ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2014
Noninvasive risk stratification of lung adenocarcinoma using quantitative computed tomography.
Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Trial
- A Comprehensive Review of Radiomics in Pulmonary Nodule Management: Clinical Applications and Standardization Dilemmas.Current medical imaging · 2026Review
- Radiomics to understand pre-treatment tumor biology for resectable non-small cell lung cancer.Frontiers in oncology · 2026Review
- Long-Term Prognosis of Resected Stage 1 Lung Adenocarcinoma With Radiomics, Regionality, and Histopathologic Correlation.CHEST pulmonary · 2025Article
- A computed tomography-based score indicative of lung cancer aggression (SILA) predicts lung adenocarcinomas with low malignant potential or vascular invasion.Cancer biomarkers : section A of Disease markers · 2025Article
- Radiomic score is prognostic in clinical stage I lung adenocarcinoma ≤2 cm undergoing surgery.Journal of thoracic disease · 2024Article
- Radiomics/Radiogenomics in Lung Cancer: Basic Principles and Initial Clinical Results.Cancers · 2022Review
- Article
- Radiomics in lung cancer for oncologists.Journal of clinical and translational research · 2020Article
- Do we need to see to believe?-radiomics for lung nodule classification and lung cancer risk stratification.Journal of thoracic disease · 2020Review
- Low-Dose CT Screening for Lung Cancer: Evidence from 2 Decades of Study.Radiology. Imaging cancer · 2020Review
- Are shape morphologies associated with survival? A potential shape-based biomarker predicting survival in lung cancer.Journal of cancer research and clinical oncology · 2019Article
- Quality assurance and quantitative imaging biomarkers in low-dose CT lung cancer screening.The British journal of radiology · 2018Review
- Computer Aided Nodule Analysis and Risk Yield (CANARY) characterization of adenocarcinoma: radiologic biopsy, risk stratification and future directions.Translational lung cancer research · 2018Review
- Software-based risk stratification of pulmonary adenocarcinomas manifesting as pure ground glass nodules on computed tomography.European radiology · 2018Article
- Added Value of Computer-aided CT Image Features for Early Lung Cancer Diagnosis with Small Pulmonary Nodules: A Matched Case-Control Study.Radiology · 2018Article
- Article
- Computer-Aided Nodule Assessment and Risk Yield (CANARY) may facilitate non-invasive prediction of EGFR mutation status in lung adenocarcinomas.Scientific reports · 2017Article
- Morphologic characteristics of pulmonary adenocarcinomas manifesting as pure ground-glass nodules on CT.Journal of thoracic disease · 2017Article
- While size matters-advanced "Radiomics" remain promising for the clinical management of ground glass opacities.Journal of thoracic disease · 2017Article
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Abstract
introductionLung cancer remains the leading cause of cancer-related deaths in the United States and worldwide. Adenocarcinoma is the most common type of lung cancer and encompasses lesions with widely variable clinical outcomes. In the absence of noninvasive risk stratification, individualized patient management remains challenging. Consequently a subgroup of pulmonary nodules of the lung adenocarcinoma spectrum is likely treated more aggressively than necessary.
methodsConsecutive patients with surgically resected pulmonary nodules of the lung adenocarcinoma spectrum (lesion size ≤3 cm, 2006-2009) and available presurgical high-resolution computed tomography (HRCT) imaging were identified at Mayo Clinic Rochester. All cases were classified using an unbiased Computer-Aided Nodule Assessment and Risk Yield (CANARY) approach based on the quantification of presurgical HRCT characteristics. CANARY-based classification was independently correlated to postsurgical progression-free survival.
resultsCANARY analysis of 264 consecutive patients identified three distinct subgroups. Independent comparisons of 5-year disease-free survival (DFS) between these subgroups demonstrated statistically significant differences in 5-year DFS, 100%, 72.7%, and 51.4%, respectively (p = 0.0005).
conclusionsNoninvasive CANARY-based risk stratification identifies subgroups of patients with pulmonary nodules of the adenocarcinoma spectrum characterized by distinct clinical outcomes. This technique may ultimately improve the current expert opinion-based approach to the management of these lesions by facilitating individualized patient management.
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