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Comparative Study
. 2025 Aug;32(8):4903-4912.
doi: 10.1016/j.acra.2025.04.036. Epub 2025 May 9.

Oxygen-Enhanced ZTE-MRI for Pulmonary Nodule Assessment: A Comparative Study with CT

Affiliations
Comparative Study

Oxygen-Enhanced ZTE-MRI for Pulmonary Nodule Assessment: A Comparative Study with CT

Tian-Cai Yan et al. Acad Radiol. 2025 Aug.

Abstract

Background: Frequent computed tomography (CT) scans for pulmonary nodule monitoring (every 3, 6, and 12 months) lead to increased radiation exposure and a potential risk of malignancy. Although lung magnetic resonance imaging (MRI) is gradually approaching CT in terms of performance, the effectiveness of zero-echo-time (ZTE) sequences remains to be fully optimized, particularly in terms of diagnostic accuracy under the Lung-RADS.

Objective: This study aimed to evaluate the feasibility of oxygen-enhanced (OE) ZTE-MRI at varying oxygen concentrations (21% and 100%) for both the subjective and objective assessment of pulmonary nodules. It further explored the potential of OE-ZTE-MRI in detecting nodules, its diagnostic utility in Lung-RADS classification, and its role in evaluating malignant potential.

Methods: A total of 68 participants who underwent CT, ZTE-MRI, or OE-ZTE-MRI, were enrolled in this study. Quantitative MRI parameters (signal-to-noise ratio [SNR] and contrast-to-noise ratio [CNR]) were used to evaluate image quality. Lung nodule detection and Lung-RADS classification were performed by two radiologists independently using observer-based scoring of structural features: nodule type (solid nodule [SN], part-solid nodule [PSN], and ground-glass nodule [GGN]), and nodule size (measured manually on CT, ZTE-MRI, and OE-ZTE-MRI). Statistical analyses included the Wilcoxon signed-rank test, percentage consistency, kappa values, intraclass correlation coefficient (ICC), Spearman`s correlation, and Bland-Altman analysis. Statistical significance was set at p < 0.05.

Results: Among the 68 patients (80 nodules; 57.2 ± 10.7 years; 27 males), OE-ZTE-MRI demonstrated a significantly higher SNR (p < 0.05) and superior qualitative scoring compared to ZTE-MRI. The nodule detection rate for OE-ZTE-MRI was 87.5%, with a diagnostic performance comparable to that of CT for assessing nodule diameter (ICC: 0.997; r = 0.994). OE-ZTE-MRI showed a high agreement with CT in nodule characterization (kappa = 0.789) and Lung-RADS (kappa = 0.756). Additionally, OE-ZTE-MRI exhibited strong inter-observer consistency in nodule size measurements.

Conclusion: OE-ZTE-MRI, which incorporates oxygen concentration adjustments, outperformed conventional ZTE-MRI in both subjective and objective evaluations. It achieves diagnostic performance comparable to that of CT in terms of nodule size. According to the Lung-RADS classification, OE-ZTE-MRI is gradually approaching the same diagnostic accuracy as CT.

Keywords: CT; Lung-RADS; Pulmonary nodules; ZTE.

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Conflict of interest statement

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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