Comparative analysis of ground glass nodular lung adenocarcinoma CT imaging features and pathologic classification
REN Kai-ming1, ZHAO Jun-gang1, LIN Ai-jun1, MA Quan-mei1, ZHOU Zhao-li2, LU Ji-bin1
1. Shengjing Hospital of China Medical University, Shenyang 110004, China;
2. Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
Abstract：Objective: To study and compare the relationship between high-resolution computed tomography(HRCT) imaging signs of lung ground glass nodules(GGN) and the new pathological classification of early-stage lung adenocarcinoma in order to improve the diagnosis of GGN. Methods: The HRCT data of postperative 116 patients with pathologically confirmed pulmonary GGN were retrospectively analyzed. According to the newest pathological classification criteria for lung adenocarcinoma, they were divided into 3 groups: 41 in the infiltration group, including 16 cases of atypical adenomatous hyperplasia(AAH), 25 cases of carcinoma in situ(AIS); 33 cases of micro-invasive carcinoma(MIA) group; 42 cases of invasive adenocarcinoma(IAC) group. The GGN size, density, lobulation sign, burr sign, pleural stretch sign, vascular cluster sign, air bronchogram were evaluated for each group and statistical analysis was done. Results: The distribution of the lesion size had a significant difference among the three groups(P<0.01). The distribution of lobulation sign and burr sign had significant differences among the three groups(P<0.01). The comparison between the pleural stretch signs showed that there were significant differences between the infiltration group, the MIA group, and the IAC group(P<0.01), but there was no significant difference between the infiltration group and the MIA group(P>0.05). Compared between vascular cluster signs, MIA group and IAC group were higher than those before infiltration group, and the difference was statistically significant(P<0.01). There was no significant difference between MIA group and IAC group(P>0.05). The distribution of cavitation sign, air bronchogram and lesions density had no significant differences among the three groups. Conclusion: The lesion size, lobular sign, burr sign, pleural stretch sign, vascular cluster sign are important CT imaging features that distinguish pre-infiltrating lesion, MIA and IAC can improve the understanding of the new pathological classification of micro GGN-like lung adenocarcinoma.
任开明1，赵俊刚1，林爱军1，马全美1，周兆丽2，鲁继斌1. 肺磨玻璃结节的CT影像特征与病理分类的对照分析研究[J]. 中国临床医学影像杂志, 2019, 30(8): 558-561.
REN Kai-ming1, ZHAO Jun-gang1, LIN Ai-jun1, MA Quan-mei1, ZHOU Zhao-li2, LU Ji-bin1. Comparative analysis of ground glass nodular lung adenocarcinoma CT imaging features and pathologic classification. JOURNAL OF CHINA MEDICAL IMAGING, 2019, 30(8): 558-561.
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