Loading…
Multiparametric analysis from dynamic susceptibility contrast‐enhanced perfusion MRI to evaluate malignant brain tumors
Background and Purpose Dynamic susceptibility contrast‐enhanced (DSC) MR perfusion is a valuable technique for distinguishing brain tumors. Diagnostic potential of measurable parameters derived from preload leakage‐corrected‐DSC‐MRI remains somewhat underexplored. This study aimed to evaluate these...
Saved in:
Published in: | Journal of neuroimaging 2024-03, Vol.34 (2), p.257-266 |
---|---|
Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c3133-5e1cc19d67da6242f689c0ad2f4ae490654fc4fd49ffe6c8e15b53fa9d31a2263 |
container_end_page | 266 |
container_issue | 2 |
container_start_page | 257 |
container_title | Journal of neuroimaging |
container_volume | 34 |
creator | Abreu, Vasco Sousa Tarrio, João Silva, José Almeida, Francisco Pinto, Catarina Freitas, Davide Filipe, João Pedro |
description | Background and Purpose
Dynamic susceptibility contrast‐enhanced (DSC) MR perfusion is a valuable technique for distinguishing brain tumors. Diagnostic potential of measurable parameters derived from preload leakage‐corrected‐DSC‐MRI remains somewhat underexplored. This study aimed to evaluate these parameters for differentiating primary CNS lymphoma (PCNSL), glioblastoma, and metastasis.
Methods
Thirty‐nine patients with pathologically proven PCNSL (n = 14), glioblastoma (n = 14), and metastasis (n = 11) were analyzed. Five DSC parameters—relative CBV (rCBV), percentage of signal recovery (PSR), downward slope (DS), upward slope (US), and first‐pass slope ratio—were derived from tumor‐enhancing areas. Diagnostic performance was assessed using receiver operating characteristic curve analysis.
Results
RCBV was higher in metastasis (4.58; interquartile range [IQR]: 2.54) and glioblastoma (3.98; IQR: 1.87), compared with PCNSL (1.46; IQR: 0.29; p = .00006 for both). rCBV better distinguished metastasis and glioblastoma from PCNSL, with an area under the curve (AUC) of 0.97 and 0.99, respectively.
PSR was higher in PCNSL (88.11; IQR: 21.21) than metastases (58.30; IQR: 22.28; p = .0002), while glioblastoma (74.54; IQR: 21.23) presented almost significant trend‐level differences compared to the others (p≈.05). AUCs were 0.79 (PCNSL vs. glioblastoma), 0.91 (PCNSL vs. metastasis), and 0.78 (glioblastoma vs. metastasis).
DS and US parameters were statistically significant between glioblastoma (−109.92; IQR: 152.71 and 59.06; IQR: 52.87) and PCNSL (−47.36; IQR: 44.30 and 21.68; IQR: 16.85), presenting AUCs of 0.86 and 0.87.
Conclusion
Metastasis and glioblastoma can be better differentiated from PCNSL through rCBV. PSR demonstrated higher differential performance compared to the other parameters and seemed useful, allowing a proper distinction among all, particularly between metastasis and glioblastoma, where rCBV failed. Finally, DS and US were only helpful in differentiating glioblastoma from PCNSL. |
doi_str_mv | 10.1111/jon.13183 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2910196348</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2954753383</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3133-5e1cc19d67da6242f689c0ad2f4ae490654fc4fd49ffe6c8e15b53fa9d31a2263</originalsourceid><addsrcrecordid>eNp10c1qFTEYBuAgFlurC29AAm50MW3-z8xSij8trQXR9fCdTKI5ZJIxP8rsvASv0Ssx9bQuCmaTEJ688OVF6BklJ7St010MJ5TTnj9AR1RK1imphoftTCTtGOvFIXqc844QRgXjj9Ah7-mGk01_hNar6otbIMFsSnIaQwC_ZpexTXHG0xpgbre5Zm2W4rbOu7JiHUNJkMvvn79M-ApBmwkvJtmaXQz46uM5LhGb7-ArFINn8O5LgFDwNoELuNQ5pvwEHVjw2Ty93Y_R57dvPp297y6v352fvb7sNKecd9JQrekwqc0EiglmVT9oAhOzAowYiJLCamEnMVhrlO4NlVvJLQwTp8CY4sfo5T53SfFbNbmMs2vDeA_BxJpHNlBCB8VF3-iLe3QXa2ofcqOk2EjOe97Uq73SKeacjB2X5GZI60jJeNNHexXGv300-_w2sW5nM_2TdwU0cLoHP5w36_-TxovrD_vIP6qnmB4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2954753383</pqid></control><display><type>article</type><title>Multiparametric analysis from dynamic susceptibility contrast‐enhanced perfusion MRI to evaluate malignant brain tumors</title><source>Wiley</source><creator>Abreu, Vasco Sousa ; Tarrio, João ; Silva, José ; Almeida, Francisco ; Pinto, Catarina ; Freitas, Davide ; Filipe, João Pedro</creator><creatorcontrib>Abreu, Vasco Sousa ; Tarrio, João ; Silva, José ; Almeida, Francisco ; Pinto, Catarina ; Freitas, Davide ; Filipe, João Pedro</creatorcontrib><description>Background and Purpose
Dynamic susceptibility contrast‐enhanced (DSC) MR perfusion is a valuable technique for distinguishing brain tumors. Diagnostic potential of measurable parameters derived from preload leakage‐corrected‐DSC‐MRI remains somewhat underexplored. This study aimed to evaluate these parameters for differentiating primary CNS lymphoma (PCNSL), glioblastoma, and metastasis.
Methods
Thirty‐nine patients with pathologically proven PCNSL (n = 14), glioblastoma (n = 14), and metastasis (n = 11) were analyzed. Five DSC parameters—relative CBV (rCBV), percentage of signal recovery (PSR), downward slope (DS), upward slope (US), and first‐pass slope ratio—were derived from tumor‐enhancing areas. Diagnostic performance was assessed using receiver operating characteristic curve analysis.
Results
RCBV was higher in metastasis (4.58; interquartile range [IQR]: 2.54) and glioblastoma (3.98; IQR: 1.87), compared with PCNSL (1.46; IQR: 0.29; p = .00006 for both). rCBV better distinguished metastasis and glioblastoma from PCNSL, with an area under the curve (AUC) of 0.97 and 0.99, respectively.
PSR was higher in PCNSL (88.11; IQR: 21.21) than metastases (58.30; IQR: 22.28; p = .0002), while glioblastoma (74.54; IQR: 21.23) presented almost significant trend‐level differences compared to the others (p≈.05). AUCs were 0.79 (PCNSL vs. glioblastoma), 0.91 (PCNSL vs. metastasis), and 0.78 (glioblastoma vs. metastasis).
DS and US parameters were statistically significant between glioblastoma (−109.92; IQR: 152.71 and 59.06; IQR: 52.87) and PCNSL (−47.36; IQR: 44.30 and 21.68; IQR: 16.85), presenting AUCs of 0.86 and 0.87.
Conclusion
Metastasis and glioblastoma can be better differentiated from PCNSL through rCBV. PSR demonstrated higher differential performance compared to the other parameters and seemed useful, allowing a proper distinction among all, particularly between metastasis and glioblastoma, where rCBV failed. Finally, DS and US were only helpful in differentiating glioblastoma from PCNSL.</description><identifier>ISSN: 1051-2284</identifier><identifier>EISSN: 1552-6569</identifier><identifier>DOI: 10.1111/jon.13183</identifier><identifier>PMID: 38173078</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Brain ; Brain cancer ; Brain tumors ; Diagnostic systems ; DSC ; GBM ; Glioblastoma ; Lymphoma ; Magnetic resonance imaging ; Metastases ; Metastasis ; MRI perfusion ; Parameters ; PCNSL ; Perfusion ; PWI ; Signal reconstruction ; Statistical analysis ; Tumors</subject><ispartof>Journal of neuroimaging, 2024-03, Vol.34 (2), p.257-266</ispartof><rights>2024 American Society of Neuroimaging.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3133-5e1cc19d67da6242f689c0ad2f4ae490654fc4fd49ffe6c8e15b53fa9d31a2263</cites><orcidid>0000-0001-8942-275X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38173078$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Abreu, Vasco Sousa</creatorcontrib><creatorcontrib>Tarrio, João</creatorcontrib><creatorcontrib>Silva, José</creatorcontrib><creatorcontrib>Almeida, Francisco</creatorcontrib><creatorcontrib>Pinto, Catarina</creatorcontrib><creatorcontrib>Freitas, Davide</creatorcontrib><creatorcontrib>Filipe, João Pedro</creatorcontrib><title>Multiparametric analysis from dynamic susceptibility contrast‐enhanced perfusion MRI to evaluate malignant brain tumors</title><title>Journal of neuroimaging</title><addtitle>J Neuroimaging</addtitle><description>Background and Purpose
Dynamic susceptibility contrast‐enhanced (DSC) MR perfusion is a valuable technique for distinguishing brain tumors. Diagnostic potential of measurable parameters derived from preload leakage‐corrected‐DSC‐MRI remains somewhat underexplored. This study aimed to evaluate these parameters for differentiating primary CNS lymphoma (PCNSL), glioblastoma, and metastasis.
Methods
Thirty‐nine patients with pathologically proven PCNSL (n = 14), glioblastoma (n = 14), and metastasis (n = 11) were analyzed. Five DSC parameters—relative CBV (rCBV), percentage of signal recovery (PSR), downward slope (DS), upward slope (US), and first‐pass slope ratio—were derived from tumor‐enhancing areas. Diagnostic performance was assessed using receiver operating characteristic curve analysis.
Results
RCBV was higher in metastasis (4.58; interquartile range [IQR]: 2.54) and glioblastoma (3.98; IQR: 1.87), compared with PCNSL (1.46; IQR: 0.29; p = .00006 for both). rCBV better distinguished metastasis and glioblastoma from PCNSL, with an area under the curve (AUC) of 0.97 and 0.99, respectively.
PSR was higher in PCNSL (88.11; IQR: 21.21) than metastases (58.30; IQR: 22.28; p = .0002), while glioblastoma (74.54; IQR: 21.23) presented almost significant trend‐level differences compared to the others (p≈.05). AUCs were 0.79 (PCNSL vs. glioblastoma), 0.91 (PCNSL vs. metastasis), and 0.78 (glioblastoma vs. metastasis).
DS and US parameters were statistically significant between glioblastoma (−109.92; IQR: 152.71 and 59.06; IQR: 52.87) and PCNSL (−47.36; IQR: 44.30 and 21.68; IQR: 16.85), presenting AUCs of 0.86 and 0.87.
Conclusion
Metastasis and glioblastoma can be better differentiated from PCNSL through rCBV. PSR demonstrated higher differential performance compared to the other parameters and seemed useful, allowing a proper distinction among all, particularly between metastasis and glioblastoma, where rCBV failed. Finally, DS and US were only helpful in differentiating glioblastoma from PCNSL.</description><subject>Brain</subject><subject>Brain cancer</subject><subject>Brain tumors</subject><subject>Diagnostic systems</subject><subject>DSC</subject><subject>GBM</subject><subject>Glioblastoma</subject><subject>Lymphoma</subject><subject>Magnetic resonance imaging</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>MRI perfusion</subject><subject>Parameters</subject><subject>PCNSL</subject><subject>Perfusion</subject><subject>PWI</subject><subject>Signal reconstruction</subject><subject>Statistical analysis</subject><subject>Tumors</subject><issn>1051-2284</issn><issn>1552-6569</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp10c1qFTEYBuAgFlurC29AAm50MW3-z8xSij8trQXR9fCdTKI5ZJIxP8rsvASv0Ssx9bQuCmaTEJ688OVF6BklJ7St010MJ5TTnj9AR1RK1imphoftTCTtGOvFIXqc844QRgXjj9Ah7-mGk01_hNar6otbIMFsSnIaQwC_ZpexTXHG0xpgbre5Zm2W4rbOu7JiHUNJkMvvn79M-ApBmwkvJtmaXQz46uM5LhGb7-ArFINn8O5LgFDwNoELuNQ5pvwEHVjw2Ty93Y_R57dvPp297y6v352fvb7sNKecd9JQrekwqc0EiglmVT9oAhOzAowYiJLCamEnMVhrlO4NlVvJLQwTp8CY4sfo5T53SfFbNbmMs2vDeA_BxJpHNlBCB8VF3-iLe3QXa2ofcqOk2EjOe97Uq73SKeacjB2X5GZI60jJeNNHexXGv300-_w2sW5nM_2TdwU0cLoHP5w36_-TxovrD_vIP6qnmB4</recordid><startdate>202403</startdate><enddate>202403</enddate><creator>Abreu, Vasco Sousa</creator><creator>Tarrio, João</creator><creator>Silva, José</creator><creator>Almeida, Francisco</creator><creator>Pinto, Catarina</creator><creator>Freitas, Davide</creator><creator>Filipe, João Pedro</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7QP</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-8942-275X</orcidid></search><sort><creationdate>202403</creationdate><title>Multiparametric analysis from dynamic susceptibility contrast‐enhanced perfusion MRI to evaluate malignant brain tumors</title><author>Abreu, Vasco Sousa ; Tarrio, João ; Silva, José ; Almeida, Francisco ; Pinto, Catarina ; Freitas, Davide ; Filipe, João Pedro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3133-5e1cc19d67da6242f689c0ad2f4ae490654fc4fd49ffe6c8e15b53fa9d31a2263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Brain</topic><topic>Brain cancer</topic><topic>Brain tumors</topic><topic>Diagnostic systems</topic><topic>DSC</topic><topic>GBM</topic><topic>Glioblastoma</topic><topic>Lymphoma</topic><topic>Magnetic resonance imaging</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>MRI perfusion</topic><topic>Parameters</topic><topic>PCNSL</topic><topic>Perfusion</topic><topic>PWI</topic><topic>Signal reconstruction</topic><topic>Statistical analysis</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abreu, Vasco Sousa</creatorcontrib><creatorcontrib>Tarrio, João</creatorcontrib><creatorcontrib>Silva, José</creatorcontrib><creatorcontrib>Almeida, Francisco</creatorcontrib><creatorcontrib>Pinto, Catarina</creatorcontrib><creatorcontrib>Freitas, Davide</creatorcontrib><creatorcontrib>Filipe, João Pedro</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of neuroimaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abreu, Vasco Sousa</au><au>Tarrio, João</au><au>Silva, José</au><au>Almeida, Francisco</au><au>Pinto, Catarina</au><au>Freitas, Davide</au><au>Filipe, João Pedro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiparametric analysis from dynamic susceptibility contrast‐enhanced perfusion MRI to evaluate malignant brain tumors</atitle><jtitle>Journal of neuroimaging</jtitle><addtitle>J Neuroimaging</addtitle><date>2024-03</date><risdate>2024</risdate><volume>34</volume><issue>2</issue><spage>257</spage><epage>266</epage><pages>257-266</pages><issn>1051-2284</issn><eissn>1552-6569</eissn><abstract>Background and Purpose
Dynamic susceptibility contrast‐enhanced (DSC) MR perfusion is a valuable technique for distinguishing brain tumors. Diagnostic potential of measurable parameters derived from preload leakage‐corrected‐DSC‐MRI remains somewhat underexplored. This study aimed to evaluate these parameters for differentiating primary CNS lymphoma (PCNSL), glioblastoma, and metastasis.
Methods
Thirty‐nine patients with pathologically proven PCNSL (n = 14), glioblastoma (n = 14), and metastasis (n = 11) were analyzed. Five DSC parameters—relative CBV (rCBV), percentage of signal recovery (PSR), downward slope (DS), upward slope (US), and first‐pass slope ratio—were derived from tumor‐enhancing areas. Diagnostic performance was assessed using receiver operating characteristic curve analysis.
Results
RCBV was higher in metastasis (4.58; interquartile range [IQR]: 2.54) and glioblastoma (3.98; IQR: 1.87), compared with PCNSL (1.46; IQR: 0.29; p = .00006 for both). rCBV better distinguished metastasis and glioblastoma from PCNSL, with an area under the curve (AUC) of 0.97 and 0.99, respectively.
PSR was higher in PCNSL (88.11; IQR: 21.21) than metastases (58.30; IQR: 22.28; p = .0002), while glioblastoma (74.54; IQR: 21.23) presented almost significant trend‐level differences compared to the others (p≈.05). AUCs were 0.79 (PCNSL vs. glioblastoma), 0.91 (PCNSL vs. metastasis), and 0.78 (glioblastoma vs. metastasis).
DS and US parameters were statistically significant between glioblastoma (−109.92; IQR: 152.71 and 59.06; IQR: 52.87) and PCNSL (−47.36; IQR: 44.30 and 21.68; IQR: 16.85), presenting AUCs of 0.86 and 0.87.
Conclusion
Metastasis and glioblastoma can be better differentiated from PCNSL through rCBV. PSR demonstrated higher differential performance compared to the other parameters and seemed useful, allowing a proper distinction among all, particularly between metastasis and glioblastoma, where rCBV failed. Finally, DS and US were only helpful in differentiating glioblastoma from PCNSL.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>38173078</pmid><doi>10.1111/jon.13183</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-8942-275X</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1051-2284 |
ispartof | Journal of neuroimaging, 2024-03, Vol.34 (2), p.257-266 |
issn | 1051-2284 1552-6569 |
language | eng |
recordid | cdi_proquest_miscellaneous_2910196348 |
source | Wiley |
subjects | Brain Brain cancer Brain tumors Diagnostic systems DSC GBM Glioblastoma Lymphoma Magnetic resonance imaging Metastases Metastasis MRI perfusion Parameters PCNSL Perfusion PWI Signal reconstruction Statistical analysis Tumors |
title | Multiparametric analysis from dynamic susceptibility contrast‐enhanced perfusion MRI to evaluate malignant brain tumors |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T12%3A37%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Multiparametric%20analysis%20from%20dynamic%20susceptibility%20contrast%E2%80%90enhanced%20perfusion%20MRI%20to%20evaluate%20malignant%20brain%20tumors&rft.jtitle=Journal%20of%20neuroimaging&rft.au=Abreu,%20Vasco%20Sousa&rft.date=2024-03&rft.volume=34&rft.issue=2&rft.spage=257&rft.epage=266&rft.pages=257-266&rft.issn=1051-2284&rft.eissn=1552-6569&rft_id=info:doi/10.1111/jon.13183&rft_dat=%3Cproquest_cross%3E2954753383%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c3133-5e1cc19d67da6242f689c0ad2f4ae490654fc4fd49ffe6c8e15b53fa9d31a2263%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2954753383&rft_id=info:pmid/38173078&rfr_iscdi=true |