Kinetic modeling and constrained reconstruction of hyperpolarized [1-13C]-pyruvate offers improved metabolic imaging of tumors

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

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

Hyperpolarized [1-13C]-pyruvate has shown tremendous promise as an agent for imaging tumor metabolism with unprecedented sensitivity and specificity. Imaging hyperpolarized substrates by magnetic resonance is unlike traditional MRI because signals are highly transient and their spatial distribution varies continuously over their observable lifetime. Therefore, new imaging approaches are needed to ensure optimal measurement under these circumstances. Constrained reconstruction algorithms can integrate prior information, including biophysical models of the substrate/target interaction, to reduce the amount of data that is required for image analysis and reconstruction. In this study, we show that metabolic MRI with hyperpolarized pyruvate is biased by tumor perfusion and present a new pharmacokinetic model for hyperpolarized substrates that accounts for these effects. The suitability of this model is confirmed by statistical comparison with alternates using data from 55 dynamic spectroscopic measurements in normal animals and murine models of anaplastic thyroid cancer, glioblastoma, and triple-negative breast cancer. The kinetic model was then integrated into a constrained reconstruction algorithm and feasibility was tested using significantly undersampled imaging data from tumor-bearing animals. Compared with naïve image reconstruction, this approach requires far fewer signal-depleting excitations and focuses analysis and reconstruction on new information that is uniquely available from hyperpolarized pyruvate and its metabolites, thus improving the reproducibility and accuracy of metabolic imaging measurements.

Original languageEnglish (US)
Pages (from-to)4708-4717
Number of pages10
JournalCancer Research
Volume75
Issue number22
DOIs
StatePublished - Nov 15 2015

Fingerprint

Pyruvic Acid
Computer-Assisted Image Processing
Triple Negative Breast Neoplasms
Neoplasms
Glioblastoma
Magnetic Resonance Spectroscopy
Animal Models
Pharmacokinetics
Perfusion
Sensitivity and Specificity

ASJC Scopus subject areas

  • Cancer Research
  • Oncology

Cite this

Bankson, J. A., Walker, C. M., Ramirez, M. S., Stefan, W., Fuentes, D., Merritt, M. E., ... Hazle, J. D. (2015). Kinetic modeling and constrained reconstruction of hyperpolarized [1-13C]-pyruvate offers improved metabolic imaging of tumors. Cancer Research, 75(22), 4708-4717. https://doi.org/10.1158/0008-5472.CAN-15-0171

Kinetic modeling and constrained reconstruction of hyperpolarized [1-13C]-pyruvate offers improved metabolic imaging of tumors. / Bankson, James A.; Walker, Christopher M.; Ramirez, Marc S.; Stefan, Wolfgang; Fuentes, David; Merritt, Matthew E.; Lee, Jaehyuk; Sandulache, Vlad C.; Chen, Yunyun; Phan, Liem; Chou, Ping Chieh; Rao, Arvind; Yeung, Sai Ching J; Lee, Mong Hong; Schellingerhout, Dawid; Conrad, Charles A.; Malloy, Craig; Sherry, A. Dean; Lai, Stephen Y.; Hazle, John D.

In: Cancer Research, Vol. 75, No. 22, 15.11.2015, p. 4708-4717.

Research output: Contribution to journalArticle

Bankson, JA, Walker, CM, Ramirez, MS, Stefan, W, Fuentes, D, Merritt, ME, Lee, J, Sandulache, VC, Chen, Y, Phan, L, Chou, PC, Rao, A, Yeung, SCJ, Lee, MH, Schellingerhout, D, Conrad, CA, Malloy, C, Sherry, AD, Lai, SY & Hazle, JD 2015, 'Kinetic modeling and constrained reconstruction of hyperpolarized [1-13C]-pyruvate offers improved metabolic imaging of tumors', Cancer Research, vol. 75, no. 22, pp. 4708-4717. https://doi.org/10.1158/0008-5472.CAN-15-0171
Bankson, James A. ; Walker, Christopher M. ; Ramirez, Marc S. ; Stefan, Wolfgang ; Fuentes, David ; Merritt, Matthew E. ; Lee, Jaehyuk ; Sandulache, Vlad C. ; Chen, Yunyun ; Phan, Liem ; Chou, Ping Chieh ; Rao, Arvind ; Yeung, Sai Ching J ; Lee, Mong Hong ; Schellingerhout, Dawid ; Conrad, Charles A. ; Malloy, Craig ; Sherry, A. Dean ; Lai, Stephen Y. ; Hazle, John D. / Kinetic modeling and constrained reconstruction of hyperpolarized [1-13C]-pyruvate offers improved metabolic imaging of tumors. In: Cancer Research. 2015 ; Vol. 75, No. 22. pp. 4708-4717.
@article{a1a916dcc69b465d915a0097d82ee158,
title = "Kinetic modeling and constrained reconstruction of hyperpolarized [1-13C]-pyruvate offers improved metabolic imaging of tumors",
abstract = "Hyperpolarized [1-13C]-pyruvate has shown tremendous promise as an agent for imaging tumor metabolism with unprecedented sensitivity and specificity. Imaging hyperpolarized substrates by magnetic resonance is unlike traditional MRI because signals are highly transient and their spatial distribution varies continuously over their observable lifetime. Therefore, new imaging approaches are needed to ensure optimal measurement under these circumstances. Constrained reconstruction algorithms can integrate prior information, including biophysical models of the substrate/target interaction, to reduce the amount of data that is required for image analysis and reconstruction. In this study, we show that metabolic MRI with hyperpolarized pyruvate is biased by tumor perfusion and present a new pharmacokinetic model for hyperpolarized substrates that accounts for these effects. The suitability of this model is confirmed by statistical comparison with alternates using data from 55 dynamic spectroscopic measurements in normal animals and murine models of anaplastic thyroid cancer, glioblastoma, and triple-negative breast cancer. The kinetic model was then integrated into a constrained reconstruction algorithm and feasibility was tested using significantly undersampled imaging data from tumor-bearing animals. Compared with na{\"i}ve image reconstruction, this approach requires far fewer signal-depleting excitations and focuses analysis and reconstruction on new information that is uniquely available from hyperpolarized pyruvate and its metabolites, thus improving the reproducibility and accuracy of metabolic imaging measurements.",
author = "Bankson, {James A.} and Walker, {Christopher M.} and Ramirez, {Marc S.} and Wolfgang Stefan and David Fuentes and Merritt, {Matthew E.} and Jaehyuk Lee and Sandulache, {Vlad C.} and Yunyun Chen and Liem Phan and Chou, {Ping Chieh} and Arvind Rao and Yeung, {Sai Ching J} and Lee, {Mong Hong} and Dawid Schellingerhout and Conrad, {Charles A.} and Craig Malloy and Sherry, {A. Dean} and Lai, {Stephen Y.} and Hazle, {John D.}",
year = "2015",
month = "11",
day = "15",
doi = "10.1158/0008-5472.CAN-15-0171",
language = "English (US)",
volume = "75",
pages = "4708--4717",
journal = "Journal of Cancer Research",
issn = "0099-7013",
publisher = "American Association for Cancer Research Inc.",
number = "22",

}

TY - JOUR

T1 - Kinetic modeling and constrained reconstruction of hyperpolarized [1-13C]-pyruvate offers improved metabolic imaging of tumors

AU - Bankson, James A.

AU - Walker, Christopher M.

AU - Ramirez, Marc S.

AU - Stefan, Wolfgang

AU - Fuentes, David

AU - Merritt, Matthew E.

AU - Lee, Jaehyuk

AU - Sandulache, Vlad C.

AU - Chen, Yunyun

AU - Phan, Liem

AU - Chou, Ping Chieh

AU - Rao, Arvind

AU - Yeung, Sai Ching J

AU - Lee, Mong Hong

AU - Schellingerhout, Dawid

AU - Conrad, Charles A.

AU - Malloy, Craig

AU - Sherry, A. Dean

AU - Lai, Stephen Y.

AU - Hazle, John D.

PY - 2015/11/15

Y1 - 2015/11/15

N2 - Hyperpolarized [1-13C]-pyruvate has shown tremendous promise as an agent for imaging tumor metabolism with unprecedented sensitivity and specificity. Imaging hyperpolarized substrates by magnetic resonance is unlike traditional MRI because signals are highly transient and their spatial distribution varies continuously over their observable lifetime. Therefore, new imaging approaches are needed to ensure optimal measurement under these circumstances. Constrained reconstruction algorithms can integrate prior information, including biophysical models of the substrate/target interaction, to reduce the amount of data that is required for image analysis and reconstruction. In this study, we show that metabolic MRI with hyperpolarized pyruvate is biased by tumor perfusion and present a new pharmacokinetic model for hyperpolarized substrates that accounts for these effects. The suitability of this model is confirmed by statistical comparison with alternates using data from 55 dynamic spectroscopic measurements in normal animals and murine models of anaplastic thyroid cancer, glioblastoma, and triple-negative breast cancer. The kinetic model was then integrated into a constrained reconstruction algorithm and feasibility was tested using significantly undersampled imaging data from tumor-bearing animals. Compared with naïve image reconstruction, this approach requires far fewer signal-depleting excitations and focuses analysis and reconstruction on new information that is uniquely available from hyperpolarized pyruvate and its metabolites, thus improving the reproducibility and accuracy of metabolic imaging measurements.

AB - Hyperpolarized [1-13C]-pyruvate has shown tremendous promise as an agent for imaging tumor metabolism with unprecedented sensitivity and specificity. Imaging hyperpolarized substrates by magnetic resonance is unlike traditional MRI because signals are highly transient and their spatial distribution varies continuously over their observable lifetime. Therefore, new imaging approaches are needed to ensure optimal measurement under these circumstances. Constrained reconstruction algorithms can integrate prior information, including biophysical models of the substrate/target interaction, to reduce the amount of data that is required for image analysis and reconstruction. In this study, we show that metabolic MRI with hyperpolarized pyruvate is biased by tumor perfusion and present a new pharmacokinetic model for hyperpolarized substrates that accounts for these effects. The suitability of this model is confirmed by statistical comparison with alternates using data from 55 dynamic spectroscopic measurements in normal animals and murine models of anaplastic thyroid cancer, glioblastoma, and triple-negative breast cancer. The kinetic model was then integrated into a constrained reconstruction algorithm and feasibility was tested using significantly undersampled imaging data from tumor-bearing animals. Compared with naïve image reconstruction, this approach requires far fewer signal-depleting excitations and focuses analysis and reconstruction on new information that is uniquely available from hyperpolarized pyruvate and its metabolites, thus improving the reproducibility and accuracy of metabolic imaging measurements.

UR - http://www.scopus.com/inward/record.url?scp=84954524517&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84954524517&partnerID=8YFLogxK

U2 - 10.1158/0008-5472.CAN-15-0171

DO - 10.1158/0008-5472.CAN-15-0171

M3 - Article

VL - 75

SP - 4708

EP - 4717

JO - Journal of Cancer Research

JF - Journal of Cancer Research

SN - 0099-7013

IS - 22

ER -