ArticleEuropean radiology2013
Sensitivity and accuracy of volumetry of pulmonary nodules on low-dose 16- and 64-row multi-detector CT: an anthropomorphic phantom study.
Article in European radiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline 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
- Accuracy of lung nodule volumetry in low-dose CT with iterative reconstruction: an anthropomorphic thoracic phantom study.The British journal of radiology · 2014Trial
- Comparing the detectability of pulmonary nodules on two ultra-high resolution CT scanners: a preliminary phantom study.European radiology · 2026Article
- High-energy X-ray phase-contrast CT of an adult human chest phantom.Scientific reports · 2025Article
- Needle artifact reduction during interventional CT procedures using a silver filter.BMC biomedical engineering · 2024Article
- 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
- Factors influencing the outcome of volumetry tools for pulmonary nodule analysis: a systematic review and attempted meta-analysis.Insights into imaging · 2023Review
- Managing Persistent Subsolid Nodules in Lung Cancer: Education, Decision Making, and Impact of Interval Growth Patterns.Diagnostics (Basel, Switzerland) · 2023Review
- Task-based validation and application of a scanner-specific CT simulator using an anthropomorphic phantom.Medical physics · 2022Article
- Volumetric analysis of pulmonary nodules: reducing the discrepancy between the diameter-based volume calculation and voxel-counting method.Quantitative imaging in medicine and surgery · 2022Article
- Cost-effectiveness of lung cancer screening by low-dose CT in China: a micro-simulation study.Journal of the National Cancer Center · 2022Article
- CT Volumetry of Convoluted Objects-A Simple Method Using Volume Averaging.Tomography (Ann Arbor, Mich.) · 2021Article
- Motion-corrected coronary calcium scores by a convolutional neural network: a robotic simulating study.European radiology · 2020Article
- Optimal beam quality for chest flat panel detector system: realistic phantom study.European radiology · 2019Article
- The Effect of CT Scan Parameters on the Measurement of CT Radiomic Features: A Lung Nodule Phantom Study.Computational and mathematical methods in medicine · 2019Article
- The clinical significance of indeterminate pulmonary nodules in melanoma patients at baseline and during follow-up chest CT.European journal of radiology open · 2019Article
- Influence of lung nodule margin on volume- and diameter-based reader variability in CT lung cancer screening.The British journal of radiology · 2018Article
- Interchangeability between real and three-dimensional simulated lung tumors in computed tomography: an interalgorithm volumetry study.Journal of medical imaging (Bellingham, Wash.) · 2018Article
- Pulmonary subsolid nodules: value of semi-automatic measurement in diagnostic accuracy, diagnostic reproducibility and nodule classification agreement.European radiology · 2018Article
- Current perspectives for the size measurement of screening-detected lung nodules.Journal of thoracic disease · 2018Article
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9 authors.
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Abstract
objectiveTo assess the sensitivity of detection and accuracy of volumetry by manual and semi-automated quantification of artificial pulmonary nodules in an anthropomorphic thoracic phantom on low-dose CT.
methodsFifteen artificial spherical nodules (diameter 3, 5, 8, 10 and 12 mm; CT densities -800, -630 and +100 HU) were randomly placed inside an anthropomorphic thoracic phantom. The phantom was examined on 16- and 64-row multidetector CT with a low-dose protocol. Two independent blinded observers screened for pulmonary nodules. Nodule diameter was measured manually, and volume calculated. For solid nodules (+100 HU), diameter and volume were also evaluated by semi-automated software. Differences in observed volumes between the manual and semi-automated method were evaluated by a t-test.
resultsSensitivity was 100 % for all nodules of >5 mm and larger, 60-80 % for solid and 0-20 % for non-solid 3-mm nodules. No false-positive nodules but high inter-observer reliability and inter-technique correlation were found. Volume was underestimated manually by 24.1 ± 14.0 % for nodules of any density, and 26.4 ± 15.5 % for solid nodules, compared with 7.6 ± 8.5 % (P < 0.01) semi-automatically.
conclusionIn an anthropomorphic phantom study, the sensitivity of detection is 100 % for nodules of >5 mm in diameter. Semi-automated volumetry yielded more accurate nodule volumes than manual measurements.
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