Prediction of Postoperative Respiratory Complications after Lobectomy in Lung Cancer Patients with COPD by Quantitative Image Analysis: A Historical Cohort Study

定量图像分析预测肺癌合并慢性阻塞性肺疾病患者肺叶切除术后呼吸系统并发症:一项历史性队列研究

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Abstract

PURPOSE: We examined whether preoperative assessment of percentage of low attenuation area (LAA%) on the non-resected side can predict postoperative respiratory complications (PRC) after lobectomy. MATERIALS AND METHODS: We conducted a historical cohort study of 217 smokers (175 males and 42 females) who underwent lobectomy for primary lung cancer at our hospital between January 2014 and March 2021. First, the relationship between LAA% and respiratory function parameters (RFPs) calculated for both the bilateral and non-resected sides was used to estimate the most effective patient group. Next, multivariate analyses of the relationship between LAA% of the non-resected side and PRC were performed using logistic regression analysis after adjusting for basic patient attributes and respiratory function. RESULTS: A correlation was found between LAA% and RFP in smoking males. Multivariate analysis showed a strong relationship between model 3, adjusted for basic patient attributes and lung function factors, and PRC (odds ratio, 2.43; 95% confidence interval, 1.05-5.63). CONCLUSION: LAA% of the non-resected side suggested that it may be able to predict the occurrence of PRC after lung cancer lobectomy.

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