Simultaneously acquired PET and ASL imaging biomarkers may be helpful in differentiating progression from pseudo-progression in treated gliomas
Objectives The aim of this work was investigating the methods based on coupling cerebral perfusion (ASL) and amino acid metabolism ([ 18 F]DOPA-PET) measurements to evaluate the diagnostic performance of PET/MRI in glioma follow-up. Methods Images were acquired using a 3-T PET/MR system, on a prospe...
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creator | Pellerin, Arnaud Khalifé, Maya Sanson, Marc Rozenblum-Beddok, Laura Bertaux, Marc Soret, Marine Galanaud, Damien Dormont, Didier Kas, Aurélie Pyatigorskaya, Nadya |
description | Objectives
The aim of this work was investigating the methods based on coupling cerebral perfusion (ASL) and amino acid metabolism ([
18
F]DOPA-PET) measurements to evaluate the diagnostic performance of PET/MRI in glioma follow-up.
Methods
Images were acquired using a 3-T PET/MR system, on a prospective cohort of patients addressed for possible glioma progression. Data were preprocessed with statistical parametric mapping (SPM), including registration on T1-weighted images, spatial and intensity normalization, and tumor segmentation. As index tests, tumor isocontour maps of [
18
F]DOPA-PET and ASL T-maps were created and metabolic/perfusion abnormalities were evaluated with the asymmetry index
z
-score. SPM map analysis of significant size clusters and semi-quantitative PET and ASL map evaluation were performed and compared to the gold standard diagnosis. Lastly, ASL and PET topography of significant clusters was compared to that of the initial tumor.
Results
Fifty-eight patients with unilateral treated glioma were included (34 progressions and 24 pseudo-progressions). The tumor isocontour maps and T-maps showed the highest specificity (100%) and sensitivity (94.1%) for ASL and [
18
F]DOPA analysis, respectively. The sensitivity of qualitative SPM maps and semi-quantitative rCBF and rSUV analyses were the highest for glioblastoma.
Conclusion
Tumor isocontour T-maps and combined analysis of CBF and [
18
F]DOPA-PET uptake allow achieving high diagnostic performance in differentiating between progression and pseudo-progression in treated gliomas. The sensitivity is particularly high for glioblastomas.
Key Points
•
Applied separately, MRI and PET imaging modalities may be insufficient to characterize the brain glioma post-therapeutic profile.
•
Combined ASL and [
18
F]DOPA-PET map analysis allows differentiating between tumor progression and pseudo-progression. |
doi_str_mv | 10.1007/s00330-021-07732-0 |
format | Article |
fullrecord | <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_03525444v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2507725083</sourcerecordid><originalsourceid>FETCH-LOGICAL-c409t-399dba6a35982db443133f7d8cc391fe3e018248c4e618a5e893c8ad007a7a463</originalsourceid><addsrcrecordid>eNp9kc9u1DAQxi1ERZeFF-CALHGBQ4qdcdb2cVUVirRSkVrOlhNPUpck3toJ0j4Fr4yXlIJ64GJb49988-cj5A1nZ5wx-TExBsAKVvKCSQllwZ6RFRf5wZkSz8mKaVCF1Fqckpcp3THGNBfyBTkFkEpqyVfk57Uf5n6yI4Y59Qdqm_vZR3T068UNtaOj2-sd9YPt_NjR2ofBxu8YEx3sgdZIb7Hft3NP_Uidb1uMOE7eTkd4H0MXMSUfRtrGMNB9wtmF4t94Tpsi2inX6_qjeHpFTlrbJ3z9cK_Jt08XN-eXxe7q85fz7a5oBNNTAVq72m4sVFqVrhYCOEArnWoa0LxFQMZVKVQjcMOVrVBpaJR1eW1WWrGBNfmw6N7a3uxjnjAeTLDeXG535hhjUJWVEOIHz-z7hc2t38-YJjP41GDfL1szZZXXnw8FGX33BL0LcxzzJJmSoqry2qtMlQvVxJBSxPaxA87M0VqzWGuytea3tbmdNXn7ID3XA7rHlD9eZgAWIOWvscP4t_Z_ZH8Bs0GvqQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2574558795</pqid></control><display><type>article</type><title>Simultaneously acquired PET and ASL imaging biomarkers may be helpful in differentiating progression from pseudo-progression in treated gliomas</title><source>SpringerNature Complete Journals</source><creator>Pellerin, Arnaud ; Khalifé, Maya ; Sanson, Marc ; Rozenblum-Beddok, Laura ; Bertaux, Marc ; Soret, Marine ; Galanaud, Damien ; Dormont, Didier ; Kas, Aurélie ; Pyatigorskaya, Nadya</creator><creatorcontrib>Pellerin, Arnaud ; Khalifé, Maya ; Sanson, Marc ; Rozenblum-Beddok, Laura ; Bertaux, Marc ; Soret, Marine ; Galanaud, Damien ; Dormont, Didier ; Kas, Aurélie ; Pyatigorskaya, Nadya</creatorcontrib><description>Objectives
The aim of this work was investigating the methods based on coupling cerebral perfusion (ASL) and amino acid metabolism ([
18
F]DOPA-PET) measurements to evaluate the diagnostic performance of PET/MRI in glioma follow-up.
Methods
Images were acquired using a 3-T PET/MR system, on a prospective cohort of patients addressed for possible glioma progression. Data were preprocessed with statistical parametric mapping (SPM), including registration on T1-weighted images, spatial and intensity normalization, and tumor segmentation. As index tests, tumor isocontour maps of [
18
F]DOPA-PET and ASL T-maps were created and metabolic/perfusion abnormalities were evaluated with the asymmetry index
z
-score. SPM map analysis of significant size clusters and semi-quantitative PET and ASL map evaluation were performed and compared to the gold standard diagnosis. Lastly, ASL and PET topography of significant clusters was compared to that of the initial tumor.
Results
Fifty-eight patients with unilateral treated glioma were included (34 progressions and 24 pseudo-progressions). The tumor isocontour maps and T-maps showed the highest specificity (100%) and sensitivity (94.1%) for ASL and [
18
F]DOPA analysis, respectively. The sensitivity of qualitative SPM maps and semi-quantitative rCBF and rSUV analyses were the highest for glioblastoma.
Conclusion
Tumor isocontour T-maps and combined analysis of CBF and [
18
F]DOPA-PET uptake allow achieving high diagnostic performance in differentiating between progression and pseudo-progression in treated gliomas. The sensitivity is particularly high for glioblastomas.
Key Points
•
Applied separately, MRI and PET imaging modalities may be insufficient to characterize the brain glioma post-therapeutic profile.
•
Combined ASL and [
18
F]DOPA-PET map analysis allows differentiating between tumor progression and pseudo-progression.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-021-07732-0</identifier><identifier>PMID: 33787971</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Abnormalities ; Amino acids ; Bioengineering ; Biomarkers ; Brain Neoplasms ; Clusters ; Computer Science ; Computer Vision and Pattern Recognition ; Diagnostic Radiology ; Diagnostic systems ; Dihydroxyphenylalanine ; Engineering Sciences ; Fluorine isotopes ; Glioblastoma ; Glioma ; Humans ; Image acquisition ; Image Processing ; Image segmentation ; Imaging ; Internal Medicine ; Interventional Radiology ; Life Sciences ; Magnetic Resonance Imaging ; Medical Imaging ; Medicine ; Medicine & Public Health ; Metabolism ; Neuro ; Neurobiology ; Neuroimaging ; Neurons and Cognition ; Neuroradiology ; Performance evaluation ; Perfusion ; Positron emission ; Positron emission tomography ; Progressions ; Prospective Studies ; Qualitative analysis ; Radiology ; Sensitivity analysis ; Signal and Image processing ; Tomography ; Tumors ; Ultrasound</subject><ispartof>European radiology, 2021-10, Vol.31 (10), p.7395-7405</ispartof><rights>European Society of Radiology 2021</rights><rights>European Society of Radiology 2021.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c409t-399dba6a35982db443133f7d8cc391fe3e018248c4e618a5e893c8ad007a7a463</citedby><cites>FETCH-LOGICAL-c409t-399dba6a35982db443133f7d8cc391fe3e018248c4e618a5e893c8ad007a7a463</cites><orcidid>0000-0001-8010-6400 ; 0000-0002-1813-8476 ; 0000-0002-9285-8121 ; 0000-0002-6080-1286 ; 0000-0001-9463-3658 ; 0000-0002-0097-7765 ; 0000-0002-2070-1299 ; 0000-0001-9954-8866</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00330-021-07732-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-021-07732-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33787971$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://inria.hal.science/hal-03525444$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Pellerin, Arnaud</creatorcontrib><creatorcontrib>Khalifé, Maya</creatorcontrib><creatorcontrib>Sanson, Marc</creatorcontrib><creatorcontrib>Rozenblum-Beddok, Laura</creatorcontrib><creatorcontrib>Bertaux, Marc</creatorcontrib><creatorcontrib>Soret, Marine</creatorcontrib><creatorcontrib>Galanaud, Damien</creatorcontrib><creatorcontrib>Dormont, Didier</creatorcontrib><creatorcontrib>Kas, Aurélie</creatorcontrib><creatorcontrib>Pyatigorskaya, Nadya</creatorcontrib><title>Simultaneously acquired PET and ASL imaging biomarkers may be helpful in differentiating progression from pseudo-progression in treated gliomas</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objectives
The aim of this work was investigating the methods based on coupling cerebral perfusion (ASL) and amino acid metabolism ([
18
F]DOPA-PET) measurements to evaluate the diagnostic performance of PET/MRI in glioma follow-up.
Methods
Images were acquired using a 3-T PET/MR system, on a prospective cohort of patients addressed for possible glioma progression. Data were preprocessed with statistical parametric mapping (SPM), including registration on T1-weighted images, spatial and intensity normalization, and tumor segmentation. As index tests, tumor isocontour maps of [
18
F]DOPA-PET and ASL T-maps were created and metabolic/perfusion abnormalities were evaluated with the asymmetry index
z
-score. SPM map analysis of significant size clusters and semi-quantitative PET and ASL map evaluation were performed and compared to the gold standard diagnosis. Lastly, ASL and PET topography of significant clusters was compared to that of the initial tumor.
Results
Fifty-eight patients with unilateral treated glioma were included (34 progressions and 24 pseudo-progressions). The tumor isocontour maps and T-maps showed the highest specificity (100%) and sensitivity (94.1%) for ASL and [
18
F]DOPA analysis, respectively. The sensitivity of qualitative SPM maps and semi-quantitative rCBF and rSUV analyses were the highest for glioblastoma.
Conclusion
Tumor isocontour T-maps and combined analysis of CBF and [
18
F]DOPA-PET uptake allow achieving high diagnostic performance in differentiating between progression and pseudo-progression in treated gliomas. The sensitivity is particularly high for glioblastomas.
Key Points
•
Applied separately, MRI and PET imaging modalities may be insufficient to characterize the brain glioma post-therapeutic profile.
•
Combined ASL and [
18
F]DOPA-PET map analysis allows differentiating between tumor progression and pseudo-progression.</description><subject>Abnormalities</subject><subject>Amino acids</subject><subject>Bioengineering</subject><subject>Biomarkers</subject><subject>Brain Neoplasms</subject><subject>Clusters</subject><subject>Computer Science</subject><subject>Computer Vision and Pattern Recognition</subject><subject>Diagnostic Radiology</subject><subject>Diagnostic systems</subject><subject>Dihydroxyphenylalanine</subject><subject>Engineering Sciences</subject><subject>Fluorine isotopes</subject><subject>Glioblastoma</subject><subject>Glioma</subject><subject>Humans</subject><subject>Image acquisition</subject><subject>Image Processing</subject><subject>Image segmentation</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Life Sciences</subject><subject>Magnetic Resonance Imaging</subject><subject>Medical Imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolism</subject><subject>Neuro</subject><subject>Neurobiology</subject><subject>Neuroimaging</subject><subject>Neurons and Cognition</subject><subject>Neuroradiology</subject><subject>Performance evaluation</subject><subject>Perfusion</subject><subject>Positron emission</subject><subject>Positron emission tomography</subject><subject>Progressions</subject><subject>Prospective Studies</subject><subject>Qualitative analysis</subject><subject>Radiology</subject><subject>Sensitivity analysis</subject><subject>Signal and Image processing</subject><subject>Tomography</subject><subject>Tumors</subject><subject>Ultrasound</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kc9u1DAQxi1ERZeFF-CALHGBQ4qdcdb2cVUVirRSkVrOlhNPUpck3toJ0j4Fr4yXlIJ64GJb49988-cj5A1nZ5wx-TExBsAKVvKCSQllwZ6RFRf5wZkSz8mKaVCF1Fqckpcp3THGNBfyBTkFkEpqyVfk57Uf5n6yI4Y59Qdqm_vZR3T068UNtaOj2-sd9YPt_NjR2ofBxu8YEx3sgdZIb7Hft3NP_Uidb1uMOE7eTkd4H0MXMSUfRtrGMNB9wtmF4t94Tpsi2inX6_qjeHpFTlrbJ3z9cK_Jt08XN-eXxe7q85fz7a5oBNNTAVq72m4sVFqVrhYCOEArnWoa0LxFQMZVKVQjcMOVrVBpaJR1eW1WWrGBNfmw6N7a3uxjnjAeTLDeXG535hhjUJWVEOIHz-z7hc2t38-YJjP41GDfL1szZZXXnw8FGX33BL0LcxzzJJmSoqry2qtMlQvVxJBSxPaxA87M0VqzWGuytea3tbmdNXn7ID3XA7rHlD9eZgAWIOWvscP4t_Z_ZH8Bs0GvqQ</recordid><startdate>20211001</startdate><enddate>20211001</enddate><creator>Pellerin, Arnaud</creator><creator>Khalifé, Maya</creator><creator>Sanson, Marc</creator><creator>Rozenblum-Beddok, Laura</creator><creator>Bertaux, Marc</creator><creator>Soret, Marine</creator><creator>Galanaud, Damien</creator><creator>Dormont, Didier</creator><creator>Kas, Aurélie</creator><creator>Pyatigorskaya, Nadya</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><general>Springer 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acquired PET and ASL imaging biomarkers may be helpful in differentiating progression from pseudo-progression in treated gliomas</title><author>Pellerin, Arnaud ; Khalifé, Maya ; Sanson, Marc ; Rozenblum-Beddok, Laura ; Bertaux, Marc ; Soret, Marine ; Galanaud, Damien ; Dormont, Didier ; Kas, Aurélie ; Pyatigorskaya, Nadya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c409t-399dba6a35982db443133f7d8cc391fe3e018248c4e618a5e893c8ad007a7a463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Abnormalities</topic><topic>Amino acids</topic><topic>Bioengineering</topic><topic>Biomarkers</topic><topic>Brain Neoplasms</topic><topic>Clusters</topic><topic>Computer Science</topic><topic>Computer Vision and Pattern Recognition</topic><topic>Diagnostic Radiology</topic><topic>Diagnostic systems</topic><topic>Dihydroxyphenylalanine</topic><topic>Engineering Sciences</topic><topic>Fluorine isotopes</topic><topic>Glioblastoma</topic><topic>Glioma</topic><topic>Humans</topic><topic>Image acquisition</topic><topic>Image Processing</topic><topic>Image segmentation</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Life Sciences</topic><topic>Magnetic Resonance Imaging</topic><topic>Medical Imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolism</topic><topic>Neuro</topic><topic>Neurobiology</topic><topic>Neuroimaging</topic><topic>Neurons and Cognition</topic><topic>Neuroradiology</topic><topic>Performance evaluation</topic><topic>Perfusion</topic><topic>Positron emission</topic><topic>Positron emission tomography</topic><topic>Progressions</topic><topic>Prospective Studies</topic><topic>Qualitative analysis</topic><topic>Radiology</topic><topic>Sensitivity analysis</topic><topic>Signal and Image processing</topic><topic>Tomography</topic><topic>Tumors</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pellerin, Arnaud</creatorcontrib><creatorcontrib>Khalifé, Maya</creatorcontrib><creatorcontrib>Sanson, Marc</creatorcontrib><creatorcontrib>Rozenblum-Beddok, Laura</creatorcontrib><creatorcontrib>Bertaux, Marc</creatorcontrib><creatorcontrib>Soret, Marine</creatorcontrib><creatorcontrib>Galanaud, Damien</creatorcontrib><creatorcontrib>Dormont, Didier</creatorcontrib><creatorcontrib>Kas, Aurélie</creatorcontrib><creatorcontrib>Pyatigorskaya, Nadya</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 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Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pellerin, Arnaud</au><au>Khalifé, Maya</au><au>Sanson, Marc</au><au>Rozenblum-Beddok, Laura</au><au>Bertaux, Marc</au><au>Soret, Marine</au><au>Galanaud, Damien</au><au>Dormont, Didier</au><au>Kas, Aurélie</au><au>Pyatigorskaya, Nadya</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simultaneously acquired PET and ASL imaging biomarkers may be helpful in differentiating progression from pseudo-progression in treated gliomas</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2021-10-01</date><risdate>2021</risdate><volume>31</volume><issue>10</issue><spage>7395</spage><epage>7405</epage><pages>7395-7405</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objectives
The aim of this work was investigating the methods based on coupling cerebral perfusion (ASL) and amino acid metabolism ([
18
F]DOPA-PET) measurements to evaluate the diagnostic performance of PET/MRI in glioma follow-up.
Methods
Images were acquired using a 3-T PET/MR system, on a prospective cohort of patients addressed for possible glioma progression. Data were preprocessed with statistical parametric mapping (SPM), including registration on T1-weighted images, spatial and intensity normalization, and tumor segmentation. As index tests, tumor isocontour maps of [
18
F]DOPA-PET and ASL T-maps were created and metabolic/perfusion abnormalities were evaluated with the asymmetry index
z
-score. SPM map analysis of significant size clusters and semi-quantitative PET and ASL map evaluation were performed and compared to the gold standard diagnosis. Lastly, ASL and PET topography of significant clusters was compared to that of the initial tumor.
Results
Fifty-eight patients with unilateral treated glioma were included (34 progressions and 24 pseudo-progressions). The tumor isocontour maps and T-maps showed the highest specificity (100%) and sensitivity (94.1%) for ASL and [
18
F]DOPA analysis, respectively. The sensitivity of qualitative SPM maps and semi-quantitative rCBF and rSUV analyses were the highest for glioblastoma.
Conclusion
Tumor isocontour T-maps and combined analysis of CBF and [
18
F]DOPA-PET uptake allow achieving high diagnostic performance in differentiating between progression and pseudo-progression in treated gliomas. The sensitivity is particularly high for glioblastomas.
Key Points
•
Applied separately, MRI and PET imaging modalities may be insufficient to characterize the brain glioma post-therapeutic profile.
•
Combined ASL and [
18
F]DOPA-PET map analysis allows differentiating between tumor progression and pseudo-progression.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>33787971</pmid><doi>10.1007/s00330-021-07732-0</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-8010-6400</orcidid><orcidid>https://orcid.org/0000-0002-1813-8476</orcidid><orcidid>https://orcid.org/0000-0002-9285-8121</orcidid><orcidid>https://orcid.org/0000-0002-6080-1286</orcidid><orcidid>https://orcid.org/0000-0001-9463-3658</orcidid><orcidid>https://orcid.org/0000-0002-0097-7765</orcidid><orcidid>https://orcid.org/0000-0002-2070-1299</orcidid><orcidid>https://orcid.org/0000-0001-9954-8866</orcidid></addata></record> |
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ispartof | European radiology, 2021-10, Vol.31 (10), p.7395-7405 |
issn | 0938-7994 1432-1084 |
language | eng |
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source | SpringerNature Complete Journals |
subjects | Abnormalities Amino acids Bioengineering Biomarkers Brain Neoplasms Clusters Computer Science Computer Vision and Pattern Recognition Diagnostic Radiology Diagnostic systems Dihydroxyphenylalanine Engineering Sciences Fluorine isotopes Glioblastoma Glioma Humans Image acquisition Image Processing Image segmentation Imaging Internal Medicine Interventional Radiology Life Sciences Magnetic Resonance Imaging Medical Imaging Medicine Medicine & Public Health Metabolism Neuro Neurobiology Neuroimaging Neurons and Cognition Neuroradiology Performance evaluation Perfusion Positron emission Positron emission tomography Progressions Prospective Studies Qualitative analysis Radiology Sensitivity analysis Signal and Image processing Tomography Tumors Ultrasound |
title | Simultaneously acquired PET and ASL imaging biomarkers may be helpful in differentiating progression from pseudo-progression in treated gliomas |
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