Niu Rong, Wang Yuetao, Shao Xiaoliang, Wang Jianfeng, Jiang Zhenxing, Xu Mei, Shi Yunmei, Lu Peiqi, Wang Xiaosong, Shao Xiaonan
Abstract
ObjectiveTo investigate the correlation between the SUV index (SUVmax of the lesion/SUVmean of the liver) in 18F-FDG PET/CT imaging and the invasiveness of early lung adenocarcinoma presenting as ground-glass nodule (GGN).
MethodsFrom January 2012 to March 2020, 167 GGN patients (49 males, 118 females; age: (61.5±9.0) years) with early lung adenocarcinoma who underwent PET/CT imaging in Changzhou First People′s Hospital were retrospectively enrolled. The image parameters including the GGN number, location, type, edge, shape, abnormal bronchus sign, vacuole sign, pleural depression, vessel convergence sign, GGN diameter (DGGN), solid component diameter (Dsolid), consolidation to tumor ratio (CTR, Dsolid/DGGN), CT values (CT value of ground-glass opacity (CTGGO), CT value of lung parenchyma (CTLP), ΔCTGGO-LP (CTGGO-CTLP)) and SUV index were analyzed. Single and multivariate logistic regressions were used to analyze the correlation between SUV index and infiltration. The generalized additive model was used for curve fitting, and the piece-wise regression model was used to further explain the nonlinearity.
ResultsIn 189 GGNs, invasive adenocarcinoma accounted for 85.2% (161/189). Single logistic regression showed that the GGN number, type, shape, edge, abnormal bronchus sign, pleural depression, vessel convergence sign, DGGN, Dsolid, CTR, CTGGO, ΔCTGGO-LP and SUV index were related factors of infiltration (odds ratio (OR) values: 0.396-224.083, P<0.001 or P<0.05). After fully adjusting for confounding factors, SUV index was significantly correlated with increased risk of invasion (OR=2.162 (95% CI: 1.191-3.923), P=0.011). Curve fitting showed that the SUV index was non-linearly related to the risk of infiltration, and the risk of infiltration increased significantly only when the SUV index was greater than 0.43 (OR=3.509 (95% CI: 1.429-8.620), P=0.006). The correlation between SUV index and infiltration had no interaction between age, vacuoles, pleural depression and CTR subgroups (all P>0.05).
ConclusionsSUV index is an independent factor related to the invasiveness of early lung adenocarcinoma. The higher the SUV index, the greater the risk of invasion; but the two are not simply linearly correlated.
Key words:
Lung neoplasms; Adenocarcinoma; Neoplasm invasiveness; Positron-emission tomography; Tomography, X-ray computed; Fluorodeoxyglucose F18
Contributor Information
Niu Rong
Department of Nuclear Medicine, the Third Affiliated Hospital of Soochow University, Changzhou First People′s Hospital
Changzhou Key Laboratory of Molecular Imaging, Changzhou 213003, China
Wang Yuetao
Department of Nuclear Medicine, the Third Affiliated Hospital of Soochow University, Changzhou First People′s Hospital
Changzhou Key Laboratory of Molecular Imaging, Changzhou 213003, China
Shao Xiaoliang
Department of Nuclear Medicine, the Third Affiliated Hospital of Soochow University, Changzhou First People′s Hospital
Changzhou Key Laboratory of Molecular Imaging, Changzhou 213003, China
Wang Jianfeng
Department of Nuclear Medicine, the Third Affiliated Hospital of Soochow University, Changzhou First People′s Hospital
Changzhou Key Laboratory of Molecular Imaging, Changzhou 213003, China
Jiang Zhenxing
Department of Radiology, the Third Affiliated Hospital of Soochow University, Changzhou First People′s Hospital, Changzhou 213003, China
Xu Mei
Department of Nuclear Medicine, the Third Affiliated Hospital of Soochow University, Changzhou First People′s Hospital
Changzhou Key Laboratory of Molecular Imaging, Changzhou 213003, China
Shi Yunmei
Department of Nuclear Medicine, the Third Affiliated Hospital of Soochow University, Changzhou First People′s Hospital
Changzhou Key Laboratory of Molecular Imaging, Changzhou 213003, China
Lu Peiqi
Department of Nuclear Medicine, the Third Affiliated Hospital of Soochow University, Changzhou First People′s Hospital
Changzhou Key Laboratory of Molecular Imaging, Changzhou 213003, China
Wang Xiaosong
Department of Nuclear Medicine, the Third Affiliated Hospital of Soochow University, Changzhou First People′s Hospital
Changzhou Key Laboratory of Molecular Imaging, Changzhou 213003, China
Shao Xiaonan
Department of Nuclear Medicine, the Third Affiliated Hospital of Soochow University, Changzhou First People′s Hospital
Changzhou Key Laboratory of Molecular Imaging, Changzhou 213003, China
