Yu Woo Sik, Hong Sae Rom, Lee Jin Gu, Lee Jae Seok, Jung Hee Suk, Kim Dae Joon, Chung Kyung Young, Lee Chang Young
Department of Thoracic Surgery, Armed Forces Capital Hospital, Seongnam, Korea.
Department of Medicine, The Graduate School of Yonsei University, Seoul, Korea.
Yonsei Med J. 2016 Sep;57(5):1131-8. doi: 10.3349/ymj.2016.57.5.1131.
We investigated the relationship between various parameters, including volumetric parameters, and tumor invasiveness according to the International Association for the Study of Lung Cancer (IASLC)/American Thoracic Society (ATS)/European Respiratory Society (ERS) classification.
We retrospectively reviewed 99 patients with completely resected stage IA lung adenocarcinoma. The correlation between several parameters [one-dimensional ground glass opacity (1D GGO) ratio, two-dimensional (2D) GGO ratio, three-dimensional (3D) GGO ratio, 1D solid size, 2D solid size, and 3D solid size] and tumor invasiveness according to IASLC/ATS/ERS classification was investigated using receiver operating characteristic (ROC) analysis. Adenocarcinoma in situ and minimally invasive adenocarcinoma were referred to as noninvasive adenocarcinoma.
The areas under the curve (AUC) to predict invasive adenocarcinoma for the 1D, 2D, and 3D GGO ratios were 0.962, 0.967, and 0.971, respectively. The optimal cut-off values for the 1D, 2D, and 3D GGO ratios were 38%, 62%, and 74%, respectively. The AUC values for 1D, 2D, and 3D solid sizes to predict invasive adenocarcinoma were 0.933, 0.944, and 0.903, respectively. The optimal cut-off values for 1D, 2D, and 3D solid sizes were 1.2 cm, 1.5 cm², and 0.7 cm³, respectively. The difference in the ROC curves for 3D GGO ratio and 3D solid size was significant (p=0.01).
Computed tomography image-related parameters based on GGO were well correlated with and predictive of invasiveness according to IASLC/ATS/ERS classification. 3D GGO ratio was more strongly correlated with pathologic invasiveness than 3D solid size.
我们根据国际肺癌研究协会（IASLC）/美国胸科学会（ATS）/欧洲呼吸学会（ERS）的分类，研究了包括体积参数在内的各种参数与肿瘤侵袭性之间的关系。
我们回顾性分析了99例接受根治性切除的IA期肺腺癌患者。使用受试者操作特征（ROC）分析，研究了几个参数[一维磨玻璃密度影（1D GGO）比例、二维（2D）GGO比例、三维（3D）GGO比例、1D实性大小、2D实性大小和3D实性大小]与根据IASLC/ATS/ERS分类的肿瘤侵袭性之间的相关性。原位腺癌和微浸润腺癌被称为非侵袭性腺癌。
预测侵袭性腺癌的1D、2D和3D GGO比例的曲线下面积（AUC）分别为0.962、0.967和0.971。1D、2D和3D GGO比例的最佳截断值分别为38%、62%和74%。预测侵袭性腺癌的1D、2D和3D实性大小的AUC值分别为0.933、0.944和0.903。1D、2D和3D实性大小的最佳截断值分别为1.2 cm、1.5 cm²和0.7 cm³。3D GGO比例和3D实性大小的ROC曲线差异有统计学意义（p=0.01）。
基于GGO的计算机断层扫描图像相关参数与IASLC/ATS/ERS分类的侵袭性密切相关且具有预测性。3D GGO比例与病理侵袭性的相关性比3D实性大小更强。
