Identification of prognostic markers in bone sarcomas using proton-decoupled phosphorus magnetic resonance spectroscopy
It has been hypothesized that the (31)Phosphorus ((31)P) nuclear magnetic resonance spectrum from certain tumors may provide prognostic information. The goal of the present study was to identify prognostic metabolic markers by using proton-decoupled phosphorus magnetic resonance spectroscopic imagin...
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Veröffentlicht in: | Cancer research (Chicago, Ill.) Ill.), 2003-12, Vol.63 (24), p.9042-9047 |
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description | It has been hypothesized that the (31)Phosphorus ((31)P) nuclear magnetic resonance spectrum from certain tumors may provide prognostic information. The goal of the present study was to identify prognostic metabolic markers by using proton-decoupled phosphorus magnetic resonance spectroscopic imaging ((31)P MRSI). Twenty patients with bone [osteogenic (OS) and Ewing's (ES) and/or primitive neuroectodermal tumor (PNET)] sarcoma, treated with chemotherapy and surgery or with chemotherapy alone, underwent (31)P MRSI studies pre- and post-therapy. The studies were performed on a 1.5 Tesla General Electric (GE) clinical scanner equipped with a stand-alone proton decoupler and a dual (1)H/(31)P surface coil pair. The limited sensitivity of the (31)P nucleus required that a large soft tissue component of the disease be located within 10 cm (maximum distance) of the body surface and the use of a highly sensitive coil placed near the skin surface. Proton decoupling and nuclear Overhauser enhancement were used to improve the spectral resolution and signal:noise ratio. Baseline (31)P spectral features and metabolic changes with treatment were compared with treatment outcome. The patients were categorized depending on survival as event-free survivors or those who died. The pretreatment nucleoside triphosphate:inorganic phosphate (NTP:P(i)) ratio, an index of tumor bioenergetic status, was significant (P = 0.003) in differentiating event-free survivors versus those who died. The pretreatment NTP:P(i) was higher in patients who were destined to undergo a durable event-free survival compared with those who died. The results are promising, although a prospective study is necessary for confirmation. (31)P MRSI appears to be a useful tool for the prediction of survival before therapy in bone sarcomas. |
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The goal of the present study was to identify prognostic metabolic markers by using proton-decoupled phosphorus magnetic resonance spectroscopic imaging ((31)P MRSI). Twenty patients with bone [osteogenic (OS) and Ewing's (ES) and/or primitive neuroectodermal tumor (PNET)] sarcoma, treated with chemotherapy and surgery or with chemotherapy alone, underwent (31)P MRSI studies pre- and post-therapy. The studies were performed on a 1.5 Tesla General Electric (GE) clinical scanner equipped with a stand-alone proton decoupler and a dual (1)H/(31)P surface coil pair. The limited sensitivity of the (31)P nucleus required that a large soft tissue component of the disease be located within 10 cm (maximum distance) of the body surface and the use of a highly sensitive coil placed near the skin surface. Proton decoupling and nuclear Overhauser enhancement were used to improve the spectral resolution and signal:noise ratio. Baseline (31)P spectral features and metabolic changes with treatment were compared with treatment outcome. The patients were categorized depending on survival as event-free survivors or those who died. The pretreatment nucleoside triphosphate:inorganic phosphate (NTP:P(i)) ratio, an index of tumor bioenergetic status, was significant (P = 0.003) in differentiating event-free survivors versus those who died. The pretreatment NTP:P(i) was higher in patients who were destined to undergo a durable event-free survival compared with those who died. The results are promising, although a prospective study is necessary for confirmation. (31)P MRSI appears to be a useful tool for the prediction of survival before therapy in bone sarcomas.</description><identifier>ISSN: 0008-5472</identifier><identifier>EISSN: 1538-7445</identifier><identifier>PMID: 14695223</identifier><identifier>CODEN: CNREA8</identifier><language>eng</language><publisher>Philadelphia, PA: American Association for Cancer Research</publisher><subject>Adolescent ; Adult ; Antineoplastic agents ; Biological and medical sciences ; Biomarkers, Tumor - analysis ; Bone Neoplasms - chemistry ; Bone Neoplasms - metabolism ; Child ; Ethanolamines - analysis ; Ethanolamines - metabolism ; Female ; Humans ; Magnetic Resonance Spectroscopy - methods ; Male ; Medical sciences ; Middle Aged ; Nucleotides - analysis ; Nucleotides - metabolism ; Osteosarcoma - chemistry ; Osteosarcoma - metabolism ; Pharmacology. Drug treatments ; Phosphocreatine - analysis ; Phosphocreatine - metabolism ; Phosphorus ; Phosphorylcholine - analysis ; Phosphorylcholine - metabolism ; Prognosis ; Protons ; Tumors</subject><ispartof>Cancer research (Chicago, Ill.), 2003-12, Vol.63 (24), p.9042-9047</ispartof><rights>2004 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=15382657$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/14695223$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>ZAKIAN, Kristen L</creatorcontrib><creatorcontrib>SHUKLA-DAVE, Amita</creatorcontrib><creatorcontrib>MEYERS, Paul</creatorcontrib><creatorcontrib>GORLICK, Richard</creatorcontrib><creatorcontrib>HEALEY, John</creatorcontrib><creatorcontrib>THALER, Howard T</creatorcontrib><creatorcontrib>HUVOS, Andrew G</creatorcontrib><creatorcontrib>PANICEK, David M</creatorcontrib><creatorcontrib>KOUTCHER, Jason A</creatorcontrib><title>Identification of prognostic markers in bone sarcomas using proton-decoupled phosphorus magnetic resonance spectroscopy</title><title>Cancer research (Chicago, Ill.)</title><addtitle>Cancer Res</addtitle><description>It has been hypothesized that the (31)Phosphorus ((31)P) nuclear magnetic resonance spectrum from certain tumors may provide prognostic information. The goal of the present study was to identify prognostic metabolic markers by using proton-decoupled phosphorus magnetic resonance spectroscopic imaging ((31)P MRSI). Twenty patients with bone [osteogenic (OS) and Ewing's (ES) and/or primitive neuroectodermal tumor (PNET)] sarcoma, treated with chemotherapy and surgery or with chemotherapy alone, underwent (31)P MRSI studies pre- and post-therapy. The studies were performed on a 1.5 Tesla General Electric (GE) clinical scanner equipped with a stand-alone proton decoupler and a dual (1)H/(31)P surface coil pair. The limited sensitivity of the (31)P nucleus required that a large soft tissue component of the disease be located within 10 cm (maximum distance) of the body surface and the use of a highly sensitive coil placed near the skin surface. Proton decoupling and nuclear Overhauser enhancement were used to improve the spectral resolution and signal:noise ratio. Baseline (31)P spectral features and metabolic changes with treatment were compared with treatment outcome. The patients were categorized depending on survival as event-free survivors or those who died. The pretreatment nucleoside triphosphate:inorganic phosphate (NTP:P(i)) ratio, an index of tumor bioenergetic status, was significant (P = 0.003) in differentiating event-free survivors versus those who died. The pretreatment NTP:P(i) was higher in patients who were destined to undergo a durable event-free survival compared with those who died. The results are promising, although a prospective study is necessary for confirmation. (31)P MRSI appears to be a useful tool for the prediction of survival before therapy in bone sarcomas.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Antineoplastic agents</subject><subject>Biological and medical sciences</subject><subject>Biomarkers, Tumor - analysis</subject><subject>Bone Neoplasms - chemistry</subject><subject>Bone Neoplasms - metabolism</subject><subject>Child</subject><subject>Ethanolamines - analysis</subject><subject>Ethanolamines - metabolism</subject><subject>Female</subject><subject>Humans</subject><subject>Magnetic Resonance Spectroscopy - methods</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Nucleotides - analysis</subject><subject>Nucleotides - metabolism</subject><subject>Osteosarcoma - chemistry</subject><subject>Osteosarcoma - metabolism</subject><subject>Pharmacology. Drug treatments</subject><subject>Phosphocreatine - analysis</subject><subject>Phosphocreatine - metabolism</subject><subject>Phosphorus</subject><subject>Phosphorylcholine - analysis</subject><subject>Phosphorylcholine - metabolism</subject><subject>Prognosis</subject><subject>Protons</subject><subject>Tumors</subject><issn>0008-5472</issn><issn>1538-7445</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpFkEtLAzEUhYMotlb_gmSju4E857GU4qNQcKPrIZNJ2uhMMuZmkP57U6y4uFwOfOdw7zlDSyp5XVRCyHO0JITUhRQVW6ArgI8sJSXyEi2oKBvJGF-i701vfHLWaZVc8DhYPMWw8wGS03hU8dNEwM7jLniDQUUdRgV4Bud3RzIFX_RGh3kaTI-nfYA8cYZs3XlzzIgGgldeZ_dkdIoBdJgO1-jCqgHMzWmv0PvT49v6pdi-Pm_WD9tizyqaCqttqYiQTVcLYoVWneoFk43gfScErzmTVlLNWJl1TbQlvFHMWNF3XJVc8BW6_83Nt37NBlI7OtBmGJQ3YYa2oqKWTUMzeHsC5240fTtFl78_tH9VZeDuBCjQarAx_-Tgn8u9s1JW_Adq9nag</recordid><startdate>20031215</startdate><enddate>20031215</enddate><creator>ZAKIAN, Kristen L</creator><creator>SHUKLA-DAVE, Amita</creator><creator>MEYERS, Paul</creator><creator>GORLICK, Richard</creator><creator>HEALEY, John</creator><creator>THALER, Howard T</creator><creator>HUVOS, Andrew G</creator><creator>PANICEK, David M</creator><creator>KOUTCHER, Jason A</creator><general>American Association for Cancer Research</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>20031215</creationdate><title>Identification of prognostic markers in bone sarcomas using proton-decoupled phosphorus magnetic resonance spectroscopy</title><author>ZAKIAN, Kristen L ; SHUKLA-DAVE, Amita ; MEYERS, Paul ; GORLICK, Richard ; HEALEY, John ; THALER, Howard T ; HUVOS, Andrew G ; PANICEK, David M ; KOUTCHER, Jason A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-h271t-fcf6a0459b840f4cabad425943db4438325f51c226db480cf039a2ef4db3a6343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Antineoplastic agents</topic><topic>Biological and medical sciences</topic><topic>Biomarkers, Tumor - analysis</topic><topic>Bone Neoplasms - chemistry</topic><topic>Bone Neoplasms - metabolism</topic><topic>Child</topic><topic>Ethanolamines - analysis</topic><topic>Ethanolamines - metabolism</topic><topic>Female</topic><topic>Humans</topic><topic>Magnetic Resonance Spectroscopy - methods</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Nucleotides - analysis</topic><topic>Nucleotides - metabolism</topic><topic>Osteosarcoma - chemistry</topic><topic>Osteosarcoma - metabolism</topic><topic>Pharmacology. Drug treatments</topic><topic>Phosphocreatine - analysis</topic><topic>Phosphocreatine - metabolism</topic><topic>Phosphorus</topic><topic>Phosphorylcholine - analysis</topic><topic>Phosphorylcholine - metabolism</topic><topic>Prognosis</topic><topic>Protons</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>ZAKIAN, Kristen L</creatorcontrib><creatorcontrib>SHUKLA-DAVE, Amita</creatorcontrib><creatorcontrib>MEYERS, Paul</creatorcontrib><creatorcontrib>GORLICK, Richard</creatorcontrib><creatorcontrib>HEALEY, John</creatorcontrib><creatorcontrib>THALER, Howard T</creatorcontrib><creatorcontrib>HUVOS, Andrew G</creatorcontrib><creatorcontrib>PANICEK, David M</creatorcontrib><creatorcontrib>KOUTCHER, Jason A</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Cancer research (Chicago, Ill.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>ZAKIAN, Kristen L</au><au>SHUKLA-DAVE, Amita</au><au>MEYERS, Paul</au><au>GORLICK, Richard</au><au>HEALEY, John</au><au>THALER, Howard T</au><au>HUVOS, Andrew G</au><au>PANICEK, David M</au><au>KOUTCHER, Jason A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of prognostic markers in bone sarcomas using proton-decoupled phosphorus magnetic resonance spectroscopy</atitle><jtitle>Cancer research (Chicago, Ill.)</jtitle><addtitle>Cancer Res</addtitle><date>2003-12-15</date><risdate>2003</risdate><volume>63</volume><issue>24</issue><spage>9042</spage><epage>9047</epage><pages>9042-9047</pages><issn>0008-5472</issn><eissn>1538-7445</eissn><coden>CNREA8</coden><abstract>It has been hypothesized that the (31)Phosphorus ((31)P) nuclear magnetic resonance spectrum from certain tumors may provide prognostic information. The goal of the present study was to identify prognostic metabolic markers by using proton-decoupled phosphorus magnetic resonance spectroscopic imaging ((31)P MRSI). Twenty patients with bone [osteogenic (OS) and Ewing's (ES) and/or primitive neuroectodermal tumor (PNET)] sarcoma, treated with chemotherapy and surgery or with chemotherapy alone, underwent (31)P MRSI studies pre- and post-therapy. The studies were performed on a 1.5 Tesla General Electric (GE) clinical scanner equipped with a stand-alone proton decoupler and a dual (1)H/(31)P surface coil pair. The limited sensitivity of the (31)P nucleus required that a large soft tissue component of the disease be located within 10 cm (maximum distance) of the body surface and the use of a highly sensitive coil placed near the skin surface. Proton decoupling and nuclear Overhauser enhancement were used to improve the spectral resolution and signal:noise ratio. Baseline (31)P spectral features and metabolic changes with treatment were compared with treatment outcome. The patients were categorized depending on survival as event-free survivors or those who died. The pretreatment nucleoside triphosphate:inorganic phosphate (NTP:P(i)) ratio, an index of tumor bioenergetic status, was significant (P = 0.003) in differentiating event-free survivors versus those who died. The pretreatment NTP:P(i) was higher in patients who were destined to undergo a durable event-free survival compared with those who died. The results are promising, although a prospective study is necessary for confirmation. (31)P MRSI appears to be a useful tool for the prediction of survival before therapy in bone sarcomas.</abstract><cop>Philadelphia, PA</cop><pub>American Association for Cancer Research</pub><pmid>14695223</pmid><tpages>6</tpages></addata></record> |
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subjects | Adolescent Adult Antineoplastic agents Biological and medical sciences Biomarkers, Tumor - analysis Bone Neoplasms - chemistry Bone Neoplasms - metabolism Child Ethanolamines - analysis Ethanolamines - metabolism Female Humans Magnetic Resonance Spectroscopy - methods Male Medical sciences Middle Aged Nucleotides - analysis Nucleotides - metabolism Osteosarcoma - chemistry Osteosarcoma - metabolism Pharmacology. Drug treatments Phosphocreatine - analysis Phosphocreatine - metabolism Phosphorus Phosphorylcholine - analysis Phosphorylcholine - metabolism Prognosis Protons Tumors |
title | Identification of prognostic markers in bone sarcomas using proton-decoupled phosphorus magnetic resonance spectroscopy |
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