Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule | |
Fan, Li1; Fang, MengJie2,3; Li, ZhaoBin4; Tu, WenTing1; Wang, ShengPing5; Chen, WuFei6; Tian, Jie2,3; Dong, Di2,3; Liu, ShiYuan1 | |
发表期刊 | EUROPEAN RADIOLOGY |
ISSN | 0938-7994 |
2019-02-01 | |
卷号 | 29期号:2页码:889-897 |
摘要 | ObjectivesTo identify the radiomics signature allowing preoperative discrimination of lung invasive adenocarcinomas from non-invasive lesions manifesting as ground-glass nodules.MethodsThis retrospective primary cohort study included 160 pathologically confirmed lung adenocarcinomas. Radiomics features were extracted from preoperative non-contrast CT images to build a radiomics signature. The predictive performance and calibration of the radiomics signature were evaluated using intra-cross (n=76), external non-contrast-enhanced CT (n=75) and contrast-enhanced CT (n=84) validation cohorts. The performance of radiomics signature and CT morphological and quantitative indices were compared.Results355 three-dimensional radiomics features were extracted, and two features were identified as the best discriminators to build a radiomics signature. The radiomics signature showed a good ability to discriminate between invasive adenocarcinomas and non-invasive lesions with an accuracy of 86.3%, 90.8%, 84.0% and 88.1%, respectively, in the primary and validation cohorts. It remained an independent predictor after adjusting for traditional preoperative factors (odds ratio 1.87, p < 0.001) and demonstrated good calibration in all cohorts. It was a better independent predictor than CT morphology or mean CT value.ConclusionsThe radiomics signature showed good predictive performance in discriminating between invasive adenocarcinomas and non-invasive lesions. Being a non-invasive biomarker, it could assist in determining therapeutic strategies for lung adenocarcinoma.Key Points center dot The radiomics signature was a non-invasive biomarker of lung invasive adenocarcinoma.center dot The radiomics signature outweighed CT morphological and quantitative indices.center dot A three-centre study showed that radiomics signature had good predictive performance. |
关键词 | Lung Adenocarcinoma Tomography x-ray computed Computational biology Solitary pulmonary nodule |
DOI | 10.1007/s00330-018-5530-z |
关键词[WOS] | COMPUTED-TOMOGRAPHY ; IASLC/ATS/ERS CLASSIFICATION ; INTERNATIONAL-ASSOCIATION ; MULTIDETECTOR CT ; OPACITY NODULES ; PREDICT ; LESIONS ; CHEST ; SIZE |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Shanghai Pujiang Talent Program[15PJD002] ; National Key R&D Program of China[2017YFC1308703] ; National Key R&D Program of China[2016YFE0103000] ; National Natural Science Foundation of China[81230030] ; National Natural Science Foundation of China[81370035] ; National Key R&D Program of China[2017YFC1309100] ; National Key R&D Program of China[2017YFC1308700] ; National Natural Science Foundation of China[81771924] ; National Key R&D Program of China[2017YFA0205200] ; National Key R&D Program of China[2017YFA0205200] ; National Natural Science Foundation of China[81771924] ; National Key R&D Program of China[2017YFC1308700] ; National Key R&D Program of China[2017YFC1309100] ; National Natural Science Foundation of China[81370035] ; National Natural Science Foundation of China[81230030] ; National Key R&D Program of China[2016YFE0103000] ; National Key R&D Program of China[2017YFC1308703] ; Shanghai Pujiang Talent Program[15PJD002] |
WOS研究方向 | Radiology, Nuclear Medicine & Medical Imaging |
WOS类目 | Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:000454706500043 |
出版者 | SPRINGER |
七大方向——子方向分类 | 医学影像处理与分析 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/25646 |
专题 | 中国科学院分子影像重点实验室 |
通讯作者 | Dong, Di; Liu, ShiYuan |
作者单位 | 1.Second Mil Med Univ, Changzheng Hosp, Dept Radiol, 415 Fengyang Rd, Shanghai 200003, Peoples R China 2.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100190, Peoples R China 4.Shanghai Jiao Tong Univ, Peoples Hosp 6, Dept Radiat Oncol, Shanghai 200233, Peoples R China 5.Fudan Univ, Dept Radiol, Shanghai Canc Ctr, Shanghai 200032, Peoples R China 6.Fudan Univ, Dept Radiol, Huadong Hosp, Shanghai 200040, Peoples R China |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Fan, Li,Fang, MengJie,Li, ZhaoBin,et al. Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule[J]. EUROPEAN RADIOLOGY,2019,29(2):889-897. |
APA | Fan, Li.,Fang, MengJie.,Li, ZhaoBin.,Tu, WenTing.,Wang, ShengPing.,...&Liu, ShiYuan.(2019).Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule.EUROPEAN RADIOLOGY,29(2),889-897. |
MLA | Fan, Li,et al."Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule".EUROPEAN RADIOLOGY 29.2(2019):889-897. |
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