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Three-Dimensional Ground Glass Opacity Ratio in CT Images Can Predict Tumor Invasiveness of Stage IA Lung Cancer

Authors
 Woo Sik Yu  ;  Sae Rom Hong  ;  Jin Gu Lee  ;  Jae Seok Lee  ;  Hee Suk Jung  ;  Dae Joon Kim  ;  Kyung Young Chung  ;  Chang Young Lee 
Citation
 YONSEI MEDICAL JOURNAL, Vol.57(5) : 1131-1138, 2016 
Journal Title
 YONSEI MEDICAL JOURNAL 
ISSN
 0513-5796 
Issue Date
2016
MeSH
Adenocarcinoma/diagnostic imaging* ; Adenocarcinoma/pathology* ; Adult ; Aged ; Aged, 80 and over ; Area Under Curve ; Female ; Humans ; Imaging, Three-Dimensional* ; Lung Neoplasms/diagnostic imaging* ; Lung Neoplasms/pathology* ; Male ; Middle Aged ; Neoplasm Invasiveness ; Neoplasm Staging ; Predictive Value of Tests ; ROC Curve ; Retrospective Studies ; Tomography, X-Ray Computed* ; Tumor Burden
Keywords
Adenocarcinoma of lung ; neoplasm invasiveness ; receiver operating characteristic ; volumetric computed tomography
Abstract
PURPOSE: 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. MATERIALS AND METHODS: 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. RESULTS: 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). CONCLUSION: 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.
DOI
10.3349/ymj.2016.57.5.1131
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Thoracic and Cardiovascular Surgery (흉부외과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Dae Joon(김대준)
Lee, Jin Gu(이진구)
Lee, Chang Young(이창영)
Chung, Kyung Young(정경영)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/151751
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