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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Veröffentlicht in:European radiology 2021-10, Vol.31 (10), p.7395-7405
Hauptverfasser: Pellerin, Arnaud, Khalifé, Maya, Sanson, Marc, Rozenblum-Beddok, Laura, Bertaux, Marc, Soret, Marine, Galanaud, Damien, Dormont, Didier, Kas, Aurélie, Pyatigorskaya, Nadya
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container_end_page 7405
container_issue 10
container_start_page 7395
container_title European radiology
container_volume 31
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
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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 &amp; 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. 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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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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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