case report. J Int Med Res 2022;50:3000605221129557.10.1177/03000605221129557Search in Google Scholar PubMed PubMed Central

65 Gnanasegaran G, Paycha F, Strobel K, van der Bruggen W, Kampen WU, Kuwert T, et al. Bone SPECT/ CT in Postoperative Spine. Semin Nucl Med 2018;48:410–24.10.1053/j.semnuclmed.2018.06.003Search in Google Scholar PubMed

66 Van den Wyngaert T, Paycha F, Strobel K, Kampen WU, Kuwert T, van der Bruggen W, et al. SPECT/ CT in Postoperative Painful Hip Arthroplasty. Semin Nucl Med 2018;48:425–38.10.1053/j.semnuclmed.2018.05.002Search in Google Scholar PubMed

67 Kampen WU, Westphal F, Van den Wyngaert T, Strobel K, Kuwert T, Van der Bruggen W, et al. SPECT/ CT in Postoperative Foot and Ankle Pain. Semin Nucl Med 2018;48:454–68.10.1053/j.semnuclmed.2018.03.003Search in Google Scholar PubMed

68 Van den Wyngaert T, Palli SR, Imhoff RJ, Hirschmann MT. Cost-Effectiveness of Bone SPECT/ CT in Painful Total Knee Arthroplasty. J Nucl Med 2018;59:1742–50.10.2967/jnumed.117.205567Search in Google Scholar PubMed

69 Murer AM, Hirschmann MT, Amsler F, Rasch H, Huegli RW. Bone SPECT/ CT has excellent sensitivity and specificity for diagnosis of loosening and patellofemoral problems after total knee arthroplasty. Knee Surg Sports Traumatol Arthrosc 2020;28:1029–35.10.1007/s00167-019-05609-wSearch in Google Scholar PubMed

70 Van den Wyngaert T, Elvas F, De Schepper S, Kennedy JA, Israel O. SPECT/ CT: Standing on the Shoulders of Giants, It Is Time to Reach for the Sky! J Nucl Med 2020;61:1284–91.10.2967/jnumed.119.236943Search in Google Scholar PubMed

71 Delcroix O, Robin P, Gouillou M, Le Duc-Pennec A, Alavi Z, Le Roux PY, et al. A new SPECT/CT reconstruction algorithm: reliability and accuracy in clinical routine for non-oncologic bone diseases. EJNMMI Res 2018;8:14.10.1186/s13550-018-0367-7Search in Google Scholar PubMed PubMed Central

72 McCollough CH, Leng S, Yu L, Fletcher JG. Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications. Radiology 2015;276:637–53.10.1148/radiol.2015142631Search in Google Scholar PubMed PubMed Central

73 Desmonts C, Bouthiba MA, Enilorac B, Nganoa C, Agostini D, Aide N. Evaluation of a new multipurpose whole-body CzT-based camera: comparison with a dual-head Anger camera and first clinical images. EJNMMI Phys 2020;7:18.10.1186/s40658-020-0284-5Search in Google Scholar PubMed PubMed Central

74 Bailey DL, Willowson KP. Quantitative SPECT/CT: SPECT joins PET as a quantitative imaging modality. Eur J Nucl Med Mol Imaging 2014;41:S17–2510.1007/s00259-013-2542-4Search in Google Scholar PubMed

75 De Schepper S, Ritt P, Van den Wyngaert T, Kuwert T. Quantitative radionuclide imaging of bone metastases. Q J Nucl Med Mol Imaging 2019;63:129–35.10.23736/S1824-4785.19.03204-7Search in Google Scholar PubMed

76 Bailey DL, Willowson KP. An evidence-based review of quantitative SPECT imaging and potential clinical applications. J Nucl Med 2013;54:83–9.10.2967/jnumed.112.111476Search in Google Scholar PubMed

77 Suh MS, Lee WW, Kim YK, Yun PY, Kim SE. Maximum Standardized Uptake Value of (99m)Tc Hydroxymethylene Diphosphonate SPECT/ CT for the Evaluation of Temporomandibular Joint Disorder. Radiology 2016;280:890–6.10.1148/radiol.2016152294Search in Google Scholar PubMed

78 De Laroche R, Simon E, Suignard N, Williams T, Henry MP, Robin P, et al. Clinical interest of quantitative bone SPECT-CT in the preoperative assessment of knee osteoarthritis. Medicine (Baltimore) 2018;97:e11943.10.1097/MD.0000000000011943Search in Google Scholar PubMed PubMed Central

79 Mohd Rohani MF, Mat Nawi N, Shamim SE, Wan Sohaimi WF, Wan Zainon WMN, Musarudin M, et al. Maximum standardized uptake value from quantitative bone single-photon emission computed tomography/ computed tomography in differentiating metastatic and degenerative joint disease of the spine in prostate cancer patients. Ann Nucl Med 2020;34:39–48.10.1007/s12149-019-01410-4Search in Google Scholar PubMed

80 Kuji I, Yamane T, Seto A, Yasumizu Y, Shirotake S, Oyama M. Skeletal standardized uptake values obtained by quantitative SPECT/ CT as an osteoblastic biomarker for the discrimination of active bone metastasis in prostate cancer. Eur J Hybrid Imaging 2017;1:2.10.1186/s41824-017-0006-ySearch in Google Scholar PubMed PubMed Central

81 Dittmann H, Kaltenbach S, Weissinger M, Fiz F, Martus P, Pritzkow M, et al. The Prognostic Value of Quantitative Bone SPECT/ CT Before (223) Ra Treatment in Metastatic Castration-Resistant Prostate Cancer. J Nucl Med 2021;62:48–54.10.2967/jnumed.119.240408Search in Google Scholar PubMed

82 Han M, Park HC, Kim H, Jo HA, Huh H, Jang JY, et al. Hyperuricemia and deterioration of renal function in autosomal dominant polycystic kidney disease. BMC Nephrol 2014;15:63.10.1186/1471-2369-15-63Search in Google Scholar PubMed PubMed Central

83 Stamp LK, Farquhar H, Pisaniello HL, Vargas-Santos AB, Fisher M, Mount DB, et al. Management of gout in chronic kidney disease: a G-CAN Consensus Statement on the research priorities. Nat Rev Rheumatol 2021;17:633–41.10.1038/s41584-021-00657-4Search in Google Scholar PubMed PubMed Central

84 Stamp LK, Morillon MB, Taylor WJ, Dalbeth N, Singh JA, Lassere M, et al. Variability in the Reporting of Serum Urate and Flares in Gout Clinical Trials: Need for Minimum Reporting Requirements. J Rheumatol 2018;45:419–24.10.3899/jrheum.170911Search in Google Scholar PubMed

85 Richette P, Doherty M, Pascual E, Barskova V, Becce F, Castaneda-Sanabria J, et al. 2016 updated EULAR evidence-based recommendations for the management of gout. Ann Rheum Dis 2017;76:29–42.10.1136/annrheumdis-2016-209707Search in Google Scholar PubMed

86 FitzGerald JD, Dalbeth N, Mikuls T, Brignardello-Petersen R, Guyatt G, Abeles AM, et al. 2020 American College of Rheumatology Guideline for the Management of Gout. Arthritis Care Res (Hoboken) 2020;72:744–60.10.1002/acr.24375Search in Google Scholar PubMed

87 Kielstein JT, Pontremoli R, Burnier M. Management of Hyperuricemia in Patients with Chronic Kidney Disease: a Focus on Renal Protection. Curr Hypertens Rep 2020;22:102.10.1007/s11906-020-01116-3Search in Google Scholar PubMed PubMed Central

88 Matsushita K, Mahmoodi BK, Woodward M, Emberson JR, Jafar TH, Jee SH, et al. Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate. JAMA 2012;307:1941–51.10.1001/jama.2012.3954Search in Google Scholar PubMed PubMed Central

89 Alnazer I, Bourdon P, Urruty T, Falou O, Khalil M, Shahin A, et al. Recent advances in medical image processing for the evaluation of chronic kidney disease. Med Image Anal 2021;69:101960.10.1016/j.media.2021.101960Search in Google Scholar PubMed

90 Park J, Bae S, Seo S, Park S, Bang JI, Han JH, et al. Measurement of Glomerular Filtration Rate using Quantitative SPECT/CT and Deep-learning-based Kidney Segmentation. Sci Rep 2019;9:4223.10.1038/s41598-019-40710-7Search in Google Scholar PubMed PubMed Central

91 Werner RA, Pomper MG, Buck AK, Rowe SP, Higuchi T. SPECT and PET Radiotracers in Renal Imaging. Semin Nucl Med 2022;52:406–18.10.1053/j.semnuclmed.2021.12.003Search in Google Scholar PubMed

92 Meisinger C, Koenig W, Baumert J, Doring A. Uric acid levels are associated with all-cause and cardiovascular disease mortality independent of systemic inflammation in men from the general population: the MONICA/KORA cohort study. Arterioscler Thromb Vasc Biol 2008;28:1186–92.10.1161/ATVBAHA.107.160184Search in Google Scholar PubMed

93 Muiesan ML, Salvetti M, Virdis A, Masi S, Casiglia E, Tikhonoff V, et al. Serum uric acid, predicts heart failure in a large Italian cohort: search for a cut-off value the URic acid Right for heArt Health study. J Hypertens 2021;39:62–9.10.1097/HJH.0000000000002589Search in Google Scholar PubMed

94 Tamariz L, Harzand A, Palacio A, Verma S, Jones J, Hare J. Uric acid as a predictor of all-cause mortality in heart failure: a meta-analysis. Congest Heart Fail 2011;17:25–30.10.1111/j.1751-7133.2011.00200.xSearch in Google Scholar PubMed

95 Tamariz L, Agarwal S, Soliman EZ, Chamberlain AM, Prineas R, Folsom AR, et al. Association of serum uric acid with incident atrial fibrillation (from the Atherosclerosis Risk in Communities [ARIC] study). Am J Cardiol 2011;108:1272–6.10.1016/j.amjcard.2011.06.043Search in Google Scholar PubMed PubMed Central

96 Williams B, Mancia G, Spiering W, Rosei EA, Azizi M, Burnier M, et al. [2018 ESC/ESH Guidelines for the management of arterial hypertension]. Kardiol Pol 2019;77:71–159.10.5603/KP.2019.0018Search in Google Scholar PubMed

97 Klauser AS, Halpern EJ, Strobl S, Gruber J, Feuchtner G, Bellmann-Weiler R, et al. Dual-Energy Computed Tomography Detection of Cardiovascular Monosodium Urate Deposits in Patients With Gout. JAMA Cardiol 2019;4:1019–28.10.1001/jamacardio.2019.3201Search in Google Scholar PubMed PubMed Central

98 Lee KA, Ryu SR, Park SJ, Kim HR, Lee SH. Assessment of cardiovascular risk profile based on measurement of tophus volume in patients with gout. Clin Rheumatol 2018;37:1351–8.10.1007/s10067-017-3963-4Search in Google Scholar PubMed

99 Sugihara Y, Fukushima Y, Kumita SI, Takano H, Shimizu W. Diagnostic performance of hybrid cardiac SPECT/CT imaging for patients with takotsubo cardiomyopathy. Eur J Hybrid Imaging 2018;2:5.10.1186/s41824-017-0023-xSearch in Google Scholar PubMed PubMed Central

Published Online: 2023-03-19

© 2023 Yan Wang, Yan Zha, Lin Liu, Ang Liao, Ziqiang Dong, Neil Roberts, Yaying Li, published by De Gruyter on behalf of Scholar Media Publishing

This work is licensed under the Creative Commons Attribution 4.0 International License.

Downloaded on 27.9.2025 from https://www.degruyterbrill.com/document/doi/10.2478/jtim-2022-0066/html?lang=en
Scroll to top button