Methionine-PET to differentiate between brain lesions appearing similar on conventional CT/MRI scans
C-Methionine (MET)-PET is a useful tool in neuro-oncology. This study aimed to examine whether a combination of diagnostic variables associated with MET uptake could help distinguish between brain lesions that are often difficult to discriminate in conventional CT and MRI. MET-PET was assessed in 12...
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Veröffentlicht in: | Journal of neuroimaging 2023-09, Vol.33 (5), p.837-844 |
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creator | Ohmura, Kazufumi Ikegame, Yuka Yano, Hirohito Shinoda, Jun Iwama, Toru |
description | C-Methionine (MET)-PET is a useful tool in neuro-oncology. This study aimed to examine whether a combination of diagnostic variables associated with MET uptake could help distinguish between brain lesions that are often difficult to discriminate in conventional CT and MRI.
MET-PET was assessed in 129 patients with glioblastoma multiforme, primary central nervous lymphoma, metastatic brain tumor, tumefactive multiple sclerosis, or radiation necrosis. The accuracy of the differential diagnosis was analyzed using five diagnostic characteristics in combination: higher maximum standardized uptake value (SUV) of MET in the lesion/the mean normal cortical SUV of MET ratio, overextension beyond gadolinium, peripheral pattern indicating abundant MET accumulation in the peripheral region, central pattern denoting abundant MET accumulation in the central region, and dynamic-up suggesting increased MET accumulation during dynamic study. The analysis was conducted on sets of two of the five brain lesions.
Significant differences in the five diagnostic traits were observed among the five brain lesions, and differential diagnosis could be achieved by combining these diagnostic features. The area under the curve between each set of two of the five brain lesions using MET-PET features ranged from .85 to 1.0.
According to the findings, combining the five diagnostic criteria could help with the differential diagnosis of the five brain lesions. MET-PET is an auxiliary diagnostic technique that could help in distinguishing these five brain lesions. |
doi_str_mv | 10.1111/jon.13126 |
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MET-PET was assessed in 129 patients with glioblastoma multiforme, primary central nervous lymphoma, metastatic brain tumor, tumefactive multiple sclerosis, or radiation necrosis. The accuracy of the differential diagnosis was analyzed using five diagnostic characteristics in combination: higher maximum standardized uptake value (SUV) of MET in the lesion/the mean normal cortical SUV of MET ratio, overextension beyond gadolinium, peripheral pattern indicating abundant MET accumulation in the peripheral region, central pattern denoting abundant MET accumulation in the central region, and dynamic-up suggesting increased MET accumulation during dynamic study. The analysis was conducted on sets of two of the five brain lesions.
Significant differences in the five diagnostic traits were observed among the five brain lesions, and differential diagnosis could be achieved by combining these diagnostic features. The area under the curve between each set of two of the five brain lesions using MET-PET features ranged from .85 to 1.0.
According to the findings, combining the five diagnostic criteria could help with the differential diagnosis of the five brain lesions. MET-PET is an auxiliary diagnostic technique that could help in distinguishing these five brain lesions.</description><identifier>ISSN: 1051-2284</identifier><identifier>EISSN: 1552-6569</identifier><identifier>DOI: 10.1111/jon.13126</identifier><identifier>PMID: 37246342</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Accumulation ; Brain ; Brain cancer ; Brain tumors ; Computed tomography ; Diagnosis ; Differential diagnosis ; Gadolinium ; Glioblastoma ; Lesions ; Lymphoma ; Magnetic resonance imaging ; Metastases ; Methionine ; Multiple sclerosis ; Necrosis ; Neuroimaging ; Positron emission</subject><ispartof>Journal of neuroimaging, 2023-09, Vol.33 (5), p.837-844</ispartof><rights>2023 American Society of Neuroimaging.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c273t-10e716e6739754e2f688de794ea6e20107cd6a7153f3172a6d11f12216b928673</cites><orcidid>0000-0001-6836-989X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37246342$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ohmura, Kazufumi</creatorcontrib><creatorcontrib>Ikegame, Yuka</creatorcontrib><creatorcontrib>Yano, Hirohito</creatorcontrib><creatorcontrib>Shinoda, Jun</creatorcontrib><creatorcontrib>Iwama, Toru</creatorcontrib><title>Methionine-PET to differentiate between brain lesions appearing similar on conventional CT/MRI scans</title><title>Journal of neuroimaging</title><addtitle>J Neuroimaging</addtitle><description>C-Methionine (MET)-PET is a useful tool in neuro-oncology. This study aimed to examine whether a combination of diagnostic variables associated with MET uptake could help distinguish between brain lesions that are often difficult to discriminate in conventional CT and MRI.
MET-PET was assessed in 129 patients with glioblastoma multiforme, primary central nervous lymphoma, metastatic brain tumor, tumefactive multiple sclerosis, or radiation necrosis. The accuracy of the differential diagnosis was analyzed using five diagnostic characteristics in combination: higher maximum standardized uptake value (SUV) of MET in the lesion/the mean normal cortical SUV of MET ratio, overextension beyond gadolinium, peripheral pattern indicating abundant MET accumulation in the peripheral region, central pattern denoting abundant MET accumulation in the central region, and dynamic-up suggesting increased MET accumulation during dynamic study. The analysis was conducted on sets of two of the five brain lesions.
Significant differences in the five diagnostic traits were observed among the five brain lesions, and differential diagnosis could be achieved by combining these diagnostic features. The area under the curve between each set of two of the five brain lesions using MET-PET features ranged from .85 to 1.0.
According to the findings, combining the five diagnostic criteria could help with the differential diagnosis of the five brain lesions. MET-PET is an auxiliary diagnostic technique that could help in distinguishing these five brain lesions.</description><subject>Accumulation</subject><subject>Brain</subject><subject>Brain cancer</subject><subject>Brain tumors</subject><subject>Computed tomography</subject><subject>Diagnosis</subject><subject>Differential diagnosis</subject><subject>Gadolinium</subject><subject>Glioblastoma</subject><subject>Lesions</subject><subject>Lymphoma</subject><subject>Magnetic resonance imaging</subject><subject>Metastases</subject><subject>Methionine</subject><subject>Multiple sclerosis</subject><subject>Necrosis</subject><subject>Neuroimaging</subject><subject>Positron emission</subject><issn>1051-2284</issn><issn>1552-6569</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpd0E1LxDAQBuAgit8H_4AEvOihmpk0Sfcoi1-gKLKeS7adapZusiZdxX9v1q-DuUwOzzsML2MHIE4hv7NZ8KcgAfUa2walsNBKj9bzXygoEKtyi-2kNBMCoUS5ybakwVLLErdZe0fDiwveeSoeLiZ8CLx1XUeR_ODsQHxKwzuR59Nonec9pYwTt4sF2ej8M09u7nobefC8Cf5tFQve9nw8Obt7vOGpsT7tsY3O9on2f-Yue7q8mIyvi9v7q5vx-W3RoJFDAYIMaNJGjowqCTtdVS2ZUUlWEwoQpmm1NaBkJ8Gg1S1AB4igpyOscmyXHX_vXcTwuqQ01HOXGup76yksU40VCim1lCrTo390FpYxH75S2iipUUFWJ9-qiSGlSF29iG5u40cNol5Vn1O-_qo-28OfjcvpnNo_-du1_AT4Mnzx</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Ohmura, Kazufumi</creator><creator>Ikegame, Yuka</creator><creator>Yano, Hirohito</creator><creator>Shinoda, Jun</creator><creator>Iwama, Toru</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7QP</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-6836-989X</orcidid></search><sort><creationdate>20230901</creationdate><title>Methionine-PET to differentiate between brain lesions appearing similar on conventional CT/MRI scans</title><author>Ohmura, Kazufumi ; Ikegame, Yuka ; Yano, Hirohito ; Shinoda, Jun ; Iwama, Toru</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c273t-10e716e6739754e2f688de794ea6e20107cd6a7153f3172a6d11f12216b928673</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Accumulation</topic><topic>Brain</topic><topic>Brain cancer</topic><topic>Brain tumors</topic><topic>Computed tomography</topic><topic>Diagnosis</topic><topic>Differential diagnosis</topic><topic>Gadolinium</topic><topic>Glioblastoma</topic><topic>Lesions</topic><topic>Lymphoma</topic><topic>Magnetic resonance imaging</topic><topic>Metastases</topic><topic>Methionine</topic><topic>Multiple sclerosis</topic><topic>Necrosis</topic><topic>Neuroimaging</topic><topic>Positron emission</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ohmura, Kazufumi</creatorcontrib><creatorcontrib>Ikegame, Yuka</creatorcontrib><creatorcontrib>Yano, Hirohito</creatorcontrib><creatorcontrib>Shinoda, Jun</creatorcontrib><creatorcontrib>Iwama, Toru</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of neuroimaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ohmura, Kazufumi</au><au>Ikegame, Yuka</au><au>Yano, Hirohito</au><au>Shinoda, Jun</au><au>Iwama, Toru</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Methionine-PET to differentiate between brain lesions appearing similar on conventional CT/MRI scans</atitle><jtitle>Journal of neuroimaging</jtitle><addtitle>J Neuroimaging</addtitle><date>2023-09-01</date><risdate>2023</risdate><volume>33</volume><issue>5</issue><spage>837</spage><epage>844</epage><pages>837-844</pages><issn>1051-2284</issn><eissn>1552-6569</eissn><abstract>C-Methionine (MET)-PET is a useful tool in neuro-oncology. This study aimed to examine whether a combination of diagnostic variables associated with MET uptake could help distinguish between brain lesions that are often difficult to discriminate in conventional CT and MRI.
MET-PET was assessed in 129 patients with glioblastoma multiforme, primary central nervous lymphoma, metastatic brain tumor, tumefactive multiple sclerosis, or radiation necrosis. The accuracy of the differential diagnosis was analyzed using five diagnostic characteristics in combination: higher maximum standardized uptake value (SUV) of MET in the lesion/the mean normal cortical SUV of MET ratio, overextension beyond gadolinium, peripheral pattern indicating abundant MET accumulation in the peripheral region, central pattern denoting abundant MET accumulation in the central region, and dynamic-up suggesting increased MET accumulation during dynamic study. The analysis was conducted on sets of two of the five brain lesions.
Significant differences in the five diagnostic traits were observed among the five brain lesions, and differential diagnosis could be achieved by combining these diagnostic features. The area under the curve between each set of two of the five brain lesions using MET-PET features ranged from .85 to 1.0.
According to the findings, combining the five diagnostic criteria could help with the differential diagnosis of the five brain lesions. MET-PET is an auxiliary diagnostic technique that could help in distinguishing these five brain lesions.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>37246342</pmid><doi>10.1111/jon.13126</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-6836-989X</orcidid></addata></record> |
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subjects | Accumulation Brain Brain cancer Brain tumors Computed tomography Diagnosis Differential diagnosis Gadolinium Glioblastoma Lesions Lymphoma Magnetic resonance imaging Metastases Methionine Multiple sclerosis Necrosis Neuroimaging Positron emission |
title | Methionine-PET to differentiate between brain lesions appearing similar on conventional CT/MRI scans |
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