Role of Perfusion CT in Glioma Grading and Comparison with Conventional MR Imaging Features
Perfusion imaging using CT can provide additional information about tumor vascularity and angiogenesis for characterizing gliomas. The purpose of our study was to demonstrate the usefulness of various perfusion CT (PCT) parameters in assessing the grade of treatment-naïve gliomas and also to compare...
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| Veröffentlicht in: | American journal of neuroradiology : AJNR 2007-11, Vol.28 (10), p.1981-1987 |
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| container_title | American journal of neuroradiology : AJNR |
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| creator | Ellika, S.K Jain, R Patel, S.C Scarpace, L Schultz, L.R Rock, J.P Mikkelsen, T |
| description | Perfusion imaging using CT can provide additional information about tumor vascularity and angiogenesis for characterizing gliomas. The purpose of our study was to demonstrate the usefulness of various perfusion CT (PCT) parameters in assessing the grade of treatment-naïve gliomas and also to compare it with conventional MR imaging features.
PCT was performed in 19 patients with glioma (14 high-grade gliomas and 5 low-grade gliomas). Normalized ratios of the PCT parameters (normalized cerebral blood volume [nCBV], normalized cerebral blood flow [nCBF], normalized mean transit time [nMTT]) were used for final analysis. Conventional MR imaging features of these tumors were assessed separately and compared with PCT parameters. Low- and high-grade gliomas were compared by using the nonparametric Wilcoxon 2-sample tests.
Mean nCBV in the high- and low-grade gliomas was 3.06 +/- 1.35 and 1.44 +/- 0.42, respectively, with a statistically significant difference between the 2 groups (P = .005). Mean nCBF for the high- and low-grade gliomas was 3.03 +/- 2.16 and 1.16 +/- 0.36, respectively, with a statistically significant difference between the 2 groups (P = .045). Cut points of >1.92 for nCBV (85.7% sensitivity and 100% specificity), >1.48 for nCBF (71.4% sensitivity and 100% specificity), and 1.92 or nCBF of >1.48 improved the sensitivity and specificity to 92.9% and 100%, respectively. The sensitivity and specificity for diagnosing a high-grade glioma with conventional MR imaging were 85.7% and 60%, respectively.
PCT can be used for preoperative grading of gliomas and can provide valuable complementary information about tumor hemodynamics, not available with conventional imaging techniques. nCBV was the single best parameter correlating with glioma grades, though using nCBF when nCBV was 1.92 was found to identify the high-grade gliomas. |
| doi_str_mv | 10.3174/ajnr.A0688 |
| format | Article |
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PCT was performed in 19 patients with glioma (14 high-grade gliomas and 5 low-grade gliomas). Normalized ratios of the PCT parameters (normalized cerebral blood volume [nCBV], normalized cerebral blood flow [nCBF], normalized mean transit time [nMTT]) were used for final analysis. Conventional MR imaging features of these tumors were assessed separately and compared with PCT parameters. Low- and high-grade gliomas were compared by using the nonparametric Wilcoxon 2-sample tests.
Mean nCBV in the high- and low-grade gliomas was 3.06 +/- 1.35 and 1.44 +/- 0.42, respectively, with a statistically significant difference between the 2 groups (P = .005). Mean nCBF for the high- and low-grade gliomas was 3.03 +/- 2.16 and 1.16 +/- 0.36, respectively, with a statistically significant difference between the 2 groups (P = .045). Cut points of >1.92 for nCBV (85.7% sensitivity and 100% specificity), >1.48 for nCBF (71.4% sensitivity and 100% specificity), and <1.94 for nMTT (92.9% sensitivity and 40% specificity) were found to identify the high-grade gliomas. nCBV was the single best parameter; however, using either nCBV of >1.92 or nCBF of >1.48 improved the sensitivity and specificity to 92.9% and 100%, respectively. The sensitivity and specificity for diagnosing a high-grade glioma with conventional MR imaging were 85.7% and 60%, respectively.
PCT can be used for preoperative grading of gliomas and can provide valuable complementary information about tumor hemodynamics, not available with conventional imaging techniques. nCBV was the single best parameter correlating with glioma grades, though using nCBF when nCBV was <1.92 improved the sensitivity. An nCBV threshold of >1.92 was found to identify the high-grade gliomas.</description><identifier>ISSN: 0195-6108</identifier><identifier>EISSN: 1936-959X</identifier><identifier>DOI: 10.3174/ajnr.A0688</identifier><identifier>PMID: 17893216</identifier><identifier>CODEN: AAJNDL</identifier><language>eng</language><publisher>Oak Brook, IL: Am Soc Neuroradiology</publisher><subject>Adolescent ; Adult ; Aged ; Biological and medical sciences ; Blood Flow Velocity ; Blood Volume ; Brain ; Brain Neoplasms - diagnosis ; Brain Neoplasms - pathology ; Brain Neoplasms - physiopathology ; Cerebrovascular Circulation ; Contrast Media ; Electrodiagnosis. Electric activity recording ; Female ; Fundamental and applied biological sciences. Psychology ; Glioma - diagnosis ; Glioma - pathology ; Glioma - physiopathology ; Humans ; Investigative techniques, diagnostic techniques (general aspects) ; Magnetic Resonance Imaging ; Male ; Medical sciences ; Middle Aged ; Nervous system ; Radiodiagnosis. Nmr imagery. Nmr spectrometry ; Sensitivity and Specificity ; Somesthesis and somesthetic pathways (proprioception, exteroception, nociception); interoception; electrolocation. Sensory receptors ; Tomography, X-Ray Computed ; Vertebrates: nervous system and sense organs</subject><ispartof>American journal of neuroradiology : AJNR, 2007-11, Vol.28 (10), p.1981-1987</ispartof><rights>2008 INIST-CNRS</rights><rights>Copyright © American Society of Neuroradiology 2007</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c469t-66fdf88ea8e0e28e9d7052be07b3f2b63836bd83ffc905c472bcec2be9c9f323</citedby><cites>FETCH-LOGICAL-c469t-66fdf88ea8e0e28e9d7052be07b3f2b63836bd83ffc905c472bcec2be9c9f323</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8134232/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8134232/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27922,27923,53789,53791</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=19883480$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17893216$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ellika, S.K</creatorcontrib><creatorcontrib>Jain, R</creatorcontrib><creatorcontrib>Patel, S.C</creatorcontrib><creatorcontrib>Scarpace, L</creatorcontrib><creatorcontrib>Schultz, L.R</creatorcontrib><creatorcontrib>Rock, J.P</creatorcontrib><creatorcontrib>Mikkelsen, T</creatorcontrib><title>Role of Perfusion CT in Glioma Grading and Comparison with Conventional MR Imaging Features</title><title>American journal of neuroradiology : AJNR</title><addtitle>AJNR Am J Neuroradiol</addtitle><description>Perfusion imaging using CT can provide additional information about tumor vascularity and angiogenesis for characterizing gliomas. The purpose of our study was to demonstrate the usefulness of various perfusion CT (PCT) parameters in assessing the grade of treatment-naïve gliomas and also to compare it with conventional MR imaging features.
PCT was performed in 19 patients with glioma (14 high-grade gliomas and 5 low-grade gliomas). Normalized ratios of the PCT parameters (normalized cerebral blood volume [nCBV], normalized cerebral blood flow [nCBF], normalized mean transit time [nMTT]) were used for final analysis. Conventional MR imaging features of these tumors were assessed separately and compared with PCT parameters. Low- and high-grade gliomas were compared by using the nonparametric Wilcoxon 2-sample tests.
Mean nCBV in the high- and low-grade gliomas was 3.06 +/- 1.35 and 1.44 +/- 0.42, respectively, with a statistically significant difference between the 2 groups (P = .005). Mean nCBF for the high- and low-grade gliomas was 3.03 +/- 2.16 and 1.16 +/- 0.36, respectively, with a statistically significant difference between the 2 groups (P = .045). Cut points of >1.92 for nCBV (85.7% sensitivity and 100% specificity), >1.48 for nCBF (71.4% sensitivity and 100% specificity), and <1.94 for nMTT (92.9% sensitivity and 40% specificity) were found to identify the high-grade gliomas. nCBV was the single best parameter; however, using either nCBV of >1.92 or nCBF of >1.48 improved the sensitivity and specificity to 92.9% and 100%, respectively. The sensitivity and specificity for diagnosing a high-grade glioma with conventional MR imaging were 85.7% and 60%, respectively.
PCT can be used for preoperative grading of gliomas and can provide valuable complementary information about tumor hemodynamics, not available with conventional imaging techniques. nCBV was the single best parameter correlating with glioma grades, though using nCBF when nCBV was <1.92 improved the sensitivity. An nCBV threshold of >1.92 was found to identify the high-grade gliomas.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Blood Flow Velocity</subject><subject>Blood Volume</subject><subject>Brain</subject><subject>Brain Neoplasms - diagnosis</subject><subject>Brain Neoplasms - pathology</subject><subject>Brain Neoplasms - physiopathology</subject><subject>Cerebrovascular Circulation</subject><subject>Contrast Media</subject><subject>Electrodiagnosis. Electric activity recording</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Glioma - diagnosis</subject><subject>Glioma - pathology</subject><subject>Glioma - physiopathology</subject><subject>Humans</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Nervous system</subject><subject>Radiodiagnosis. Nmr imagery. Nmr spectrometry</subject><subject>Sensitivity and Specificity</subject><subject>Somesthesis and somesthetic pathways (proprioception, exteroception, nociception); interoception; electrolocation. Sensory receptors</subject><subject>Tomography, X-Ray Computed</subject><subject>Vertebrates: nervous system and sense organs</subject><issn>0195-6108</issn><issn>1936-959X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqF0U9rFDEABfAgit1WL34AyUULwtT8mckkF6Esdi1UlLIHwUPIZJLdlEyyTWY6-O3NdherJ09DmF9eHjwA3mB0QXFbf1R3IV1cIsb5M7DAgrJKNOLHc7BAWDQVw4ifgNOc7xBCjWjJS3CCWy4owWwBft5Gb2C08LtJdsouBrhcQxfgyrs4KLhKqndhA1Xo4TIOO5VcLmZ247acw4MJY7mjPPx6C68HtdnbK6PGKZn8Crywymfz-vg9A-urz-vll-rm2-p6eXlT6ZqJsWLM9pZzo7hBhnAj-hY1pDOo7aglHaOcsq7n1FotUKPrlnTa6AKEFpYSegY-HWJ3UzeYXpdKSXm5S25Q6ZeMysl__wS3lZv4IDmmNXkMeH8MSPF-MnmUg8vaeK-CiVOWjDcII0r_C0npTXCLC_xwgDrFnJOxf9pgJPebyf1m8nGzgt_-3f-JHkcq4N0RqKyVt0kF7fKTEyWk5qi484Pbus12dsnIPCjvSyyW8zwTvn-9aEx_A52Wrow</recordid><startdate>20071101</startdate><enddate>20071101</enddate><creator>Ellika, S.K</creator><creator>Jain, R</creator><creator>Patel, S.C</creator><creator>Scarpace, L</creator><creator>Schultz, L.R</creator><creator>Rock, J.P</creator><creator>Mikkelsen, T</creator><general>Am Soc Neuroradiology</general><general>American Society of Neuroradiology</general><scope>IQODW</scope><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>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20071101</creationdate><title>Role of Perfusion CT in Glioma Grading and Comparison with Conventional MR Imaging Features</title><author>Ellika, S.K ; Jain, R ; Patel, S.C ; Scarpace, L ; Schultz, L.R ; Rock, J.P ; Mikkelsen, T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c469t-66fdf88ea8e0e28e9d7052be07b3f2b63836bd83ffc905c472bcec2be9c9f323</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Blood Flow Velocity</topic><topic>Blood Volume</topic><topic>Brain</topic><topic>Brain Neoplasms - diagnosis</topic><topic>Brain Neoplasms - pathology</topic><topic>Brain Neoplasms - physiopathology</topic><topic>Cerebrovascular Circulation</topic><topic>Contrast Media</topic><topic>Electrodiagnosis. Electric activity recording</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Glioma - diagnosis</topic><topic>Glioma - pathology</topic><topic>Glioma - physiopathology</topic><topic>Humans</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Nervous system</topic><topic>Radiodiagnosis. Nmr imagery. Nmr spectrometry</topic><topic>Sensitivity and Specificity</topic><topic>Somesthesis and somesthetic pathways (proprioception, exteroception, nociception); interoception; electrolocation. Sensory receptors</topic><topic>Tomography, X-Ray Computed</topic><topic>Vertebrates: nervous system and sense organs</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ellika, S.K</creatorcontrib><creatorcontrib>Jain, R</creatorcontrib><creatorcontrib>Patel, S.C</creatorcontrib><creatorcontrib>Scarpace, L</creatorcontrib><creatorcontrib>Schultz, L.R</creatorcontrib><creatorcontrib>Rock, J.P</creatorcontrib><creatorcontrib>Mikkelsen, T</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>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>American journal of neuroradiology : AJNR</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ellika, S.K</au><au>Jain, R</au><au>Patel, S.C</au><au>Scarpace, L</au><au>Schultz, L.R</au><au>Rock, J.P</au><au>Mikkelsen, T</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Role of Perfusion CT in Glioma Grading and Comparison with Conventional MR Imaging Features</atitle><jtitle>American journal of neuroradiology : AJNR</jtitle><addtitle>AJNR Am J Neuroradiol</addtitle><date>2007-11-01</date><risdate>2007</risdate><volume>28</volume><issue>10</issue><spage>1981</spage><epage>1987</epage><pages>1981-1987</pages><issn>0195-6108</issn><eissn>1936-959X</eissn><coden>AAJNDL</coden><abstract>Perfusion imaging using CT can provide additional information about tumor vascularity and angiogenesis for characterizing gliomas. The purpose of our study was to demonstrate the usefulness of various perfusion CT (PCT) parameters in assessing the grade of treatment-naïve gliomas and also to compare it with conventional MR imaging features.
PCT was performed in 19 patients with glioma (14 high-grade gliomas and 5 low-grade gliomas). Normalized ratios of the PCT parameters (normalized cerebral blood volume [nCBV], normalized cerebral blood flow [nCBF], normalized mean transit time [nMTT]) were used for final analysis. Conventional MR imaging features of these tumors were assessed separately and compared with PCT parameters. Low- and high-grade gliomas were compared by using the nonparametric Wilcoxon 2-sample tests.
Mean nCBV in the high- and low-grade gliomas was 3.06 +/- 1.35 and 1.44 +/- 0.42, respectively, with a statistically significant difference between the 2 groups (P = .005). Mean nCBF for the high- and low-grade gliomas was 3.03 +/- 2.16 and 1.16 +/- 0.36, respectively, with a statistically significant difference between the 2 groups (P = .045). Cut points of >1.92 for nCBV (85.7% sensitivity and 100% specificity), >1.48 for nCBF (71.4% sensitivity and 100% specificity), and <1.94 for nMTT (92.9% sensitivity and 40% specificity) were found to identify the high-grade gliomas. nCBV was the single best parameter; however, using either nCBV of >1.92 or nCBF of >1.48 improved the sensitivity and specificity to 92.9% and 100%, respectively. The sensitivity and specificity for diagnosing a high-grade glioma with conventional MR imaging were 85.7% and 60%, respectively.
PCT can be used for preoperative grading of gliomas and can provide valuable complementary information about tumor hemodynamics, not available with conventional imaging techniques. nCBV was the single best parameter correlating with glioma grades, though using nCBF when nCBV was <1.92 improved the sensitivity. An nCBV threshold of >1.92 was found to identify the high-grade gliomas.</abstract><cop>Oak Brook, IL</cop><pub>Am Soc Neuroradiology</pub><pmid>17893216</pmid><doi>10.3174/ajnr.A0688</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | American journal of neuroradiology : AJNR, 2007-11, Vol.28 (10), p.1981-1987 |
| issn | 0195-6108 1936-959X |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
| subjects | Adolescent Adult Aged Biological and medical sciences Blood Flow Velocity Blood Volume Brain Brain Neoplasms - diagnosis Brain Neoplasms - pathology Brain Neoplasms - physiopathology Cerebrovascular Circulation Contrast Media Electrodiagnosis. Electric activity recording Female Fundamental and applied biological sciences. Psychology Glioma - diagnosis Glioma - pathology Glioma - physiopathology Humans Investigative techniques, diagnostic techniques (general aspects) Magnetic Resonance Imaging Male Medical sciences Middle Aged Nervous system Radiodiagnosis. Nmr imagery. Nmr spectrometry Sensitivity and Specificity Somesthesis and somesthetic pathways (proprioception, exteroception, nociception) interoception electrolocation. Sensory receptors Tomography, X-Ray Computed Vertebrates: nervous system and sense organs |
| title | Role of Perfusion CT in Glioma Grading and Comparison with Conventional MR Imaging Features |
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