ArticleEuropean radiology2018
Software-based risk stratification of pulmonary adenocarcinomas manifesting as pure ground glass nodules on computed tomography.
Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Radiomics to understand pre-treatment tumor biology for resectable non-small cell lung cancer.Frontiers in oncology · 2026Review
- 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
- Software-based quantitative CT analysis to predict the growth trend of persistent nonsolid pulmonary nodules: a retrospective study.La Radiologia medica · 2023Article
- Predicting the histological invasiveness of pulmonary adenocarcinoma manifesting as persistent pure ground-glass nodules by ultra-high-resolution CT target scanning in the lateral or oblique body position.Quantitative imaging in medicine and surgery · 2021Article
- Deep Learning-Based Stage-Wise Risk Stratification for Early Lung Adenocarcinoma in CT Images: A Multi-Center Study.Cancers · 2021Article
- Screen-detected solid nodules: from detection of nodule to structured reporting.Translational lung cancer research · 2021Review
- Article
- Assessing invasiveness of subsolid lung adenocarcinomas with combined attenuation and geometric feature models.Scientific reports · 2020Article
- What's New on Quantitative CT Analysis as a Tool to Predict Growth in Persistent Pulmonary Subsolid Nodules? A Literature Review.Diagnostics (Basel, Switzerland) · 2020Review
- Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan.Frontiers in oncology · 2020Article
- Visceral Pleural Invasion in Pulmonary Adenocarcinoma: Differences in CT Patterns between Solid and Subsolid Cancers.Radiology. Cardiothoracic imaging · 2019Article
- Spread through air spaces in lung adenocarcinoma: is radiology reliable yet?Journal of thoracic disease · 2019Article
- CT diagnosis of pleural and stromal invasion in malignant subpleural pure ground-glass nodules: an exploratory study.European radiology · 2019Article
- Computer Aided Nodule Analysis and Risk Yield (CANARY) characterization of adenocarcinoma: radiologic biopsy, risk stratification and future directions.Translational lung cancer research · 2018Review
- Pulmonary quantitative CT imaging in focal and diffuse disease: current research and clinical applications.The British journal of radiology · 2018Review
- Hilly or mountainous surface: a new CT feature to predict the behavior of pure ground glass nodules?European journal of radiology open · 2018Article
- 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
- Adenocarcinoma in pure ground glass nodules: histological evidence of invasion and open debate on optimal management.Journal of thoracic disease · 2017Article
- Prognostic Predicting Model of Pancreatic Body Tail Carcinoma Using Clinical and CT Radiomic Data.Technology in cancer research & treatmentArticle
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6 authors.
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Abstract
objectivesTo assess the performance of the "Computer-Aided Nodule Assessment and Risk Yield" (CANARY) software in the differentiation and risk assessment of histological subtypes of lung adenocarcinomas manifesting as pure ground glass nodules on computed tomography (CT).
methods64 surgically resected and histologically proven adenocarcinomas manifesting as pure ground-glass nodules on CT were assessed using CANARY software, which classifies voxel-densities into three risk components (low, intermediate, and high risk). Differences in risk components between histological adenocarcinoma subtypes were analysed. To determine the optimal threshold reflecting the presence of an invasive focus, sensitivity, specificity, negative predictive value, and positive predictive value were calculated.
results28/64 (44%) were adenocarcinomas in situ (AIS); 26/64 (41%) were minimally invasive adenocarcinomas (MIA); and 10/64 (16%) were invasive ACs (IAC). The software showed significant differences in risk components between histological subtypes (P<0.001-0.003). A relative volume of 45% or less of low-risk components was associated with histological invasiveness (specificity 100%, positive predictive value 100%).
conclusionsCANARY-based risk assessment of ACs manifesting as pure ground glass nodules on CT allows the differentiation of their histological subtypes. A threshold of 45% of low-risk components reflects invasiveness in these groups. KEY POINTS: • CANARY-based risk assessment allows the differentiation of their histological subtypes. • 45% or less of low-risk component reflects histological invasiveness. • CANARY has potential role in suspected adenocarcinomas manifesting as pure ground-glass nodules.
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