Grading glial tumors with amide proton transfer MR imaging: different analytical approaches
Amide proton transfer (APT) magnetic resonance imaging is gaining attention for its capability for grading glial tumors. Usually, a representative slice is analyzed. Different definitions of tumor areas have been employed in previous studies. We hypothesized that the accuracy of APT imaging for brai...
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Veröffentlicht in: | Journal of neuro-oncology 2015-04, Vol.122 (2), p.339-348 |
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creator | Sakata, Akihiko Okada, Tomohisa Yamamoto, Akira Kanagaki, Mitsunori Fushimi, Yasutaka Okada, Tsutomu Dodo, Toshiki Arakawa, Yoshiki Schmitt, Benjamin Miyamoto, Susumu Togashi, Kaori |
description | Amide proton transfer (APT) magnetic resonance imaging is gaining attention for its capability for grading glial tumors. Usually, a representative slice is analyzed. Different definitions of tumor areas have been employed in previous studies. We hypothesized that the accuracy of APT imaging for brain tumor grading may depend upon the analytical methodology used, such as selection of regions of interest (ROIs), single or multiple tumor slices, and whether or not there is normalization to the contralateral white matter. This study was approved by the institutional review board, and written informed consent was waived. Twenty-six patients with histologically proven glial tumors underwent preoperative APT imaging with a three-dimensional gradient-echo sequence. Two neuroradiologists independently analyzed APT asymmetry (APTasym) images by placing ROIs on both a single representative slice (RS) and all slices including tumor (i.e. whole tumor: WT). ROIs indicating tumor extent were separately defined on both FLAIR and, if applicable, contrast-enhanced T1-weighted images (CE-T1WI), yielding four mean APTasym values (RS-FLAIR, WT-FLAIR, RS-CE-T1WI, and WT-CE-T1WI). The maximum values were also measured using small ROIs, and their differences among grades were evaluated. Receiver operating characteristic (ROC) curve analysis was also conducted on mean and maximum values. Intra-class correlation coefficients for inter-observer agreement were excellent. Significant differences were observed between high- and low-grade gliomas for all five methods (
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P
< 0.01). ROC curve analysis found no statistically significant difference among them. This study clarifies that single-slice APT analysis is robust despite tumor heterogeneity, and can grade glial tumors with or without the use of contrast material.</description><identifier>ISSN: 0167-594X</identifier><identifier>EISSN: 1573-7373</identifier><identifier>DOI: 10.1007/s11060-014-1715-8</identifier><identifier>PMID: 25559689</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Area Under Curve ; Brain - pathology ; Brain Neoplasms - pathology ; Clinical Study ; Female ; Glioma - pathology ; Humans ; Image Processing, Computer-Assisted ; Imaging, Three-Dimensional - methods ; Magnetic Resonance Imaging - methods ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Neoplasm Grading - methods ; Neurology ; Oncology ; ROC Curve ; Sensitivity and Specificity ; Tumor Burden ; Young Adult</subject><ispartof>Journal of neuro-oncology, 2015-04, Vol.122 (2), p.339-348</ispartof><rights>Springer Science+Business Media New York 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c518t-f0706bf6be2e0c6cbf1740165984c7ef84215359688bdbb2fe6f2dc02b8d50a03</citedby><cites>FETCH-LOGICAL-c518t-f0706bf6be2e0c6cbf1740165984c7ef84215359688bdbb2fe6f2dc02b8d50a03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11060-014-1715-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11060-014-1715-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27911,27912,41475,42544,51306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25559689$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sakata, Akihiko</creatorcontrib><creatorcontrib>Okada, Tomohisa</creatorcontrib><creatorcontrib>Yamamoto, Akira</creatorcontrib><creatorcontrib>Kanagaki, Mitsunori</creatorcontrib><creatorcontrib>Fushimi, Yasutaka</creatorcontrib><creatorcontrib>Okada, Tsutomu</creatorcontrib><creatorcontrib>Dodo, Toshiki</creatorcontrib><creatorcontrib>Arakawa, Yoshiki</creatorcontrib><creatorcontrib>Schmitt, Benjamin</creatorcontrib><creatorcontrib>Miyamoto, Susumu</creatorcontrib><creatorcontrib>Togashi, Kaori</creatorcontrib><title>Grading glial tumors with amide proton transfer MR imaging: different analytical approaches</title><title>Journal of neuro-oncology</title><addtitle>J Neurooncol</addtitle><addtitle>J Neurooncol</addtitle><description>Amide proton transfer (APT) magnetic resonance imaging is gaining attention for its capability for grading glial tumors. Usually, a representative slice is analyzed. Different definitions of tumor areas have been employed in previous studies. We hypothesized that the accuracy of APT imaging for brain tumor grading may depend upon the analytical methodology used, such as selection of regions of interest (ROIs), single or multiple tumor slices, and whether or not there is normalization to the contralateral white matter. This study was approved by the institutional review board, and written informed consent was waived. Twenty-six patients with histologically proven glial tumors underwent preoperative APT imaging with a three-dimensional gradient-echo sequence. Two neuroradiologists independently analyzed APT asymmetry (APTasym) images by placing ROIs on both a single representative slice (RS) and all slices including tumor (i.e. whole tumor: WT). ROIs indicating tumor extent were separately defined on both FLAIR and, if applicable, contrast-enhanced T1-weighted images (CE-T1WI), yielding four mean APTasym values (RS-FLAIR, WT-FLAIR, RS-CE-T1WI, and WT-CE-T1WI). The maximum values were also measured using small ROIs, and their differences among grades were evaluated. Receiver operating characteristic (ROC) curve analysis was also conducted on mean and maximum values. Intra-class correlation coefficients for inter-observer agreement were excellent. Significant differences were observed between high- and low-grade gliomas for all five methods (
P
< 0.01). ROC curve analysis found no statistically significant difference among them. This study clarifies that single-slice APT analysis is robust despite tumor heterogeneity, and can grade glial tumors with or without the use of contrast material.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Area Under Curve</subject><subject>Brain - pathology</subject><subject>Brain Neoplasms - pathology</subject><subject>Clinical Study</subject><subject>Female</subject><subject>Glioma - pathology</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Neoplasm Grading - methods</subject><subject>Neurology</subject><subject>Oncology</subject><subject>ROC Curve</subject><subject>Sensitivity and Specificity</subject><subject>Tumor Burden</subject><subject>Young Adult</subject><issn>0167-594X</issn><issn>1573-7373</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqNkUtLxDAUhYMoOj5-gBsJuHFTvTdNmtadDL5AEURBcBHSNBkrfYxJi_jvzTgqIgiuAsl3zj25h5BdhEMEkEcBETJIAHmCEkWSr5AJCpkmMpXpKpkAZjIRBX_YIJshPAMAlymukw0mhCiyvJiQx3Ovq7qb0VlT64YOY9v7QF_r4Ynqtq4snft-6Ds6eN0FZz29vqV1q2dRckyr2sUr2w1Ud7p5G2oTLfQ8SrR5smGbrDndBLvzeW6R-7PTu-lFcnVzfjk9uUqMwHxIHEjISpeVllkwmSkdSh6jiyLnRlqXc4YiXeTNy6osmbOZY5UBVuaVAA3pFjlY-sbBL6MNg2rrYGzT6M72Y1BxC2lacGTyH2gmeCEEExHd_4U-96OP__ygeAExFEYKl5TxfQjeOjX3cT_-TSGoRUlqWZKKJalFSSqPmr1P57FsbfWt-GolAmwJhPjUzaz_MfpP13dBa5wC</recordid><startdate>20150401</startdate><enddate>20150401</enddate><creator>Sakata, Akihiko</creator><creator>Okada, Tomohisa</creator><creator>Yamamoto, Akira</creator><creator>Kanagaki, Mitsunori</creator><creator>Fushimi, Yasutaka</creator><creator>Okada, Tsutomu</creator><creator>Dodo, Toshiki</creator><creator>Arakawa, Yoshiki</creator><creator>Schmitt, Benjamin</creator><creator>Miyamoto, Susumu</creator><creator>Togashi, Kaori</creator><general>Springer US</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>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20150401</creationdate><title>Grading glial tumors with amide proton transfer MR imaging: different analytical approaches</title><author>Sakata, Akihiko ; Okada, Tomohisa ; Yamamoto, Akira ; Kanagaki, Mitsunori ; Fushimi, Yasutaka ; Okada, Tsutomu ; Dodo, Toshiki ; Arakawa, Yoshiki ; Schmitt, Benjamin ; Miyamoto, Susumu ; Togashi, Kaori</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c518t-f0706bf6be2e0c6cbf1740165984c7ef84215359688bdbb2fe6f2dc02b8d50a03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Area Under Curve</topic><topic>Brain - pathology</topic><topic>Brain Neoplasms - pathology</topic><topic>Clinical Study</topic><topic>Female</topic><topic>Glioma - pathology</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Neoplasm Grading - methods</topic><topic>Neurology</topic><topic>Oncology</topic><topic>ROC Curve</topic><topic>Sensitivity and Specificity</topic><topic>Tumor Burden</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sakata, Akihiko</creatorcontrib><creatorcontrib>Okada, Tomohisa</creatorcontrib><creatorcontrib>Yamamoto, Akira</creatorcontrib><creatorcontrib>Kanagaki, Mitsunori</creatorcontrib><creatorcontrib>Fushimi, Yasutaka</creatorcontrib><creatorcontrib>Okada, Tsutomu</creatorcontrib><creatorcontrib>Dodo, Toshiki</creatorcontrib><creatorcontrib>Arakawa, Yoshiki</creatorcontrib><creatorcontrib>Schmitt, Benjamin</creatorcontrib><creatorcontrib>Miyamoto, Susumu</creatorcontrib><creatorcontrib>Togashi, Kaori</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>Neurosciences 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>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</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>MEDLINE - Academic</collection><jtitle>Journal of neuro-oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sakata, Akihiko</au><au>Okada, Tomohisa</au><au>Yamamoto, Akira</au><au>Kanagaki, Mitsunori</au><au>Fushimi, Yasutaka</au><au>Okada, Tsutomu</au><au>Dodo, Toshiki</au><au>Arakawa, Yoshiki</au><au>Schmitt, Benjamin</au><au>Miyamoto, Susumu</au><au>Togashi, Kaori</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Grading glial tumors with amide proton transfer MR imaging: different analytical approaches</atitle><jtitle>Journal of neuro-oncology</jtitle><stitle>J Neurooncol</stitle><addtitle>J Neurooncol</addtitle><date>2015-04-01</date><risdate>2015</risdate><volume>122</volume><issue>2</issue><spage>339</spage><epage>348</epage><pages>339-348</pages><issn>0167-594X</issn><eissn>1573-7373</eissn><abstract>Amide proton transfer (APT) magnetic resonance imaging is gaining attention for its capability for grading glial tumors. Usually, a representative slice is analyzed. Different definitions of tumor areas have been employed in previous studies. We hypothesized that the accuracy of APT imaging for brain tumor grading may depend upon the analytical methodology used, such as selection of regions of interest (ROIs), single or multiple tumor slices, and whether or not there is normalization to the contralateral white matter. This study was approved by the institutional review board, and written informed consent was waived. Twenty-six patients with histologically proven glial tumors underwent preoperative APT imaging with a three-dimensional gradient-echo sequence. Two neuroradiologists independently analyzed APT asymmetry (APTasym) images by placing ROIs on both a single representative slice (RS) and all slices including tumor (i.e. whole tumor: WT). ROIs indicating tumor extent were separately defined on both FLAIR and, if applicable, contrast-enhanced T1-weighted images (CE-T1WI), yielding four mean APTasym values (RS-FLAIR, WT-FLAIR, RS-CE-T1WI, and WT-CE-T1WI). The maximum values were also measured using small ROIs, and their differences among grades were evaluated. Receiver operating characteristic (ROC) curve analysis was also conducted on mean and maximum values. Intra-class correlation coefficients for inter-observer agreement were excellent. Significant differences were observed between high- and low-grade gliomas for all five methods (
P
< 0.01). ROC curve analysis found no statistically significant difference among them. This study clarifies that single-slice APT analysis is robust despite tumor heterogeneity, and can grade glial tumors with or without the use of contrast material.</abstract><cop>Boston</cop><pub>Springer US</pub><pmid>25559689</pmid><doi>10.1007/s11060-014-1715-8</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Aged, 80 and over Area Under Curve Brain - pathology Brain Neoplasms - pathology Clinical Study Female Glioma - pathology Humans Image Processing, Computer-Assisted Imaging, Three-Dimensional - methods Magnetic Resonance Imaging - methods Male Medicine Medicine & Public Health Middle Aged Neoplasm Grading - methods Neurology Oncology ROC Curve Sensitivity and Specificity Tumor Burden Young Adult |
title | Grading glial tumors with amide proton transfer MR imaging: different analytical approaches |
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