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作 者:罗雪莲[1] 查诚[1] 姚雯婷 孙娜 朱胜康 Luo Xuelian;Zha Cheng;Yao Wenting;Sun Na;Zhu Shengkang(Department of Medicine,Tongling Polytechnic,Tongling,Anhui 244000,China;Department of Imaging,Tongling Municipal Hospital,Tongling,Anhui 244000,China)
机构地区:[1]铜陵职业技术学院医学系,安徽铜陵244000 [2]铜陵市立医院影像科,安徽铜陵244000
出 处:《大理大学学报》2024年第10期62-66,共5页Journal of Dali University
基 金:高等学校省级质量工程项目(2021tszy065)。
摘 要:目的:探讨薄层CT影像学特征在肺结节性质鉴别中的诊断价值。方法:回顾性分析100例肺结节患者的临床资料,依据病理检测结果将其分为良性组和恶性组,所有患者均接受薄层CT影像学检查。观察并比较2组患者的结节征象、分级评估结果、薄层CT影像学特征出现情况及薄层CT影像学指标;通过Logistic回归分析讨论各指标对肺结节良恶性诊断的影响,通过受试者操作特征曲线(ROC曲线)分析各指标对肺结节良恶性诊断的价值。结果:2组患者在肺结节分级系统评估结果、薄层CT影像学特征、结节相关指标方面差异均有统计学意义(P<0.05)。Logistic回归分析结果显示,肺结节分级、结节最大直径、平均CT值、最大CT值是影响恶性肺结节诊断的独立因素(P<0.05),随着分级级别升高和薄层CT影像学相关指标增加,恶性肺结节的确诊风险增加。ROC曲线分析结果表明,肺结节分级、结节最大直径、平均CT值、最大CT值在肺结节良恶性诊断中均具有明确的诊断价值,尤其是联合预测因子的诊断效能最为显著。结论:薄层CT影像学特征对肺结节性质鉴别具有重要的临床意义,综合考虑肺结节分级、结节最大直径、平均CT值、最大CT值能够更准确地判断肺结节的性质,为医生提供更全面的临床参考。Objective:To explore the diagnostic value of thin-section CT imaging features in discriminating the nature of pulmonary nodules.Methods:Clinical data of 100 patients with pulmonary nodules were retrospectively analyzed.Based on the pathological examination results,they were divided into benign group and malignant group.All patients underwent thin-section CT imaging examination.The nodular signs,grading assessment results,composition of thin-section CT imaging features,and thin-section CT imaging indices were observed and compared between the two groups.The influence of each index on the diagnosis of benign and malignant pulmonary nodules was discussed through Logistic regression analysis,and the diagnostic value of each index for benign and malignant pulmonary nodules was analyzed by receiver operating characteristic curve(ROC curve).Results:There were significant differences between the two groups of patients in terms of pulmonary nodule grading system assessment results,thin-section CT imaging features,and nodule-related indices(P<0.05).The results of Logistic regression analysis showed that pulmonary nodule grading,maximum nodule diameter,average CT value,and maximum CT value were independent factors affecting the diagnosis of malignant pulmonary nodules(P<0.05).With the increase of grading level and thin-section CT imaging-related indices,the risk of diagnosing malignant pulmonary nodules increased.The ROC curve analysis results showed that pulmonary nodule grading,maximum nodule diameter,average CT value,and maximum CT value all had clear diagnostic value in discriminating the nature of pulmonary nodules,especially when used in combination.Conclusion:Thin-section CT imaging features have important clinical significance in discriminating the nature of pulmonary nodules.Considering pulmonary nodule grading,maximum nodule diameter,average CT value,and maximum CT value comprehensively can more accurately determine the nature of pulmonary nodules,providing more comprehensive clinical reference for doctors.
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