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肺切除术后孤立性肺结节患者恶性肿瘤的预测因素。

Predictors of malignancy in patients with solitary pulmonary nodules undergoing pulmonary resection.

机构信息

Department of Thoracic Surgery, Istanbul University Faculty of Medicine, Istanbul, Turkey.

Department of Radiology, Istanbul University Faculty of Medicine, Istanbul, Turkey.

出版信息

Clin Respir J. 2022 May;16(5):361-368. doi: 10.1111/crj.13489. Epub 2022 Apr 26.

Abstract

BACKGROUND

The management of a solitary pulmonary nodule is a challenging issue in pulmonary disease. Although many factors have been defined as predictors for malignancy in solitary pulmonary nodules, the accurate diagnosis can only be established with the permanent histological diagnosis.

OBJECTIVE

We tried to clarify the possible predictors of malignancy in solitary pulmonary nodules in patients who had definitive histological diagnosis.

METHODS

We made a retrospective study to collect the data of patients with solitary pulmonary nodules who had histological diagnosis either before or after surgery. We made a statistical analysis of both the clinic and radiological features of these nodules with respect to malignancy both in contingency tables and with logistic regression analysis.

RESULTS

We had a total of 223 patients with a radiological diagnosis of solitary pulmonary nodule. Age, smoking status and pack years of smoking, maximum standardized uptake value (SUVmax), and radiological features such as solid component, spiculation, pleural tag, lobulation, calcification, and higher density were significant predictors of malignancy in contingency tables. Age, smoking status and smoking (pack/year), SUVmax, and radiological features including spiculation, pleural tag, lobulation, calcification, and higher density were the significant predictors in univariate analysis. However, multivariate analysis revealed only SUVmax greater than 2.5 (p < 0.0001), spiculation (p = 0.009), and age older than 61 years (p = 0.015) as the significant predictors for malignancy.

CONCLUSION

Age, SUVmax, and spiculation are the independent predictors of malignancy in patients with solitary pulmonary nodules.

摘要

背景

孤立性肺结节的管理是肺部疾病中的一个具有挑战性的问题。尽管已经确定了许多因素可作为孤立性肺结节恶性的预测指标,但只有通过永久性组织学诊断才能确定准确的诊断。

目的

我们试图阐明具有明确组织学诊断的孤立性肺结节患者中恶性肿瘤的可能预测指标。

方法

我们进行了一项回顾性研究,收集了术前或术后有组织学诊断的孤立性肺结节患者的数据。我们使用列联表和逻辑回归分析对这些结节的临床和影像学特征与恶性肿瘤进行了统计学分析。

结果

我们共有 223 名患者的影像学诊断为孤立性肺结节。年龄、吸烟状况和吸烟包年数、最大标准化摄取值(SUVmax)以及实性成分、分叶状、胸膜牵拉、切迹、钙化和高密度等影像学特征是列联表中恶性肿瘤的显著预测指标。年龄、吸烟状况和吸烟(包/年)、SUVmax 以及包括分叶状、胸膜牵拉、切迹、钙化和高密度在内的影像学特征在单因素分析中是显著的预测指标。然而,多变量分析仅显示 SUVmax 大于 2.5(p<0.0001)、分叶状(p=0.009)和年龄大于 61 岁(p=0.015)是恶性肿瘤的显著预测指标。

结论

年龄、SUVmax 和分叶状是孤立性肺结节患者恶性肿瘤的独立预测指标。

相似文献

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[Establishment of A Clinical Prediction Model of Solid Solitary Pulmonary Nodules].[实性孤立性肺结节临床预测模型的建立]
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