ArticleEJNMMI physics2022
Free-breathing 3D Stack of Stars GRE (StarVIBE) sequence for detecting pulmonary nodules in
Article in EJNMMI physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 11 citations in OpenAlex.
- AI-accelerated 3D gradient echo versus ultrashort echo time MRI for lung nodule detection and measurement.Radiology advances · 2026Article
- 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
- Comparison of diagnostic performance for pulmonary nodule detection between free-breathing spiral ultrashort echo time and free-breathing radial volumetric interpolated breath-hold examination.BMC medical imaging · 2025Article
- Whole-body magnetic resonance imaging with ultra-short echo time sequence versus fluorodeoxyglucose-positron emission tomography/computed tomography in detecting gynecologic metastases.Journal of clinical imaging science · 2025Article
- Unlocking the Potential of Chest MRI: Strategies for Establishing a Successful Practice.Journal of the Korean Society of Radiology · 2025Review
- Limited Additional Value of a Chest CT in Whole-Body Staging with PET-MRI: A Retrospective Cohort Study.Cancers · 2024Article
- Lung Nodules Missed in Initial Staging of Breast Cancer Patients in PET/MRI-Clinically Relevant?Cancers · 2022Article
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13 authors at 4 institutions in 1 country.
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Abstract
backgroundThe free-breathing T1-weighted 3D Stack of Stars GRE (StarVIBE) MR sequence potentially reduces artifacts in chest MRI. The purpose of this study was to evaluate StarVIBE for the detection of pulmonary nodules in MATERIAL AND
methodsIn this retrospective analysis, conducted on a prospective clinical trial cohort, 88 consecutive women with newly diagnosed breast cancer underwent both contrast-enhanced whole-body
resultsOut of 65 lung nodules detected in 36 patients with CT (3.7 ± 1.4 mm), StarVIBE was able to detect 31 (47.7%), VIBE 26 (40%) and HASTE 11 (16.8%), respectively. Overall, CT showed a significantly higher detectability than all MRI sequences combined (65 vs. 36, difference 44.6%, p < 0.001). The VIBE showed a significantly better detection rate than the HASTE (23.1%, p = 0.001). Detection rates between StarVIBE and VIBE did not significantly differ (7.7%, p = 0.27), but the StarVIBE showed a significant advantage detecting centrally located pulmonary nodules (66.7% vs. 16.7%, p = 0.031). There was a strong correlation in nodule size between CT and MRI sequences (HASTE: ρ = 0.80, p = 0.003; VIBE: ρ = 0.77, p < 0.001; StarVIBE: ρ = 0.78, p < 0.001). Mean image quality was rated as good to excellent for CT and MRI sequences.
conclusionThe overall lung nodule detection rate of StarVIBE was slightly, but not significantly, higher than conventional T1w VIBE and significantly higher than T2w HASTE. Detectability of centrally located nodules is better with StarVIBE than with VIBE. Nevertheless, all MRI analyses demonstrated considerably lower detection rates for small lung nodules, when compared to CT.
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