Literature DB >> 30429012

Predictive accuracy of lepidic growth subtypes in early-stage adenocarcinoma of the lung by quantitative CT histogram and FDG-PET.

Daisuke Eriguchi1, Yoshihisa Shimada2, Kentaro Imai1, Hideyuki Furumoto1, Tetsuya Okano1, Ryuhei Masuno3, Jun Matsubayashi4, Naohiro Kajiwara1, Tatsuo Ohira1, Norihiko Ikeda1.   

Abstract

OBJECTIVES: The aim of this study was to analyze the accuracy of computed tomography (CT) and F-18 fluorodeoxyglucose-positron emission tomography/CT (FDG-PET/CT) to distinguish lepidic growth adenocarcinoma (LGA), including adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), and lepidic-predominant adenocarcinoma, all of which have favorable survival outcomes, from the more aggressive and invasive non-LGA subtypes.
MATERIALS AND METHODS: We identified 225 patients with c-0/I adenocarcinoma of the lung who underwent PET/CT and 3DCT followed by complete resection. Maximum standardized uptake values (SUVmax) of FDG and several histogram parameters were analyzed. Histological grades were classified according to the predominant subtype (G1: lepidic; G3: micropapillary or solid; and G2: subtypes other than G1/G3).
RESULTS: The proportion of pathological invasive factors (lymphatic vessel involvement/blood vessel invasion/pleural invasion/lymph node metastasis) of patients with preinvasive adenocarcinoma, G1, G2, and G3 tumors were 0%, 3.6%, 48.0%, and 100%, respectively; p <  0.001). Multivariate analysis with CT-related parameters demonstrated that 75th percentile CT attenuation value (75th%, p <  0.001) and maximum CT attenuation value (maxCT, p =  0.009) were associated with incidence of non-LGA, whereas the value of SUVmax demonstrated a significant correlation (p <  0.001). When all patients were dichotomized according to ground-glass opacities (GGO)/solid-dominancy for CT maximum diameter, a significant correlation with non-LGA was shown in patients with solid-dominant tumor on SUVmax (p <  0.001) and with GGO-dominant tumor on 75th% (p =  0.006) and maxCT (p =  0.007). The combination of one of the two significant histogram parameters and SUVmax revealed higher predictive performance for pathological high malignant features (positive pathological invasive factors, non-LGA, and the highly malignant subtype covering G2 with moderately or poorly-differentiated carcinoma and G3) than the individual use of either factor.
CONCLUSION: The 75th%, maxCT, and SUVmax were highly useful in distinguishing LGA from non-LGA in c-0/I adenocarcinoma.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adenocarcinoma; Histogram; PET/CT; Stage I; Three-dimensional CT

Mesh:

Substances:

Year:  2018        PMID: 30429012     DOI: 10.1016/j.lungcan.2018.08.027

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  8 in total

1.  Investigating the association between ground-glass nodules glucose metabolism and the invasive growth pattern of early lung adenocarcinoma.

Authors:  Xiaoliang Shao; Xiaonan Shao; Rong Niu; Zhenxing Jiang; Mei Xu; Yuetao Wang
Journal:  Quant Imaging Med Surg       Date:  2021-08

2.  The utility of three-dimensional computed tomography for prediction of tumor invasiveness in clinical stage IA lung adenocarcinoma.

Authors:  Yohei Kawaguchi; Masayuki Nakao; Kenshiro Omura; Naoya Iwamoto; Hiroki Ozawa; Yasuto Kondo; Junji Ichinose; Yosuke Matsuura; Sakae Okumura; Mingyon Mun
Journal:  J Thorac Dis       Date:  2020-12       Impact factor: 2.895

3.  Relationship between 18F-FDG PET/CT Semi-Quantitative Parameters and International Association for the Study of Lung Cancer, American Thoracic Society/European Respiratory Society Classification in Lung Adenocarcinomas.

Authors:  Lihong Bu; Ning Tu; Ke Wang; Ying Zhou; Xinli Xie; Xingmin Han; Huiqin Lin; Hongyan Feng
Journal:  Korean J Radiol       Date:  2022-01       Impact factor: 3.500

4.  Combination of mean CT value and maximum CT value as a novel predictor of lepidic predominant lesions in small lung adenocarcinoma presenting as solid nodules.

Authors:  Satoshi Koezuka; Atsushi Sano; Yoko Azuma; Takashi Sakai; Keiko Matsumoto; Nobuyuki Shiraga; Tetuo Mikami; Naobumi Tochigi; Yoshitaka Murakami; Akira Iyoda
Journal:  Sci Rep       Date:  2022-03-31       Impact factor: 4.379

5.  Study on the Correlation Between CT Features and Vascular Tumor Thrombus Together With Nerve Invasion in Surgically Resected Lung Adenocarcinoma.

Authors:  Yu Song; Daiwen Chen; Duohuang Lian; Shangwen Xu; Hui Xiao
Journal:  Front Surg       Date:  2022-06-28

6.  Radiomics for identifying lung adenocarcinomas with predominant lepidic growth manifesting as large pure ground-glass nodules on CT images.

Authors:  Ziqi Xiong; Yining Jiang; Di Tian; Jingyu Zhang; Yan Guo; Guosheng Li; Dongxue Qin; Zhiyong Li
Journal:  PLoS One       Date:  2022-06-24       Impact factor: 3.752

Review 7.  [Progress in Single-cell RNA Sequencing of Lung Adenocarcinoma].

Authors:  Yichu Lin; Donglai Chen; Qifeng Ding; Xuejuan Zhu; Rongying Zhu; Yongbing Chen
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2021-05-24

8.  [Value of PET/CT Combined with CT Three-dimensional Reconstruction 
in Distinguishing Different Pathological Subtypes of Early Lung Adenocarcinoma].

Authors:  Jie You; Guozhong Zhang; Xianglong Gao; Yong Chen; Yusheng Shu
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2021-06-14
  8 in total

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