Differentiation of Glioblastomas from Metastatic Brain Tumors by Tryptophan Uptake and Kinetic Analysis: A Positron Emission Tomographic Study with Magnetic Resonance Imaging Comparison

Differentiating high-grade gliomas from solitary brain metastases is often difficult by conventional magnetic resonance imaging (MRI); molecular imaging may facilitate such discrimination. We tested the accuracy of α[ 11 C]methyl-L-tryptophan (AMT)–positron emission tomography (PET) to differentiate...

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Main Authors: David O. Kamson, Sandeep Mittal, Amy Buth, Otto Muzik, William J. Kupsky, Natasha L. Robinette, Geoffrey R. Barger, Csaba Juhász
Format: Article
Language:English
Published: SAGE Publishing 2013-07-01
Series:Molecular Imaging
Online Access:https://doi.org/10.2310/7290.2013.00048
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author David O. Kamson
Sandeep Mittal
Amy Buth
Otto Muzik
William J. Kupsky
Natasha L. Robinette
Geoffrey R. Barger
Csaba Juhász
author_facet David O. Kamson
Sandeep Mittal
Amy Buth
Otto Muzik
William J. Kupsky
Natasha L. Robinette
Geoffrey R. Barger
Csaba Juhász
author_sort David O. Kamson
collection DOAJ
description Differentiating high-grade gliomas from solitary brain metastases is often difficult by conventional magnetic resonance imaging (MRI); molecular imaging may facilitate such discrimination. We tested the accuracy of α[ 11 C]methyl-L-tryptophan (AMT)–positron emission tomography (PET) to differentiate newly diagnosed glioblastomas from brain metastases. AMT-PET was performed in 36 adults with suspected brain malignancy. Tumoral AMT accumulation was measured by standardized uptake values (SUVs). Tracer kinetic analysis was also performed to separate tumoral net tryptophan transport (by AMT volume of distribution [VD]) from unidirectional uptake rates using dynamic PET and blood input function. Differentiating the accuracy of these PET variables was evaluated and compared to conventional MRI. For glioblastoma/metastasis differentiation, tumoral AMT SUV showed the highest accuracy (74%) and the tumor/cortex VD ratio had the highest positive predictive value (82%). The combined accuracy of MRI (size of contrast-enhancing lesion) and AMT-PET reached up to 93%. For ring-enhancing lesions, tumor/cortex SUV ratios were higher in glioblastomas than in metastatic tumors and could differentiate these two tumor types with > 90% accuracy. These results demonstrate that evaluation of tryptophan accumulation by PET can enhance pretreatment differentiation of glioblastomas and metastatic brain tumors. This approach may be particularly useful in patients with a newly diagnosed solitary ring-enhancing mass.
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spelling doaj-art-2868ab2e18d3485495b2472b7c268b2c2025-01-02T02:58:00ZengSAGE PublishingMolecular Imaging1536-01212013-07-011210.2310/7290.2013.0004810.2310_7290.2013.00048Differentiation of Glioblastomas from Metastatic Brain Tumors by Tryptophan Uptake and Kinetic Analysis: A Positron Emission Tomographic Study with Magnetic Resonance Imaging ComparisonDavid O. KamsonSandeep MittalAmy ButhOtto MuzikWilliam J. KupskyNatasha L. RobinetteGeoffrey R. BargerCsaba JuhászDifferentiating high-grade gliomas from solitary brain metastases is often difficult by conventional magnetic resonance imaging (MRI); molecular imaging may facilitate such discrimination. We tested the accuracy of α[ 11 C]methyl-L-tryptophan (AMT)–positron emission tomography (PET) to differentiate newly diagnosed glioblastomas from brain metastases. AMT-PET was performed in 36 adults with suspected brain malignancy. Tumoral AMT accumulation was measured by standardized uptake values (SUVs). Tracer kinetic analysis was also performed to separate tumoral net tryptophan transport (by AMT volume of distribution [VD]) from unidirectional uptake rates using dynamic PET and blood input function. Differentiating the accuracy of these PET variables was evaluated and compared to conventional MRI. For glioblastoma/metastasis differentiation, tumoral AMT SUV showed the highest accuracy (74%) and the tumor/cortex VD ratio had the highest positive predictive value (82%). The combined accuracy of MRI (size of contrast-enhancing lesion) and AMT-PET reached up to 93%. For ring-enhancing lesions, tumor/cortex SUV ratios were higher in glioblastomas than in metastatic tumors and could differentiate these two tumor types with > 90% accuracy. These results demonstrate that evaluation of tryptophan accumulation by PET can enhance pretreatment differentiation of glioblastomas and metastatic brain tumors. This approach may be particularly useful in patients with a newly diagnosed solitary ring-enhancing mass.https://doi.org/10.2310/7290.2013.00048
spellingShingle David O. Kamson
Sandeep Mittal
Amy Buth
Otto Muzik
William J. Kupsky
Natasha L. Robinette
Geoffrey R. Barger
Csaba Juhász
Differentiation of Glioblastomas from Metastatic Brain Tumors by Tryptophan Uptake and Kinetic Analysis: A Positron Emission Tomographic Study with Magnetic Resonance Imaging Comparison
Molecular Imaging
title Differentiation of Glioblastomas from Metastatic Brain Tumors by Tryptophan Uptake and Kinetic Analysis: A Positron Emission Tomographic Study with Magnetic Resonance Imaging Comparison
title_full Differentiation of Glioblastomas from Metastatic Brain Tumors by Tryptophan Uptake and Kinetic Analysis: A Positron Emission Tomographic Study with Magnetic Resonance Imaging Comparison
title_fullStr Differentiation of Glioblastomas from Metastatic Brain Tumors by Tryptophan Uptake and Kinetic Analysis: A Positron Emission Tomographic Study with Magnetic Resonance Imaging Comparison
title_full_unstemmed Differentiation of Glioblastomas from Metastatic Brain Tumors by Tryptophan Uptake and Kinetic Analysis: A Positron Emission Tomographic Study with Magnetic Resonance Imaging Comparison
title_short Differentiation of Glioblastomas from Metastatic Brain Tumors by Tryptophan Uptake and Kinetic Analysis: A Positron Emission Tomographic Study with Magnetic Resonance Imaging Comparison
title_sort differentiation of glioblastomas from metastatic brain tumors by tryptophan uptake and kinetic analysis a positron emission tomographic study with magnetic resonance imaging comparison
url https://doi.org/10.2310/7290.2013.00048
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