Literature DB >> 20652745

Implementation of 3 T lactate-edited 3D 1H MR spectroscopic imaging with flyback echo-planar readout for gliomas patients.

Ilwoo Park1, Albert P Chen, Matthew L Zierhut, Esin Ozturk-Isik, Daniel B Vigneron, Sarah J Nelson.   

Abstract

The purpose of this study was to implement a new lactate-edited 3D 1H magnetic resonance spectroscopic imaging (MRSI) sequence at 3 T and demonstrate the feasibility of using this sequence for measuring lactate in patients with gliomas. A 3D PRESS MRSI sequence incorporating shortened, high bandwidth 180° pulses, new dual BASING lactate-editing pulses, high bandwidth very selective suppression (VSS) pulses and a flyback echo-planar readout was implemented at 3 T. Over-prescription factor of PRESS voxels was optimized using phantom to minimize chemical shift artifacts. The lactate-edited flyback sequence was compared with lactate-edited MRSI using conventional elliptical k-space sampling in a phantom and volunteers, and then applied to patients with gliomas. The results demonstrated the feasibility of detecting lactate within a short scan time of 9.5 min in both phantoms and patients. Over-prescription of voxels gave less chemical shift artifacts allowing detection of lactate on the majority of the selected volume. The normalized SNR of brain metabolites using the flyback encoding were comparable to the SNR of brain metabolites using conventional phase encoding MRSI. The specialized lactate-edited 3D MRSI sequence was able to detect lactate in brain tumor patients at 3 T. The implementation of this technique means that brain lactate can be evaluated in a routine clinical setting to study its potential as a marker for prognosis and response to therapy.

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Year:  2010        PMID: 20652745      PMCID: PMC3010202          DOI: 10.1007/s10439-010-0128-x

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  32 in total

1.  Very selective suppression pulses for clinical MRSI studies of brain and prostate cancer.

Authors:  T K Tran; D B Vigneron; N Sailasuta; J Tropp; P Le Roux; J Kurhanewicz; S Nelson; R Hurd
Journal:  Magn Reson Med       Date:  2000-01       Impact factor: 4.668

2.  Analysis of volume MRI and MR spectroscopic imaging data for the evaluation of patients with brain tumors.

Authors:  S J Nelson
Journal:  Magn Reson Med       Date:  2001-08       Impact factor: 4.668

3.  On the origin of cancer cells.

Authors:  O WARBURG
Journal:  Science       Date:  1956-02-24       Impact factor: 47.728

4.  In vivo lactate editing with simultaneous detection of choline, creatine, NAA, and lipid singlets at 1.5 T using PRESS excitation with applications to the study of brain and head and neck tumors.

Authors:  J Star-Lack; D Spielman; E Adalsteinsson; J Kurhanewicz; D J Terris; D B Vigneron
Journal:  J Magn Reson       Date:  1998-08       Impact factor: 2.229

5.  Optimized detection of lactate at high fields using inner volume saturation.

Authors:  Richard A E Edden; Michael Schär; Argye E Hillis; Peter B Barker
Journal:  Magn Reson Med       Date:  2006-10       Impact factor: 4.668

6.  Signal-to-noise ratio and spectral linewidth improvements between 1.5 and 7 Tesla in proton echo-planar spectroscopic imaging.

Authors:  Ricardo Otazo; Bryon Mueller; Kamil Ugurbil; Lawrence Wald; Stefan Posse
Journal:  Magn Reson Med       Date:  2006-12       Impact factor: 4.668

7.  3D sensitivity encoded ellipsoidal MR spectroscopic imaging of gliomas at 3T.

Authors:  Esin Ozturk-Isik; Albert P Chen; Jason C Crane; Wei Bian; Duan Xu; Eric T Han; Susan M Chang; Daniel B Vigneron; Sarah J Nelson
Journal:  Magn Reson Imaging       Date:  2009-09-19       Impact factor: 2.546

8.  (1)H spectroscopic imaging of human brain at 3 Tesla: comparison of fast three-dimensional magnetic resonance spectroscopic imaging techniques.

Authors:  Matthew L Zierhut; Esin Ozturk-Isik; Albert P Chen; Ilwoo Park; Daniel B Vigneron; Sarah J Nelson
Journal:  J Magn Reson Imaging       Date:  2009-09       Impact factor: 4.813

9.  Elimination of spatial interference in PRESS-localized editing spectroscopy.

Authors:  Lana G Kaiser; Karl Young; Gerald B Matson
Journal:  Magn Reson Med       Date:  2007-10       Impact factor: 4.668

10.  Relationship of pre-surgery metabolic and physiological MR imaging parameters to survival for patients with untreated GBM.

Authors:  Forrest W Crawford; Inas S Khayal; Colleen McGue; Suja Saraswathy; Andrea Pirzkall; Soonmee Cha; Kathleen R Lamborn; Susan M Chang; Mitchel S Berger; Sarah J Nelson
Journal:  J Neurooncol       Date:  2008-11-15       Impact factor: 4.130

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  24 in total

1.  Acute Tumor Lactate Perturbations as a Biomarker of Genotoxic Stress: Development of a Biochemical Model.

Authors:  Vlad C Sandulache; Yunyun Chen; Heath D Skinner; Tongtong Lu; Lei Feng; Laurence E Court; Jeffrey N Myers; Raymond E Meyn; Clifton D Fuller; James A Bankson; Stephen Y Lai
Journal:  Mol Cancer Ther       Date:  2015-09-16       Impact factor: 6.261

2.  Assessment of perfusion MRI-derived parameters in evaluating and predicting response to antiangiogenic therapy in patients with newly diagnosed glioblastoma.

Authors:  Emma Essock-Burns; Janine M Lupo; Soonmee Cha; Mei-Yin Polley; Nicholas A Butowski; Susan M Chang; Sarah J Nelson
Journal:  Neuro Oncol       Date:  2010-10-29       Impact factor: 12.300

Review 3.  Imaging tumor metabolism using in vivo magnetic resonance spectroscopy.

Authors:  Yan Li; Ilwoo Park; Sarah J Nelson
Journal:  Cancer J       Date:  2015 Mar-Apr       Impact factor: 3.360

4.  Association of early changes in 1H MRSI parameters with survival for patients with newly diagnosed glioblastoma receiving a multimodality treatment regimen.

Authors:  Sarah J Nelson; Achuta K Kadambi; Ilwoo Park; Yan Li; Jason Crane; Marram Olson; Annette Molinaro; Ritu Roy; Nicholas Butowski; Soonmee Cha; Susan Chang
Journal:  Neuro Oncol       Date:  2017-03-01       Impact factor: 12.300

5.  Comparison between Short and Long Echo Time Magnetic Resonance Spectroscopic Imaging at 3T and 7T for Evaluating Brain Metabolites in Patients with Glioma.

Authors:  Yan Li; Marisa Lafontaine; Susan Chang; Sarah J Nelson
Journal:  ACS Chem Neurosci       Date:  2017-10-16       Impact factor: 4.418

6.  Proton T2 measurement and quantification of lactate in brain tumors by MRS at 3 Tesla in vivo.

Authors:  Akshay Madan; Sandeep K Ganji; Zhongxu An; Kevin S Choe; Marco C Pinho; Robert M Bachoo; Elizabeth M Maher; Changho Choi
Journal:  Magn Reson Med       Date:  2014-07-07       Impact factor: 4.668

7.  Reduced phosphocholine and hyperpolarized lactate provide magnetic resonance biomarkers of PI3K/Akt/mTOR inhibition in glioblastoma.

Authors:  Humsa S Venkatesh; Myriam M Chaumeil; Christopher S Ward; Daphne A Haas-Kogan; C David James; Sabrina M Ronen
Journal:  Neuro Oncol       Date:  2011-12-12       Impact factor: 12.300

Review 8.  Assessment of therapeutic response and treatment planning for brain tumors using metabolic and physiological MRI.

Authors:  Sarah J Nelson
Journal:  NMR Biomed       Date:  2011-04-27       Impact factor: 4.044

Review 9.  Strategies for rapid in vivo 1H and hyperpolarized 13C MR spectroscopic imaging.

Authors:  Sarah J Nelson; Eugene Ozhinsky; Yan Li; Il woo Park; Jason Crane
Journal:  J Magn Reson       Date:  2013-02-08       Impact factor: 2.229

10.  Survival analysis in patients with newly diagnosed glioblastoma using pre- and postradiotherapy MR spectroscopic imaging.

Authors:  Yan Li; Janine M Lupo; Rupa Parvataneni; Kathleen R Lamborn; Soonmee Cha; Susan M Chang; Sarah J Nelson
Journal:  Neuro Oncol       Date:  2013-02-07       Impact factor: 12.300

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