Literature DB >> 34287945

The effect of transmit B1 inhomogeneity on hyperpolarized [1-13 C]-pyruvate metabolic MR imaging biomarkers.

Collin J Harlan1, Zhan Xu1, Christopher M Walker1, Keith A Michel1, Galen D Reed2, James A Bankson1,3.   

Abstract

PURPOSE: A specialized Helmholtz-style 13 C volume transmit "clamshell" coil is currently being utilized for 13 C excitation in pre-clinical and clinical hyperpolarized 13 C MRI studies aimed at probing the metabolic activity of tumors in various target anatomy. Due to the widespread use of this 13 C clamshell coil design, it is important that the effects of the 13 C clamshell coil B1 + profile on HP signal evolution and quantification are well understood. The goal of this study was to characterize the B1 + field of the 13 C clamshell coil and assess the impact of inhomogeneities on semi-quantitative and quantitative hyperpolarized MR imaging biomarkers of metabolism.
METHODS: The B1 + field of the 13 C clamshell coil was mapped by hand using a network analyzer equipped with an S-parameter test set. Pharmacokinetic models were used to simulate signal evolution as a function of position-dependent local excitation angles, for various nominal excitation angles, which were assumed to be accurately calibrated at the isocenter. These signals were then quantified according to the normalized lactate ratio (nLac) and the apparent rate constant for the conversion of pyruvate to lactate (kPL ). The percent difference between these metabolic imaging biomarker maps and the reference value observed at the isocenter of the clamshell coil was calculated to estimate the potential for error due to position within the clamshell coil. Finally, regions were identified within the clamshell coil where deviations in B1 + field inhomogeneity or imaging biomarker errors imparted by the B1 + field were within ±10% of the value at the isocenter.
RESULTS: The B1 + field maps show that a limited volume encompassed by a region measuring approximately 12.9 × 11.5 × 13.4 cm (X-direction, Y-direction, Z-direction) centered in the 13 C clamshell coil will produce deviations in the B1 + field within ±10% of that at the isocenter. For the metabolic imaging biomarkers that we evaluated, the case when the pyruvate excitation angle (θP ) and lactate excitation angle (θL ) were equal to 10° produced the largest volumetric region with deviations within ±10% of the value at the isocenter. Higher excitation angles yielded higher signal and SNR, but the size of the region in which uniform measurements could be collected near the isocenter of the coil was reduced at higher excitation angles. The tradeoff between the size of the homogenous region at the isocenter and signal intensity must be weighed carefully depending on the particular imaging application.
CONCLUSION: This work identifies regions and optimal excitation angles (θP and θL ) within the 13 C clamshell coil where deviations in B1 + field inhomogeneity or imaging biomarker errors imparted by the B1 + field were within ±10% of the respective value at the isocenter, and thus where excitation angles are reproducible and well-calibrated. Semi-quantitative and quantitative metabolic imaging biomarkers can vary with position in the clamshell coil as a result of B1 + field inhomogeneity, necessitating care in patient positioning and the selection of an excitation angle set that balances reproducibility and SNR performance over the target imaging volume.
© 2021 American Association of Physicists in Medicine.

Entities:  

Keywords:  MRI; cancer; hyperpolarized pyruvate; metabolism; molecular biomarkers; molecular imaging; transmit inhomogeneity

Mesh:

Substances:

Year:  2021        PMID: 34287945      PMCID: PMC8486175          DOI: 10.1002/mp.15107

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.506


  26 in total

1.  Development of methods and feasibility of using hyperpolarized carbon-13 imaging data for evaluating brain metabolism in patient studies.

Authors:  Ilwoo Park; Peder E Z Larson; Jeremy W Gordon; Lucas Carvajal; Hsin-Yu Chen; Robert Bok; Mark Van Criekinge; Marcus Ferrone; James B Slater; Duan Xu; John Kurhanewicz; Daniel B Vigneron; Susan Chang; Sarah J Nelson
Journal:  Magn Reson Med       Date:  2018-01-10       Impact factor: 4.668

2.  Kinetic Modeling and Constrained Reconstruction of Hyperpolarized [1-13C]-Pyruvate Offers Improved Metabolic Imaging of Tumors.

Authors:  James A Bankson; Christopher M Walker; Marc S Ramirez; Wolfgang Stefan; David Fuentes; Matthew E Merritt; Jaehyuk Lee; Vlad C Sandulache; Yunyun Chen; Liem Phan; Ping-Chieh Chou; Arvind Rao; Sai-Ching J Yeung; Mong-Hong Lee; Dawid Schellingerhout; Charles A Conrad; Craig Malloy; A Dean Sherry; Stephen Y Lai; John D Hazle
Journal:  Cancer Res       Date:  2015-09-29       Impact factor: 12.701

3.  Influence of parameter accuracy on pharmacokinetic analysis of hyperpolarized pyruvate.

Authors:  Chang-Yu Sun; Christopher M Walker; Keith A Michel; Aradhana M Venkatesan; Stephen Y Lai; James A Bankson
Journal:  Magn Reson Med       Date:  2017-11-01       Impact factor: 4.668

4.  Metabolic Imaging of the Human Brain with Hyperpolarized 13C Pyruvate Demonstrates 13C Lactate Production in Brain Tumor Patients.

Authors:  Vesselin Z Miloushev; Kristin L Granlund; Rostislav Boltyanskiy; Serge K Lyashchenko; Lisa M DeAngelis; Ingo K Mellinghoff; Cameron W Brennan; Vivian Tabar; T Jonathan Yang; Andrei I Holodny; Ramon E Sosa; YanWei W Guo; Albert P Chen; James Tropp; Fraser Robb; Kayvan R Keshari
Journal:  Cancer Res       Date:  2018-05-16       Impact factor: 12.701

5.  Translation of Carbon-13 EPI for hyperpolarized MR molecular imaging of prostate and brain cancer patients.

Authors:  Jeremy W Gordon; Hsin-Yu Chen; Adam Autry; Ilwoo Park; Mark Van Criekinge; Daniele Mammoli; Eugene Milshteyn; Robert Bok; Duan Xu; Yan Li; Rahul Aggarwal; Susan Chang; James B Slater; Marcus Ferrone; Sarah Nelson; John Kurhanewicz; Peder E Z Larson; Daniel B Vigneron
Journal:  Magn Reson Med       Date:  2018-10-30       Impact factor: 4.668

6.  Hyperpolarized 1-[13C]-Pyruvate Magnetic Resonance Imaging Detects an Early Metabolic Response to Androgen Ablation Therapy in Prostate Cancer.

Authors:  Rahul Aggarwal; Daniel B Vigneron; John Kurhanewicz
Journal:  Eur Urol       Date:  2017-07-29       Impact factor: 20.096

7.  Metabolic imaging of patients with prostate cancer using hyperpolarized [1-¹³C]pyruvate.

Authors:  Sarah J Nelson; John Kurhanewicz; Daniel B Vigneron; Peder E Z Larson; Andrea L Harzstark; Marcus Ferrone; Mark van Criekinge; Jose W Chang; Robert Bok; Ilwoo Park; Galen Reed; Lucas Carvajal; Eric J Small; Pamela Munster; Vivian K Weinberg; Jan Henrik Ardenkjaer-Larsen; Albert P Chen; Ralph E Hurd; Liv-Ingrid Odegardstuen; Fraser J Robb; James Tropp; Jonathan A Murray
Journal:  Sci Transl Med       Date:  2013-08-14       Impact factor: 17.956

8.  Kinetic modeling of hyperpolarized (13)C pyruvate metabolism in tumors using a measured arterial input function.

Authors:  S M Kazan; S Reynolds; A Kennerley; E Wholey; J E Bluff; J Berwick; V J Cunningham; M N Paley; G M Tozer
Journal:  Magn Reson Med       Date:  2012-11-20       Impact factor: 4.668

9.  Hyperpolarized 13C Metabolic MRI of the Human Heart: Initial Experience.

Authors:  Charles H Cunningham; Justin Y C Lau; Albert P Chen; Benjamin J Geraghty; William J Perks; Idan Roifman; Graham A Wright; Kim A Connelly
Journal:  Circ Res       Date:  2016-09-15       Impact factor: 17.367

10.  Hyperpolarized 13C MRI of Tumor Metabolism Demonstrates Early Metabolic Response to Neoadjuvant Chemotherapy in Breast Cancer.

Authors:  Ramona Woitek; Mary A McLean; Andrew B Gill; James T Grist; Elena Provenzano; Andrew J Patterson; Stephan Ursprung; Turid Torheim; Fulvio Zaccagna; Matthew Locke; Marie-Christine Laurent; Sarah Hilborne; Amy Frary; Lucian Beer; Leonardo Rundo; Ilse Patterson; Rhys Slough; Justine Kane; Heather Biggs; Emma Harrison; Titus Lanz; Bristi Basu; Richard Baird; Evis Sala; Martin J Graves; Fiona J Gilbert; Jean E Abraham; Carlos Caldas; Kevin M Brindle; Ferdia A Gallagher
Journal:  Radiol Imaging Cancer       Date:  2020-07-31
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