ReviewEuropean respiratory review : an official journal of the European Respiratory Society2017
Lung nodules: size still matters.
Review in European respiratory review : an official journal of the European Respiratory Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07615556 (Circulating Tumor DNA Mutations and Methylation Status as Biomarkers for Early Detection of Lung Cancer in Patients With Suspicious Lung Nodules), which is not on this map. Cited by 86 papers, 3 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.
Circulating Tumor DNA Mutations and Methylation Status as Biomarkers for Early Detection of Lung Cancer in Patients With Suspicious Lung Nodules
Who cites it
86 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- 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
- Value of circulating tumor cell assisting low-dose computed tomography in screening pulmonary nodules based on existing liquid biopsy techniques: a systematic review with meta-analysis and trial sequential analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024Pooled it
- The infiltration risk prediction models by logistic regression for ground-glass pulmonary nodules: a systematic review and meta-analysis.Frontiers in oncology · 2024Pooled it
- Associations between CT characteristics of lung cancer lesions and histologic subtypes in lung cancer screening.European radiology · 2026Article
- The RATAB Framework: An Interpretable AI-Driven Radiographic Risk Stratification Model for Suspected Lung Lesions.Journal of imaging informatics in medicine · 2026Article
- A 10-Year Comprehensive, Single-Center, Retrospective Analysis on Juxtapleural Nodules: Insights into Classification and Risk.Diagnostics (Basel, Switzerland) · 2026Article
- A young female with seropositive rheumatoid arthritis complicated by cavitary rheumatoid nodules in the lung: Case report.Medicine · 2026Review
- The role of radiological imaging in differentiating malignant and benign pulmonary nodules: a retrospective study.BMC medical imaging · 2026Article
- Differential diagnosis of benign lesions and lung adenocarcinoma presenting as lung-RADS 2022 category 4B solid nodules based on multiscale CT radiomics.BMC cancer · 2026Article
- Evaluation of an Artificial Intelligence Defined Lung Nodule Malignancy Score in Incidental Pulmonary Nodules: The CREATE Study.Mayo Clinic proceedings. Digital health · 2026Article
- Incidental pulmonary findings on CT in daily practice: the nodule and the interstitial lung abnormalities - what's old, what's new.La Radiologia medica · 2026Review
- Evaluating the impact of deep learning-based image denoising on low-dose CT for lung cancer screening.Journal of applied clinical medical physics · 2026Article
- Multi-task learning for predicting pulmonary nodule growth and follow-up volume.Frontiers in oncology · 2026Article
- Diagnostic performance of artificial intelligence models for pulmonary nodule classification: a multi-model evaluation.European radiology · 2026Article
- Article
- Preoperative anxiety in patients undergoing minimally invasive thoracic surgery: A prospective study of predictors and Patient-Reported concerns.Scientific reports · 2025Article
- A novel method based on a multiscale convolution neural network for identifying lung nodules.Scientific reports · 2025Article
- Application of liquid biopsy in differentiating lung cancer from benign pulmonary nodules (Review).International journal of molecular medicine · 2025Review
- Prediction of Metastasis in Small Pulmonary Oligonodules Detected in Breast Cancer Patients at Baseline CT.The Kaohsiung journal of medical sciences · 2025Article
- Challenges and current practices in the management of pulmonary nodules in China: a mixed methods study.Journal of thoracic disease · 2025Article
26 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The incidence of indeterminate pulmonary nodules has risen constantly over the past few years. Determination of lung nodule malignancy is pivotal, because the early diagnosis of lung cancer could lead to a definitive intervention. According to the current international guidelines, size and growth rate represent the main indicators to determine the nature of a pulmonary nodule. However, there are some limitations in evaluating and characterising nodules when only their dimensions are taken into account. There is no single method for measuring nodules, and intrinsic errors, which can determine variations in nodule measurement and in growth assessment, do exist when performing measurements either manually or with automated or semi-automated methods. When considering subsolid nodules the presence and size of a solid component is the major determinant of malignancy and nodule management, as reported in the latest guidelines. Nevertheless, other nodule morphological characteristics have been associated with an increased risk of malignancy. In addition, the clinical context should not be overlooked in determining the probability of malignancy. Predictive models have been proposed as a potential means to overcome the limitations of a sized-based assessment of the malignancy risk for indeterminate pulmonary nodules.
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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.