The predictive value of 18F-FDG PET-CT in the conversion from thoracoscopic lobectomy to thoracotomy for non-small cell lung cancer
10.3760/cma.j.cn115355-20211029-00489
- VernacularTitle:18F-FDG PET-CT预测非小细胞肺癌胸腔镜肺叶切除中转开胸手术的效果
- Author:
Rui XU
1
;
Liping FU
;
Honglei LI
;
Lijie YIN
;
Meng WANG
;
Jie LIU
;
Guangliang QIANG
Author Information
1. 中日友好医院核医学科，北京 100029
- Keywords:
Carcinoma, non-small-cell lung;
Positron-emission tomography;
Tomography, X-ray computed;
Thoracotomy;
Thoracoscopes;
ROC curve;
Risk factors
- From:
Cancer Research and Clinic
2022;34(5):352-357
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the predictive value of 18F-FDG PET-CT in the conversion from thoracoscopic lobectomy to thoracotomy for non-small cell lung cancer (NSCLC). Methods:The clinical data, CT and PET-CT images of 193 patients with primary NSCLC undergoing thoracoscopic surgery from January 2014 to June 2021 at China-Japan Friendship Hospital were retrospectively analyzed. All patients were divided into 45 cases who were converted to thoracotomy (the conversional group) and 148 cases who were not converted to thoracotomy (the non-conversional group). Univariate analysis was performed on clinicopathological characteristics and image parameters. Multivariate logistic regression was used to analyze the factors affecting the conversion to thoracotomy. Taking the final conversion to thoracotomy or not as the gold standard, the predictive effect of variables in the conversion to thoracotomy was analyzed through the receiver operating characteristic (ROC) curve. Delong test was used to compare the area under the curve (AUC) predicted by all variables.Results:In the conversional group, the proportion of peribronchial lymph node (PLN), peribronchial cuffs of soft (PCS), pleural calcification, pulmonary nodule calcification, PLN or PCS calcification or increased density on chest CT was higher than that in the non-conversional group (all P<0.05); and the maximum standardized uptake value (SUV max) of PET in the conversional group was higher compared with that in the non-conversional group ( P<0.001). Univariate logistic regression analysis suggested age ( OR = 4.663,95% CI 2.191- 9.923, P < 0.001) and PLN or PCS density of chest CT scan ( OR = 2.824, 95% CI 1.791-7.303, P < 0.001) were independent influencing factors of the conversion from thoracoscopic lobectomy to thoracotomy. ROC analysis showed that the effect of the conversion to thoracotomy predicted by the combination of 18F-FDG PET and chest CT [AUC = 0.891 (95% CI 0.831-0.951); the optimal cut-off value of SUV max and CT was 3.45, 70 Hu: the sensitivity was 84.4%, the specificity was 83.8%] was better than that by chest CT alone [AUC = 0.678 (95% CI 0.591-0.766); the optimal cut-off value of CT was 70 Hu: the sensitivity was 62.2%, the specificity was 62.8%; P < 0.001] and by age [AUC = 0.625 (95% CI 0.532-0.719); the optimal cut-off value was 65.5 years: the sensitivity was 75.6%, the specificity was 60.1%; P < 0.001]. Conclusions:PLN or PCS density on chest scan and age are valuable in predicting the conversion from thoracoscopic lobectomy to thoracotomy for NSCLC patients. The combination of PET and CT has an additional role in predicting the conversion to thoracotomy during thoracoscopic lobectomy.
