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Apparent diffusion coefficient changes predict survival after intra-arterial bevacizumab treatment in recurrent glioblastoma
Purpose Superselective intra-arterial cerebral infusion (SIACI) of bevacizumab (BV) has emerged as a novel therapy in the treatment of recurrent glioblastoma (GB). This study assessed the use of apparent diffusion coefficient (ADC) in predicting length of survival after SIACI BV and overall survival...
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Published in: | Neuroradiology 2017-05, Vol.59 (5), p.499-505 |
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container_title | Neuroradiology |
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creator | Galla, Naveen Chiang, Gloria Chakraborty, Shamik Singh, Ranjodh John Tsiouris, A. Boockvar, John Kovanlikaya, Ilhami |
description | Purpose
Superselective intra-arterial cerebral infusion (SIACI) of bevacizumab (BV) has emerged as a novel therapy in the treatment of recurrent glioblastoma (GB). This study assessed the use of apparent diffusion coefficient (ADC) in predicting length of survival after SIACI BV and overall survival in patients with recurrent GB.
Methods
Sixty-five patients from a cohort enrolled in a phase I/II trial of SIACI BV for treatment of recurrent GB were retrospectively included in this analysis. MR imaging with a diffusion-weighted (DWI) sequence was performed before and after treatment. ROIs were manually delineated on ADC maps corresponding to the enhancing and non-enhancing portions of the tumor. Cox and logistic regression analyses were performed to determine which ADC values best predicted survival.
Results
The change in minimum ADC in the enhancing portion of the tumor after SIACI BV therapy was associated with an increased risk of death (hazard ratio = 2.0, 95% confidence interval(CI) [1.04–3.79],
p
= 0.038), adjusting for age, tumor size, BV dose, and prior IV BV treatments. Similarly, the change in ADC after SIACI BV therapy was associated with greater likelihood of surviving less than 1 year after therapy (odds ratio = 7.0, 95% CI [1.08–45.7],
p
= 0.04). Having previously received IV BV was associated with increased risk of death (OR 18, 95% CI [1.8–180.0],
p
= 0.014).
Conclusion
In patients with recurrent GB treated with SIACI BV, the change in ADC value after treatment is predictive of overall survival. |
doi_str_mv | 10.1007/s00234-017-1820-4 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1881446958</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1881446958</sourcerecordid><originalsourceid>FETCH-LOGICAL-c372t-f8fb76eabcb73bb6bd14592a86e9b3b1aac917c625559f6b8e9184899f99bc7c3</originalsourceid><addsrcrecordid>eNp1kU1rFTEUhoMo9rb6A7qRgW66ieZrJsmylH5BwY2uw0luUlPmq0nmQsUfb8Z7K0VwlXDOc94T8iB0SslnSoj8kglhXGBCJaaKESzeoA0VnGGqGXmLNrWtMNeCHKHjnB8JIVxy-R4dMcUr1pIN-nUxz5D8WJptDGHJcRobN_kQootr1f2A8cHnZk5-G11p8pJ2cQd9A6H41MSxJMCQ6j3WovU7cPHnMoBtSvJQhjUjjk3ybkl_1jz0cbI95DIN8AG9C9Bn__FwnqDv11ffLm_x_debu8uLe-y4ZAUHFazsPFhnJbe2s1sqWs1AdV5bbimA01S6jrVtq0NnlddUCaV10No66fgJOt_nzml6WnwuZojZ-b6H0U9LNlQpKkSnW1XRs3_Qx2lJY33dSmlOOsbbStE95dKUc_LBzCkOkJ4NJWZVY_ZqTFVjVjVG1JlPh-TFDn77d-LFRQXYHsi1VT89vVr939TfdXWcTA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1889306235</pqid></control><display><type>article</type><title>Apparent diffusion coefficient changes predict survival after intra-arterial bevacizumab treatment in recurrent glioblastoma</title><source>Springer Link</source><creator>Galla, Naveen ; Chiang, Gloria ; Chakraborty, Shamik ; Singh, Ranjodh ; John Tsiouris, A. ; Boockvar, John ; Kovanlikaya, Ilhami</creator><creatorcontrib>Galla, Naveen ; Chiang, Gloria ; Chakraborty, Shamik ; Singh, Ranjodh ; John Tsiouris, A. ; Boockvar, John ; Kovanlikaya, Ilhami</creatorcontrib><description>Purpose
Superselective intra-arterial cerebral infusion (SIACI) of bevacizumab (BV) has emerged as a novel therapy in the treatment of recurrent glioblastoma (GB). This study assessed the use of apparent diffusion coefficient (ADC) in predicting length of survival after SIACI BV and overall survival in patients with recurrent GB.
Methods
Sixty-five patients from a cohort enrolled in a phase I/II trial of SIACI BV for treatment of recurrent GB were retrospectively included in this analysis. MR imaging with a diffusion-weighted (DWI) sequence was performed before and after treatment. ROIs were manually delineated on ADC maps corresponding to the enhancing and non-enhancing portions of the tumor. Cox and logistic regression analyses were performed to determine which ADC values best predicted survival.
Results
The change in minimum ADC in the enhancing portion of the tumor after SIACI BV therapy was associated with an increased risk of death (hazard ratio = 2.0, 95% confidence interval(CI) [1.04–3.79],
p
= 0.038), adjusting for age, tumor size, BV dose, and prior IV BV treatments. Similarly, the change in ADC after SIACI BV therapy was associated with greater likelihood of surviving less than 1 year after therapy (odds ratio = 7.0, 95% CI [1.08–45.7],
p
= 0.04). Having previously received IV BV was associated with increased risk of death (OR 18, 95% CI [1.8–180.0],
p
= 0.014).
Conclusion
In patients with recurrent GB treated with SIACI BV, the change in ADC value after treatment is predictive of overall survival.</description><identifier>ISSN: 0028-3940</identifier><identifier>EISSN: 1432-1920</identifier><identifier>DOI: 10.1007/s00234-017-1820-4</identifier><identifier>PMID: 28343250</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Angiogenesis Inhibitors - administration & dosage ; Angiogenesis Inhibitors - therapeutic use ; Bevacizumab - administration & dosage ; Bevacizumab - therapeutic use ; Brain cancer ; Brain Neoplasms - diagnostic imaging ; Brain Neoplasms - drug therapy ; Brain Neoplasms - pathology ; Chemotherapy ; Clinical outcomes ; Contrast Media ; Diagnostic Neuroradiology ; Diffusion Magnetic Resonance Imaging - methods ; Female ; Glioblastoma - diagnostic imaging ; Glioblastoma - drug therapy ; Glioblastoma - pathology ; Humans ; Imaging ; Infusions, Intra-Arterial ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Neoplasm Recurrence, Local - diagnostic imaging ; Neoplasm Recurrence, Local - drug therapy ; Neoplasm Recurrence, Local - pathology ; Neurology ; Neuroradiology ; Neurosciences ; Neurosurgery ; Prognosis ; Radiology ; Retrospective Studies ; Survival analysis ; Survival Rate</subject><ispartof>Neuroradiology, 2017-05, Vol.59 (5), p.499-505</ispartof><rights>Springer-Verlag Berlin Heidelberg 2017</rights><rights>Neuroradiology is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-f8fb76eabcb73bb6bd14592a86e9b3b1aac917c625559f6b8e9184899f99bc7c3</citedby><cites>FETCH-LOGICAL-c372t-f8fb76eabcb73bb6bd14592a86e9b3b1aac917c625559f6b8e9184899f99bc7c3</cites><orcidid>0000-0002-9341-3079</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28343250$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Galla, Naveen</creatorcontrib><creatorcontrib>Chiang, Gloria</creatorcontrib><creatorcontrib>Chakraborty, Shamik</creatorcontrib><creatorcontrib>Singh, Ranjodh</creatorcontrib><creatorcontrib>John Tsiouris, A.</creatorcontrib><creatorcontrib>Boockvar, John</creatorcontrib><creatorcontrib>Kovanlikaya, Ilhami</creatorcontrib><title>Apparent diffusion coefficient changes predict survival after intra-arterial bevacizumab treatment in recurrent glioblastoma</title><title>Neuroradiology</title><addtitle>Neuroradiology</addtitle><addtitle>Neuroradiology</addtitle><description>Purpose
Superselective intra-arterial cerebral infusion (SIACI) of bevacizumab (BV) has emerged as a novel therapy in the treatment of recurrent glioblastoma (GB). This study assessed the use of apparent diffusion coefficient (ADC) in predicting length of survival after SIACI BV and overall survival in patients with recurrent GB.
Methods
Sixty-five patients from a cohort enrolled in a phase I/II trial of SIACI BV for treatment of recurrent GB were retrospectively included in this analysis. MR imaging with a diffusion-weighted (DWI) sequence was performed before and after treatment. ROIs were manually delineated on ADC maps corresponding to the enhancing and non-enhancing portions of the tumor. Cox and logistic regression analyses were performed to determine which ADC values best predicted survival.
Results
The change in minimum ADC in the enhancing portion of the tumor after SIACI BV therapy was associated with an increased risk of death (hazard ratio = 2.0, 95% confidence interval(CI) [1.04–3.79],
p
= 0.038), adjusting for age, tumor size, BV dose, and prior IV BV treatments. Similarly, the change in ADC after SIACI BV therapy was associated with greater likelihood of surviving less than 1 year after therapy (odds ratio = 7.0, 95% CI [1.08–45.7],
p
= 0.04). Having previously received IV BV was associated with increased risk of death (OR 18, 95% CI [1.8–180.0],
p
= 0.014).
Conclusion
In patients with recurrent GB treated with SIACI BV, the change in ADC value after treatment is predictive of overall survival.</description><subject>Angiogenesis Inhibitors - administration & dosage</subject><subject>Angiogenesis Inhibitors - therapeutic use</subject><subject>Bevacizumab - administration & dosage</subject><subject>Bevacizumab - therapeutic use</subject><subject>Brain cancer</subject><subject>Brain Neoplasms - diagnostic imaging</subject><subject>Brain Neoplasms - drug therapy</subject><subject>Brain Neoplasms - pathology</subject><subject>Chemotherapy</subject><subject>Clinical outcomes</subject><subject>Contrast Media</subject><subject>Diagnostic Neuroradiology</subject><subject>Diffusion Magnetic Resonance Imaging - methods</subject><subject>Female</subject><subject>Glioblastoma - diagnostic imaging</subject><subject>Glioblastoma - drug therapy</subject><subject>Glioblastoma - pathology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Infusions, Intra-Arterial</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Neoplasm Recurrence, Local - diagnostic imaging</subject><subject>Neoplasm Recurrence, Local - drug therapy</subject><subject>Neoplasm Recurrence, Local - pathology</subject><subject>Neurology</subject><subject>Neuroradiology</subject><subject>Neurosciences</subject><subject>Neurosurgery</subject><subject>Prognosis</subject><subject>Radiology</subject><subject>Retrospective Studies</subject><subject>Survival analysis</subject><subject>Survival Rate</subject><issn>0028-3940</issn><issn>1432-1920</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kU1rFTEUhoMo9rb6A7qRgW66ieZrJsmylH5BwY2uw0luUlPmq0nmQsUfb8Z7K0VwlXDOc94T8iB0SslnSoj8kglhXGBCJaaKESzeoA0VnGGqGXmLNrWtMNeCHKHjnB8JIVxy-R4dMcUr1pIN-nUxz5D8WJptDGHJcRobN_kQootr1f2A8cHnZk5-G11p8pJ2cQd9A6H41MSxJMCQ6j3WovU7cPHnMoBtSvJQhjUjjk3ybkl_1jz0cbI95DIN8AG9C9Bn__FwnqDv11ffLm_x_debu8uLe-y4ZAUHFazsPFhnJbe2s1sqWs1AdV5bbimA01S6jrVtq0NnlddUCaV10No66fgJOt_nzml6WnwuZojZ-b6H0U9LNlQpKkSnW1XRs3_Qx2lJY33dSmlOOsbbStE95dKUc_LBzCkOkJ4NJWZVY_ZqTFVjVjVG1JlPh-TFDn77d-LFRQXYHsi1VT89vVr939TfdXWcTA</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Galla, Naveen</creator><creator>Chiang, Gloria</creator><creator>Chakraborty, Shamik</creator><creator>Singh, Ranjodh</creator><creator>John Tsiouris, A.</creator><creator>Boockvar, John</creator><creator>Kovanlikaya, Ilhami</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</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>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7TK</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9341-3079</orcidid></search><sort><creationdate>20170501</creationdate><title>Apparent diffusion coefficient changes predict survival after intra-arterial bevacizumab treatment in recurrent glioblastoma</title><author>Galla, Naveen ; Chiang, Gloria ; Chakraborty, Shamik ; Singh, Ranjodh ; John Tsiouris, A. ; Boockvar, John ; Kovanlikaya, Ilhami</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-f8fb76eabcb73bb6bd14592a86e9b3b1aac917c625559f6b8e9184899f99bc7c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Angiogenesis Inhibitors - administration & dosage</topic><topic>Angiogenesis Inhibitors - therapeutic use</topic><topic>Bevacizumab - administration & dosage</topic><topic>Bevacizumab - therapeutic use</topic><topic>Brain cancer</topic><topic>Brain Neoplasms - diagnostic imaging</topic><topic>Brain Neoplasms - drug therapy</topic><topic>Brain Neoplasms - pathology</topic><topic>Chemotherapy</topic><topic>Clinical outcomes</topic><topic>Contrast Media</topic><topic>Diagnostic Neuroradiology</topic><topic>Diffusion Magnetic Resonance Imaging - methods</topic><topic>Female</topic><topic>Glioblastoma - diagnostic imaging</topic><topic>Glioblastoma - drug therapy</topic><topic>Glioblastoma - pathology</topic><topic>Humans</topic><topic>Imaging</topic><topic>Infusions, Intra-Arterial</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Neoplasm Recurrence, Local - diagnostic imaging</topic><topic>Neoplasm Recurrence, Local - drug therapy</topic><topic>Neoplasm Recurrence, Local - pathology</topic><topic>Neurology</topic><topic>Neuroradiology</topic><topic>Neurosciences</topic><topic>Neurosurgery</topic><topic>Prognosis</topic><topic>Radiology</topic><topic>Retrospective Studies</topic><topic>Survival analysis</topic><topic>Survival Rate</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Galla, Naveen</creatorcontrib><creatorcontrib>Chiang, Gloria</creatorcontrib><creatorcontrib>Chakraborty, Shamik</creatorcontrib><creatorcontrib>Singh, Ranjodh</creatorcontrib><creatorcontrib>John Tsiouris, A.</creatorcontrib><creatorcontrib>Boockvar, John</creatorcontrib><creatorcontrib>Kovanlikaya, Ilhami</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering 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>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Neuroradiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Galla, Naveen</au><au>Chiang, Gloria</au><au>Chakraborty, Shamik</au><au>Singh, Ranjodh</au><au>John Tsiouris, A.</au><au>Boockvar, John</au><au>Kovanlikaya, Ilhami</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Apparent diffusion coefficient changes predict survival after intra-arterial bevacizumab treatment in recurrent glioblastoma</atitle><jtitle>Neuroradiology</jtitle><stitle>Neuroradiology</stitle><addtitle>Neuroradiology</addtitle><date>2017-05-01</date><risdate>2017</risdate><volume>59</volume><issue>5</issue><spage>499</spage><epage>505</epage><pages>499-505</pages><issn>0028-3940</issn><eissn>1432-1920</eissn><abstract>Purpose
Superselective intra-arterial cerebral infusion (SIACI) of bevacizumab (BV) has emerged as a novel therapy in the treatment of recurrent glioblastoma (GB). This study assessed the use of apparent diffusion coefficient (ADC) in predicting length of survival after SIACI BV and overall survival in patients with recurrent GB.
Methods
Sixty-five patients from a cohort enrolled in a phase I/II trial of SIACI BV for treatment of recurrent GB were retrospectively included in this analysis. MR imaging with a diffusion-weighted (DWI) sequence was performed before and after treatment. ROIs were manually delineated on ADC maps corresponding to the enhancing and non-enhancing portions of the tumor. Cox and logistic regression analyses were performed to determine which ADC values best predicted survival.
Results
The change in minimum ADC in the enhancing portion of the tumor after SIACI BV therapy was associated with an increased risk of death (hazard ratio = 2.0, 95% confidence interval(CI) [1.04–3.79],
p
= 0.038), adjusting for age, tumor size, BV dose, and prior IV BV treatments. Similarly, the change in ADC after SIACI BV therapy was associated with greater likelihood of surviving less than 1 year after therapy (odds ratio = 7.0, 95% CI [1.08–45.7],
p
= 0.04). Having previously received IV BV was associated with increased risk of death (OR 18, 95% CI [1.8–180.0],
p
= 0.014).
Conclusion
In patients with recurrent GB treated with SIACI BV, the change in ADC value after treatment is predictive of overall survival.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>28343250</pmid><doi>10.1007/s00234-017-1820-4</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-9341-3079</orcidid></addata></record> |
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language | eng |
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source | Springer Link |
subjects | Angiogenesis Inhibitors - administration & dosage Angiogenesis Inhibitors - therapeutic use Bevacizumab - administration & dosage Bevacizumab - therapeutic use Brain cancer Brain Neoplasms - diagnostic imaging Brain Neoplasms - drug therapy Brain Neoplasms - pathology Chemotherapy Clinical outcomes Contrast Media Diagnostic Neuroradiology Diffusion Magnetic Resonance Imaging - methods Female Glioblastoma - diagnostic imaging Glioblastoma - drug therapy Glioblastoma - pathology Humans Imaging Infusions, Intra-Arterial Male Medicine Medicine & Public Health Middle Aged Neoplasm Recurrence, Local - diagnostic imaging Neoplasm Recurrence, Local - drug therapy Neoplasm Recurrence, Local - pathology Neurology Neuroradiology Neurosciences Neurosurgery Prognosis Radiology Retrospective Studies Survival analysis Survival Rate |
title | Apparent diffusion coefficient changes predict survival after intra-arterial bevacizumab treatment in recurrent glioblastoma |
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