Literature DB >> 27575275

Value of CT Characteristics in Predicting Invasiveness of Adenocarcinoma Presented as Pulmonary Ground-Glass Nodules.

Hongdou Ding1, Jingyun Shi2, Xiao Zhou1, Dong Xie1, Xiao Song1, Yang Yang1, Zhongliu Liu3, Haifeng Wang1.   

Abstract

Background Less invasive adenocarcinomas (LIAs) of the lung, including adenocarcinoma in situ (AIS) and minimally invasive adenocarcinoma (MIA), are indications of sublobar resection and has a 5-year disease-free survival rate of almost 100% after surgery. By distinguishing invasive adenocarcinoma from LIA with computed tomography (CT) characteristics, it is possible to determine the extent of resection and prognosis for patients with ground-glass nodules (GGNs) before surgery. Methods We reviewed CT and pathological findings of 728 GGNs in 645 consecutive patients who received curative lung resection in a single center. Only AIS, MIA, and invasive adenocarcinoma were included. Characteristics of CT, including maximum diameter of the lesion (Lmax) and maximum diameter of the consolidation (Cmax), were assessed thoroughly. Results Multivariate logistic regression showed that larger Lmax (p < 0.001) and nonsmooth margin (p = 0.001) were independent factors for invasive adenocarcinoma in pure GGNs (pGGNs). The optimal cut-off value of Lmax was 12.0 mm. In mixed GGNs (mGGNs), multivariate analysis revealed that larger Lmax (p < 0.001), larger Cmax (p = 0.032), and vacuole sign (p = 0.007) were predictive factors for invasive adenocarcinoma, and the area under curve of regression model was 0.866. The optimal cut-off values of Lmax and Cmax were 15.4 and 5.8 mm, respectively. No node metastasis was found in 295 patients who had at least three stations of mediastinal lymph nodes dissected. Conclusion In pGGNs, larger Lmax (>12.0 mm) and nonsmooth margin were reliable predictors for invasive adenocarcinoma. In mGGNs, lesions with larger Lmax (>15.4 mm), larger Cmax (>5.8 mm), and vacuole sign were more likely to be invasive adenocarcinoma. Georg Thieme Verlag KG Stuttgart · New York.

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Mesh:

Year:  2016        PMID: 27575275     DOI: 10.1055/s-0036-1587592

Source DB:  PubMed          Journal:  Thorac Cardiovasc Surg        ISSN: 0171-6425            Impact factor:   1.827


  12 in total

1.  Determining the invasiveness of ground-glass nodules using a 3D multi-task network.

Authors:  Ye Yu; Na Wang; Ning Huang; Xinglong Liu; Yuanjie Zheng; Yicheng Fu; Xiaoqian Li; Huawei Wu; Jianrong Xu; Jiejun Cheng
Journal:  Eur Radiol       Date:  2021-03-04       Impact factor: 5.315

2.  Computed tomography radiomics-based distinction of invasive adenocarcinoma from minimally invasive adenocarcinoma manifesting as pure ground-glass nodules with bubble-like signs.

Authors:  Yining Jiang; Ziqi Xiong; Wenjing Zhao; Jingyu Zhang; Yan Guo; Guosheng Li; Zhiyong Li
Journal:  Gen Thorac Cardiovasc Surg       Date:  2022-03-18

3.  Determining the invasiveness of pure ground-glass nodules using dual-energy spectral computed tomography.

Authors:  Ye Yu; Jie-Jun Cheng; Jian-Ying Li; Ying Zhang; Liao-Yi Lin; Feng Zhang; Jian-Rong Xu; Xiao-Jing Zhao; Hua-Wei Wu
Journal:  Transl Lung Cancer Res       Date:  2020-06

4.  Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule.

Authors:  Li Fan; MengJie Fang; ZhaoBin Li; WenTing Tu; ShengPing Wang; WuFei Chen; Jie Tian; Di Dong; ShiYuan Liu
Journal:  Eur Radiol       Date:  2018-07-02       Impact factor: 5.315

5.  Evaluation of T categories for pure ground-glass nodules with semi-automatic volumetry: is mass a better predictor of invasive part size than other volumetric parameters?

Authors:  Hyungjin Kim; Jin Mo Goo; Chang Min Park
Journal:  Eur Radiol       Date:  2018-04-30       Impact factor: 5.315

6.  Validation of prediction models for risk stratification of incidentally detected pulmonary subsolid nodules: a retrospective cohort study in a Korean tertiary medical centre.

Authors:  Hyungjin Kim; Chang Min Park; Sunkyung Jeon; Jong Hyuk Lee; Su Yeon Ahn; Roh-Eul Yoo; Hyun-Ju Lim; Juil Park; Woo Hyeon Lim; Eui Jin Hwang; Sang Min Lee; Jin Mo Goo
Journal:  BMJ Open       Date:  2018-05-24       Impact factor: 2.692

7.  Can peritumoral regions increase the efficiency of machine-learning prediction of pathological invasiveness in lung adenocarcinoma manifesting as ground-glass nodules?

Authors:  Xiang Wang; Kaili Chen; Wei Wang; Qingchu Li; Kai Liu; Qianyun Li; Xing Cui; Wenting Tu; Hongbiao Sun; Shaochun Xu; Rongguo Zhang; Yi Xiao; Li Fan; Shiyuan Liu
Journal:  J Thorac Dis       Date:  2021-03       Impact factor: 2.895

8.  Radiomic signature based on CT imaging to distinguish invasive adenocarcinoma from minimally invasive adenocarcinoma in pure ground-glass nodules with pleural contact.

Authors:  Yining Jiang; Siyu Che; Shuangchun Ma; Xinyan Liu; Yan Guo; Ailian Liu; Guosheng Li; Zhiyong Li
Journal:  Cancer Imaging       Date:  2021-01-06       Impact factor: 3.909

9.  Factors distinguishing invasive from pre-invasive adenocarcinoma presenting as pure ground glass pulmonary nodules.

Authors:  Huan-Huan Yang; Yi-Lv Lv; Xing-Hai Fan; Zhi-Yong Ai; Xiu-Chun Xu; Bo Ye; Ding-Zhong Hu
Journal:  Radiat Oncol       Date:  2020-07-31       Impact factor: 3.481

10.  Correlation between high-resolution computed tomography lung nodule characteristics and EGFR mutation in lung adenocarcinomas.

Authors:  Yunqiang Nie; Hongjun Liu; Xiao Tan; Hui Wang; Fuzhou Li; Cuiyun Li; Ping Han; Xin Lyv; Xinyi Xu; Miao Guo
Journal:  Onco Targets Ther       Date:  2019-01-10       Impact factor: 4.147

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