Free-breathing 3D Stack of Stars GRE (StarVIBE) sequence for detecting pulmonary nodules in 18F-FDG PET/MRI

Autor: Nils Martin Bruckmann, Julian Kirchner, Janna Morawitz, Lale Umutlu, Wolfgang P. Fendler, Ken Herrmann, Ann-Kathrin Bittner, Oliver Hoffmann, Tanja Fehm, Maike E. Lindemann, Christian Buchbender, Gerald Antoch, Lino M. Sawicki
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: EJNMMI Physics, Vol 9, Iss 1, Pp 1-14 (2022)
Druh dokumentu: article
ISSN: 2197-7364
DOI: 10.1186/s40658-022-00439-1
Popis: Abstract Background The 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 18F-FDG PET/MRI. Material and methods In this retrospective analysis, conducted on a prospective clinical trial cohort, 88 consecutive women with newly diagnosed breast cancer underwent both contrast-enhanced whole-body 18F-FDG PET/MRI and computed tomography (CT). Patients’ chests were examined on CT as well as on StarVIBE and conventional T1-weighted VIBE and T2-weighted HASTE MR sequences, with CT serving as the reference standard. Presence, size, and location of all detectable lung nodules were assessed. Wilcoxon test was applied to compare nodule features and Pearson’s, and Spearman’s correlation coefficients were calculated. Results Out 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
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