{"doi":"10.1002/acr.25312","title":"Frequently Encountered Artifacts in the Application of <scp>Dual‐Energy</scp> Computed Tomography to Cardiovascular Imaging for Urate Crystals in Gout: A <scp>Matched‐Control</scp> Study","abstract":"OBJECTIVE: There is surging interest in using dual-energy computed tomography (DECT) to identify cardiovascular monosodium urate (MSU) deposits in patients with gout. We sought to examine the prevalence and characterization of cardiovascular DECT artifacts using non-electrocardiogram (EKG)-gated DECT pulmonary angiograms. METHODS: We retrospectively reviewed non-EKG-gated DECT pulmonary angiograms performed on patients with and without gout at a single academic center. We noted the presence and locations of vascular green colorization using the default postprocessing two-material decomposition algorithm for MSU. The high- and low-energy grayscale images and advanced DECT measurements were used to determine whether they were true findings or artifacts. We classified artifacts into five categories: streak, contrast medium mixing, misregistration due to motion, foreign body, and noise. RESULTS: Our study included CT scans from 48 patients with gout and 48 age- and sex-matched controls. The majority of patients were male with a mean age of 67 years. Two independent observers attributed all areas of vascular green colorization to artifacts. The most common types of artifacts were streak (56% vs 57% between patients and controls, respectively) and contrast medium mixing (51% vs 65%, respectively). Whereas some of the default DECT measurements of cardiovascular green colorization were consistent with values reported for subcutaneous tophi, advanced DECT measurements were not consistent with that of tophi. CONCLUSION: Artifacts that could be misconstrued as cardiovascular MSU deposits were commonly identified in patients with and without gout on non-EKG-gated DECT pulmonary angiograms. These artifacts can inform future vascular DECT studies on patients with gout to minimize false-positive findings.","journal":"Arthritis Care & Research","year":2024,"id":455292,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":6,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.963,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1279125,"name":"Sterling Ellis Eide","orcid":"0000-0001-6645-7693","position":1,"is_corresponding":false},{"id":1086712,"name":"Florian A. Huber","orcid":"0000-0001-6317-4815","position":2,"is_corresponding":false},{"id":631871,"name":"F. Joseph Simeone","orcid":"0000-0003-2779-7534","position":3,"is_corresponding":false},{"id":374850,"name":"Brian Ghoshhajra","orcid":"0000-0002-3865-3432","position":4,"is_corresponding":false},{"id":1279126,"name":"Kam Shojania","orcid":"0000-0003-2525-3744","position":5,"is_corresponding":false},{"id":1279127,"name":"Savvas Nicolaou","orcid":"0000-0002-4203-6605","position":6,"is_corresponding":false},{"id":703957,"name":"Fabio Becce","orcid":"0000-0001-8444-8504","position":7,"is_corresponding":false},{"id":236763,"name":"Hyon K. Choi","orcid":"0000-0002-2862-0442","position":8,"is_corresponding":false},{"id":286131,"name":"Chio Yokose","orcid":"0000-0001-7557-3303","position":0,"is_corresponding":true}],"reference_count":26,"raw_metadata":null,"created_at":"2026-07-19T02:03:17.458329Z","pmid":"38317327","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}