ArticleEuropean radiology2026
Temporal bone dual-layer detector dual-energy computed tomography for identifying cholesteatoma.
Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Precision imaging biomarkers for gout: artifact-specific spectral CT parameters for personalized differentiation of tophi in a prospective study.Therapeutic advances in musculoskeletal disease · 2026Article
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6 authors.
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Abstract
objectivesCholesteatomas (CSs) are locally aggressive and can infiltrate adjacent structures as they expand. This study aimed to establish a straightforward scoring system using dual-layer detector dual-energy CT (DL-DECT) to improve the identification of cholesteatomas in patients. MATERIALS AND
methodsBetween August 2023 and July 2024, 871 patients with soft tissue density shadows in the ear region who underwent DL-DECT examination were retrospectively enrolled at our institute. Surgical treatments followed by pathological examinations were performed. Based on pathological findings, the lesions were classified into cholesteatoma (CS) and non-cholesteatoma (non-CS) groups. The diagnostic performance of anatomical and quantitative parameters derived from DL-DECT was evaluated using receiver operating characteristic (ROC) curve analysis. Logistic regression was applied to develop a diagnostic scoring system.
resultsA total of 87 patients (median age, 51 years; 45 men and 42 women) with suspected temporal bone CS were included, comprising 44 CS cases and 43 non-CS cases. The effective atomic number (Zeff) demonstrated the highest diagnostic accuracy (area under the curve [AUC] = 0.786), followed by the slope of the energy spectral curve (AUC = 0.784), scutum destruction (AUC = 0.759), and CT40 keV (AUC = 0.724). Logistic regression identified two significant predictors, which were incorporated into the scoring system. When the system score reached 2 points (Zeff ≤ 7.12 accompanied by scutum destruction), the AUC in the ROC analysis reached 0.868 (95% confidence interval: 0.778-0.931), significantly outperforming each individual parameter (all p < 0.05).
conclusionThe DL-DECT-derived scoring system serves as an innovative imaging marker for detecting CSs. KEY POINTS: Question Accurate differentiation between CSs and non-CSs is critical for selecting surgical approaches. However, high-resolution CT demonstrates limited discriminatory power. Findings A straightforward diagnostic scoring system incorporating Zeff ≤ 7.12 and scutum destruction was developed to efficiently identify patients with CS. Clinical relevance This scoring system may facilitate the early identification of CS, potentially improving patient outcomes through timely intervention.
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