Author:
Yang Hanyun,Liu Xinran,Wang Lijuan,Zhou Wenlan,Tian Ying,Dong Ye,Zhou Kemin,Chen Li,Wang Meng,Wu Hubing
Abstract
AbstractPurposeThis study is performed to investigate the imaging characteristics of the International Association for the study of lung cancer (IASLC) grade 3 invasive adenocarcinoma (IAC) on PET/CT and the value of PET/CT for preoperative predicting this tumor.Materials and MethodsWe 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, χ2test, Logistic regression analysis, and receiver operating characteristic (ROC) analysis were used to predict grade 3 tumor and evaluate the prediction effectiveness.ResultsGrade 3 tumors had a significantly higher maximum standardized uptake value (SUVmax) (P< 0.001), while Grade 1 - 2 tumors were prone to present with air bronchogram sign or vacuole sign (P< 0.001). Multivariate logistic regression analysis revealed that only SUVmax(OR = 1.137; 95% CI: 1.037, 1.247;P< 0.05) and air bronchogram sign or vacuole sign (OR = 0.225; 95% CI: 0.088, 0.572;P< 0.05) were independent predictors for Grade 3 tumors. The established prediction formula for Grade 3 tumors was P = one / [one + EXP (1.112 - 0.187 × SUVmax+ 1.395 × air bronchogram sign or vacuole sign)], which generated a high AUC (0.825) and negative predictive value (0.924), respectively.ConclusionOur study demonstrates that grade 3 IAC has a unique PET/CT imaging feature. The prediction model established with SUVmaxand air bronchogram sign or vacuole sign can effectively predict grade 3 tumors before the operation.
Publisher
Cold Spring Harbor Laboratory