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Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
Published on: May 19, 2023
MRI based volumetric lung nodule assessment - a comparison to computed tomography
Tatjana Dell1, Andreas Feisst1, Olga Ramig1
1Department of Diagnostic and Interventional Radiology, Quantitative Imaging Lab Bonn, University Hospital Bonn, Bonn, Germany.
Magnetic resonance imaging (MRI) provides accurate volumetric assessment of lung nodules, comparable to CT scans. This radiation-free MRI technique shows potential for lung nodule follow-up and screening.
Area of Science:
- Radiology
- Medical Imaging
- Pulmonology
Background:
- Nodule volumetry, including volume doubling time, offers superior discrimination between benign and malignant lung lesions compared to 2D imaging.
- Accurate lung nodule assessment is crucial for effective lung cancer screening and management.
Purpose of the Study:
- To evaluate the feasibility and accuracy of in-vivo magnetic resonance imaging (MRI)-based volumetric assessment for lung nodules larger than 6 mm.
- To compare MRI-based volumetry against computed tomography (CT), the current gold standard.
Main Methods:
- Subgroup analysis of 23 participants with 47 pulmonary nodules from a lung cancer screening program.
- Volumetric assessment using a 1.5 Tesla MRI and low-dose CT (LDCT) with a computer-aided diagnosis system.
- Statistical analysis including regression and Bland-Altman analysis to assess correlation and reproducibility.
Main Results:
- MRI-based nodule volumetry showed a strong linear relationship with LDCT (r² = 0.981, p < 0.001) with no significant systematic bias.
- Mean nodule volumes were comparable between MRI (1.1343 ± 3.1204 cm³) and LDCT (1.2197 ± 3.496 cm³).
- Good intra-reader (ICC = 0.7737) and moderate inter-reader (ICC = 0.7135) reproducibility were observed for MRI volumetry.
Conclusions:
- In-vivo MRI-based volumetry is a feasible and accurate method for assessing lung nodules ≥6 mm.
- MRI volumetry demonstrates comparable precision and minimal bias to CT, suggesting its potential as a radiation-free alternative.
- This technique holds promise for lung nodule follow-up and screening, reducing radiation exposure.
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