Evidence map›Paper›PMID 39562365›Full record

ArticleEuropean radiology2025

Performance of novel multiparametric second-generation dual-layer spectral detector CT in gouty arthritis.

Meng Li, Hui Zhang, Jia-Ni Liu, Fei Zhong, Song-Yuan Zheng, Jing Zhang, Shi-Xian Chen, Rui-Feng Lin, Kang-Yu Zhang, Xiao-Min Liu and 2 more

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Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Meng Li *Department of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Hui Zhang *Department of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jia-Ni Liu *Department of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Fei ZhongDepartment of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Song-Yuan ZhengDepartment of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jing ZhangDepartment of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Shi-Xian ChenDepartment of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Rui-Feng LinDepartment of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Kang-Yu ZhangDepartment of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xiao-Min LiuPhilips (China) Investment Co. Ltd., Guangzhou, China.
Yi-Kai XuDepartment of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Juan LiDepartment of Rheumatology and Immunology, Nanfang Hospital, Southern Medical University, Guangzhou, China. lijuan@smu.edu.cn.ORCID http://orcid.org/0000-0002-2977-2966

Funding

Basic and Applied Basic Research Foundation of Guangdong Province No.2021A1515220039Guangzhou Science and Technology Fund No.202201011053
6 · The paper itself

Abstract

objectivesThis study aimed to compare the performance of different dual-energy computed tomography (DECT) technologies in detecting monosodium urate (MSU) crystals and evaluate the potential clinical value of novel second-generation dual-layer spectral detector CT (dlDECT) in gouty arthritis.

methodsUsing data collected from a tertiary hospital, we examined the diagnostic accuracy of different DECT technologies for the diagnosis of MSU. We used two standards: (1) demonstration of MSU crystals in synovial fluid (gold) and (2) 2015 ACR/EULAR gout classification criteria (silver). Furthermore, six novel spectral parameters derived from dlDECT were quantitatively calculated and analyzed for MSU diagnostic efficiency.

resultsOf the 243 patients with 387 joints, 68 (27.98%) had synovial fluid analysis. Compared with the gold standard, MSU diagnostic accuracy statistics for dlDECT, dual-source DECT (dsDECT) and rapid kilovolt peak switching DECT (rsDECT) were as follows: area under the curve (AUC): 0.85, 0.80 and 0.75, respectively. Findings were replicated compared with the silver standard. Multiparametric analysis in dlDECT demonstrated the highest MSU detection rate (92.86%), significantly higher than rsDECT (42.08%) and dsDECT (85.80%). Among novel parameters in dlDECT, Calcium-suppressed index 25 (CaSupp-I 25) exhibited the best performance in distinguishing materials (MSU, muscle, and bone), with an AUC of 0.992. The differentiation was also aided by histograms, scatter plots, and attenuation curves.

conclusionThe novel dlDECT is likely not inferior to other DECT technologies in MSU detection, especially its spectral parameter CaSupp-I 25. Multiparameter analysis showed the potential value for detecting MSU crystals in gouty arthritis, providing valuable clinical insights for gout diagnosis. KEY POINTS: Question The performance of different DECT technologies in detecting monosodium urate (MSU), and the value of dual-layer spectral detector CT (dlDECT) in gouty arthritis remains unclear. Findings The dlDECT was likely not inferior to other DECT technologies in MSU detection, and its multiparametric analysis provided valuable information for MSU diagnosis. Clinical relevance Novel dlDECT may improve the accurate detection of MSU crystals in gouty arthritis compared to other DECT technologies, providing valuable clinical insights and potentially improving patient outcomes for more precise gout diagnosis.

Indexed as

Arthritis, GoutyTomography, X-Ray ComputedAdultAgedFemaleHumansMaleMiddle AgedReproducibility of ResultsSensitivity and SpecificitySynovial FluidUric AcidUric AcidComparative studyDual energyGoutMultidetector computed tomographyUric acid

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.