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Sahin S, Garnæs MF, Bennett A, Dwork N, Tang S, Liu X, Vaidya M, Wang ZJ, Larson PE. A pharmacokinetic model for hyperpolarized 13C-pyruvate MRI when using metabolite-specific bSSFP sequences. Magn Reson Med 2024; 92:1698-1713. [PMID: 38775035 PMCID: PMC11262974 DOI: 10.1002/mrm.30142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Revised: 04/05/2024] [Accepted: 04/16/2024] [Indexed: 06/07/2024]
Abstract
PURPOSE Metabolite-specific balanced SSFP (MS-bSSFP) sequences are increasingly used in hyperpolarized [1-13C]Pyruvate (HP 13C) MRI studies as they improve SNR by refocusing the magnetization each TR. Currently, pharmacokinetic models used to fit conversion rate constants, kPL and kPB, and rate constant maps do not account for differences in the signal evolution of MS-bSSFP acquisitions. METHODS In this work, a flexible MS-bSSFP model was built that can be used to fit conversion rate constants for these experiments. The model was validated in vivo using paired animal (healthy rat kidneys n = 8, transgenic adenocarcinoma of the mouse prostate n = 3) and human renal cell carcinoma (n = 3) datasets. Gradient echo (GRE) acquisitions were used with a previous GRE model to compare to the results of the proposed GRE-bSSFP model. RESULTS Within simulations, the proposed GRE-bSSFP model fits the simulated data well, whereas a GRE model shows bias because of model mismatch. For the in vivo datasets, the estimated conversion rate constants using the proposed GRE-bSSFP model are consistent with a previous GRE model. Jointly fitting the lactate T2 with kPL resulted in less precise kPL estimates. CONCLUSION The proposed GRE-bSSFP model provides a method to estimate conversion rate constants, kPL and kPB, for MS-bSSFP HP 13C experiments. This model may also be modified and used for other applications, for example, estimating rate constants with other hyperpolarized reagents or multi-echo bSSFP.
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Affiliation(s)
- Sule Sahin
- UC Berkeley – UCSF Graduate Program in Bioengineering
- Radiology and Biomedical Imaging, University of California, San Francisco
| | | | - Anna Bennett
- Radiology and Biomedical Imaging, University of California, San Francisco
| | - Nicholas Dwork
- Biomedical Informatics and Radiology, University of Colorado Anschutz Medical Campus
| | | | - Xiaoxi Liu
- Radiology and Biomedical Imaging, University of California, San Francisco
| | - Manushka Vaidya
- Radiology and Biomedical Imaging, University of California, San Francisco
| | - Zhen Jane Wang
- Radiology and Biomedical Imaging, University of California, San Francisco
| | - Peder E.Z. Larson
- UC Berkeley – UCSF Graduate Program in Bioengineering
- Radiology and Biomedical Imaging, University of California, San Francisco
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Guarin DO, Joshi SM, Samoilenko A, Kabir MSH, Hardy EE, Takahashi AM, Ardenkjaer-Larsen JH, Chekmenev EY, Yen YF. Development of Dissolution Dynamic Nuclear Polarization of [ 15 N 3 ]Metronidazole: A Clinically Approved Antibiotic. Angew Chem Int Ed Engl 2023; 62:e202219181. [PMID: 37247411 PMCID: PMC10524734 DOI: 10.1002/anie.202219181] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 05/12/2023] [Accepted: 05/26/2023] [Indexed: 05/31/2023]
Abstract
We report dissolution Dynamic Nuclear Polarization (d-DNP) of [15 N3 ]metronidazole ([15 N3 ]MNZ) for the first time. Metronidazole is a clinically approved antibiotic, which can be potentially employed as a hypoxia-sensing molecular probe using 15 N hyperpolarized (HP) nucleus. The DNP process is very efficient for [15 N3 ]MNZ with an exponential build-up constant of 13.8 min using trityl radical. After dissolution and sample transfer to a nearby 4.7 T Magnetic Resonance Imaging scanner, HP [15 N3 ]MNZ lasted remarkably long with T1 values up to 343 s and 15 N polarizations up to 6.4 %. A time series of HP [15 N3 ]MNZ images was acquired in vitro using a steady state free precession sequence on the 15 NO2 peak. The signal lasted over 13 min with notably long T2 of 20.5 s. HP [15 N3 ]MNZ was injected in the tail vein of a healthy rat, and dynamic spectroscopy was performed over the rat brain. The in vivo HP 15 N signals persisted over 70 s, demonstrating an unprecedented opportunity for in vivo studies.
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Affiliation(s)
- David O Guarin
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., MA 02129, Charlestown, USA
- Polarize ApS., Asmussens Alle 1, 1808, Frederiksberg, Denmak
| | - Sameer M Joshi
- Department of Chemistry, Integrative Biosciences (Ibio), Karmanos Cancer Institute (KCI), Wayne State University, MI 48202, Detroit, USA
| | - Anna Samoilenko
- Department of Chemistry, Integrative Biosciences (Ibio), Karmanos Cancer Institute (KCI), Wayne State University, MI 48202, Detroit, USA
| | - Mohammad S H Kabir
- Department of Chemistry, Integrative Biosciences (Ibio), Karmanos Cancer Institute (KCI), Wayne State University, MI 48202, Detroit, USA
| | - Erin E Hardy
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., MA 02129, Charlestown, USA
| | - Atsush M Takahashi
- Department of Brain and Cognitive Sciences, McGovern Institute for Brain Research, Massachusetts Institute of Technology, MA 02139, Cambridge, USA
| | - Jan H Ardenkjaer-Larsen
- Polarize ApS., Asmussens Alle 1, 1808, Frederiksberg, Denmak
- Department of Health Technology, Technical University of Denmark, 348, Ørsteds Pl., 2800, Kongens Lyngby, Denmark
| | - Eduard Y Chekmenev
- Department of Chemistry, Integrative Biosciences (Ibio), Karmanos Cancer Institute (KCI), Wayne State University, MI 48202, Detroit, USA
- Russian Academy of Sciences (RAS), 14 Leninskiy Prospekt, 119991, Moscow, Russia
| | - Yi-Fen Yen
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th St., MA 02129, Charlestown, USA
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Reynolds S, Kazan SM, Anton A, Alizadeh T, Gunn RN, Paley MN, Tozer GM, Cunningham VJ. Kinetic modelling of dissolution dynamic nuclear polarisation 13 C magnetic resonance spectroscopy data for analysis of pyruvate delivery and fate in tumours. NMR IN BIOMEDICINE 2022; 35:e4650. [PMID: 34841602 DOI: 10.1002/nbm.4650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 09/19/2021] [Accepted: 10/24/2021] [Indexed: 06/13/2023]
Abstract
Dissolution dynamic nuclear polarisation (dDNP) of 13 C-labelled pyruvate in magnetic resonance spectroscopy/imaging (MRS/MRSI) has the potential for monitoring tumour progression and treatment response. Pyruvate delivery, its metabolism to lactate and efflux were investigated in rat P22 sarcomas following simultaneous intravenous administration of hyperpolarised 13 C-labelled pyruvate (13 C1 -pyruvate) and urea (13 C-urea), a nonmetabolised marker. A general mathematical model of pyruvate-lactate exchange, incorporating an arterial input function (AIF), enabled the losses of pyruvate and lactate from tumour to be estimated, in addition to the clearance rate of pyruvate signal from blood into tumour, Kip , and the forward and reverse fractional rate constants for pyruvate-lactate signal exchange, kpl and klp . An analogous model was developed for urea, enabling estimation of urea tumour losses and the blood clearance parameter, Kiu . A spectral fitting procedure to blood time-course data proved superior to assuming a gamma-variate form for the AIFs. Mean arterial blood pressure marginally correlated with clearance rates. Kiu equalled Kip , indicating equivalent permeability of the tumour vasculature to urea and pyruvate. Fractional loss rate constants due to effluxes of pyruvate, lactate and urea from tumour tissue into blood (kpo , klo and kuo , respectively) indicated that T1 s and the average flip angle, θ, obtained from arterial blood were poor surrogates for these parameters in tumour tissue. A precursor-product model, using the tumour pyruvate signal time-course as the input for the corresponding lactate signal time-course, was modified to account for the observed delay between them. The corresponding fractional rate constant, kavail , most likely reflected heterogeneous tumour microcirculation. Loss parameters, estimated from this model with different TRs, provided a lower limit on the estimates of tumour T1 for lactate and urea. The results do not support use of hyperpolarised urea for providing information on the tumour microcirculation over and above what can be obtained from pyruvate alone. The results also highlight the need for rigorous processes controlling signal quantitation, if absolute estimations of biological parameters are required.
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Affiliation(s)
- Steven Reynolds
- Academic Unit of Radiology, Department of Infection, Immunity and Cardiovascular Disease, The Medical School, University of Sheffield, Sheffield, UK
| | - Samira M Kazan
- Department of Oncology and Metabolism, The Medical School, University of Sheffield, Sheffield, UK
| | - Adriana Anton
- Academic Unit of Radiology, Department of Infection, Immunity and Cardiovascular Disease, The Medical School, University of Sheffield, Sheffield, UK
| | - Tooba Alizadeh
- Department of Oncology and Metabolism, The Medical School, University of Sheffield, Sheffield, UK
| | - Roger N Gunn
- Department of Brain Sciences, Imperial College London, London, UK
| | - Martyn N Paley
- Academic Unit of Radiology, Department of Infection, Immunity and Cardiovascular Disease, The Medical School, University of Sheffield, Sheffield, UK
| | - Gillian M Tozer
- Department of Oncology and Metabolism, The Medical School, University of Sheffield, Sheffield, UK
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Lee SJ, Park I, Talbott JF, Gordon J. Investigating the Feasibility of In Vivo Perfusion Imaging Methods for Spinal Cord Using Hyperpolarized [ 13C]t-Butanol and [ 13C, 15N 2]Urea. Mol Imaging Biol 2021; 24:371-376. [PMID: 34779970 DOI: 10.1007/s11307-021-01682-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 09/30/2021] [Accepted: 11/02/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE This study examined the feasibility of using two novel agents, hyperpolarized [13C]t-butanol and [13C,15N2]urea, for assessing in vivo perfusion of the intact spinal cord in rodents. Due to their distinct permeabilities to blood brain barrier (BBB), we hypothesized that [13C]t-butanol and [13C,15N2]urea exhibit unique 13C signal characteristics in the spinal cord. PROCEDURES Dynamic 13C t-butanol MRI data were acquired from healthy Long-Evans rats using a symmetric, ramp-sampled, partial-Fourier 13C echo-planar imaging sequence after the injection of hyperpolarized [13C]t-butanol solution. In subsequent scans, dynamic 13C urea MRI data were acquired after the injection of hyperpolarized [13C,15N2]urea. The SNRs of t-butanol and urea were calculated for regions corresponding to spine, supratentorial brain, and blood vessels and plotted over time. Mean peak SNR and AUC were calculated from the dynamic plots for each region and compared between t-butanol and urea. RESULTS In spine and supratentorial brain, the mean peak SNR and AUC of t-butanol were significantly higher than those of urea (p < 0.05). In contrast, urea was predominantly contained within vasculature and exhibited significantly higher levels of mean peak SNR and AUC compared to t-butanol in blood vessels (p < 0.05). CONCLUSION This study has demonstrated the feasibility of using hyperpolarized [13C]t-butanol and [13C,15N2]urea for assessing in vivo perfusion in cervical spinal cord. Due to differences in blood-brain barrier permeability, t-butanol rapidly crossed the blood-brain barrier and diffused into spine and brain tissue, while urea predominantly remained in vasculature. The results from this study suggest that this technique may provide unique non-invasive imaging tracers that are able to directly monitor hemodynamic processes in the normal and injured spinal cord.
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Affiliation(s)
- Seung Jin Lee
- Department of Radiology, Chonnam National University Hospital, 42 Jaebongro, Donggu, Gwangju, 61469, South Korea
| | - Ilwoo Park
- Department of Radiology, Chonnam National University Hospital, 42 Jaebongro, Donggu, Gwangju, 61469, South Korea. .,Department of Radiology, Chonnam National University, 42 Jaebongro, Donggu, Gwangju, 61469, South Korea. .,Department of Artificial Intelligence Convergence, Chonnam National University, 77 Yongbongro, Bukgu, Gwangju, 61186, South Korea.
| | - Jason F Talbott
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, 94143, USA.,Brain and Spine Injury Center (BASIC), San Francisco General Hospital, University of California, San Francisco, CA, 94110, USA
| | - Jeremy Gordon
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, 94143, USA
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Ma J, Chen J, Reed GD, Hackett EP, Harrison CE, Ratnakar J, Schulte RF, Zaha VG, Malloy CR, Park JM. Cardiac T 2 ∗ measurement of hyperpolarized 13 C metabolites using metabolite-selective multi-echo spiral imaging. Magn Reson Med 2021; 86:1494-1504. [PMID: 33821504 DOI: 10.1002/mrm.28796] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 03/16/2021] [Accepted: 03/17/2021] [Indexed: 01/01/2023]
Abstract
PURPOSE Noninvasive imaging with hyperpolarized (HP) pyruvate can capture in vivo cardiac metabolism. For proper quantification of the metabolites and optimization of imaging parameters, understanding MR characteristics such as T 2 ∗ s of the HP signals is critical. This study is to measure in vivo cardiac T 2 ∗ s of HP [1-13 C]pyruvate and the products in rodents and humans. METHODS A dynamic 13 C multi-echo spiral imaging sequence that acquires [13 C]bicarbonate, [1-13 C]lactate, and [1-13 C]pyruvate images in an interleaved manner was implemented for a clinical 3 Tesla system. T 2 ∗ of each metabolite was calculated from the multi-echo images by fitting the signal decay of each region of interest mono-exponentially. The performance of measuring T 2 ∗ using the sequence was first validated using a 13 C phantom and then with rodents following a bolus injection of HP [1-13 C]pyruvate. In humans, T 2 ∗ of each metabolite was calculated for left ventricle, right ventricle, and myocardium. RESULTS Cardiac T 2 ∗ s of HP [1-13 C]pyruvate, [1-13 C]lactate, and [13 C]bicarbonate in rodents were measured as 24.9 ± 5.0, 16.4 ± 4.7, and 16.9 ± 3.4 ms, respectively. In humans, T 2 ∗ of [1-13 C]pyruvate was 108.7 ± 22.6 ms in left ventricle and 129.4 ± 8.9 ms in right ventricle. T 2 ∗ of [1-13 C]lactate was 40.9 ± 8.3, 44.2 ± 5.5, and 43.7 ± 9.0 ms in left ventricle, right ventricle, and myocardium, respectively. T 2 ∗ of [13 C]bicarbonate in myocardium was 64.4 ± 2.5 ms. The measurements were reproducible and consistent over time after the pyruvate injection. CONCLUSION The proposed metabolite-selective multi-echo spiral imaging sequence reliably measures in vivo cardiac T 2 ∗ s of HP [1-13 C]pyruvate and products.
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Affiliation(s)
- Junjie Ma
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Jun Chen
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | | | - Edward P Hackett
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Crystal E Harrison
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - James Ratnakar
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | | | - Vlad G Zaha
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Craig R Malloy
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Radiology, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Jae Mo Park
- Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Radiology, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Electrical and Computer Engineering, The University of Texas at Dallas, Richardson, Texas, USA
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