The clinical value of spectral CT combined with targeted scanning technology in the diagnosis of invasive ground glass nodules in pulmonary adenocarcinoma.
Bing Lan, Jialin Zang, Bo Liu, Li Wang, Yuguang Wang, Bo Li, Chunlei Zheng, Bin Li, Tianyu Zhang
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引用次数: 0
Abstract
BackgroundPulmonary adenocarcinoma, a predominant form of lung cancer, is characterized by diverse histopathological subtypes, including ground-glass nodules (GGNs), which may represent different degrees of malignancy. The accurate differentiation between invasive and non-invasive GGNs is paramount, as it significantly influences clinical management and treatment strategies.ObjectiveTo evaluate the clinical efficacy of spectral CT combined with targeted scanning in diagnosing invasive GGNs in pulmonary adenocarcinoma.MethodsA retrospective analysis of 120 patients with GGNs, who underwent spectral CT and targeted scanning at the Second Affiliated Hospital of Qiqihar Medical College (Nov 2021 - Dec 2022), was conducted. Patients were categorized based on postoperative pathology into non-invasive (66) and invasive (54) groups. Imaging features and values of various indicators including water concentration (WC), spectral curve slope (k value), and iodine concentration across different phases were analyzed and compared. Key independent factors for invasive GGN and the predictive value of the combined imaging technique were explored.ResultsThe invasive lesion group showed a higher incidence of fissure sign, spiculation sign, and bronchial inflation sign, along with increased values of WC, WCAP, and WCVP across phases (p < 0.05). These factors were identified as main influencers of invasive GGN, with OR values >1. The combined imaging parameters achieved an AUC of 0.914, sensitivity of 0.925, and specificity of 0.880, significantly outperforming individual indicators.ConclusionFissure sign, spiculation sign, bronchial inflation sign, WC, WCAP, and WCVP effectively predict invasive GGNs in pulmonary adenocarcinoma. Their combined application enhances predictive accuracy.
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