ABSTRACT
Objective To investigate the predictive value of whole nodule size and solid component size of pulmonary subsolid nodules (SSNs)with different window setting on preoperative HRCT for pathologic grade in lung adenocarcinoma.Methods We retrospectively evaluated preoperative chest HRCT and pathological data of 125 patients with 127 surgically resected lung adenocarcinoma manifesting as SSNs.All specimens were divided into two groups:a total of 69 SSNs in group A,including 22 adenocarcinomas in situ (AIS) and 47 minimally invasive adenocarcinoma (MIA);a total of 58 SSNs in group B,including invasive adenocarcinoma (IAC).Observer 1 used computer aided diagnosis software to measure the volume of whole nodule with lung window setting (WNLW),volume of solid component with lung window setting (SCLW),volume of solid component with mediastinal window setting (SCMW) and volume of solid component with threshold of-300 HU(SCT) of all SSNs.Observer 2 randomly selected 50 SSNs and repeated all the measurements.The interobserver agreement regarding quantitative measurements were evaluated by using intraclass correlation coefficient(ICC).The differences of all quantitative features between two groups were evaluated by Mann-Whitney U test.All the quantitative features were evaluated by using univariate logistic regression analysis,significant quantitative features identified by univariate logistic regression analysis were included in the multivariate logistic regression and independent predictors of pathological grade were obtained.Receiver operating characteristic analysis was conducted for the independent predictive factors that exhibited statistically significant differences in the multivariate logistic regression.Results The interobserver agreement regarding quantitative features were excellent (ICC＞ 0.75).The WNLW,SCLW,SCMW and SCT of group B were significantly larger than those of group A (P＜ 0.001).The univariate logistic regression analysis indicated that WNLW,SCLW,SCMW and SCT were significant (P＜0.001),the multivariate logistic regression analysis indicated that SCT was the independent predictive factor (OR=1.013,95％CI:1.006—1.020,P＜0.001).When SCT larger than 139.00 mm3,SSN was significantly associated with IACs (AUC=0.887,sensitivity=81％,specificity=93％).Conclusion SCT of SSNs on preoperative HRCT can be used to distinguish between AIS-MIA and IAC,which may provide information for choice of operation.
ABSTRACT
Objective To investigate the predictive value of the whole nodule size and solid component size of lung adenocarcinoma manifesting as subsolid nodule(SSN) in three different dimensions for pathologic grade.Methods We evaluated retrospectively preoperative chest HRCT data of 125 patients with 127 SSNs surgically resected and pathologically conformed lung adenocarcinomas.All specimens were divided into two groups: a total of 69 SSNs in group A, including 22 AIS and 47 MIA;a total of 58 SSNs in group B, only including IAC.Computer aided diagnosis software were used to measure the one dimension maximum diameter of solid component with lung window setting(1D-SCLW),two dimension maximum diameter of solid component with lung window setting(2D-SCLW),one dimension maximum diameter of solid component with mediastinal window setting(1D-SCMW),two dimension maximum diameter of solid component with mediastinal window setting(2D-SCMW),one dimension maximum diameter of whole nodule with lung window setting (1D-WNLW), two dimension maximum diameter of whole nodule with lung window setting (2D-WNLW), and volume of solid component with threshold of-300 HU (SCT) of all SSNs.Results 1D-SCLW, 2D-SCLW,1D-SCMW,2D-SCMW,1D-WNLW,2D-WNLW and SCT of the group B were significantly larger than those of the group A(P=0.000).ROC analyses indicated that the diagnostic efficiency of SCT for the pathologic grade was the highest among 7 CT features(AUC=0.887, sensitivity:81%,specificity:93%);The cut-off values of 1D-SCLW,2D-SCLW,1D-SCMW,2D-SCMW,1D-WNLW, 2D-WNLW and SCT were 17.50 mm,14.75 mm,9.50 mm,7.75 mm,0.50 mm,1.25 mm and 139.00 mm3.Multiple Logistic regression analysis revealed that SCT was the independent predictor of pathologic grade(OR=4.978,95%CI=1.430-17.331,P=0.012).SCT of 139.00 mm3 or greater was a significant indicator of IAC.Conclusion Among the whole nodule size and solid component size of SSN in three different dimensions on preoperative HRCT, SCT is found to be the independent predictor of pathologic grade, which may provide reference for surgery.