18F-FDG PET/CT Features as a Predictor for Lymphovascular Invasion in Patients with Solid Stage I Lung Adenocarcinoma
- VernacularTitle:18F-FDG PET/CT 影像学特征对I 期实性肺腺癌脉管侵犯的预测价值
- Author:
Xiao-bei DUAN
1
;
Xiang-meng CHEN
2
;
Bin-hao HUANG
1
;
Wei-qiang ZOU
1
;
Gui-lin QIN
1
;
Li-xia SUN
3
Author Information
1. Department of Nuclear Medicine, The Affiliated Jiangmen Hospital of Sun Yat-sen University, Jiangmen 529070, China
2. Department of Radiology, The Affiliated Jiangmen Hospital of Sun Yat-sen University, Jiangmen 529070, China
3. Department of Pathology, The Affiliated Jiangmen Hospital of Sun Yat-sen University, Jiangmen 529070, China
- Publication Type:Journal Article
- Keywords:
18F-FDG PET/CT;
lung adenocarcinoma;
computed tomography;
lymphvascular invasion;
SUVmax
- From:
Journal of Sun Yat-sen University(Medical Sciences)
2020;41(4):649-656
- CountryChina
- Language:Chinese
-
Abstract:
【Objective】 To evaluate the clinical value of 18F-FDG PET/CT features in differentiating lymphovascular infiltration in patients with solid stage I lung adenocarcinoma. 【Methods】 From January 2017 to September 2019, a total of 86 patients [43 males and 43 females; age(59.9 ± 10.3) years; age range: 28-81 years] with surgically and pathologically confirmed stage I lung adenocarcinomas were included. All patients received 18F-FDG PET/CT examination preoperatively and were divided into positive and negative groups according to the histopathological lymphovascular infiltration status. Patient gender, age, lesion location, HRCT features(size, sharp, lobulated sign, spiculated sign, bubble lucency, air bronchogram sign, pleural traction and para-tumor emphysema) and SUVmax(maximum of standard uptake value) were recorded and compared using univariate analysis between lymphovascular infiltration positive and negative groups, respectively. Logistic regression analysis was used to establish a predictive model between PET/CT parameters and lymphovascular infiltration status. Receiver operating characteristic(ROC) analysis was performed to assess the diagnostic performance and determined the cutoff values. 【Results】 There were 12 cases [5 males and 7 females; age: (59.0±8.3) years] in the lymphovascular infiltration positive group and 74 cases [38 males and 46 females; age: (60.1±10.6) years] in the negative group. Significant statistical differences were shown in lesion size、sharp and SUVmax between the two groups (Z = -2.505, P = 0.012; P = 0.048; t = -3.625, P = 0.003). SUVmax was an independent risk factor for positive in multivariation logistic regression analysis(OR value: 1.484; 95%CI: 1.195-1.843; P = 0.000). The optimum cut-off value for positive was greater than 7.75 mm in the ROC curve analysis and the area under curve(AUC), sensitivity, specificity and accuracy was 0.840, 75.0%, 79.7% and 79.1%, respectively. 【Conclusions】 The PET/CT characteristics may be useful in differentiating lymphovascular infiltration status in patients with solid stage I lung adenocaricinoma. SUVmax was an independent risk factor and greater than 7.75 were more likely to be lymphovascualr infiltration, which will be helpful for selection of treatment pattern.
