Characterizing hypoxia in human glioma: A simultaneous multimodal MRI and PET study
Hypoxia plays an important role for the prognosis and therapy response of cancer. Thus, hypoxia imaging would be a valuable tool for pre‐therapeutic assessment of tumor malignancy. However, there is no standard validated technique for clinical application available yet. Therefore, we performed a stu...
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creator | Preibisch, Christine Shi, Kuangyu Kluge, Anne Lukas, Mathias Wiestler, Benedikt Göttler, Jens Gempt, Jens Ringel, Florian Al Jaberi, Mohamed Schlegel, Jürgen Meyer, Bernhard Zimmer, Claus Pyka, Thomas Förster, Stefan |
description | Hypoxia plays an important role for the prognosis and therapy response of cancer. Thus, hypoxia imaging would be a valuable tool for pre‐therapeutic assessment of tumor malignancy. However, there is no standard validated technique for clinical application available yet. Therefore, we performed a study in 12 patients with high‐grade glioma, where we directly compared the two currently most promising techniques, namely the MR‐based relative oxygen extraction fraction (MR‐rOEF) and the PET hypoxia marker H‐1‐(3‐[18F]‐fluoro‐2‐hydroxypropyl)‐2‐nitroimidazole ([18F]‐FMISO). MR‐rOEF was determined from separate measurements of T2, T2* and relative cerebral blood volume (rCBV) employing a multi‐parametric approach for quantification of the blood‐oxygenation‐level‐dependent (BOLD) effect. With respect to [18F]‐FMISO‐PET, besides the commonly used late uptake between 120 and 130 min ([18F]‐FMISO120–130 min), we also analyzed the hypoxia specific uptake rate [18F]‐FMISO‐k3, as obtained by pharmacokinetic modeling of dynamic uptake data. Since pharmacokinetic modeling of partially acquired dynamic [18F]‐FMISO data was sensitive to a low signal‐to‐noise‐ratio, analysis was restricted to high‐uptake tumor regions. Individual spatial analyses of deoxygenation and hypoxia‐related parameter maps revealed that high MR‐rOEF values clustered in (edematous) peritumoral tissue, while areas with high [18F]‐FMISO120–130 min concentrated in and around active tumor with disrupted blood–brain barrier, i.e. contrast enhancement in T1‐weighted MRI. Volume‐of‐interest‐based correlations between MR‐rOEF and [18F]‐FMISO120–130 min as well as [18F]‐FMISO‐k3, and voxel‐wise analyses in individual patients, yielded limited correlations, supporting the notion that [18F]‐FMISO uptake, even after 2 h, might still be influenced by perfusion while [18F]‐FMISO‐k3 was severely hampered by noise. According to these results, vascular deoxygenation, as measured by MR‐rOEF, and severe tissue hypoxia, as measured by [18F]‐FMISO, show a poor spatial correspondence. Overall, the two methods appear to rather provide complementary than redundant information about high‐grade glioma biology.
Direct comparison of MR‐based relative oxygen extraction fraction (MR‐rOEF) with the PET hypoxia marker [18F]‐FMISO was performed in 12 patients with glioblastoma. While high MR‐rOEF values clustered in (edematous) peritumoral tissue, [18F]‐FMISO120–130min accumulated in and around active tumor with contrast enhancement |
doi_str_mv | 10.1002/nbm.3775 |
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Direct comparison of MR‐based relative oxygen extraction fraction (MR‐rOEF) with the PET hypoxia marker [18F]‐FMISO was performed in 12 patients with glioblastoma. While high MR‐rOEF values clustered in (edematous) peritumoral tissue, [18F]‐FMISO120–130min accumulated in and around active tumor with contrast enhancement in T1‐weighted MRI. According to these results, vascular deoxygenation, as measured by MR‐rOEF, and severe tissue hypoxia, as measured by [18F]‐FMISO, show a poor spatial correspondence, indicating that the two methods rather provide complementary information about high‐grade glioma biology.</description><identifier>ISSN: 0952-3480</identifier><identifier>EISSN: 1099-1492</identifier><identifier>DOI: 10.1002/nbm.3775</identifier><identifier>PMID: 28805936</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>[18F]‐FMISO ; Aged ; Biological products ; Blood ; Blood volume ; Blood-brain barrier ; Brain Neoplasms - diagnostic imaging ; Brain tumors ; Cell Hypoxia ; Cerebral blood flow ; Data acquisition ; Data processing ; Deoxygenation ; Female ; Fluorine isotopes ; Functional magnetic resonance imaging ; glioblastoma ; Glioma ; Glioma - diagnostic imaging ; Humans ; Hypoxia ; Image Enhancement ; Immunohistochemistry ; Magnetic Resonance Imaging - methods ; Male ; Malignancy ; Middle Aged ; Misonidazole - analogs & derivatives ; Modelling ; MR‐rOEF ; Neuroimaging ; Nitroimidazole ; Oxygenation ; Perfusion ; pharmacokinetic modeling ; Pharmacology ; Positron emission ; Positron emission tomography ; Positron-Emission Tomography - methods ; Signal to noise ratio ; Tomography ; Tumors</subject><ispartof>NMR in biomedicine, 2017-11, Vol.30 (11), p.n/a</ispartof><rights>Copyright © 2017 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4155-8a25d0c25dd2a2d53a8ea4a49590633234635dc906fcc9d39405d26ca0bae043</citedby><cites>FETCH-LOGICAL-c4155-8a25d0c25dd2a2d53a8ea4a49590633234635dc906fcc9d39405d26ca0bae043</cites><orcidid>0000-0003-4067-1928</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fnbm.3775$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fnbm.3775$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28805936$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Preibisch, Christine</creatorcontrib><creatorcontrib>Shi, Kuangyu</creatorcontrib><creatorcontrib>Kluge, Anne</creatorcontrib><creatorcontrib>Lukas, Mathias</creatorcontrib><creatorcontrib>Wiestler, Benedikt</creatorcontrib><creatorcontrib>Göttler, Jens</creatorcontrib><creatorcontrib>Gempt, Jens</creatorcontrib><creatorcontrib>Ringel, Florian</creatorcontrib><creatorcontrib>Al Jaberi, Mohamed</creatorcontrib><creatorcontrib>Schlegel, Jürgen</creatorcontrib><creatorcontrib>Meyer, Bernhard</creatorcontrib><creatorcontrib>Zimmer, Claus</creatorcontrib><creatorcontrib>Pyka, Thomas</creatorcontrib><creatorcontrib>Förster, Stefan</creatorcontrib><title>Characterizing hypoxia in human glioma: A simultaneous multimodal MRI and PET study</title><title>NMR in biomedicine</title><addtitle>NMR Biomed</addtitle><description>Hypoxia plays an important role for the prognosis and therapy response of cancer. Thus, hypoxia imaging would be a valuable tool for pre‐therapeutic assessment of tumor malignancy. However, there is no standard validated technique for clinical application available yet. Therefore, we performed a study in 12 patients with high‐grade glioma, where we directly compared the two currently most promising techniques, namely the MR‐based relative oxygen extraction fraction (MR‐rOEF) and the PET hypoxia marker H‐1‐(3‐[18F]‐fluoro‐2‐hydroxypropyl)‐2‐nitroimidazole ([18F]‐FMISO). MR‐rOEF was determined from separate measurements of T2, T2* and relative cerebral blood volume (rCBV) employing a multi‐parametric approach for quantification of the blood‐oxygenation‐level‐dependent (BOLD) effect. With respect to [18F]‐FMISO‐PET, besides the commonly used late uptake between 120 and 130 min ([18F]‐FMISO120–130 min), we also analyzed the hypoxia specific uptake rate [18F]‐FMISO‐k3, as obtained by pharmacokinetic modeling of dynamic uptake data. Since pharmacokinetic modeling of partially acquired dynamic [18F]‐FMISO data was sensitive to a low signal‐to‐noise‐ratio, analysis was restricted to high‐uptake tumor regions. Individual spatial analyses of deoxygenation and hypoxia‐related parameter maps revealed that high MR‐rOEF values clustered in (edematous) peritumoral tissue, while areas with high [18F]‐FMISO120–130 min concentrated in and around active tumor with disrupted blood–brain barrier, i.e. contrast enhancement in T1‐weighted MRI. Volume‐of‐interest‐based correlations between MR‐rOEF and [18F]‐FMISO120–130 min as well as [18F]‐FMISO‐k3, and voxel‐wise analyses in individual patients, yielded limited correlations, supporting the notion that [18F]‐FMISO uptake, even after 2 h, might still be influenced by perfusion while [18F]‐FMISO‐k3 was severely hampered by noise. According to these results, vascular deoxygenation, as measured by MR‐rOEF, and severe tissue hypoxia, as measured by [18F]‐FMISO, show a poor spatial correspondence. Overall, the two methods appear to rather provide complementary than redundant information about high‐grade glioma biology.
Direct comparison of MR‐based relative oxygen extraction fraction (MR‐rOEF) with the PET hypoxia marker [18F]‐FMISO was performed in 12 patients with glioblastoma. While high MR‐rOEF values clustered in (edematous) peritumoral tissue, [18F]‐FMISO120–130min accumulated in and around active tumor with contrast enhancement in T1‐weighted MRI. According to these results, vascular deoxygenation, as measured by MR‐rOEF, and severe tissue hypoxia, as measured by [18F]‐FMISO, show a poor spatial correspondence, indicating that the two methods rather provide complementary information about high‐grade glioma biology.</description><subject>[18F]‐FMISO</subject><subject>Aged</subject><subject>Biological products</subject><subject>Blood</subject><subject>Blood volume</subject><subject>Blood-brain barrier</subject><subject>Brain Neoplasms - diagnostic imaging</subject><subject>Brain tumors</subject><subject>Cell Hypoxia</subject><subject>Cerebral blood flow</subject><subject>Data acquisition</subject><subject>Data processing</subject><subject>Deoxygenation</subject><subject>Female</subject><subject>Fluorine isotopes</subject><subject>Functional magnetic resonance imaging</subject><subject>glioblastoma</subject><subject>Glioma</subject><subject>Glioma - diagnostic imaging</subject><subject>Humans</subject><subject>Hypoxia</subject><subject>Image Enhancement</subject><subject>Immunohistochemistry</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Malignancy</subject><subject>Middle Aged</subject><subject>Misonidazole - analogs & derivatives</subject><subject>Modelling</subject><subject>MR‐rOEF</subject><subject>Neuroimaging</subject><subject>Nitroimidazole</subject><subject>Oxygenation</subject><subject>Perfusion</subject><subject>pharmacokinetic modeling</subject><subject>Pharmacology</subject><subject>Positron emission</subject><subject>Positron emission tomography</subject><subject>Positron-Emission Tomography - methods</subject><subject>Signal to noise ratio</subject><subject>Tomography</subject><subject>Tumors</subject><issn>0952-3480</issn><issn>1099-1492</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kFtLAkEYhoco0izoF8RAN92sfXPSne5KrAStKO-Xz5lRR_ZgOy5lv741rSDo5jvAw8PLS8gpgzYD4Jf5JGuLblftkSYDrSMmNd8nTdCKR0LG0CBHISwAIJaCH5IGj2NQWnSa5KU3xxLNypX-w-czOl8vi3eP1Od0XmWY01nqiwyv6DUNPqvSFeauqALdnD4rLKZ09DygmFv61B_TsKrs-pgcTDEN7mS3W2R82x_37qPh492gdz2MjGRKRTFyZcHUw3LkVgmMHUqUWmnoCMGF7AhlTf1MjdFWaAnK8o5BmKADKVrkYqtdlsVr5cIqyXwwLk23EROmedyNOdesRs__oIuiKvM6XE0pBpIzJn6FpixCKN00WZY-w3KdMEg2PSd1z8mm5xo92wmrSebsD_hdbA1EW-DNp279ryh5uBl9CT8BNuKE8A</recordid><startdate>201711</startdate><enddate>201711</enddate><creator>Preibisch, Christine</creator><creator>Shi, Kuangyu</creator><creator>Kluge, Anne</creator><creator>Lukas, Mathias</creator><creator>Wiestler, Benedikt</creator><creator>Göttler, Jens</creator><creator>Gempt, Jens</creator><creator>Ringel, Florian</creator><creator>Al Jaberi, Mohamed</creator><creator>Schlegel, Jürgen</creator><creator>Meyer, Bernhard</creator><creator>Zimmer, Claus</creator><creator>Pyka, Thomas</creator><creator>Förster, Stefan</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-4067-1928</orcidid></search><sort><creationdate>201711</creationdate><title>Characterizing hypoxia in human glioma: A simultaneous multimodal MRI and PET study</title><author>Preibisch, Christine ; Shi, Kuangyu ; Kluge, Anne ; Lukas, Mathias ; Wiestler, Benedikt ; Göttler, Jens ; Gempt, Jens ; Ringel, Florian ; Al Jaberi, Mohamed ; Schlegel, Jürgen ; Meyer, Bernhard ; Zimmer, Claus ; Pyka, Thomas ; Förster, Stefan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4155-8a25d0c25dd2a2d53a8ea4a49590633234635dc906fcc9d39405d26ca0bae043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>[18F]‐FMISO</topic><topic>Aged</topic><topic>Biological products</topic><topic>Blood</topic><topic>Blood volume</topic><topic>Blood-brain barrier</topic><topic>Brain Neoplasms - diagnostic imaging</topic><topic>Brain tumors</topic><topic>Cell Hypoxia</topic><topic>Cerebral blood flow</topic><topic>Data acquisition</topic><topic>Data processing</topic><topic>Deoxygenation</topic><topic>Female</topic><topic>Fluorine isotopes</topic><topic>Functional magnetic resonance imaging</topic><topic>glioblastoma</topic><topic>Glioma</topic><topic>Glioma - diagnostic imaging</topic><topic>Humans</topic><topic>Hypoxia</topic><topic>Image Enhancement</topic><topic>Immunohistochemistry</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Malignancy</topic><topic>Middle Aged</topic><topic>Misonidazole - analogs & derivatives</topic><topic>Modelling</topic><topic>MR‐rOEF</topic><topic>Neuroimaging</topic><topic>Nitroimidazole</topic><topic>Oxygenation</topic><topic>Perfusion</topic><topic>pharmacokinetic modeling</topic><topic>Pharmacology</topic><topic>Positron emission</topic><topic>Positron emission tomography</topic><topic>Positron-Emission Tomography - methods</topic><topic>Signal to noise ratio</topic><topic>Tomography</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Preibisch, Christine</creatorcontrib><creatorcontrib>Shi, Kuangyu</creatorcontrib><creatorcontrib>Kluge, Anne</creatorcontrib><creatorcontrib>Lukas, Mathias</creatorcontrib><creatorcontrib>Wiestler, Benedikt</creatorcontrib><creatorcontrib>Göttler, Jens</creatorcontrib><creatorcontrib>Gempt, Jens</creatorcontrib><creatorcontrib>Ringel, Florian</creatorcontrib><creatorcontrib>Al Jaberi, Mohamed</creatorcontrib><creatorcontrib>Schlegel, Jürgen</creatorcontrib><creatorcontrib>Meyer, Bernhard</creatorcontrib><creatorcontrib>Zimmer, Claus</creatorcontrib><creatorcontrib>Pyka, Thomas</creatorcontrib><creatorcontrib>Förster, Stefan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>NMR in biomedicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Preibisch, Christine</au><au>Shi, Kuangyu</au><au>Kluge, Anne</au><au>Lukas, Mathias</au><au>Wiestler, Benedikt</au><au>Göttler, Jens</au><au>Gempt, Jens</au><au>Ringel, Florian</au><au>Al Jaberi, Mohamed</au><au>Schlegel, Jürgen</au><au>Meyer, Bernhard</au><au>Zimmer, Claus</au><au>Pyka, Thomas</au><au>Förster, Stefan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterizing hypoxia in human glioma: A simultaneous multimodal MRI and PET study</atitle><jtitle>NMR in biomedicine</jtitle><addtitle>NMR Biomed</addtitle><date>2017-11</date><risdate>2017</risdate><volume>30</volume><issue>11</issue><epage>n/a</epage><issn>0952-3480</issn><eissn>1099-1492</eissn><abstract>Hypoxia plays an important role for the prognosis and therapy response of cancer. Thus, hypoxia imaging would be a valuable tool for pre‐therapeutic assessment of tumor malignancy. However, there is no standard validated technique for clinical application available yet. Therefore, we performed a study in 12 patients with high‐grade glioma, where we directly compared the two currently most promising techniques, namely the MR‐based relative oxygen extraction fraction (MR‐rOEF) and the PET hypoxia marker H‐1‐(3‐[18F]‐fluoro‐2‐hydroxypropyl)‐2‐nitroimidazole ([18F]‐FMISO). MR‐rOEF was determined from separate measurements of T2, T2* and relative cerebral blood volume (rCBV) employing a multi‐parametric approach for quantification of the blood‐oxygenation‐level‐dependent (BOLD) effect. With respect to [18F]‐FMISO‐PET, besides the commonly used late uptake between 120 and 130 min ([18F]‐FMISO120–130 min), we also analyzed the hypoxia specific uptake rate [18F]‐FMISO‐k3, as obtained by pharmacokinetic modeling of dynamic uptake data. Since pharmacokinetic modeling of partially acquired dynamic [18F]‐FMISO data was sensitive to a low signal‐to‐noise‐ratio, analysis was restricted to high‐uptake tumor regions. Individual spatial analyses of deoxygenation and hypoxia‐related parameter maps revealed that high MR‐rOEF values clustered in (edematous) peritumoral tissue, while areas with high [18F]‐FMISO120–130 min concentrated in and around active tumor with disrupted blood–brain barrier, i.e. contrast enhancement in T1‐weighted MRI. Volume‐of‐interest‐based correlations between MR‐rOEF and [18F]‐FMISO120–130 min as well as [18F]‐FMISO‐k3, and voxel‐wise analyses in individual patients, yielded limited correlations, supporting the notion that [18F]‐FMISO uptake, even after 2 h, might still be influenced by perfusion while [18F]‐FMISO‐k3 was severely hampered by noise. According to these results, vascular deoxygenation, as measured by MR‐rOEF, and severe tissue hypoxia, as measured by [18F]‐FMISO, show a poor spatial correspondence. Overall, the two methods appear to rather provide complementary than redundant information about high‐grade glioma biology.
Direct comparison of MR‐based relative oxygen extraction fraction (MR‐rOEF) with the PET hypoxia marker [18F]‐FMISO was performed in 12 patients with glioblastoma. While high MR‐rOEF values clustered in (edematous) peritumoral tissue, [18F]‐FMISO120–130min accumulated in and around active tumor with contrast enhancement in T1‐weighted MRI. According to these results, vascular deoxygenation, as measured by MR‐rOEF, and severe tissue hypoxia, as measured by [18F]‐FMISO, show a poor spatial correspondence, indicating that the two methods rather provide complementary information about high‐grade glioma biology.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>28805936</pmid><doi>10.1002/nbm.3775</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-4067-1928</orcidid></addata></record> |
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subjects | [18F]‐FMISO Aged Biological products Blood Blood volume Blood-brain barrier Brain Neoplasms - diagnostic imaging Brain tumors Cell Hypoxia Cerebral blood flow Data acquisition Data processing Deoxygenation Female Fluorine isotopes Functional magnetic resonance imaging glioblastoma Glioma Glioma - diagnostic imaging Humans Hypoxia Image Enhancement Immunohistochemistry Magnetic Resonance Imaging - methods Male Malignancy Middle Aged Misonidazole - analogs & derivatives Modelling MR‐rOEF Neuroimaging Nitroimidazole Oxygenation Perfusion pharmacokinetic modeling Pharmacology Positron emission Positron emission tomography Positron-Emission Tomography - methods Signal to noise ratio Tomography Tumors |
title | Characterizing hypoxia in human glioma: A simultaneous multimodal MRI and PET study |
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