Background: Myocardial quantitative susceptibility mapping (QSM) may offer better specificity to iron than conventional T* imaging in the assessment of cardiac diseases, including intra-myocardial hemorrhage. However, the precision and repeatability of cardiac QSM have not yet been characterized. The aim of this study is to characterize these key metrics in a healthy volunteer cohort and show the feasibility of the method in patients.
Methods: Free breathing respiratory-navigated multi-echo 3D gradient echo images were acquired, from which QSM maps were reconstructed using the Morphology Enhanced Dipole Inversion toolbox. This technique was first evaluated in a susceptibility phantom containing tubes with known concentrations of gadolinium. In vivo characterization of myocardial QSM was then performed in a cohort of 10 healthy volunteers where each subject was scanned twice. Mean segment susceptibility, precision (standard deviation of voxel magnetic susceptibilities within one segment), and repeatability (absolute difference in segment mean susceptibility between repeats) of QSM were calculated for each American Heart Association (AHA) myocardial segment. Finally, the feasibility of the method was shown in 10 patients, including four with hemorrhagic infarcts.
Results: The phantom experiment showed a strong linear relationship between measured and predicted susceptibility shifts (R > 0.99). For the healthy volunteer cohort, AHA segment analysis showed the mean segment susceptibility was 0.00 ± 0.02 ppm, the mean precision was 0.05 ± 0.04 ppm, and the mean repeatability was 0.02 ± 0.02 ppm. Cardiac QSM was successfully performed in all patients. Focal iron deposits were successfully visualized in the patients with hemorrhagic myocardial infarctions.
Conclusion: The precision and repeatability of cardiac QSM were successfully characterized in phantom and in vivo experiments. The feasibility of the technique was also successfully demonstrated in patients. While challenges still remain, further clinical evaluation of the technique is now warranted.
Trial Registration: This work does not report on a health care intervention.
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http://dx.doi.org/10.1016/j.jocmr.2024.101000 | DOI Listing |
Radiol Cardiothorac Imaging
December 2024
From the Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Blvd, Pacific Theatres Bldg, Ste 400, Los Angeles, CA 90048 (Y.H., L.T.H., H.L.L., D.L., H. Han, A.G.C., H.J.Y.); Krannert Cardiovascular Research Center, Indiana University School of Medicine, Indianapolis, Ind (Y.H., X.G., X.Z., G.Y., G.A., S.F.C., K.P.V., B.S., D.P.S., K.Y., R.D.); Departments of Bioengineering (Y.H., X.Z., A.G.C.) and Statistics (H. Ho), University of California Los Angeles, Los Angeles, Calif; Academia Sinica, Institute of Statistical Science, Nankang, Taipei, Taiwan (H. Ho); Department of Surgery, Division of Neurosurgery, Mackay Memorial Hospital, Taipei, Taiwan (L.T.H.); Department of Medical Imaging, National Cheng Kung University Hospital, Tainan, Taiwan (H.Y.L.); Siemens Medical Solutions USA, Malvern, Pa (X.B., F.H.); and Department of Radiological Sciences, University of California Los Angeles David Geffen School of Medicine, Los Angeles, Calif (A.G.C.).
Purpose To evaluate the performance of a high-dynamic-range quantitative susceptibility mapping (HDR-QSM) cardiac MRI technique to detect intramyocardial hemorrhage (IMH) and quantify iron content using phantom and canine models. Materials and Methods A free-running whole-heart HDR-QSM technique for IMH assessment was developed and evaluated in calibrated iron phantoms and 14 IMH female canine models. IMH detection and iron content quantification performance of this technique was compared with the conventional iron imaging approaches, R2*(1/T2*) maps, using measurements from ex vivo imaging as the reference standard.
View Article and Find Full Text PDFMagn Reson Med
December 2024
Department of Radiology, Weill Cornell Medicine, New York, New York, USA.
Purpose: To develop a breath-hold cardiac quantitative susceptibility mapping (QSM) sequence for noninvasive measurement of differential cardiac chamber blood oxygen saturation (ΔSO).
Methods: A non-gated three-dimensional stack-of-spirals QSM sequence was implemented to continuously sample the data throughout the cardiac cycle. Measurements of ΔSO between the right and left heart chamber obtained by the proposed sequence and a previously validated navigator Cartesian QSM sequence were compared in three cohorts consisting of healthy volunteers, coronavirus disease 2019 survivors, and patients with pulmonary hypertension.
J Med Imaging (Bellingham)
July 2024
Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, Paris, France.
Purpose: Deep learning is the standard for medical image segmentation. However, it may encounter difficulties when the training set is small. Also, it may generate anatomically aberrant segmentations.
View Article and Find Full Text PDFMult Scler
April 2024
Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
Background: Paramagnetic rim lesions (PRLs) have been linked to higher clinical disease severity and relapse frequency. However, it remains unclear whether PRLs predict future, long-term disease progression.
Objectives: The study aimed to assess whether baseline PRLs were associated with subsequent long-term (10 years) Expanded Disability Status Scale (EDSS) increase and relapse frequency and, if so, whether PRL-associated EDSS increase was mediated by relapse.
J Cardiovasc Magn Reson
June 2024
School of Biomedical Engineering and Imaging Sciences, Kings College London, St Thomas' Hospital, London, United Kingdom. Electronic address:
Background: Myocardial quantitative susceptibility mapping (QSM) may offer better specificity to iron than conventional T* imaging in the assessment of cardiac diseases, including intra-myocardial hemorrhage. However, the precision and repeatability of cardiac QSM have not yet been characterized. The aim of this study is to characterize these key metrics in a healthy volunteer cohort and show the feasibility of the method in patients.
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