Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma
Intravoxel incoherent motion (IVIM) is an MRI technique with potential applications in measuring brain tumor perfusion, but its clinical impact remains to be determined. We assessed the usefulness of IVIM-metrics in predicting survival in newly diagnosed glioblastoma. Fifteen patients with glioblast...
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| Veröffentlicht in: | PloS one 2016-07, Vol.11 (7), p.e0158887-e0158887 |
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| creator | Puig, Josep Sánchez-González, Javier Blasco, Gerard Daunis-I-Estadella, Pepus Federau, Christian Alberich-Bayarri, Ángel Biarnes, Carles Nael, Kambiz Essig, Marco Jain, Rajan Wintermark, Max Pedraza, Salvador |
| description | Intravoxel incoherent motion (IVIM) is an MRI technique with potential applications in measuring brain tumor perfusion, but its clinical impact remains to be determined. We assessed the usefulness of IVIM-metrics in predicting survival in newly diagnosed glioblastoma.
Fifteen patients with glioblastoma underwent MRI including spin-echo echo-planar DWI using 13 b-values ranging from 0 to 1000 s/mm2. Parametric maps for diffusion coefficient (D), pseudodiffusion coefficient (D*), and perfusion fraction (f) were generated for contrast-enhancing regions (CER) and non-enhancing regions (NCER). Regions of interest were manually drawn in regions of maximum f and on the corresponding dynamic susceptibility contrast images. Prognostic factors were evaluated by Kaplan-Meier survival and Cox proportional hazards analyses.
We found that fCER and D*CER correlated with rCBFCER. The best cutoffs for 6-month survival were fCER>9.86% and D*CER>21.712 x10-3mm2/s (100% sensitivity, 71.4% specificity, 100% and 80% positive predictive values, and 80% and 100% negative predictive values; AUC:0.893 and 0.857, respectively). Treatment yielded the highest hazard ratio (5.484; 95% CI: 1.162-25.88; AUC: 0.723; P = 0.031); fCER combined with treatment predicted survival with 100% accuracy.
The IVIM-metrics fCER and D*CER are promising biomarkers of 6-month survival in newly diagnosed glioblastoma. |
| doi_str_mv | 10.1371/journal.pone.0158887 |
| format | Article |
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Fifteen patients with glioblastoma underwent MRI including spin-echo echo-planar DWI using 13 b-values ranging from 0 to 1000 s/mm2. Parametric maps for diffusion coefficient (D), pseudodiffusion coefficient (D*), and perfusion fraction (f) were generated for contrast-enhancing regions (CER) and non-enhancing regions (NCER). Regions of interest were manually drawn in regions of maximum f and on the corresponding dynamic susceptibility contrast images. Prognostic factors were evaluated by Kaplan-Meier survival and Cox proportional hazards analyses.
We found that fCER and D*CER correlated with rCBFCER. The best cutoffs for 6-month survival were fCER>9.86% and D*CER>21.712 x10-3mm2/s (100% sensitivity, 71.4% specificity, 100% and 80% positive predictive values, and 80% and 100% negative predictive values; AUC:0.893 and 0.857, respectively). Treatment yielded the highest hazard ratio (5.484; 95% CI: 1.162-25.88; AUC: 0.723; P = 0.031); fCER combined with treatment predicted survival with 100% accuracy.
The IVIM-metrics fCER and D*CER are promising biomarkers of 6-month survival in newly diagnosed glioblastoma.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0158887</identifier><identifier>PMID: 27387822</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aged ; Analysis ; Biological markers ; Biology and Life Sciences ; Biomarkers ; Biomarkers - metabolism ; Biomedical research ; Blood ; Brain ; Brain - diagnostic imaging ; Brain - pathology ; Brain cancer ; Brain Neoplasms - diagnostic imaging ; Brain Neoplasms - mortality ; Brain research ; Brain tumors ; Cervell ; Diagnosis ; Diffusion coefficient ; Diffusion Magnetic Resonance Imaging ; Female ; Gene mapping ; Glioblastoma ; Glioblastoma - diagnostic imaging ; Glioblastoma - mortality ; Glioblastomas ; Glioma ; Gliomas ; Gliomes ; Hazards ; Histology ; Humans ; Image contrast ; Image Processing, Computer-Assisted ; Kaplan-Meier Estimate ; Magnetic resonance ; Magnetic resonance imaging ; Male ; Medical diagnosis ; Medicine and Health Sciences ; Middle Aged ; Motion ; NMR ; Nuclear magnetic resonance ; Observer Variation ; Patients ; Perfusion ; Physical Sciences ; Prognosis ; Proportional Hazards Models ; Prospective Studies ; Radiation therapy ; Radiology ; Research and Analysis Methods ; Ressonància magnètica ; Sensitivity and Specificity ; Survival ; Treatment Outcome ; Tumors</subject><ispartof>PloS one, 2016-07, Vol.11 (7), p.e0158887-e0158887</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Puig et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Attribution 4.0 Spain info:eu-repo/semantics/openAccess <a href="http://creativecommons.org/licenses/by4.0/es/">http://creativecommons.org/licenses/by4.0/es/</a></rights><rights>2016 Puig et al 2016 Puig et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c800t-d04bdef2c9fe7c25c73021009d8655301bd23f052471ef53781cbcfc0f3e96de3</citedby><cites>FETCH-LOGICAL-c800t-d04bdef2c9fe7c25c73021009d8655301bd23f052471ef53781cbcfc0f3e96de3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4936699/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4936699/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,26951,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27387822$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Puig, Josep</creatorcontrib><creatorcontrib>Sánchez-González, Javier</creatorcontrib><creatorcontrib>Blasco, Gerard</creatorcontrib><creatorcontrib>Daunis-I-Estadella, Pepus</creatorcontrib><creatorcontrib>Federau, Christian</creatorcontrib><creatorcontrib>Alberich-Bayarri, Ángel</creatorcontrib><creatorcontrib>Biarnes, Carles</creatorcontrib><creatorcontrib>Nael, Kambiz</creatorcontrib><creatorcontrib>Essig, Marco</creatorcontrib><creatorcontrib>Jain, Rajan</creatorcontrib><creatorcontrib>Wintermark, Max</creatorcontrib><creatorcontrib>Pedraza, Salvador</creatorcontrib><title>Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Intravoxel incoherent motion (IVIM) is an MRI technique with potential applications in measuring brain tumor perfusion, but its clinical impact remains to be determined. We assessed the usefulness of IVIM-metrics in predicting survival in newly diagnosed glioblastoma.
Fifteen patients with glioblastoma underwent MRI including spin-echo echo-planar DWI using 13 b-values ranging from 0 to 1000 s/mm2. Parametric maps for diffusion coefficient (D), pseudodiffusion coefficient (D*), and perfusion fraction (f) were generated for contrast-enhancing regions (CER) and non-enhancing regions (NCER). Regions of interest were manually drawn in regions of maximum f and on the corresponding dynamic susceptibility contrast images. Prognostic factors were evaluated by Kaplan-Meier survival and Cox proportional hazards analyses.
We found that fCER and D*CER correlated with rCBFCER. The best cutoffs for 6-month survival were fCER>9.86% and D*CER>21.712 x10-3mm2/s (100% sensitivity, 71.4% specificity, 100% and 80% positive predictive values, and 80% and 100% negative predictive values; AUC:0.893 and 0.857, respectively). Treatment yielded the highest hazard ratio (5.484; 95% CI: 1.162-25.88; AUC: 0.723; P = 0.031); fCER combined with treatment predicted survival with 100% accuracy.
The IVIM-metrics fCER and D*CER are promising biomarkers of 6-month survival in newly diagnosed glioblastoma.</description><subject>Aged</subject><subject>Analysis</subject><subject>Biological markers</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Biomarkers - metabolism</subject><subject>Biomedical research</subject><subject>Blood</subject><subject>Brain</subject><subject>Brain - diagnostic imaging</subject><subject>Brain - pathology</subject><subject>Brain cancer</subject><subject>Brain Neoplasms - diagnostic imaging</subject><subject>Brain Neoplasms - mortality</subject><subject>Brain research</subject><subject>Brain tumors</subject><subject>Cervell</subject><subject>Diagnosis</subject><subject>Diffusion coefficient</subject><subject>Diffusion Magnetic Resonance Imaging</subject><subject>Female</subject><subject>Gene mapping</subject><subject>Glioblastoma</subject><subject>Glioblastoma - diagnostic imaging</subject><subject>Glioblastoma - mortality</subject><subject>Glioblastomas</subject><subject>Glioma</subject><subject>Gliomas</subject><subject>Gliomes</subject><subject>Hazards</subject><subject>Histology</subject><subject>Humans</subject><subject>Image contrast</subject><subject>Image Processing, Computer-Assisted</subject><subject>Kaplan-Meier Estimate</subject><subject>Magnetic resonance</subject><subject>Magnetic resonance imaging</subject><subject>Male</subject><subject>Medical diagnosis</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Motion</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Observer Variation</subject><subject>Patients</subject><subject>Perfusion</subject><subject>Physical Sciences</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Prospective Studies</subject><subject>Radiation therapy</subject><subject>Radiology</subject><subject>Research and Analysis Methods</subject><subject>Ressonància magnètica</subject><subject>Sensitivity and Specificity</subject><subject>Survival</subject><subject>Treatment 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Josep</au><au>Sánchez-González, Javier</au><au>Blasco, Gerard</au><au>Daunis-I-Estadella, Pepus</au><au>Federau, Christian</au><au>Alberich-Bayarri, Ángel</au><au>Biarnes, Carles</au><au>Nael, Kambiz</au><au>Essig, Marco</au><au>Jain, Rajan</au><au>Wintermark, Max</au><au>Pedraza, Salvador</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-07-07</date><risdate>2016</risdate><volume>11</volume><issue>7</issue><spage>e0158887</spage><epage>e0158887</epage><pages>e0158887-e0158887</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Intravoxel incoherent motion (IVIM) is an MRI technique with potential applications in measuring brain tumor perfusion, but its clinical impact remains to be determined. We assessed the usefulness of IVIM-metrics in predicting survival in newly diagnosed glioblastoma.
Fifteen patients with glioblastoma underwent MRI including spin-echo echo-planar DWI using 13 b-values ranging from 0 to 1000 s/mm2. Parametric maps for diffusion coefficient (D), pseudodiffusion coefficient (D*), and perfusion fraction (f) were generated for contrast-enhancing regions (CER) and non-enhancing regions (NCER). Regions of interest were manually drawn in regions of maximum f and on the corresponding dynamic susceptibility contrast images. Prognostic factors were evaluated by Kaplan-Meier survival and Cox proportional hazards analyses.
We found that fCER and D*CER correlated with rCBFCER. The best cutoffs for 6-month survival were fCER>9.86% and D*CER>21.712 x10-3mm2/s (100% sensitivity, 71.4% specificity, 100% and 80% positive predictive values, and 80% and 100% negative predictive values; AUC:0.893 and 0.857, respectively). Treatment yielded the highest hazard ratio (5.484; 95% CI: 1.162-25.88; AUC: 0.723; P = 0.031); fCER combined with treatment predicted survival with 100% accuracy.
The IVIM-metrics fCER and D*CER are promising biomarkers of 6-month survival in newly diagnosed glioblastoma.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27387822</pmid><doi>10.1371/journal.pone.0158887</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2016-07, Vol.11 (7), p.e0158887-e0158887 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2024267681 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Recercat; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Aged Analysis Biological markers Biology and Life Sciences Biomarkers Biomarkers - metabolism Biomedical research Blood Brain Brain - diagnostic imaging Brain - pathology Brain cancer Brain Neoplasms - diagnostic imaging Brain Neoplasms - mortality Brain research Brain tumors Cervell Diagnosis Diffusion coefficient Diffusion Magnetic Resonance Imaging Female Gene mapping Glioblastoma Glioblastoma - diagnostic imaging Glioblastoma - mortality Glioblastomas Glioma Gliomas Gliomes Hazards Histology Humans Image contrast Image Processing, Computer-Assisted Kaplan-Meier Estimate Magnetic resonance Magnetic resonance imaging Male Medical diagnosis Medicine and Health Sciences Middle Aged Motion NMR Nuclear magnetic resonance Observer Variation Patients Perfusion Physical Sciences Prognosis Proportional Hazards Models Prospective Studies Radiation therapy Radiology Research and Analysis Methods Ressonància magnètica Sensitivity and Specificity Survival Treatment Outcome Tumors |
| title | Intravoxel Incoherent Motion Metrics as Potential Biomarkers for Survival in Glioblastoma |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T22%3A53%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Intravoxel%20Incoherent%20Motion%20Metrics%20as%20Potential%20Biomarkers%20for%20Survival%20in%20Glioblastoma&rft.jtitle=PloS%20one&rft.au=Puig,%20Josep&rft.date=2016-07-07&rft.volume=11&rft.issue=7&rft.spage=e0158887&rft.epage=e0158887&rft.pages=e0158887-e0158887&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0158887&rft_dat=%3Cgale_plos_%3EA457284323%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2024267681&rft_id=info:pmid/27387822&rft_galeid=A457284323&rft_doaj_id=oai_doaj_org_article_879b7ebd9c154e35ac94ecddb96fa0f9&rfr_iscdi=true |