Construction and validation of the predictive models for the pathological invasion of early lung adenocarcinoma presenting as ground glass nodules based on 18F-FDG PET/CT / 中华核医学与分子影像杂志
Chinese Journal of Nuclear Medicine and Molecular Imaging
; (6): 385-390, 2022.
Article
ي Zh
| WPRIM
| ID: wpr-957149
المكتبة المسؤولة:
WPRO
ABSTRACT
Objective:
To construct and verify of the predictive models for pathologic invasion of early lung adenocarcinoma with ground glass nodules (GGNs) based on 18F-FDG PET/CT.Methods:
A retrospective analysis was conducted on 149 patients (44 males, 105 females; age (61.1±8.9) years) with pre-invasive lesions/minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) confirmed by pathology after surgery in the First People′s Hospital of Changzhou from October 2011 to October 2019. All patients underwent PET/CT for GGNs. GGNs were randomly divided into a modeling group and validation group with the proportion of 1∶1. Mann-Whitney U test or χ2 test was used to compare the qualitative morphological characteristics (shape, edge characteristics, etc.), quantitative parameters (consolidation-to-tumor ratio, attenuation value of the ground glass opacity (GGO) component on CT (CT GGO), etc.) and quantitative functional parameters (SUV max and SUV index(GGNs SUV max/liver SUV mean) of pre-invasive lesions/MIA and IAC. Logistic regression analysis was used to construct the models, and the ROC curve was used to verify the models′ robustness. Different AUCs were compared by Delong test.Results:
A total of 170 GGNs were removed by surgery and confirmed pathologically. In the modeling group ( n=89), the proportion of mixed GGNs, irregular shape, edge characteristics, bronchiectasis/twist/truncation sign, GGNs maximum diameter and solid component maximum diameter, consolidation-to-tumor ratio, CT GGO, SUV max and SUV index in IAC group were significantly higher than those in pre-invasive/MIA group ( χ2 values 5.00-23.40, z values from -6.53 to -2.70, all P<0.05). Models 1-3 were constructed based on the qualitative parameters (GGNs type, edge characteristics), quantitative parameters (CT GGO, SUV index), combined qualitative and quantitative parameters (GGNs type, edge characteristics, SUV index) of PET/CT, respectively, and the AUCs of ROC were 0.896, 0.880 and 0.931 in the modeling group, respectively. And the AUC of model 2 was not decreased significantly in the validation group ( n=81; AUC=0.802; z=0.81, P=0.417).Conclusion:
The model combined with morphological and functional quantitative parameters of 18F-FDG PET/CT can effectively predict the pathological invasion of early lung adenocarcinoma, and the constructed model is robust.
النص الكامل:
1
الفهرس:
WPRIM
اللغة:
Zh
مجلة:
Chinese Journal of Nuclear Medicine and Molecular Imaging
السنة:
2022
نوع:
Article