Zhang Wei, Hou Weishu, Li Mei, Zhu Puhe, Sun Jialong, Wu Zongshan, Liu Bin
Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Department of Radiology, Lu'an Hospital of Anhui Medical University, Lu'an, China.
BMC Pulm Med. 2024 Dec 5;24(1):604. doi: 10.1186/s12890-024-03419-6.
This study explores the value of interlobar fissure semilunar sign(IFSS) based on multifactor joint analysis in predicting the invasiveness of ground glass nodules(GGNs) with interlobar fissure attachment in the lungs.
This was a retrospective analysis of clinical data and CT images of 203 GGNs attached to the interlobar fissures confirmed by surgery and pathology. According to pathological results, those GGNs were divided into three groups: glandular precursor lesion (atypical adenomatous hyperplasia/adenocarcinoma in situ), minimally invasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC). Various quantitative and qualitative parameters were analyzed.
Patient age, maximum diameter, mean size, maximum CT value, and mean CT value differed significantly among the three groups and between with the other group (P < 0.05). The types of GGNs, IFSS, lobulation, spiculation, cavity sign, air bronchogram sign, bronchial changes, and vascular changes had varying degrees of significance in the comparison of each group of lesions. Logistic regression analysis showed that IFSS is one of the important factors in predicting whether GGN is invasive. The regression model I was Logit (P) 1 = -3.578 + 0.272 × 2 + 2.253 × 5, with the area under curve (AUC) for diagnosis of MIA = 0.762. Model III was Logit (P) 3 = -4.494 + 0.376 × 2 + 2.363 × 5, with the AUC for diagnosis of MIA/IAC = 0.881. The sensitivity and specificity of IFSS in model III were 0.961 and 0.458, respectively.
The absence of IFSS in GGNs attached to the interlobar fissure suggests noninvasive lesions. The logistic regression model based on multi factor joint analysis IFSS and maximum diameter can better predict whether the GGN attached to the interlobar fissure pleura is invasive.
本研究基于多因素联合分析,探讨肺叶间裂半月征(IFSS)在预测肺叶间裂附着的磨玻璃结节(GGNs)侵袭性方面的价值。
对203例经手术及病理证实的附着于叶间裂的GGNs的临床资料及CT图像进行回顾性分析。根据病理结果,将这些GGNs分为三组:腺前体病变(非典型腺瘤样增生/原位腺癌)、微浸润腺癌(MIA)和浸润性腺癌(IAC)。分析各种定量和定性参数。
三组之间以及与其他组之间患者年龄中位数、最大直径、平均大小、最大CT值和平均CT值差异有统计学意义(P < 0.05)。GGNs的类型、IFSS、分叶、毛刺、空洞征、空气支气管征、支气管改变和血管改变在每组病变的比较中具有不同程度的意义。Logistic回归分析显示,IFSS是预测GGN是否侵袭的重要因素之一。回归模型I为Logit(P)1 = -3.578 + 0.272×2 + 2.253×5,诊断MIA的曲线下面积(AUC) = 0.762。模型III为Logit(P)3 = -4.494 + 0.376×2 + 2.363×5,诊断MIA/IAC的AUC = 0.881。模型III中IFSS的敏感性和特异性分别为0.961和0.458。
附着于叶间裂的GGNs中无IFSS提示为非侵袭性病变。基于IFSS和最大直径多因素联合分析的Logistic回归模型能更好地预测附着于叶间裂胸膜的GGN是否具有侵袭性。