1
|
Bah MG, Dowlati E, Fleigner M, Koduri S, Pandey A, Lin LY, Chenevert TL, Troost J, Xi G, Keep R, Chaudhary N. MR Imaging-based Biomarker Development in Hemorrhagic Stroke Patients Including Brain Iron Quantification, Diffusion Tensor Imaging, and Phenomenon of Ultra-early Erythrolysis. Neuroimaging Clin N Am 2024; 34:215-224. [PMID: 38604706 DOI: 10.1016/j.nic.2024.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
This review article discusses the role of MR imaging-based biomarkers in understanding and managing hemorrhagic strokes, focusing on intracerebral hemorrhage (ICH) and aneurysmal subarachnoid hemorrhage. ICH is a severe type of stroke with high mortality and morbidity rates, primarily caused by the rupture of small blood vessels in the brain, resulting in hematoma formation. MR imaging-based biomarkers, including brain iron quantification, ultra-early erythrolysis detection, and diffusion tensor imaging, offer valuable insights for hemorrhagic stroke management. These biomarkers could improve early diagnosis, risk stratification, treatment monitoring, and patient outcomes in the future, revolutionizing our approach to hemorrhagic strokes.
Collapse
Affiliation(s)
- Momodou G Bah
- Michigan State University College of Human Medicine, Lansing, MI, USA
| | - Ehsan Dowlati
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI 48109, USA
| | - Max Fleigner
- Oakland University, William Beaumont School of Medicine, Detroit, MI, USA
| | - Sravanthi Koduri
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI 48109, USA
| | - Aditya Pandey
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI 48109, USA; Department of Radiology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Leanne Y Lin
- Department of Radiology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Thomas L Chenevert
- Department of Radiology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jonathan Troost
- Michigan Institute for Clinical and Health Research, University of Michigan, Ann Arbor, MI 48109, USA
| | - Guohua Xi
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI 48109, USA
| | - Richard Keep
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI 48109, USA
| | - Neeraj Chaudhary
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI 48109, USA; Department of Radiology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Otorhinolaryngology, University of Michigan, Ann Arbor, MI 48109, USA.
| |
Collapse
|
2
|
Boss A, Heeb L, Vats D, Starsich FHL, Balfourier A, Herrmann IK, Gupta A. Assessment of iron nanoparticle distribution in mouse models using ultrashort-echo-time MRI. NMR IN BIOMEDICINE 2022; 35:e4690. [PMID: 34994020 PMCID: PMC9286043 DOI: 10.1002/nbm.4690] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 12/29/2021] [Accepted: 12/30/2021] [Indexed: 06/14/2023]
Abstract
Microscopic magnetic field inhomogeneities caused by iron deposition or tissue-air interfaces may result in rapid decay of transverse magnetization in MRI. The aim of this study is to detect and quantify the distribution of iron-based nanoparticles in mouse models by applying ultrashort-echo-time (UTE) sequences in tissues exhibiting extremely fast transverse relaxation. In 24 C57BL/6 mice (two controls), suspensions containing either non-oxidic Fe or AuFeOx nanoparticles were injected into the tail vein at two doses (200 μg and 600 μg per mouse). Mice underwent MRI using a UTE sequence at 4.7 T field strength with five different echo times between 100 μs and 5000 μs. Transverse relaxation times T2 * were computed for the lung, liver, and spleen by mono-exponential fitting. In UTE imaging, the MRI signal could reliably be detected even in liver parenchyma exhibiting the highest deposition of nanoparticles. In animals treated with Fe nanoparticles (600 μg per mouse), the relaxation time substantially decreased in the liver (3418 ± 1534 μs (control) versus 228 ± 67 μs), the spleen (2170 ± 728 μs versus 299 ± 97 μs), and the lungs (663 ± 101 μs versus 413 ± 99 μs). The change in transverse relaxation was dependent on the number and composition of the nanoparticles. By pixel-wise curve fitting, T2 * maps were calculated showing nanoparticle distribution. In conclusion, UTE sequences may be used to assess and quantify nanoparticle distribution in tissues exhibiting ultrafast signal decay in MRI.
Collapse
Affiliation(s)
- Andreas Boss
- Institute of Diagnostic and Interventional RadiologyUniversity Hospital ZurichZurichSwitzerland
| | - Laura Heeb
- Division of Visceral SurgeryUniversity Hospital ZurichZurichSwitzerland
| | | | - Fabian H. L. Starsich
- Laboratory for Particles‐Biology InteractionsSwiss Federal Laboratories for Materials Science and Technology (Empa)St. GallenSwitzerland
- Department of Mechanical and Process Engineering, ETH ZurichNanoparticle Systems Engineering LaboratoryZurichSwitzerland
| | - Alice Balfourier
- Laboratory for Particles‐Biology InteractionsSwiss Federal Laboratories for Materials Science and Technology (Empa)St. GallenSwitzerland
- Department of Mechanical and Process Engineering, ETH ZurichNanoparticle Systems Engineering LaboratoryZurichSwitzerland
| | - Inge K. Herrmann
- Laboratory for Particles‐Biology InteractionsSwiss Federal Laboratories for Materials Science and Technology (Empa)St. GallenSwitzerland
- Department of Mechanical and Process Engineering, ETH ZurichNanoparticle Systems Engineering LaboratoryZurichSwitzerland
| | - Anurag Gupta
- Division of Visceral SurgeryUniversity Hospital ZurichZurichSwitzerland
| |
Collapse
|
3
|
Wang C, Reeder SB, Hernando D. Relaxivity-iron calibration in hepatic iron overload: Reproducibility and extension of a Monte Carlo model. NMR IN BIOMEDICINE 2021; 34:e4604. [PMID: 34462976 PMCID: PMC9019851 DOI: 10.1002/nbm.4604] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 07/12/2021] [Accepted: 08/01/2021] [Indexed: 05/04/2023]
Abstract
The aim of this study was to reproduce relaxivity-iron calibration in hepatic iron overload using a Monte Carlo model, and further extend the model with multiple spin echo (MSE) imaging. As previously reported, relationships between relaxation rates ( R2* and single spin echo R2 ) and liver iron concentration (LIC) can be characterized by a Monte Carlo model incorporating realistic liver structure, iron distribution, and proton mobility. In this study, relaxivity-iron calibration curves at 1.5 and 3.0 T were simulated using the Monte Carlo model. Furthermore, the model was extended with MSE imaging, and iron calibrations were evaluated using two different fitting models: mononexponential with a constant offset and nonmonoexponential. Results consistent with previous empirical calibrations and Monte Carlo predictions were accurately reproduced for relaxivity-iron calibration. The predicted R2* and single spin echo R2 increased by a factor of 2.00 and 1.51, respectively, at 1.5 versus 3.0 T. MSE signals and their corresponding R2 depended strongly on LIC, interecho time, and field strength. Preliminary results showed that a nonmonoexponential model accurately characterizes the simulated MSE signals, and that strong correlations were found between predicted relaxation parameters and LIC. In conclusion, relaxivity-iron calibration is reproducible using the proposed Monte Carlo model. Furthermore, this model can be readily extended to other important applications, including predicting signal behavior for MSE imaging.
Collapse
Affiliation(s)
- Changqing Wang
- School of Biomedical Engineering, Anhui Medical University, Hefei, China
- Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA
| | - Scott B. Reeder
- Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA
- Department of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA
- Department of Biomedical Engineering, University of Wisconsin, Madison, Wisconsin, USA
- Department of Medicine, University of Wisconsin, Madison, Wisconsin, USA
- Department of Emergency Medicine, University of Wisconsin, Madison, Wisconsin, USA
| | - Diego Hernando
- Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA
- Department of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA
- Corresponding author: Diego Hernando, PhD, Room 2474, Wisconsin Institutes for Medical Research (WIMR-2), 1111 Highland Avenue, Madison, WI 53705, (608) 265-7590,
| |
Collapse
|
4
|
Optimisation of T2 and T2* sequences in MRI for better quantification of iron on transfused dependent sickle cell patients. Sci Rep 2021; 11:8513. [PMID: 33875765 PMCID: PMC8055987 DOI: 10.1038/s41598-021-88116-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 04/07/2021] [Indexed: 11/08/2022] Open
Abstract
This work aimed to investigate the effect of different shim techniques, voxel sizes, and repetition time (TR) on using theT2 and T2* sequences to determine their optimum settings to investigate the quantification of iron in transfused dependent sickle cell patients. The effect of each of these parameters was investigated on phantoms of different Gadolinium (Gd) concentrations, on 10 volunteers and 25 patients using a1 5T MRI Philips scanner. No significant difference between the three shim techniques was noticed in either T2 or T2* sequence measurements. Pixel sizes of 1 × 1 and 2 × 2 mm provided optimum results for T2 measurements. At 1 × 1 mm pixel size the T2* measurements experienced less error in measurements than the size of 2.5 × 2.5 mm used in the literature. Even though the slice thickness variation did not provide any changes in T2 measurements, the 12 mm provided optimum T2* measurements. TR variation did not yield significant changes on either T2 or T2* measurements. These results indicate that both T2 and T2* sequences can be further improved by providing more reliable measurements and reducing acquisition time.
Collapse
|
5
|
Perihematomal Cerebral Tissue Iron Quantification on MRI Following Intracerebral Hemorrhage in Two Human Subjects: Proof of Principle. ACTA NEUROCHIRURGICA SUPPLEMENT 2016; 121:179-83. [DOI: 10.1007/978-3-319-18497-5_32] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
|
6
|
Tang H, Jensen JH, Sammet CL, Sheth S, Swaminathan SV, Hultman K, Kim D, Wu EX, Brown TR, Brittenham GM. MR characterization of hepatic storage iron in transfusional iron overload. J Magn Reson Imaging 2013; 39:307-16. [PMID: 23720394 DOI: 10.1002/jmri.24171] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2012] [Accepted: 03/15/2013] [Indexed: 01/09/2023] Open
Abstract
PURPOSE To quantify the two principal forms of hepatic storage iron, diffuse, soluble iron (primarily ferritin), and aggregated, insoluble iron (primarily hemosiderin) using a new MRI method in patients with transfusional iron overload. MATERIALS AND METHODS Six healthy volunteers and 20 patients with transfusion-dependent thalassemia syndromes and iron overload were examined. Ferritin- and hemosiderin-like iron were determined based on the measurement of two distinct relaxation parameters: the "reduced" transverse relaxation rate, RR2 , and the "aggregation index," A, using three sets of Carr-Purcell-Meiboom-Gill (CPMG) datasets with different interecho spacings. Agarose phantoms, simulating the relaxation and susceptibility properties of tissue with different concentrations of dispersed (ferritin-like) and aggregated (hemosiderin-like) iron, were used for validation. RESULTS Both phantom and in vivo human data confirmed that transverse relaxation components associated with the dispersed and aggregated iron could be separated using the two-parameter (RR2 , A) method. The MRI-determined total hepatic storage iron was highly correlated (r = 0.95) with measurements derived from biopsy or biosusceptometry. As total hepatic storage iron increased, the proportion stored as aggregated iron became greater. CONCLUSION This method provides a new means for noninvasive MRI determination of the partition of hepatic storage iron between ferritin and hemosiderin in iron overload disorders.
Collapse
Affiliation(s)
- Haiying Tang
- Imaging, Discovery Medicine & Clinical Pharmacology, Bristol Myers Squibb, Princeton, New Jersey, USA
| | | | | | | | | | | | | | | | | | | |
Collapse
|