SU-F-T-118: Characterization of Change in Fractional Anisotropy After Radiation Therapy: Does Nearby Disruption Predict for White Matter Damage?
Purpose: We investigated predictors of fractional anisotropy (FA) change in the corticospinal white matter tract (CST) following radiation therapy (RT). Methods: Diffusion tensor imaging (DTI) is a non-invasive modality which models water diffusion properties. FA quantifies the extent of directional...
Gespeichert in:
| Veröffentlicht in: | Medical physics (Lancaster) 2016-06, Vol.43 (6), p.3488-3489 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 3489 |
|---|---|
| container_issue | 6 |
| container_start_page | 3488 |
| container_title | Medical physics (Lancaster) |
| container_volume | 43 |
| creator | Pettersson, N Karunamuni, R Connor, M Moiseenko, V Dale, A Bartsch, H Brewer, J Krishnan, A Kuperman, J Hagler, D McDonald, C Farid, N White, N Hattangadi-Gluth, J Cervino, L |
| description | Purpose:
We investigated predictors of fractional anisotropy (FA) change in the corticospinal white matter tract (CST) following radiation therapy (RT).
Methods:
Diffusion tensor imaging (DTI) is a non-invasive modality which models water diffusion properties. FA quantifies the extent of directional bias—a decrease indicates disrupted white matter integrity. Fifteen patients with high-grade glioma underwent DTI scans before, and ten months after RT to 59.4–60 Gy. The CST was segmented using an automated atlas-based algorithm on all DTI images. Treatment planning CT and DTI images were aligned using non-linear registration allowing for baseline FA, follow-up FA, and absorbed dose to be determined in each voxel. Relative FA change was dichotomized into a binary outcome using 25% decrease as cutoff. Three metrics were assessed as predictors: voxel dose, distance from the voxel to the center of the CST (Rc), and the number of neighboring voxels (Nadj from 0 to 26) with ≥25% decrease in FA. Logistic regression and the area under the receiver-operating characteristics curve (AUC) analysis were performed for each patient.
Results:
Median age of the cohort was 59 years (range: 40–85). The average number of voxels in the CST amongst all patients was 1181 (±172, SD). In logistic regression, the probability of FA change was highly associated with Nadj in all 15 patients with corresponding AUCs between 0.81 and 0.97. With all three metrics included in the logistic regression models, Nadj was highly significant (p |
| doi_str_mv | 10.1118/1.4956254 |
| format | Article |
| fullrecord | <record><control><sourceid>wiley_osti_</sourceid><recordid>TN_cdi_osti_scitechconnect_22642360</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>MP6254</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1354-dff6e54e9811421dcb2d27b78e7783e81201b14b872709714fe03cde60a3b8263</originalsourceid><addsrcrecordid>eNp9kF9LwzAUxYMoOKcPfoOATwqZSZr-24uMzamw6dANH0ua3q6RrRlJReqn8CPbrnvVpwvn_s65l4PQJaMDxlh0ywYi9gPuiyPU4yL0iOA0PkY9SmNBuKD-KTpz7oNSGng-7aGftxWZkiVpvEM8LqSVqgKrv2WlTYlN3mrlGrAu8bTdNarc4FGpnams2dV4lDc8fpWZ7izLAqzc1UM8MeDwM0ib1niinf3c7fcLC5lWFc6Nxe-FrgDPZdVGTORWruHuHJ3kcuPg4jD7aDW9X44fyezl4Wk8mhHFPF-QLM8D8AXEEWOCs0ylPONhGkYQhpEHEeOUpUykUchDGodM5EA9lUFApZdGPPD66KrLNa7SiVPNJ6pQpixBVQnngeBeQBvquqOUNc5ZyJOd1Vtp64TRpC08Ycmh8IYlHfulN1D_DSbzxYG_6fj2-L68f8J_AXSqjJU</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>SU-F-T-118: Characterization of Change in Fractional Anisotropy After Radiation Therapy: Does Nearby Disruption Predict for White Matter Damage?</title><source>Wiley Online Library All Journals</source><source>Alma/SFX Local Collection</source><creator>Pettersson, N ; Karunamuni, R ; Connor, M ; Moiseenko, V ; Dale, A ; Bartsch, H ; Brewer, J ; Krishnan, A ; Kuperman, J ; Hagler, D ; McDonald, C ; Farid, N ; White, N ; Hattangadi-Gluth, J ; Cervino, L</creator><creatorcontrib>Pettersson, N ; Karunamuni, R ; Connor, M ; Moiseenko, V ; Dale, A ; Bartsch, H ; Brewer, J ; Krishnan, A ; Kuperman, J ; Hagler, D ; McDonald, C ; Farid, N ; White, N ; Hattangadi-Gluth, J ; Cervino, L</creatorcontrib><description>Purpose:
We investigated predictors of fractional anisotropy (FA) change in the corticospinal white matter tract (CST) following radiation therapy (RT).
Methods:
Diffusion tensor imaging (DTI) is a non-invasive modality which models water diffusion properties. FA quantifies the extent of directional bias—a decrease indicates disrupted white matter integrity. Fifteen patients with high-grade glioma underwent DTI scans before, and ten months after RT to 59.4–60 Gy. The CST was segmented using an automated atlas-based algorithm on all DTI images. Treatment planning CT and DTI images were aligned using non-linear registration allowing for baseline FA, follow-up FA, and absorbed dose to be determined in each voxel. Relative FA change was dichotomized into a binary outcome using 25% decrease as cutoff. Three metrics were assessed as predictors: voxel dose, distance from the voxel to the center of the CST (Rc), and the number of neighboring voxels (Nadj from 0 to 26) with ≥25% decrease in FA. Logistic regression and the area under the receiver-operating characteristics curve (AUC) analysis were performed for each patient.
Results:
Median age of the cohort was 59 years (range: 40–85). The average number of voxels in the CST amongst all patients was 1181 (±172, SD). In logistic regression, the probability of FA change was highly associated with Nadj in all 15 patients with corresponding AUCs between 0.81 and 0.97. With all three metrics included in the logistic regression models, Nadj was highly significant (p<0.001) in all patients, voxel dose significant (p<0.05) in 3/15 patients, and Rc significant in 12/15 patients (p<0.05).
Conclusion:
The number of neighboring voxels with change in FA was the dominant predictor of FA change at any given voxel. This suggests that the microenvironment of surrounding white matter disruption after radiation therapy may drive local effects along a white matter tract.
Pettersson and Cervino are funded by a Varian Medical Systems grant.</description><identifier>ISSN: 0094-2405</identifier><identifier>EISSN: 2473-4209</identifier><identifier>DOI: 10.1118/1.4956254</identifier><identifier>CODEN: MPHYA6</identifier><language>eng</language><publisher>United States: American Association of Physicists in Medicine</publisher><subject>60 APPLIED LIFE SCIENCES ; ABSORBED RADIATION DOSES ; ANISOTROPY ; BIOMEDICAL RADIOGRAPHY ; Computed tomography ; Diffusion ; Dosimetry ; Medical image segmentation ; Medical treatment planning ; NONLINEAR PROBLEMS ; PATIENTS ; RADIATION PROTECTION AND DOSIMETRY ; RADIOTHERAPY ; Tensor methods</subject><ispartof>Medical physics (Lancaster), 2016-06, Vol.43 (6), p.3488-3489</ispartof><rights>American Association of Physicists in Medicine</rights><rights>2016 American Association of Physicists in Medicine</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1118%2F1.4956254$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1416,27923,27924,45574</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/22642360$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Pettersson, N</creatorcontrib><creatorcontrib>Karunamuni, R</creatorcontrib><creatorcontrib>Connor, M</creatorcontrib><creatorcontrib>Moiseenko, V</creatorcontrib><creatorcontrib>Dale, A</creatorcontrib><creatorcontrib>Bartsch, H</creatorcontrib><creatorcontrib>Brewer, J</creatorcontrib><creatorcontrib>Krishnan, A</creatorcontrib><creatorcontrib>Kuperman, J</creatorcontrib><creatorcontrib>Hagler, D</creatorcontrib><creatorcontrib>McDonald, C</creatorcontrib><creatorcontrib>Farid, N</creatorcontrib><creatorcontrib>White, N</creatorcontrib><creatorcontrib>Hattangadi-Gluth, J</creatorcontrib><creatorcontrib>Cervino, L</creatorcontrib><title>SU-F-T-118: Characterization of Change in Fractional Anisotropy After Radiation Therapy: Does Nearby Disruption Predict for White Matter Damage?</title><title>Medical physics (Lancaster)</title><description>Purpose:
We investigated predictors of fractional anisotropy (FA) change in the corticospinal white matter tract (CST) following radiation therapy (RT).
Methods:
Diffusion tensor imaging (DTI) is a non-invasive modality which models water diffusion properties. FA quantifies the extent of directional bias—a decrease indicates disrupted white matter integrity. Fifteen patients with high-grade glioma underwent DTI scans before, and ten months after RT to 59.4–60 Gy. The CST was segmented using an automated atlas-based algorithm on all DTI images. Treatment planning CT and DTI images were aligned using non-linear registration allowing for baseline FA, follow-up FA, and absorbed dose to be determined in each voxel. Relative FA change was dichotomized into a binary outcome using 25% decrease as cutoff. Three metrics were assessed as predictors: voxel dose, distance from the voxel to the center of the CST (Rc), and the number of neighboring voxels (Nadj from 0 to 26) with ≥25% decrease in FA. Logistic regression and the area under the receiver-operating characteristics curve (AUC) analysis were performed for each patient.
Results:
Median age of the cohort was 59 years (range: 40–85). The average number of voxels in the CST amongst all patients was 1181 (±172, SD). In logistic regression, the probability of FA change was highly associated with Nadj in all 15 patients with corresponding AUCs between 0.81 and 0.97. With all three metrics included in the logistic regression models, Nadj was highly significant (p<0.001) in all patients, voxel dose significant (p<0.05) in 3/15 patients, and Rc significant in 12/15 patients (p<0.05).
Conclusion:
The number of neighboring voxels with change in FA was the dominant predictor of FA change at any given voxel. This suggests that the microenvironment of surrounding white matter disruption after radiation therapy may drive local effects along a white matter tract.
Pettersson and Cervino are funded by a Varian Medical Systems grant.</description><subject>60 APPLIED LIFE SCIENCES</subject><subject>ABSORBED RADIATION DOSES</subject><subject>ANISOTROPY</subject><subject>BIOMEDICAL RADIOGRAPHY</subject><subject>Computed tomography</subject><subject>Diffusion</subject><subject>Dosimetry</subject><subject>Medical image segmentation</subject><subject>Medical treatment planning</subject><subject>NONLINEAR PROBLEMS</subject><subject>PATIENTS</subject><subject>RADIATION PROTECTION AND DOSIMETRY</subject><subject>RADIOTHERAPY</subject><subject>Tensor methods</subject><issn>0094-2405</issn><issn>2473-4209</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp9kF9LwzAUxYMoOKcPfoOATwqZSZr-24uMzamw6dANH0ua3q6RrRlJReqn8CPbrnvVpwvn_s65l4PQJaMDxlh0ywYi9gPuiyPU4yL0iOA0PkY9SmNBuKD-KTpz7oNSGng-7aGftxWZkiVpvEM8LqSVqgKrv2WlTYlN3mrlGrAu8bTdNarc4FGpnams2dV4lDc8fpWZ7izLAqzc1UM8MeDwM0ib1niinf3c7fcLC5lWFc6Nxe-FrgDPZdVGTORWruHuHJ3kcuPg4jD7aDW9X44fyezl4Wk8mhHFPF-QLM8D8AXEEWOCs0ylPONhGkYQhpEHEeOUpUykUchDGodM5EA9lUFApZdGPPD66KrLNa7SiVPNJ6pQpixBVQnngeBeQBvquqOUNc5ZyJOd1Vtp64TRpC08Ycmh8IYlHfulN1D_DSbzxYG_6fj2-L68f8J_AXSqjJU</recordid><startdate>201606</startdate><enddate>201606</enddate><creator>Pettersson, N</creator><creator>Karunamuni, R</creator><creator>Connor, M</creator><creator>Moiseenko, V</creator><creator>Dale, A</creator><creator>Bartsch, H</creator><creator>Brewer, J</creator><creator>Krishnan, A</creator><creator>Kuperman, J</creator><creator>Hagler, D</creator><creator>McDonald, C</creator><creator>Farid, N</creator><creator>White, N</creator><creator>Hattangadi-Gluth, J</creator><creator>Cervino, L</creator><general>American Association of Physicists in Medicine</general><scope>AAYXX</scope><scope>CITATION</scope><scope>OTOTI</scope></search><sort><creationdate>201606</creationdate><title>SU-F-T-118: Characterization of Change in Fractional Anisotropy After Radiation Therapy: Does Nearby Disruption Predict for White Matter Damage?</title><author>Pettersson, N ; Karunamuni, R ; Connor, M ; Moiseenko, V ; Dale, A ; Bartsch, H ; Brewer, J ; Krishnan, A ; Kuperman, J ; Hagler, D ; McDonald, C ; Farid, N ; White, N ; Hattangadi-Gluth, J ; Cervino, L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1354-dff6e54e9811421dcb2d27b78e7783e81201b14b872709714fe03cde60a3b8263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>60 APPLIED LIFE SCIENCES</topic><topic>ABSORBED RADIATION DOSES</topic><topic>ANISOTROPY</topic><topic>BIOMEDICAL RADIOGRAPHY</topic><topic>Computed tomography</topic><topic>Diffusion</topic><topic>Dosimetry</topic><topic>Medical image segmentation</topic><topic>Medical treatment planning</topic><topic>NONLINEAR PROBLEMS</topic><topic>PATIENTS</topic><topic>RADIATION PROTECTION AND DOSIMETRY</topic><topic>RADIOTHERAPY</topic><topic>Tensor methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pettersson, N</creatorcontrib><creatorcontrib>Karunamuni, R</creatorcontrib><creatorcontrib>Connor, M</creatorcontrib><creatorcontrib>Moiseenko, V</creatorcontrib><creatorcontrib>Dale, A</creatorcontrib><creatorcontrib>Bartsch, H</creatorcontrib><creatorcontrib>Brewer, J</creatorcontrib><creatorcontrib>Krishnan, A</creatorcontrib><creatorcontrib>Kuperman, J</creatorcontrib><creatorcontrib>Hagler, D</creatorcontrib><creatorcontrib>McDonald, C</creatorcontrib><creatorcontrib>Farid, N</creatorcontrib><creatorcontrib>White, N</creatorcontrib><creatorcontrib>Hattangadi-Gluth, J</creatorcontrib><creatorcontrib>Cervino, L</creatorcontrib><collection>CrossRef</collection><collection>OSTI.GOV</collection><jtitle>Medical physics (Lancaster)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pettersson, N</au><au>Karunamuni, R</au><au>Connor, M</au><au>Moiseenko, V</au><au>Dale, A</au><au>Bartsch, H</au><au>Brewer, J</au><au>Krishnan, A</au><au>Kuperman, J</au><au>Hagler, D</au><au>McDonald, C</au><au>Farid, N</au><au>White, N</au><au>Hattangadi-Gluth, J</au><au>Cervino, L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SU-F-T-118: Characterization of Change in Fractional Anisotropy After Radiation Therapy: Does Nearby Disruption Predict for White Matter Damage?</atitle><jtitle>Medical physics (Lancaster)</jtitle><date>2016-06</date><risdate>2016</risdate><volume>43</volume><issue>6</issue><spage>3488</spage><epage>3489</epage><pages>3488-3489</pages><issn>0094-2405</issn><eissn>2473-4209</eissn><coden>MPHYA6</coden><abstract>Purpose:
We investigated predictors of fractional anisotropy (FA) change in the corticospinal white matter tract (CST) following radiation therapy (RT).
Methods:
Diffusion tensor imaging (DTI) is a non-invasive modality which models water diffusion properties. FA quantifies the extent of directional bias—a decrease indicates disrupted white matter integrity. Fifteen patients with high-grade glioma underwent DTI scans before, and ten months after RT to 59.4–60 Gy. The CST was segmented using an automated atlas-based algorithm on all DTI images. Treatment planning CT and DTI images were aligned using non-linear registration allowing for baseline FA, follow-up FA, and absorbed dose to be determined in each voxel. Relative FA change was dichotomized into a binary outcome using 25% decrease as cutoff. Three metrics were assessed as predictors: voxel dose, distance from the voxel to the center of the CST (Rc), and the number of neighboring voxels (Nadj from 0 to 26) with ≥25% decrease in FA. Logistic regression and the area under the receiver-operating characteristics curve (AUC) analysis were performed for each patient.
Results:
Median age of the cohort was 59 years (range: 40–85). The average number of voxels in the CST amongst all patients was 1181 (±172, SD). In logistic regression, the probability of FA change was highly associated with Nadj in all 15 patients with corresponding AUCs between 0.81 and 0.97. With all three metrics included in the logistic regression models, Nadj was highly significant (p<0.001) in all patients, voxel dose significant (p<0.05) in 3/15 patients, and Rc significant in 12/15 patients (p<0.05).
Conclusion:
The number of neighboring voxels with change in FA was the dominant predictor of FA change at any given voxel. This suggests that the microenvironment of surrounding white matter disruption after radiation therapy may drive local effects along a white matter tract.
Pettersson and Cervino are funded by a Varian Medical Systems grant.</abstract><cop>United States</cop><pub>American Association of Physicists in Medicine</pub><doi>10.1118/1.4956254</doi><tpages>2</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0094-2405 |
| ispartof | Medical physics (Lancaster), 2016-06, Vol.43 (6), p.3488-3489 |
| issn | 0094-2405 2473-4209 |
| language | eng |
| recordid | cdi_osti_scitechconnect_22642360 |
| source | Wiley Online Library All Journals; Alma/SFX Local Collection |
| subjects | 60 APPLIED LIFE SCIENCES ABSORBED RADIATION DOSES ANISOTROPY BIOMEDICAL RADIOGRAPHY Computed tomography Diffusion Dosimetry Medical image segmentation Medical treatment planning NONLINEAR PROBLEMS PATIENTS RADIATION PROTECTION AND DOSIMETRY RADIOTHERAPY Tensor methods |
| title | SU-F-T-118: Characterization of Change in Fractional Anisotropy After Radiation Therapy: Does Nearby Disruption Predict for White Matter Damage? |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T23%3A20%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wiley_osti_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=SU-F-T-118:%20Characterization%20of%20Change%20in%20Fractional%20Anisotropy%20After%20Radiation%20Therapy:%20Does%20Nearby%20Disruption%20Predict%20for%20White%20Matter%20Damage?&rft.jtitle=Medical%20physics%20(Lancaster)&rft.au=Pettersson,%20N&rft.date=2016-06&rft.volume=43&rft.issue=6&rft.spage=3488&rft.epage=3489&rft.pages=3488-3489&rft.issn=0094-2405&rft.eissn=2473-4209&rft.coden=MPHYA6&rft_id=info:doi/10.1118/1.4956254&rft_dat=%3Cwiley_osti_%3EMP6254%3C/wiley_osti_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |