[Prediction of Lymph Node Metastasis of Mixed Ground-glass Nodules 
Based on Clinical Imaging Information].

BACKGROUND: Previous studies have shown that lymph node metastasis only occurs in some mixed ground-glass nodules (mGGNs) which the pathological results were invasive adenocarcinoma (IAC). However, the presence of lymph node metastasis leads to the upgrading of tumor-node-metastasis (TNM) stage and worse prognosis of the patients, so it is important to perform the necessary evaluation before surgery to guide the operation method of lymph node. The aim of this study was to find suitable clinical and radiological indicators to distinguish whether mGGNs with pathology as IAC is accompanied by lymph node metastasis, and to construct a prediction model for lymph node metastasis. METHODS: From January 2014 to October 2019, the patients with resected IAC appearing as mGGNs in computed tomography (CT) scan were reviewed. All the lesions were divided into two groups (with lymph node metastasis or not) according to their lymph node status. Lasso regression model analysis by applying R software was used to evaluate the relationship between clinical and radiological parameters and lymph node metastasis of mGGNs. RESULTS: A total of 883 mGGNs patients were enroled in this study, among which, 12 (1.36%) showed lymph node metastasis. Lasso regression model analysis of clinical imaging information in mGGNs with lymph node metastasis showed that previous history of malignancy, mean density, mean density of solid components, burr sign and percentage of solid components were informative. Prediction model for lymph node metastasis in mGGNs was developed based on the results of Lasso regression model with area under curve=0.899. CONCLUSIONS: Clinical information combined with CT imaging information can predict lymph node metastasis in mGGNs.

Prediction of Lymph Node Metastasis of Mixed Ground-glass Nodules Based on Clinical Imaging Information / 中国肺癌杂志

BACKGROUND@#Previous studies have shown that lymph node metastasis only occurs in some mixed ground-glass nodules (mGGNs) which the pathological results were invasive adenocarcinoma (IAC). However, the presence of lymph node metastasis leads to the upgrading of tumor-node-metastasis (TNM) stage and worse prognosis of the patients, so it is important to perform the necessary evaluation before surgery to guide the operation method of lymph node. The aim of this study was to find suitable clinical and radiological indicators to distinguish whether mGGNs with pathology as IAC is accompanied by lymph node metastasis, and to construct a prediction model for lymph node metastasis.@*METHODS@#From January 2014 to October 2019, the patients with resected IAC appearing as mGGNs in computed tomography (CT) scan were reviewed. All the lesions were divided into two groups (with lymph node metastasis or not) according to their lymph node status. Lasso regression model analysis by applying R software was used to evaluate the relationship between clinical and radiological parameters and lymph node metastasis of mGGNs.@*RESULTS@#A total of 883 mGGNs patients were enroled in this study, among which, 12 (1.36%) showed lymph node metastasis. Lasso regression model analysis of clinical imaging information in mGGNs with lymph node metastasis showed that previous history of malignancy, mean density, mean density of solid components, burr sign and percentage of solid components were informative. Prediction model for lymph node metastasis in mGGNs was developed based on the results of Lasso regression model with area under curve=0.899.@*CONCLUSIONS@#Clinical information combined with CT imaging information can predict lymph node metastasis in mGGNs.

The predictive value of CT signs of mixed ground-glass nodules in pathological subtypes and differentiation of lung adenocarcinoma / 中国胸心血管外科临床杂志

@#Objective    To explore the predictive value of CT signs of mixed ground-glass nodules in the pathological subtype and differentiation of lung adenocarcinoma. Methods    The clinical data of 66 patients with mixed ground-glass nodules pathologically diagnosed as invasive adenocarcinoma (IAC) in the Second Department of Thoracic Surgery, the First Affiliated Hospital of Xiamen University from May to December 2021 were retrospectively analyzed, including 20 males and 46 females, aged 35-75 years. The CT findings were analyzed before operation, and the lesion profile was cut after operation to distinguish the ground-glass and solid components, and the pathological results of different positions were obtained. According to the postoperative pathological results, the patients were divided into a low-risk group (containing adherent type and no components of micropapillary subtype and solid subtype, n=16), a medium-risk group (containing niple or acinar type and no components of micropapillary subtype and solid subtype, n=38), and a high-risk group (containing micropapillary or solid subtype, n=12). The relationships between CT features and the pathological subtype and degree of differentiation were analyzed and compared. Results    In 66 patients with IAC, the infiltration degree of solid components was greater than that of ground-glass components. When the solid component ratio (CTR) was≥25% (sensitivity 90.2%, specificity 64.0%, P=0.005), and the average CT value was>−283.95 HU (sensitivity 82.9%, specificity 64.0%, P=0.000), the histological grade was more inclined to medium and low differentiation. The CTR, Ki-67, average CT value and histological grade of IAC in the medium- and high-risk groups were higher than those of nodules in the low-risk group. Conclusion    The infiltration degree of solid components is higher than that of ground-glass components in IAC mixed ground-glass nodules. The pathological subtype, Ki-67 expression and histological grade of lung adenocarcinoma can be predicted according to its CT characteristics, which has important clinical significance for determining the timing of surgery.

The clinical value of predicting the invasiveness of pulmonary mixed ground-glass nodules by CT quantitative parameters / 中国肿瘤临床

Objective:To discuss the value of CT quantitative parameters in prediction of the invasiveness of pulmonary mixed ground glass nodules(mGGNs).Methods:CT images of 164 patients with pulmonary ground-glass nodules(mGGNs),enrolled in Tianjin Medi-cal University Cancer Institute and Hospital from January 2013 to September 2016,confirmed by surgical pathology were analyzed ret-rospectively.CT quantitative parameters including maximum diameter,largest diameter perpendicular to the maximum diameter,vol-ume on both pulmonary window and mediastinal window,mean CT value and TDR(tumor shadow disappear rate)were evaluated be-tween minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) with ROC and Logistic regression analysis. Re-sults:Logistic regression analysis showed that the maximum diameter of the pulmonary window(OR=3.080,95% CI:1.135-8.355,P=0.027)and the maximum diameter of the mediastinal window(OR=5.881,95%CI:1.634-21.166,P=0.007)independently predicted the invasiveness of mGGNs;the corresponding values of area under the curve of the combination of two parameters were 0.855,with sen-sitivity of 77.61% and specificity of 86.67 %.The cut-off point to the corresponding value of the maximum diameter on pulmonary win-dow and mediastinal window was 1.902cm and 1.273cm,respectively.Conclusions:CT quantitative parameters are helpful in predict-ing the invasiveness of mGGNs.The maximum diameters on both pulmonary window and mediastinal window are independent predic-tors.