ArticlePloS one2016
MR Imaging of Pulmonary Nodules: Detection Rate and Accuracy of Size Estimation in Comparison to Computed Tomography.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.
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Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 71 citations in OpenAlex.
- Diagnostic Performance of MRI for the Detection of Pulmonary Nodules: A Systematic Review and Meta-Analysis.Radiology. Cardiothoracic imaging · 2024Pooled it
- Guideline
- Whole-Body MRI VersusCancers · 2026Article
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- Magnetic Resonance of Pulmonary Nodules in Oncological Patients: Are We Ready to Replace Chest CT in Detecting Extrathoracic Cancer?Current oncology (Toronto, Ont.) · 2025Article
- Magnetic Resonance Imaging in the Clinical Evaluation of Lung Disorders: Current Status and Future Prospects.Journal of magnetic resonance imaging : JMRI · 2025Review
- Improving image quality by comparing two chest MRI sequences: free-breathing T1-weighted Star-VIBE and breath-holding T1-weighted 3D VIBE Dixon.Radiologie (Heidelberg, Germany) · 2025Article
- MRI based volumetric lung nodule assessment - a comparison to computed tomography.Frontiers in medicine · 2025Article
- New developments in the imaging of lung cancer.Breathe (Sheffield, England) · 2024Review
- Feasibility of chest spiral 3D ultrashort echo time magnetic resonance imaging for intrathoracic metastasis work-up in breast cancer.Journal of thoracic disease · 2023Article
- Chest magnetic resonance imaging in cystic fibrosis: technique and clinical benefits.Pediatric radiology · 2023Review
- Ability of three-dimensional 3-Tesla ultrashort echo time magnetic resonance imaging to display the morphological characteristics of pulmonary nodules: a sensitivity analysis.Quantitative imaging in medicine and surgery · 2023Article
- Detection of solid and subsolid pulmonary nodules with lung MRI: performance of UTE, T1 gradient-echo, and single-shot T2 fast spin echo.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023Article
- Same-day comparative protocol PET/CT-PET/MRI [Cancer imaging : the official publication of the International Cancer Imaging Society · 2023Article
- Sensitivity and specificity of magnetic resonance imaging in routine diagnosis of pulmonary lesions: a comparison with computed tomography.Journal of thoracic disease · 2022Article
- State-of-the-art MR Imaging for Thoracic Diseases.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022Review
- The Application and Value of 3T Magnetic Resonance Imaging in the Display of Pulmonary Nodules.Frontiers in oncology · 2022Article
- Comparison Between Magnetic Resonance Imaging and Computed Tomography in the Detection and Volumetric Assessment of Lung Nodules: A Prospective Study.Frontiers in medicine · 2022Article
- Free-breathing radial 3D fat-suppressed T1-weighted gradient echo (r-VIBE) sequence for assessment of pulmonary lesions: a prospective comparison of CT and MRI.Cancer imaging : the official publication of the International Cancer Imaging Society · 2021Article
- Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aims of this study were to assess the sensitivity of various magnetic resonance imaging (MRI) sequences for the diagnosis of pulmonary nodules and to estimate the accuracy of MRI for the measurement of lesion size, as compared to computed tomography (CT).
methodsFifty patients with 113 pulmonary nodules diagnosed by CT underwent lung MRI and CT. MRI studies were performed on 1.5T scanner using the following sequences: T2-TSE, T2-SPIR, T2-STIR, T2-HASTE, T1-VIBE, and T1-out-of-phase. CT and MRI data were analyzed independently by two radiologists.
resultsThe overall sensitivity of MRI for the detection of pulmonary nodules was 80.5% and according to nodule size: 57.1% for nodules ≤4mm, 75% for nodules >4-6mm, 87.5% for nodules >6-8mm and 100% for nodules >8mm. MRI sequences yielded following sensitivities: 69% (T1-VIBE), 54.9% (T2-SPIR), 48.7% (T2-TSE), 48.7% (T1-out-of-phase), 45.1% (T2-STIR), 25.7% (T2-HASTE), respectively. There was very strong agreement between the maximum diameter of pulmonary nodules measured by CT and MRI (mean difference -0.02 mm; 95% CI -1.6-1.57 mm; Bland-Altman analysis).
conclusionsMRI yielded high sensitivity for the detection of pulmonary nodules and enabled accurate assessment of their diameter. Therefore it may be considered an alternative to CT for follow-up of some lung lesions. However, due to significant number of false positive diagnoses, it is not ready to replace CT as a tool for lung nodule detection.
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