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Characteristics of time-activity curves obtained from dynamic 11C-methionine PET in common primary brain tumors
Purpose The aim of this study was to assess whether dynamic PET with 11 C-methionine (MET) (MET-PET) is useful in the diagnosis of brain tumors. Methods One hundred sixty patients with brain tumors (139 gliomas, 9 meningiomas, 4 hemangioblastomas and 8 primary central nervous system lymphomas [PCNSL...
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| Published in: | Journal of neuro-oncology 2018-07, Vol.138 (3), p.649-658 |
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| container_title | Journal of neuro-oncology |
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| creator | Nomura, Yuichi Asano, Yoshitaka Shinoda, Jun Yano, Hirohito Ikegame, Yuka Kawasaki, Tomohiro Nakayama, Noriyuki Maruyama, Takashi Muragaki, Yoshihiro Iwama, Toru |
| description | Purpose
The aim of this study was to assess whether dynamic PET with
11
C-methionine (MET) (MET-PET) is useful in the diagnosis of brain tumors.
Methods
One hundred sixty patients with brain tumors (139 gliomas, 9 meningiomas, 4 hemangioblastomas and 8 primary central nervous system lymphomas [PCNSL]) underwent dynamic MET-PET with a 3-dimensional acquisition mode, and the maximum tumor MET-standardized uptake value (MET-SUV) was measured consecutively to construct a time-activity curve (TAC). Furthermore, receiver operating characteristic (ROC) curves were generated from the time-to-peak (TTP) and the slope of the curve in the late phase (SLOPE).
Results
The TAC patterns of MET-SUVs (MET-TACs) could be divided into four characteristic types when MET dynamics were analyzed by dividing the MET-TAC into three phases. MET-SUVs were significantly higher in early and late phases in glioblastoma compared to anaplastic astrocytoma, diffuse astrocytoma and the normal frontal cortex (P |
| doi_str_mv | 10.1007/s11060-018-2834-4 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2017061640</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2016175523</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2374-e4011e2385cf314bbb79c7abf953ebb7cc2f2409c1c5e20ac748756b1285ada23</originalsourceid><addsrcrecordid>eNp1kctKBDEQRYMoOD4-wF3AjZtoVR6dnqUMvkDQhYK7kM6kNTLpaNItzN-bYQRBcFVU1bmXKi4hJwjnCKAvCiI0wABbxlshmdwhM1RaMC202CUzwEYzNZcv--SglHcAkFrgjKTFm83WjT6HMgZXaOrpGKJndRa-wrimbspfvs670YbBL2mfU6TL9WBjcBRxwaIf30Ia6pI-Xj3RMFCXYkwD_cgh2rymXa5KOk4x5XJE9nq7Kv74px6S5-urp8Utu3-4uVtc3jPHhZbMS0D0XLTK9QJl13V67rTt-rkSvjbO8Z5LmDt0ynOwTstWq6ZD3iq7tFwckrOt70dOn5Mvo4mhOL9a2cGnqRgOqKHBRkJFT_-g72nKQ71uQzWoleKiUrilXE6lZN-bn_cMgtlEYLYRmBqB2URgZNXwraZUdnj1-df5f9E3hCiJkg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2016175523</pqid></control><display><type>article</type><title>Characteristics of time-activity curves obtained from dynamic 11C-methionine PET in common primary brain tumors</title><source>Springer Nature</source><creator>Nomura, Yuichi ; Asano, Yoshitaka ; Shinoda, Jun ; Yano, Hirohito ; Ikegame, Yuka ; Kawasaki, Tomohiro ; Nakayama, Noriyuki ; Maruyama, Takashi ; Muragaki, Yoshihiro ; Iwama, Toru</creator><creatorcontrib>Nomura, Yuichi ; Asano, Yoshitaka ; Shinoda, Jun ; Yano, Hirohito ; Ikegame, Yuka ; Kawasaki, Tomohiro ; Nakayama, Noriyuki ; Maruyama, Takashi ; Muragaki, Yoshihiro ; Iwama, Toru</creatorcontrib><description>Purpose
The aim of this study was to assess whether dynamic PET with
11
C-methionine (MET) (MET-PET) is useful in the diagnosis of brain tumors.
Methods
One hundred sixty patients with brain tumors (139 gliomas, 9 meningiomas, 4 hemangioblastomas and 8 primary central nervous system lymphomas [PCNSL]) underwent dynamic MET-PET with a 3-dimensional acquisition mode, and the maximum tumor MET-standardized uptake value (MET-SUV) was measured consecutively to construct a time-activity curve (TAC). Furthermore, receiver operating characteristic (ROC) curves were generated from the time-to-peak (TTP) and the slope of the curve in the late phase (SLOPE).
Results
The TAC patterns of MET-SUVs (MET-TACs) could be divided into four characteristic types when MET dynamics were analyzed by dividing the MET-TAC into three phases. MET-SUVs were significantly higher in early and late phases in glioblastoma compared to anaplastic astrocytoma, diffuse astrocytoma and the normal frontal cortex (P < 0.05). The SLOPE in the late phase was significantly lower in tumors that included an oligodendroglial component compared to astrocytic tumors (P < 0.001). When we set the cutoff of the SLOPE in the late phase to − 0.04 h
−1
for the differentiation of tumors that included an oligodendroglial component from astrocytic tumors, the diagnostic accuracy was 74.2% sensitivity and 64.9% specificity. The area under the ROC curve was 0.731.
Conclusions
The results of this study show that quantification of the MET-TAC for each brain tumor identified by a dynamic MET-PET study could be helpful in the non-invasive discrimination of brain tumor subtypes, in particular gliomas.</description><identifier>ISSN: 0167-594X</identifier><identifier>EISSN: 1573-7373</identifier><identifier>DOI: 10.1007/s11060-018-2834-4</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Astrocytoma ; Brain cancer ; Brain tumors ; Central nervous system ; Clinical Study ; Cortex (frontal) ; Glioblastoma ; Lymphoma ; Medicine ; Medicine & Public Health ; Methionine ; Neurology ; Oncology ; Positron emission tomography ; Tumors</subject><ispartof>Journal of neuro-oncology, 2018-07, Vol.138 (3), p.649-658</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018</rights><rights>Journal of Neuro-Oncology is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2374-e4011e2385cf314bbb79c7abf953ebb7cc2f2409c1c5e20ac748756b1285ada23</citedby><cites>FETCH-LOGICAL-c2374-e4011e2385cf314bbb79c7abf953ebb7cc2f2409c1c5e20ac748756b1285ada23</cites><orcidid>0000-0003-2301-2680</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Nomura, Yuichi</creatorcontrib><creatorcontrib>Asano, Yoshitaka</creatorcontrib><creatorcontrib>Shinoda, Jun</creatorcontrib><creatorcontrib>Yano, Hirohito</creatorcontrib><creatorcontrib>Ikegame, Yuka</creatorcontrib><creatorcontrib>Kawasaki, Tomohiro</creatorcontrib><creatorcontrib>Nakayama, Noriyuki</creatorcontrib><creatorcontrib>Maruyama, Takashi</creatorcontrib><creatorcontrib>Muragaki, Yoshihiro</creatorcontrib><creatorcontrib>Iwama, Toru</creatorcontrib><title>Characteristics of time-activity curves obtained from dynamic 11C-methionine PET in common primary brain tumors</title><title>Journal of neuro-oncology</title><addtitle>J Neurooncol</addtitle><description>Purpose
The aim of this study was to assess whether dynamic PET with
11
C-methionine (MET) (MET-PET) is useful in the diagnosis of brain tumors.
Methods
One hundred sixty patients with brain tumors (139 gliomas, 9 meningiomas, 4 hemangioblastomas and 8 primary central nervous system lymphomas [PCNSL]) underwent dynamic MET-PET with a 3-dimensional acquisition mode, and the maximum tumor MET-standardized uptake value (MET-SUV) was measured consecutively to construct a time-activity curve (TAC). Furthermore, receiver operating characteristic (ROC) curves were generated from the time-to-peak (TTP) and the slope of the curve in the late phase (SLOPE).
Results
The TAC patterns of MET-SUVs (MET-TACs) could be divided into four characteristic types when MET dynamics were analyzed by dividing the MET-TAC into three phases. MET-SUVs were significantly higher in early and late phases in glioblastoma compared to anaplastic astrocytoma, diffuse astrocytoma and the normal frontal cortex (P < 0.05). The SLOPE in the late phase was significantly lower in tumors that included an oligodendroglial component compared to astrocytic tumors (P < 0.001). When we set the cutoff of the SLOPE in the late phase to − 0.04 h
−1
for the differentiation of tumors that included an oligodendroglial component from astrocytic tumors, the diagnostic accuracy was 74.2% sensitivity and 64.9% specificity. The area under the ROC curve was 0.731.
Conclusions
The results of this study show that quantification of the MET-TAC for each brain tumor identified by a dynamic MET-PET study could be helpful in the non-invasive discrimination of brain tumor subtypes, in particular gliomas.</description><subject>Astrocytoma</subject><subject>Brain cancer</subject><subject>Brain tumors</subject><subject>Central nervous system</subject><subject>Clinical Study</subject><subject>Cortex (frontal)</subject><subject>Glioblastoma</subject><subject>Lymphoma</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Methionine</subject><subject>Neurology</subject><subject>Oncology</subject><subject>Positron emission tomography</subject><subject>Tumors</subject><issn>0167-594X</issn><issn>1573-7373</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kctKBDEQRYMoOD4-wF3AjZtoVR6dnqUMvkDQhYK7kM6kNTLpaNItzN-bYQRBcFVU1bmXKi4hJwjnCKAvCiI0wABbxlshmdwhM1RaMC202CUzwEYzNZcv--SglHcAkFrgjKTFm83WjT6HMgZXaOrpGKJndRa-wrimbspfvs670YbBL2mfU6TL9WBjcBRxwaIf30Ia6pI-Xj3RMFCXYkwD_cgh2rymXa5KOk4x5XJE9nq7Kv74px6S5-urp8Utu3-4uVtc3jPHhZbMS0D0XLTK9QJl13V67rTt-rkSvjbO8Z5LmDt0ynOwTstWq6ZD3iq7tFwckrOt70dOn5Mvo4mhOL9a2cGnqRgOqKHBRkJFT_-g72nKQ71uQzWoleKiUrilXE6lZN-bn_cMgtlEYLYRmBqB2URgZNXwraZUdnj1-df5f9E3hCiJkg</recordid><startdate>20180701</startdate><enddate>20180701</enddate><creator>Nomura, Yuichi</creator><creator>Asano, Yoshitaka</creator><creator>Shinoda, Jun</creator><creator>Yano, Hirohito</creator><creator>Ikegame, Yuka</creator><creator>Kawasaki, Tomohiro</creator><creator>Nakayama, Noriyuki</creator><creator>Maruyama, Takashi</creator><creator>Muragaki, Yoshihiro</creator><creator>Iwama, Toru</creator><general>Springer US</general><general>Springer Nature B.V</general><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><orcidid>https://orcid.org/0000-0003-2301-2680</orcidid></search><sort><creationdate>20180701</creationdate><title>Characteristics of time-activity curves obtained from dynamic 11C-methionine PET in common primary brain tumors</title><author>Nomura, Yuichi ; Asano, Yoshitaka ; Shinoda, Jun ; Yano, Hirohito ; Ikegame, Yuka ; Kawasaki, Tomohiro ; Nakayama, Noriyuki ; Maruyama, Takashi ; Muragaki, Yoshihiro ; Iwama, Toru</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2374-e4011e2385cf314bbb79c7abf953ebb7cc2f2409c1c5e20ac748756b1285ada23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Astrocytoma</topic><topic>Brain cancer</topic><topic>Brain tumors</topic><topic>Central nervous system</topic><topic>Clinical Study</topic><topic>Cortex (frontal)</topic><topic>Glioblastoma</topic><topic>Lymphoma</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Methionine</topic><topic>Neurology</topic><topic>Oncology</topic><topic>Positron emission tomography</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nomura, Yuichi</creatorcontrib><creatorcontrib>Asano, Yoshitaka</creatorcontrib><creatorcontrib>Shinoda, Jun</creatorcontrib><creatorcontrib>Yano, Hirohito</creatorcontrib><creatorcontrib>Ikegame, Yuka</creatorcontrib><creatorcontrib>Kawasaki, Tomohiro</creatorcontrib><creatorcontrib>Nakayama, Noriyuki</creatorcontrib><creatorcontrib>Maruyama, Takashi</creatorcontrib><creatorcontrib>Muragaki, Yoshihiro</creatorcontrib><creatorcontrib>Iwama, Toru</creatorcontrib><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)</collection><collection>ProQuest Central</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>Nomura, Yuichi</au><au>Asano, Yoshitaka</au><au>Shinoda, Jun</au><au>Yano, Hirohito</au><au>Ikegame, Yuka</au><au>Kawasaki, Tomohiro</au><au>Nakayama, Noriyuki</au><au>Maruyama, Takashi</au><au>Muragaki, Yoshihiro</au><au>Iwama, Toru</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characteristics of time-activity curves obtained from dynamic 11C-methionine PET in common primary brain tumors</atitle><jtitle>Journal of neuro-oncology</jtitle><stitle>J Neurooncol</stitle><date>2018-07-01</date><risdate>2018</risdate><volume>138</volume><issue>3</issue><spage>649</spage><epage>658</epage><pages>649-658</pages><issn>0167-594X</issn><eissn>1573-7373</eissn><abstract>Purpose
The aim of this study was to assess whether dynamic PET with
11
C-methionine (MET) (MET-PET) is useful in the diagnosis of brain tumors.
Methods
One hundred sixty patients with brain tumors (139 gliomas, 9 meningiomas, 4 hemangioblastomas and 8 primary central nervous system lymphomas [PCNSL]) underwent dynamic MET-PET with a 3-dimensional acquisition mode, and the maximum tumor MET-standardized uptake value (MET-SUV) was measured consecutively to construct a time-activity curve (TAC). Furthermore, receiver operating characteristic (ROC) curves were generated from the time-to-peak (TTP) and the slope of the curve in the late phase (SLOPE).
Results
The TAC patterns of MET-SUVs (MET-TACs) could be divided into four characteristic types when MET dynamics were analyzed by dividing the MET-TAC into three phases. MET-SUVs were significantly higher in early and late phases in glioblastoma compared to anaplastic astrocytoma, diffuse astrocytoma and the normal frontal cortex (P < 0.05). The SLOPE in the late phase was significantly lower in tumors that included an oligodendroglial component compared to astrocytic tumors (P < 0.001). When we set the cutoff of the SLOPE in the late phase to − 0.04 h
−1
for the differentiation of tumors that included an oligodendroglial component from astrocytic tumors, the diagnostic accuracy was 74.2% sensitivity and 64.9% specificity. The area under the ROC curve was 0.731.
Conclusions
The results of this study show that quantification of the MET-TAC for each brain tumor identified by a dynamic MET-PET study could be helpful in the non-invasive discrimination of brain tumor subtypes, in particular gliomas.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11060-018-2834-4</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-2301-2680</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Astrocytoma Brain cancer Brain tumors Central nervous system Clinical Study Cortex (frontal) Glioblastoma Lymphoma Medicine Medicine & Public Health Methionine Neurology Oncology Positron emission tomography Tumors |
| title | Characteristics of time-activity curves obtained from dynamic 11C-methionine PET in common primary brain tumors |
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