Establishment of a diagnostic model for charactering solitary pulmonary nodule based on 18F-FDGPET/CT and clinical data / 中华核医学与分子影像杂志

ABSTRACT

Objective To establish a diagnostic model based on 18F-FDG PET/CT and clinical data and assess its diagnostic potency for characterizing SPN.Methods From November 2004 to May 2014,164 patients with SPN who underwent 18F-FDG PET/CT scan were retrospectively analyzed.The patients'clinical factors (age,gender,history of smoking and history of malignancy),information on CT (diameter,location and spiculated edge of the lesion) and metabolic information on PET imaging were collected to establish a diagnostic model by using the binary logistic regression.Then,the optimal operating point (OOP)of the established model was set.The diagnostic potencies of the established model and PET were assessed by ROC curve.Results Malignancy was diagnosed in 104 of 164 SPN patients.The rest 60 patients had benign diseases.The factors of age,spiculation(0no spiculation,1obvious spiculation) and metabolic information(0≤ mediastinal blood pool,1＞mediastinal blood pool) were demonstrated to be useful for the establishment of the model (x2 =5.486,16.240,33.855,all P＜0.05).However,the factors of gender,history of smoking,the diameter and location of lesions showed no influence for the model (x2 =2.452,0.453,0.127,0.390,all P＞0.05) and rejected from the model established.The history of malignancy was excluded from statistical analysis because there were only 2 patients with history of malignancy.The established model was as followsP=1/(1+e-Z),z=-5.512+0.061xage+2.208xspiculation+3.767×metabolic increase.The ROC AUC of the established model and PET using two-point scoring scale (TPSS) for charactering SPN were 0.92(95％ CI0.87-0.96)and 0.80(95％ CI0.73-0.86).The model had higher diagnostic efficacy compared with TPSS (z=4.369,P＜0.05).When P=0.796 7 was set as an OOP,the diagnostic sensitivities of the model and PET for charactering SPN were 91.3％ (95/104) and 94.2％ (98/104) respectively,and no significant difference was found between them (x2 =0.800,P＞0.05).However,significant difference was found between the diagnostic specificities of them (80.0％ (48/60) vs 65.0％ (39/60);x2 =7.111,P＜0.05).Conclusions A new diagnostic model for characterizing SPN based on the information from 18FFDG PET,thin-section CT and clinical data is successfully established.Its sensitivity for diagnosis of lung cancer is high,and its specificity is superior to PET using with TPSS.This model has a potential value for clinical application.