Affiliation:
1. GDMPA Key Laboratory for Quality Control and Evaluation of Radiopharmaceuticals, Department of Nuclear Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China
Abstract
Objective
This study is performed to investigate the imaging characteristics of the International Association for the Study of Lung Cancer grade 3 invasive adenocarcinoma (IAC) on PET/CT and the value of PET/CT for preoperative predicting this tumor.
Materials and methods
We retrospectively enrolled patients with IAC from August 2015 to September 2022. The clinical characteristics, serum tumor markers, and PET/CT features were analyzed. T test, Mann–Whitney U test, χ2 test, Logistic regression analysis, and receiver operating characteristic analysis were used to predict grade 3 tumor and evaluate the prediction effectiveness.
Results
Grade 3 tumors had a significantly higher maximum standardized uptake value (SUVmax) and consolidation-tumor-ratio (CTR) (P < 0.001), while Grade 1 - 2 tumors were prone to present with air bronchogram sign or vacuole sign (P < 0.001). A stepwise logistic regression analysis revealed that smoking history, CEA, SUVmax, air bronchogram sign or vacuole sign and CTR were useful predictors for Grade 3 tumors. The established prediction model based on the above 5 parameters generated a high AUC (0.869) and negative predictive value (0.919), respectively.
Conclusion
Our study demonstrates that grade 3 IAC has a unique PET/CT imaging feature. The prognostication model established with smoking history, CEA, SUVmax, air bronchogram sign or vacuole sign and CTR can effectively predict grade 3 tumors before the operation.
Publisher
Ovid Technologies (Wolters Kluwer Health)