Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule
Authors
Keywords
Lung, Adenocarcinoma, Tomography, x-ray computed, Computational biology, Solitary pulmonary nodule
Journal
EUROPEAN RADIOLOGY
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2018-07-02
DOI
10.1007/s00330-018-5530-z
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation
- (2017) Shuo Wang et al. MEDICAL IMAGE ANALYSIS
- Prognostic Role of Subtype Classification in Small-Sized Pathologic N0 Invasive Lung Adenocarcinoma
- (2016) Tomoharu Yoshiya et al. ANNALS OF THORACIC SURGERY
- Using air bronchograms on multi-detector CT to predict the invasiveness of small lung adenocarcinoma
- (2016) Yu Zhang et al. EUROPEAN JOURNAL OF RADIOLOGY
- Lung Lesion Extraction Using a Toboggan Based Growing Automatic Segmentation Approach
- (2016) Jiangdian Song et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Prognostic and predictive value of the novel classification of lung adenocarcinoma in patients with stage IB
- (2016) Jizhuang Luo et al. JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
- Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer
- (2016) Yan-qi Huang et al. JOURNAL OF CLINICAL ONCOLOGY
- Estimation of the pathological invasive size of pulmonary adenocarcinoma using high-resolution computed tomography of the chest: A consideration based on lung and mediastinal window settings
- (2016) Noriaki Sakakura et al. LUNG CANCER
- Is volumetric 3-dimensional computed tomography useful to predict histological tumour invasiveness? Analysis of 211 lesions of cT1N0M0 lung adenocarcinoma
- (2016) Kei Shikuma et al. Interactive Cardiovascular and Thoracic Surgery
- Reproducibility of radiomics for deciphering tumor phenotype with imaging
- (2016) Binsheng Zhao et al. Scientific Reports
- Quantitative CT analysis of pulmonary ground-glass opacity nodules for distinguishing invasive adenocarcinoma from non-invasive or minimally invasive adenocarcinoma: the added value of using iodine mapping
- (2015) Ji Ye Son et al. EUROPEAN RADIOLOGY
- CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma
- (2015) Thibaud P. Coroller et al. RADIOTHERAPY AND ONCOLOGY
- Correlation between histological invasiveness and the computed tomography value in pure ground-glass nodules
- (2015) Akihiko Kitami et al. SURGERY TODAY
- Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer
- (2015) Chintan Parmar et al. Scientific Reports
- Pure Ground-Glass Opacity Neoplastic Lung Nodules: Histopathology, Imaging, and Management
- (2014) Ho Yun Lee et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Computerized Texture Analysis of Persistent Part-Solid Ground-Glass Nodules: Differentiation of Preinvasive Lesions from Invasive Pulmonary Adenocarcinomas
- (2014) Hee-Dong Chae et al. RADIOLOGY
- Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
- (2014) Hugo J. W. L. Aerts et al. Nature Communications
- Cancer statistics, 2013
- (2013) Rebecca Siegel et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Persistent Pure Ground-Glass Opacity Lung Nodules ≥ 10 mm in Diameter at CT Scan
- (2013) Hyun-ju Lim et al. CHEST
- New IASLC/ATS/ERS Classification and Invasive Tumor Size are Predictive of Disease Recurrence in Stage I Lung Adenocarcinoma
- (2013) Naoki Yanagawa et al. Journal of Thoracic Oncology
- Multidetector CT features of pulmonary focal ground-glass opacity: differences between benign and malignant
- (2012) L Fan et al. BRITISH JOURNAL OF RADIOLOGY
- Radiomics: the process and the challenges
- (2012) Virendra Kumar et al. MAGNETIC RESONANCE IMAGING
- Lung Cancer Epidemiology, Risk Factors, and Prevention
- (2012) Patricia de Groot et al. RADIOLOGIC CLINICS OF NORTH AMERICA
- Ground-Glass Nodules on Chest CT as Imaging Biomarkers in the Management of Lung Adenocarcinoma
- (2011) Jin Mo Goo et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Does Lung Adenocarcinoma Subtype Predict Patient Survival?: A Clinicopathologic Study Based on the New International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society International Multidisciplinary Lung Adenocarcinoma Classification
- (2011) Prudence A. Russell et al. Journal of Thoracic Oncology
- International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society International Multidisciplinary Classification of Lung Adenocarcinoma
- (2011) William D. Travis et al. Journal of Thoracic Oncology
- Impact of proposed IASLC/ATS/ERS classification of lung adenocarcinoma: prognostic subgroups and implications for further revision of staging based on analysis of 514 stage I cases
- (2011) Akihiko Yoshizawa et al. MODERN PATHOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started