Comparison of CT Features of Solid Components in Benign and Malignant Mixed Ground-Glass Nodules
10.3969/j.issn.1005-5185.2024.06.007
- VernacularTitle:肺部良、恶性混合磨玻璃结节实性成分的CT特征比较
- Author:
Yue ZHANG
1
;
Qi LI
;
Zubin OUYANG
;
Xin FAN
;
Peiling ZOU
Author Information
1. 重庆医科大学附属第一医院放射科,重庆 400016
- Keywords:
Lung diseases;
Adenocarcinoma of lung;
Tomography,X-ray computed;
Diagnosis,differential
- From:
Chinese Journal of Medical Imaging
2024;32(6):564-571
- CountryChina
- Language:Chinese
-
Abstract:
Purpose To explore the CT features of solid components between benign and malignant mixed ground-glass nodules(mGGO),and between minimally invasive adenocarcinoma(MIA)and invasive adenocarcinoma(IAC),and to improve the accuracy of preoperative diagnosis of mGGO.Materials and Methods The clinical and imaging data of 313 patients with mGGO admitted to the First Affiliated Hospital of Chongqing Medical University from January 2016 to July 2022 were retrospectively analyzed,and all patients were divided into benign group(95 cases)and malignant group(218 cases)according to follow-up or pathological results.All patients in malignant group were further divided into MIA(118 cases)and IAC(100 cases)groups.Logistic regression analysis models were established using the statistically significant CT features above,and the area under the curve(AUC)was calculated to evaluate the effectiveness of the model.Results ① Comparison of clinical characteristics between benign and malignant groups:malignant mGGO were more common in older people,females and nonsmokers,without smoking history,and the differences between two groups were significantly different(Z=-3.776,χ2=13.587,19.257;all P<0.001).②Comparison of CT features between benign and malignant groups:benign group existed a higher proportion of single solid component(84.21%vs.55.50%),while malignant group existed a higher proportion of multiple solid components(44.50%vs.15.79%),and the difference between two groups was significantly different(χ2=23.728,P<0.001).As for patients with single solid component,the solid components in malignant group were more likely to be irregular,mostly with eccentric distribution,and the proportion of solid components connected with blood vessels and pleura were higher than the benign group,the differences between two groups were significant(χ2=23.785,5.025,7.264;all P<0.05).Meanwhile,the benign group also had higher CT value[-153.00(-254.00,-80.50)Hu vs.-265.00(-363.25,-122.00)Hu],while lower relative CT value(0.30±0.16 vs.0.41±0.22),the differences between two groups were significant(all P<0.001).Logistic regression analysis:irregular morphology of the solid component(OR=0.236,P<0.001)and higher CT value(OR=1.009,P<0.05)were independent predictors of malignant mGGO.Receiver operator characteristic(ROC)curve analysis showed that the AUC was 0.772,and its accuracy,sensitivity and specificity was 70.65%,74.40%and 65.00%,respectively.③Comparison of CT features between MIA and IAC groups:MIA group existed a higher proportion of single solid component(74.58%vs.33.00%),while IAC group existed a higher proportion of multiple solid components(67.00%vs.25.42%),and the difference between two groups was significantly different(χ2=37.885,P<0.001).As for patients with single solid component,the solid components in IAC group were more likely to be irregular,it also had higher area,area proportion,and CT value,while lower relative CT value than the MIA group,the differences between two groups were significant(χ2=7.563,Z=-4.388,-3.923,-3.996;all P<0.05).Logistic regression analysis:eccentric distribution of the solid component(OR=0.083,P<0.05)and large area(OR=1.063,P<0.05)were independent predictors of IAC.ROC curve analysis showed that the AUC was 0.865,and its accuracy,sensitivity and specificity was 83.47%,87.90%and 68.20%,respectively.Conclusion The solid components between benign and malignant nodules as well as between MIA and IAC show different CT features.Based on these different features,it's helpful to improve the preoperative diagnostic accuracy of mGGO and guide the clinical treatment plans.
