ArticleEuropean radiology2018
Pulmonary subsolid nodules: value of semi-automatic measurement in diagnostic accuracy, diagnostic reproducibility and nodule classification agreement.
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 22 papers, 2 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 2 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
- The long-term course of subsolid nodules and predictors of interval growth on chest CT: a systematic review and meta-analysis.European radiology · 2023Pooled it
- Assessment of risk factors in persistent subsolid pulmonary nodules based on CT dynamic follow-up.BMC medical imaging · 2026Article
- Scientific evidence of commercial artificial intelligence products for pulmonary nodule assessment on CT scans: a systematic review.European radiology · 2026Article
- Impact of artificial intelligence assistance on bone scintigraphy diagnosis.Physical and engineering sciences in medicine · 2025Article
- Natural course of lung adenocarcinoma manifesting as ground-glass nodules: invasiveness assessment based on growth evaluation.Translational lung cancer research · 2025Article
- Article
- Translating potential improvement in the precision and accuracy of lung nodule measurements on computed tomography scans by software derived from artificial intelligence into impact on clinical practice-a simulation study.BJR artificial intelligence · 2024Article
- Potential of artificial intelligence based on chest computed tomography to predict the nature of part-solid nodules.The clinical respiratory journal · 2023Article
- How does artificial intelligence in radiology improve efficiency and health outcomes?Pediatric radiology · 2022Review
- The natural growth history of persistent pulmonary subsolid nodules: Radiology, genetics, and clinical management.Frontiers in oncology · 2022Review
- Saudi Radiology Personnel's Perceptions of Artificial Intelligence Implementation: A Cross-Sectional Study.Journal of multidisciplinary healthcare · 2021Article
- Efficacy of measuring the invasive diameter of lung adenocarcinoma using mediastinal window settings: A retrospective study.Medicine · 2020Article
- Article
- Test-retest reproducibility of a deep learning-based automatic detection algorithm for the chest radiograph.European radiology · 2020Article
- A simple prediction model using size measures for discrimination of invasive adenocarcinomas among incidental pulmonary subsolid nodules considered for resection.European radiology · 2019Observational
- Implication of total tumor size on the prognosis of patients with clinical stage IA lung adenocarcinomas appearing as part-solid nodules: Does only the solid portion size matter?European radiology · 2019Observational
- Quantitative features can predict further growth of persistent pure ground-glass nodule.Quantitative imaging in medicine and surgery · 2019Article
- An Appraisal of Lung Nodules Automatic Classification Algorithms for CT Images.Sensors (Basel, Switzerland) · 2019Review
- Evaluation of T categories for pure ground-glass nodules with semi-automatic volumetry: is mass a better predictor of invasive part size than other volumetric parameters?European radiology · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectivesWe hypothesized that semi-automatic diameter measurements would improve the accuracy and reproducibility in discriminating preinvasive lesions and minimally invasive adenocarcinomas from invasive pulmonary adenocarcinomas appearing as subsolid nodules (SSNs) and increase the reproducibility in classifying SSNs.
methodsTwo readers independently performed semi-automatic and manual measurements of the diameters of 102 SSNs and their solid portions. Diagnostic performance in predicting invasive adenocarcinoma based on diameters was tested using logistic regression analysis with subsequent receiver operating characteristic curves. Inter- and intrareader reproducibilities of diagnosis and SSN classification according to Fleischner's guidelines were investigated for each measurement method using Cohen's κ statistics.
resultsSemi-automatic effective diameter measurements were superior to manual average diameters for the diagnosis of invasive adenocarcinoma (AUC, 0.905-0.923 for semi-automatic measurement and 0.833-0.864 for manual measurement; p<0.05). Reproducibility of diagnosis between the readers also improved with semi-automatic measurement (κ=0.924 for semi-automatic measurement and 0.690 for manual measurement, p=0.012). Inter-reader SSN classification reproducibility was significantly higher with semi-automatic measurement (κ=0.861 for semi-automatic measurement and 0.683 for manual measurement, p=0.022).
conclusionsSemi-automatic effective diameter measurement offers an opportunity to improve diagnostic accuracy and reproducibility as well as the classification reproducibility of SSNs. KEY POINTS: • Semi-automatic effective diameter measurement improves the diagnostic accuracy for pulmonary subsolid nodules. • Semi-automatic measurement increases the inter-reader agreement on the diagnosis for subsolid nodules. • Semi-automatic measurement augments the inter-reader reproducibility for the classification of subsolid nodules.
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