Detectability of radiation-induced changes in magnetic resonance biomarkers following stereotactic radiosurgery: A pilot study
Our objective was to investigate direct voxel-wise relationship between dose and early MR biomarker changes both within and in the high-dose region surrounding brain metastases following stereotactic radiosurgery (SRS). Specifically, we examined the apparent diffusion coefficient (ADC) from diffusio...
Gespeichert in:
| Veröffentlicht in: | PloS one 2018-11, Vol.13 (11), p.e0207933-e0207933 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0207933 |
|---|---|
| container_issue | 11 |
| container_start_page | e0207933 |
| container_title | PloS one |
| container_volume | 13 |
| creator | Winter, Jeff D Moraes, Fabio Y Chung, Caroline Coolens, Catherine |
| description | Our objective was to investigate direct voxel-wise relationship between dose and early MR biomarker changes both within and in the high-dose region surrounding brain metastases following stereotactic radiosurgery (SRS). Specifically, we examined the apparent diffusion coefficient (ADC) from diffusion-weighted imaging and the contrast transfer coefficient (Ktrans) and volume of extracellular extravascular space (ve) derived from dynamic contrast-enhanced (DCE) MRI data. We investigated 29 brain metastases in 18 patients using 3 T MRI to collect imaging data at day 0, day 3 and day 20 following SRS. The ADC maps were generated by the scanner and Ktrans and ve maps were generated using in-house software for dynamic tracer-kinetic analysis. To enable spatially-correlated voxel-wise analysis, we developed a registration pipeline to register all ADC, Ktrans and ve maps to the planning MRI scan. To interrogate longitudinal changes, we computed absolute ΔADC, ΔKtrans and Δve for day 3 and 20 post-SRS relative to day 0. We performed a Kruskall-Wallice test on each biomarker between time points and investigated dose correlations within the gross tumour volume (GTV) and surrounding high dose region > 12 Gy via Spearman's rho. Only ve exhibited significant differences between day 0 and 20 (p < 0.005) and day 3 and 20 (p < 0.05) within the GTV following SRS. Strongest dose correlations were observed for ADC within the GTV (rho = 0.17 to 0.20) and weak correlations were observed for ADC and Ktrans in the surrounding > 12 Gy region. Both ΔKtrans and Δve showed a trend with dose at day 20 within the GTV and > 12 Gy region (rho = -0.04 to -0.16). Weak dose-related decreases in Ktrans and ve within the GTV and high dose region at day 20 most likely reflect underlying vascular responses to radiation. Our study also provides a voxel-wise analysis schema for future MR biomarker studies with the goal of elucidating surrogates for radionecrosis. |
| doi_str_mv | 10.1371/journal.pone.0207933 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2138067065</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A563421913</galeid><doaj_id>oai_doaj_org_article_181a5d02d1984bfd9f42027c543051fa</doaj_id><sourcerecordid>A563421913</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-f6050c7444c6741dab09dc5ec2dcccfe04e8924491ab23c4dfa0f9c9e22e5da83</originalsourceid><addsrcrecordid>eNqNk1uLEzEUxwdR3LX6DUQHBNGH1tzm5oNQ1lthYcHba0iTk2nWNKlJRu2Ln910O7u0sg-Sh4Tkd_4n51YUjzGaYdrgV5d-CE7Y2cY7mCGCmo7SO8Up7iiZ1gTRuwfnk-JBjJcIVbSt6_vFCUWsqdq2OS3-vIUEMomlsSZtS6_LIJQRyXg3NU4NElQpV8L1EEvjyrXoHSQjywDRO-EklEvj1yJ8hxBL7a31v4zry5gggE9CXrFZ0cch9BC2r8t5uTHWp4wMavuwuKeFjfBo3CfF1_fvvpx9nJ5ffFiczc-nsu5ImuoaVUg2jDFZNwwrsUSdkhVIoqSUGhCDtiOMdVgsCZVMaYF0JzsgBColWjopnu51N9ZHPqYucoJpi-oG1VUmFntCeXHJN8HkoLbcC8OvLnzouQg5Ggsct1hUChGFu5Ytteo0I4g0smIUVViLrPVm9DYs16AkuBSEPRI9fnFmxXv_k9ekanGu2qR4MQoE_2OAmPjaRAnWCgd-2P-7ZjVrd_9-9g96e3Qj1YscgHHaZ79yJ8rnVU0ZwR2mmZrdQuWlYG1k7jNt8v2Rwcsjg8wk-J16McTIF58__T978e2YfX7ArkDYtIreDru2jMcg24My-BgD6JskY8R3Y3KdDb4bEz6OSTZ7cligG6PruaB_AbwZD9k</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2138067065</pqid></control><display><type>article</type><title>Detectability of radiation-induced changes in magnetic resonance biomarkers following stereotactic radiosurgery: A pilot study</title><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Winter, Jeff D ; Moraes, Fabio Y ; Chung, Caroline ; Coolens, Catherine</creator><contributor>Zhang, Qinghui</contributor><creatorcontrib>Winter, Jeff D ; Moraes, Fabio Y ; Chung, Caroline ; Coolens, Catherine ; Zhang, Qinghui</creatorcontrib><description>Our objective was to investigate direct voxel-wise relationship between dose and early MR biomarker changes both within and in the high-dose region surrounding brain metastases following stereotactic radiosurgery (SRS). Specifically, we examined the apparent diffusion coefficient (ADC) from diffusion-weighted imaging and the contrast transfer coefficient (Ktrans) and volume of extracellular extravascular space (ve) derived from dynamic contrast-enhanced (DCE) MRI data. We investigated 29 brain metastases in 18 patients using 3 T MRI to collect imaging data at day 0, day 3 and day 20 following SRS. The ADC maps were generated by the scanner and Ktrans and ve maps were generated using in-house software for dynamic tracer-kinetic analysis. To enable spatially-correlated voxel-wise analysis, we developed a registration pipeline to register all ADC, Ktrans and ve maps to the planning MRI scan. To interrogate longitudinal changes, we computed absolute ΔADC, ΔKtrans and Δve for day 3 and 20 post-SRS relative to day 0. We performed a Kruskall-Wallice test on each biomarker between time points and investigated dose correlations within the gross tumour volume (GTV) and surrounding high dose region > 12 Gy via Spearman's rho. Only ve exhibited significant differences between day 0 and 20 (p < 0.005) and day 3 and 20 (p < 0.05) within the GTV following SRS. Strongest dose correlations were observed for ADC within the GTV (rho = 0.17 to 0.20) and weak correlations were observed for ADC and Ktrans in the surrounding > 12 Gy region. Both ΔKtrans and Δve showed a trend with dose at day 20 within the GTV and > 12 Gy region (rho = -0.04 to -0.16). Weak dose-related decreases in Ktrans and ve within the GTV and high dose region at day 20 most likely reflect underlying vascular responses to radiation. Our study also provides a voxel-wise analysis schema for future MR biomarker studies with the goal of elucidating surrogates for radionecrosis.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0207933</identifier><identifier>PMID: 30475887</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Bioindicators ; Biological markers ; Biology and Life Sciences ; Biomarkers ; Brain ; Brain cancer ; Brain research ; Cancer metastasis ; Cancer therapies ; Change detection ; Complications and side effects ; Correlation ; Correlation analysis ; Diagnostic imaging ; Diffusion ; Diffusion coefficient ; Drug dosages ; Edema ; Health care networks ; Magnetic resonance ; Magnetic resonance imaging ; Medical imaging ; Medical research ; Medicine and Health Sciences ; Metastases ; Metastasis ; Neuroimaging ; Osteonecrosis ; Patients ; Physiology ; Radiation ; Radiation (Physics) ; Radiation effects ; Radiation therapy ; Radiology ; Radiosurgery ; Radiotherapy ; Research and Analysis Methods ; Risk factors ; Studies ; Surgery ; Tracers (Biology) ; Tumors</subject><ispartof>PloS one, 2018-11, Vol.13 (11), p.e0207933-e0207933</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Winter 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>2018 Winter et al 2018 Winter et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-f6050c7444c6741dab09dc5ec2dcccfe04e8924491ab23c4dfa0f9c9e22e5da83</citedby><cites>FETCH-LOGICAL-c692t-f6050c7444c6741dab09dc5ec2dcccfe04e8924491ab23c4dfa0f9c9e22e5da83</cites><orcidid>0000-0003-0873-0254</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258119/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258119/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30475887$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Zhang, Qinghui</contributor><creatorcontrib>Winter, Jeff D</creatorcontrib><creatorcontrib>Moraes, Fabio Y</creatorcontrib><creatorcontrib>Chung, Caroline</creatorcontrib><creatorcontrib>Coolens, Catherine</creatorcontrib><title>Detectability of radiation-induced changes in magnetic resonance biomarkers following stereotactic radiosurgery: A pilot study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Our objective was to investigate direct voxel-wise relationship between dose and early MR biomarker changes both within and in the high-dose region surrounding brain metastases following stereotactic radiosurgery (SRS). Specifically, we examined the apparent diffusion coefficient (ADC) from diffusion-weighted imaging and the contrast transfer coefficient (Ktrans) and volume of extracellular extravascular space (ve) derived from dynamic contrast-enhanced (DCE) MRI data. We investigated 29 brain metastases in 18 patients using 3 T MRI to collect imaging data at day 0, day 3 and day 20 following SRS. The ADC maps were generated by the scanner and Ktrans and ve maps were generated using in-house software for dynamic tracer-kinetic analysis. To enable spatially-correlated voxel-wise analysis, we developed a registration pipeline to register all ADC, Ktrans and ve maps to the planning MRI scan. To interrogate longitudinal changes, we computed absolute ΔADC, ΔKtrans and Δve for day 3 and 20 post-SRS relative to day 0. We performed a Kruskall-Wallice test on each biomarker between time points and investigated dose correlations within the gross tumour volume (GTV) and surrounding high dose region > 12 Gy via Spearman's rho. Only ve exhibited significant differences between day 0 and 20 (p < 0.005) and day 3 and 20 (p < 0.05) within the GTV following SRS. Strongest dose correlations were observed for ADC within the GTV (rho = 0.17 to 0.20) and weak correlations were observed for ADC and Ktrans in the surrounding > 12 Gy region. Both ΔKtrans and Δve showed a trend with dose at day 20 within the GTV and > 12 Gy region (rho = -0.04 to -0.16). Weak dose-related decreases in Ktrans and ve within the GTV and high dose region at day 20 most likely reflect underlying vascular responses to radiation. Our study also provides a voxel-wise analysis schema for future MR biomarker studies with the goal of elucidating surrogates for radionecrosis.</description><subject>Bioindicators</subject><subject>Biological markers</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Brain</subject><subject>Brain cancer</subject><subject>Brain research</subject><subject>Cancer metastasis</subject><subject>Cancer therapies</subject><subject>Change detection</subject><subject>Complications and side effects</subject><subject>Correlation</subject><subject>Correlation analysis</subject><subject>Diagnostic imaging</subject><subject>Diffusion</subject><subject>Diffusion coefficient</subject><subject>Drug dosages</subject><subject>Edema</subject><subject>Health care networks</subject><subject>Magnetic resonance</subject><subject>Magnetic resonance imaging</subject><subject>Medical imaging</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Neuroimaging</subject><subject>Osteonecrosis</subject><subject>Patients</subject><subject>Physiology</subject><subject>Radiation</subject><subject>Radiation (Physics)</subject><subject>Radiation effects</subject><subject>Radiation therapy</subject><subject>Radiology</subject><subject>Radiosurgery</subject><subject>Radiotherapy</subject><subject>Research and Analysis Methods</subject><subject>Risk factors</subject><subject>Studies</subject><subject>Surgery</subject><subject>Tracers (Biology)</subject><subject>Tumors</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</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><sourceid>DOA</sourceid><recordid>eNqNk1uLEzEUxwdR3LX6DUQHBNGH1tzm5oNQ1lthYcHba0iTk2nWNKlJRu2Ln910O7u0sg-Sh4Tkd_4n51YUjzGaYdrgV5d-CE7Y2cY7mCGCmo7SO8Up7iiZ1gTRuwfnk-JBjJcIVbSt6_vFCUWsqdq2OS3-vIUEMomlsSZtS6_LIJQRyXg3NU4NElQpV8L1EEvjyrXoHSQjywDRO-EklEvj1yJ8hxBL7a31v4zry5gggE9CXrFZ0cch9BC2r8t5uTHWp4wMavuwuKeFjfBo3CfF1_fvvpx9nJ5ffFiczc-nsu5ImuoaVUg2jDFZNwwrsUSdkhVIoqSUGhCDtiOMdVgsCZVMaYF0JzsgBColWjopnu51N9ZHPqYucoJpi-oG1VUmFntCeXHJN8HkoLbcC8OvLnzouQg5Ggsct1hUChGFu5Ytteo0I4g0smIUVViLrPVm9DYs16AkuBSEPRI9fnFmxXv_k9ekanGu2qR4MQoE_2OAmPjaRAnWCgd-2P-7ZjVrd_9-9g96e3Qj1YscgHHaZ79yJ8rnVU0ZwR2mmZrdQuWlYG1k7jNt8v2Rwcsjg8wk-J16McTIF58__T978e2YfX7ArkDYtIreDru2jMcg24My-BgD6JskY8R3Y3KdDb4bEz6OSTZ7cligG6PruaB_AbwZD9k</recordid><startdate>20181126</startdate><enddate>20181126</enddate><creator>Winter, Jeff D</creator><creator>Moraes, Fabio Y</creator><creator>Chung, Caroline</creator><creator>Coolens, Catherine</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-0873-0254</orcidid></search><sort><creationdate>20181126</creationdate><title>Detectability of radiation-induced changes in magnetic resonance biomarkers following stereotactic radiosurgery: A pilot study</title><author>Winter, Jeff D ; Moraes, Fabio Y ; Chung, Caroline ; Coolens, Catherine</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-f6050c7444c6741dab09dc5ec2dcccfe04e8924491ab23c4dfa0f9c9e22e5da83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Bioindicators</topic><topic>Biological markers</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Brain</topic><topic>Brain cancer</topic><topic>Brain research</topic><topic>Cancer metastasis</topic><topic>Cancer therapies</topic><topic>Change detection</topic><topic>Complications and side effects</topic><topic>Correlation</topic><topic>Correlation analysis</topic><topic>Diagnostic imaging</topic><topic>Diffusion</topic><topic>Diffusion coefficient</topic><topic>Drug dosages</topic><topic>Edema</topic><topic>Health care networks</topic><topic>Magnetic resonance</topic><topic>Magnetic resonance imaging</topic><topic>Medical imaging</topic><topic>Medical research</topic><topic>Medicine and Health Sciences</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>Neuroimaging</topic><topic>Osteonecrosis</topic><topic>Patients</topic><topic>Physiology</topic><topic>Radiation</topic><topic>Radiation (Physics)</topic><topic>Radiation effects</topic><topic>Radiation therapy</topic><topic>Radiology</topic><topic>Radiosurgery</topic><topic>Radiotherapy</topic><topic>Research and Analysis Methods</topic><topic>Risk factors</topic><topic>Studies</topic><topic>Surgery</topic><topic>Tracers (Biology)</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Winter, Jeff D</creatorcontrib><creatorcontrib>Moraes, Fabio Y</creatorcontrib><creatorcontrib>Chung, Caroline</creatorcontrib><creatorcontrib>Coolens, Catherine</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</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>Public Health Database</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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science 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 Materials Science Collection</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>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</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>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Access via ProQuest (Open Access)</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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Winter, Jeff D</au><au>Moraes, Fabio Y</au><au>Chung, Caroline</au><au>Coolens, Catherine</au><au>Zhang, Qinghui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detectability of radiation-induced changes in magnetic resonance biomarkers following stereotactic radiosurgery: A pilot study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-11-26</date><risdate>2018</risdate><volume>13</volume><issue>11</issue><spage>e0207933</spage><epage>e0207933</epage><pages>e0207933-e0207933</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Our objective was to investigate direct voxel-wise relationship between dose and early MR biomarker changes both within and in the high-dose region surrounding brain metastases following stereotactic radiosurgery (SRS). Specifically, we examined the apparent diffusion coefficient (ADC) from diffusion-weighted imaging and the contrast transfer coefficient (Ktrans) and volume of extracellular extravascular space (ve) derived from dynamic contrast-enhanced (DCE) MRI data. We investigated 29 brain metastases in 18 patients using 3 T MRI to collect imaging data at day 0, day 3 and day 20 following SRS. The ADC maps were generated by the scanner and Ktrans and ve maps were generated using in-house software for dynamic tracer-kinetic analysis. To enable spatially-correlated voxel-wise analysis, we developed a registration pipeline to register all ADC, Ktrans and ve maps to the planning MRI scan. To interrogate longitudinal changes, we computed absolute ΔADC, ΔKtrans and Δve for day 3 and 20 post-SRS relative to day 0. We performed a Kruskall-Wallice test on each biomarker between time points and investigated dose correlations within the gross tumour volume (GTV) and surrounding high dose region > 12 Gy via Spearman's rho. Only ve exhibited significant differences between day 0 and 20 (p < 0.005) and day 3 and 20 (p < 0.05) within the GTV following SRS. Strongest dose correlations were observed for ADC within the GTV (rho = 0.17 to 0.20) and weak correlations were observed for ADC and Ktrans in the surrounding > 12 Gy region. Both ΔKtrans and Δve showed a trend with dose at day 20 within the GTV and > 12 Gy region (rho = -0.04 to -0.16). Weak dose-related decreases in Ktrans and ve within the GTV and high dose region at day 20 most likely reflect underlying vascular responses to radiation. Our study also provides a voxel-wise analysis schema for future MR biomarker studies with the goal of elucidating surrogates for radionecrosis.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30475887</pmid><doi>10.1371/journal.pone.0207933</doi><tpages>e0207933</tpages><orcidid>https://orcid.org/0000-0003-0873-0254</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2018-11, Vol.13 (11), p.e0207933-e0207933 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2138067065 |
| source | DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Bioindicators Biological markers Biology and Life Sciences Biomarkers Brain Brain cancer Brain research Cancer metastasis Cancer therapies Change detection Complications and side effects Correlation Correlation analysis Diagnostic imaging Diffusion Diffusion coefficient Drug dosages Edema Health care networks Magnetic resonance Magnetic resonance imaging Medical imaging Medical research Medicine and Health Sciences Metastases Metastasis Neuroimaging Osteonecrosis Patients Physiology Radiation Radiation (Physics) Radiation effects Radiation therapy Radiology Radiosurgery Radiotherapy Research and Analysis Methods Risk factors Studies Surgery Tracers (Biology) Tumors |
| title | Detectability of radiation-induced changes in magnetic resonance biomarkers following stereotactic radiosurgery: A pilot study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T18%3A44%3A29IST&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=Detectability%20of%20radiation-induced%20changes%20in%20magnetic%20resonance%20biomarkers%20following%20stereotactic%20radiosurgery:%20A%20pilot%20study&rft.jtitle=PloS%20one&rft.au=Winter,%20Jeff%20D&rft.date=2018-11-26&rft.volume=13&rft.issue=11&rft.spage=e0207933&rft.epage=e0207933&rft.pages=e0207933-e0207933&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0207933&rft_dat=%3Cgale_plos_%3EA563421913%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=2138067065&rft_id=info:pmid/30475887&rft_galeid=A563421913&rft_doaj_id=oai_doaj_org_article_181a5d02d1984bfd9f42027c543051fa&rfr_iscdi=true |