Trial reportThe New England journal of medicine2013
Probability of cancer in pulmonary nodules detected on first screening CT.
Trial report in The New England journal of medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 709 papers, 8 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Early Detection of Lung Cancer - A Pan Canadian Study
Screening for Lung Cancer in Subjects With Family History of Lung Cancer
Combined With Clinical and Imaging Features, the Prediction Model of Benign and Malignant Solid Pulmonary Nodules Was Constructed
Cutting-edge IMAGING Technologies to Improve the SAFEty and the Sustainability of LUNG Cancer Screening and the Accuracy of Non-invasive Lung Nodules Characterization
Who cites it
709 citing papers in PubMed, 8 syntheses or guidelines pooled it, 1,367 citations in OpenAlex.
- ACR Appropriateness Criteria® Indolent Lung Cancer.Journal of the American College of Radiology : JACR · 2026Guideline
- Risk prediction for lung cancer screening: a systematic review and meta-regression.European respiratory review : an official journal of the European Respiratory Society · 2026Pooled it
- Program Guidelines for the National Lung Cancer Screening Program: Targeted Lung Cancer Screening in High-Risk Individuals in Australia.The Medical journal of Australia · 2026Guideline
- ESR Essentials: lung cancer screening with low-dose CT-practice recommendations by the European Society of Thoracic Imaging.European radiology · 2026Guideline
- Lung cancer screening with low-dose CT: definition of positive, indeterminate, and negative screen results. A nodule management recommendation from the European Society of Thoracic Imaging.European radiology · 2026Guideline
- Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation.Health technology assessment (Winchester, England) · 2025Pooled it
- Risk factors for malignant solid pulmonary nodules: a meta-analysis.BMC cancer · 2025Pooled it
- Pooled it
- A Real-World Assessment of Stage I Lung Cancer Through Electronic Nose Technology.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2024Trial
- Comparative diagnostic value of a blood-based three-gene DNA methylation assay and a seven-autoantibody panel for differentiating pulmonary nodules.The journal of liquid biopsy · 2026Article
- Differentiating benign from malignant pulmonary nodules in the context of bronchiectasis: a retrospective study.Annals of medicine · 2026Article
- Impact of Consolidation-to-Tumor Ratio on Prognosis After Radiation therapy for Lung Cancer With a Lesion Diameter of 3 cm or Less.Advances in radiation oncology · 2026Article
- Pulmonary nodules: classification, biomarkers, signaling pathways, diseases, early diagnosis and management.Signal transduction and targeted therapy · 2026Review
- Radiomics machine learning models for lung cancer early diagnosis in heterogenous multicentre chest CT data: LIBRA study results.European radiology experimental · 2026Article
- Article
- Sensitivity for Malignancy with Navigation Bronchoscopy in Small Lung Nodules.Advances in respiratory medicine · 2026Article
- A Re-parameterized Network-Based Lightweight Multimodal Fusion Network for Early Lung Cancer Risk Prediction.Interdisciplinary sciences, computational life sciences · 2026Article
- Commercial AI for CT lung cancer screening: product capabilities, coverage of nodule management tasks and supporting evidence.European radiology · 2026Article
- Radiologist review at the time of lung nodule referrals saves clinic appointments and fast tracks investigations: results of the outpatient respiratory nodule management (Ornament) study.Internal medicine journal · 2026Article
- Semantic CT features and differentiation model: new primary lung cancer versus metastasis after previous malignancy.European radiology · 2026Article
649 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
33 authors at 14 institutions in 3 countries.
Funding
Abstract
backgroundMajor issues in the implementation of screening for lung cancer by means of low-dose computed tomography (CT) are the definition of a positive result and the management of lung nodules detected on the scans. We conducted a population-based prospective study to determine factors predicting the probability that lung nodules detected on the first screening low-dose CT scans are malignant or will be found to be malignant on follow-up.
methodsWe analyzed data from two cohorts of participants undergoing low-dose CT screening. The development data set included participants in the Pan-Canadian Early Detection of Lung Cancer Study (PanCan). The validation data set included participants involved in chemoprevention trials at the British Columbia Cancer Agency (BCCA), sponsored by the U.S. National Cancer Institute. The final outcomes of all nodules of any size that were detected on baseline low-dose CT scans were tracked. Parsimonious and fuller multivariable logistic-regression models were prepared to estimate the probability of lung cancer.
resultsIn the PanCan data set, 1871 persons had 7008 nodules, of which 102 were malignant, and in the BCCA data set, 1090 persons had 5021 nodules, of which 42 were malignant. Among persons with nodules, the rates of cancer in the two data sets were 5.5% and 3.7%, respectively. Predictors of cancer in the model included older age, female sex, family history of lung cancer, emphysema, larger nodule size, location of the nodule in the upper lobe, part-solid nodule type, lower nodule count, and spiculation. Our final parsimonious and full models showed excellent discrimination and calibration, with areas under the receiver-operating-characteristic curve of more than 0.90, even for nodules that were 10 mm or smaller in the validation set.
conclusionsPredictive tools based on patient and nodule characteristics can be used to accurately estimate the probability that lung nodules detected on baseline screening low-dose CT scans are malignant. (Funded by the Terry Fox Research Institute and others; ClinicalTrials.gov number, NCT00751660.).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.