Percentage signal intensity recovery: A step ahead of rCBV in DSC MR perfusion imaging for the differentiation of common neoplasms of brain
Context: Relative cerebral blood volume (rCBV) and percentage signal recovery (PSR) obtained from T2* dynamic susceptibility contrast magnetic resonance imaging are important parameters for brain tumor assessment. Aim: To study the accuracy of PSR in the differentiation of low-grade glioma, high-gra...
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description | Context: Relative cerebral blood volume (rCBV) and percentage signal recovery (PSR) obtained from T2* dynamic susceptibility contrast magnetic resonance imaging are important parameters for brain tumor assessment.
Aim: To study the accuracy of PSR in the differentiation of low-grade glioma, high-grade glioma, lymphoma, and metastases particularly in comparison to rCBV.
Settings and Design: Retrospective observational study.
Subjects and Methods: Study included pathologically confirmed cases of 10 low-grade glioma, 22 high-grade glioma, 6 lymphoma, and 12 metastases (Total 50). PSR, relative PSR (rPSR), and rCBV were calculated.
Statistical Analysis Used: Accuracy of these parameters studied statistically using analysis of variance and ROC (Receiver operating characteristic) curves.
Results: rCBV was higher in metastases (3.45 ± 2.82) and high-grade glioma (3.47 ± 1.62), whereas was low in lymphoma (1.03 ± 0.74) and low-grade glioma (1.43 ± 0.47) with P value of 0.030. PSR was low in metastases (48 ± 16.18), intermediate in glioma (73.24 ± 6.39 and 88.26 ± 6.05, high and low grade), and high in lymphoma (112.16 ± 10.57) with P value < 0.000. rPSR was higher for lymphoma (1.73 ± 0.57) than high-grade glioma (0.85 ± 0.11) and metastasis (0.69 ± 0.19) with P value |
doi_str_mv | 10.4103/ijc.IJC_421_18 |
format | Article |
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Aim: To study the accuracy of PSR in the differentiation of low-grade glioma, high-grade glioma, lymphoma, and metastases particularly in comparison to rCBV.
Settings and Design: Retrospective observational study.
Subjects and Methods: Study included pathologically confirmed cases of 10 low-grade glioma, 22 high-grade glioma, 6 lymphoma, and 12 metastases (Total 50). PSR, relative PSR (rPSR), and rCBV were calculated.
Statistical Analysis Used: Accuracy of these parameters studied statistically using analysis of variance and ROC (Receiver operating characteristic) curves.
Results: rCBV was higher in metastases (3.45 ± 2.82) and high-grade glioma (3.47 ± 1.62), whereas was low in lymphoma (1.03 ± 0.74) and low-grade glioma (1.43 ± 0.47) with P value of 0.030. PSR was low in metastases (48 ± 16.18), intermediate in glioma (73.24 ± 6.39 and 88.26 ± 6.05, high and low grade), and high in lymphoma (112.16 ± 10.57) with P value < 0.000. rPSR was higher for lymphoma (1.73 ± 0.57) than high-grade glioma (0.85 ± 0.11) and metastasis (0.69 ± 0.19) with P value <.000. Area under ROC for PSR was greater than rCBV in differentiating metastases from lymphoma (1.00 vs 0.13), high-grade glioma from lymphoma (1.00 vs 0.38), high-grade glioma from metastases (0.89 vs 0.58), and high-grade glioma from low-grade glioma (0.96 vs 0.03) with excellent curve characteristics. F values for PSR and rPSR from ANOVA analysis were 71.47 and 36.77, was better than rCBV (3.84) in differentiating these groups.
Conclusions: Percentage of signal recovery shows low recovery values in metastases, intermediate recovery values in glioma, and overshoot in lymphoma. PSR values show lower overlap than rCBV between lymphoma and metastases; and between high grade glioma and metastases. PSR difference is also higher than rCBV between low- and high-grade gliomas. Hence, PSR can potentially help as an additional perfusion parameter in the preoperative differentiation of these tumors.</description><identifier>ISSN: 0019-509X</identifier><identifier>EISSN: 1998-4774</identifier><identifier>DOI: 10.4103/ijc.IJC_421_18</identifier><identifier>PMID: 31898591</identifier><language>eng</language><publisher>India: Wolters Kluwer India Pvt. Ltd</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Blood ; Brain cancer ; Brain Neoplasms - diagnostic imaging ; Brain Neoplasms - pathology ; Brain tumors ; Cerebral Blood Volume - physiology ; Female ; Glioma ; Gliomas ; Hemodynamics ; Humans ; Lymphoma ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Metastasis ; Middle Aged ; Non-Hodgkin's lymphomas ; Perfusion Imaging - methods ; Permeability ; Software packages ; Statistical analysis ; Tumors</subject><ispartof>Indian journal of cancer, 2020-01, Vol.57 (1), p.36-43</ispartof><rights>COPYRIGHT 2020 Medknow Publications and Media Pvt. Ltd.</rights><rights>2020. This work is published under https://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c515a-35978af3e030b31e67e84db0267d1712fb517b10b55d45a14fdc4fc215d56e3d3</citedby><cites>FETCH-LOGICAL-c515a-35978af3e030b31e67e84db0267d1712fb517b10b55d45a14fdc4fc215d56e3d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4022,27457,27922,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31898591$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Surendra, K</creatorcontrib><creatorcontrib>Patwari, Sriram</creatorcontrib><creatorcontrib>Agrawal, Shishir</creatorcontrib><creatorcontrib>Chadaga, Harsha</creatorcontrib><creatorcontrib>Nagadi, Anita</creatorcontrib><title>Percentage signal intensity recovery: A step ahead of rCBV in DSC MR perfusion imaging for the differentiation of common neoplasms of brain</title><title>Indian journal of cancer</title><addtitle>Indian J Cancer</addtitle><description>Context: Relative cerebral blood volume (rCBV) and percentage signal recovery (PSR) obtained from T2* dynamic susceptibility contrast magnetic resonance imaging are important parameters for brain tumor assessment.
Aim: To study the accuracy of PSR in the differentiation of low-grade glioma, high-grade glioma, lymphoma, and metastases particularly in comparison to rCBV.
Settings and Design: Retrospective observational study.
Subjects and Methods: Study included pathologically confirmed cases of 10 low-grade glioma, 22 high-grade glioma, 6 lymphoma, and 12 metastases (Total 50). PSR, relative PSR (rPSR), and rCBV were calculated.
Statistical Analysis Used: Accuracy of these parameters studied statistically using analysis of variance and ROC (Receiver operating characteristic) curves.
Results: rCBV was higher in metastases (3.45 ± 2.82) and high-grade glioma (3.47 ± 1.62), whereas was low in lymphoma (1.03 ± 0.74) and low-grade glioma (1.43 ± 0.47) with P value of 0.030. PSR was low in metastases (48 ± 16.18), intermediate in glioma (73.24 ± 6.39 and 88.26 ± 6.05, high and low grade), and high in lymphoma (112.16 ± 10.57) with P value < 0.000. rPSR was higher for lymphoma (1.73 ± 0.57) than high-grade glioma (0.85 ± 0.11) and metastasis (0.69 ± 0.19) with P value <.000. Area under ROC for PSR was greater than rCBV in differentiating metastases from lymphoma (1.00 vs 0.13), high-grade glioma from lymphoma (1.00 vs 0.38), high-grade glioma from metastases (0.89 vs 0.58), and high-grade glioma from low-grade glioma (0.96 vs 0.03) with excellent curve characteristics. F values for PSR and rPSR from ANOVA analysis were 71.47 and 36.77, was better than rCBV (3.84) in differentiating these groups.
Conclusions: Percentage of signal recovery shows low recovery values in metastases, intermediate recovery values in glioma, and overshoot in lymphoma. PSR values show lower overlap than rCBV between lymphoma and metastases; and between high grade glioma and metastases. PSR difference is also higher than rCBV between low- and high-grade gliomas. Hence, PSR can potentially help as an additional perfusion parameter in the preoperative differentiation of these tumors.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Blood</subject><subject>Brain cancer</subject><subject>Brain Neoplasms - diagnostic imaging</subject><subject>Brain Neoplasms - pathology</subject><subject>Brain tumors</subject><subject>Cerebral Blood Volume - physiology</subject><subject>Female</subject><subject>Glioma</subject><subject>Gliomas</subject><subject>Hemodynamics</subject><subject>Humans</subject><subject>Lymphoma</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Metastasis</subject><subject>Middle Aged</subject><subject>Non-Hodgkin's lymphomas</subject><subject>Perfusion Imaging - methods</subject><subject>Permeability</subject><subject>Software packages</subject><subject>Statistical analysis</subject><subject>Tumors</subject><issn>0019-509X</issn><issn>1998-4774</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kkuPFCEUhStG47SjW5eGxMRdtVBAPdyYtnyNGaPxFXeEgks1PVXQQpWd_g3-aenMjKNJGxaQy3fODZeTZQ8JXjKC6VO7Ucuzd61gBRGkvpUtSNPUOasqdjtbYEyanOPm-0l2L8YNxgUtWH03O6GkbmrekEX26yMEBW6SPaBoeycHZN0ELtppjwIo_xPC_hlaoTjBFsk1SI28QaF98S2B6OXnFr3_hLYQzBytd8iOsreuR8YHNK0BaWsMhNTAyulwn7TKj2M6OfDbQcYxHmpdkNbdz-4YOUR4cLWfZl9fv_rSvs3PP7w5a1fnueKEy5zypqqloYAp7iiBsoKa6Q4XZaVJRQrTcVJ1BHeca8YlYUYrZlRBuOYlUE1Ps8eXvtvgf8wQJ7Hxc0hPj6KgFS5qxjm9oXo5gLDO-ClINdqoxKokJS44IU2i8iNUDw6CHLwDY1P5H355hE9Lw2jVUcGTvwRp_sO0jn6YD9OMR51V8DEGMGIb0m-EvSBYHLIiUlbETVaS4NHVGOZuBP0Hvw5HAp5fAjs_TBDixTDvIIjEXji_-4-toKW4zhT9DexlzpI</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Surendra, K</creator><creator>Patwari, Sriram</creator><creator>Agrawal, Shishir</creator><creator>Chadaga, Harsha</creator><creator>Nagadi, Anita</creator><general>Wolters Kluwer India Pvt. 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Nagadi, Anita</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c515a-35978af3e030b31e67e84db0267d1712fb517b10b55d45a14fdc4fc215d56e3d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Blood</topic><topic>Brain cancer</topic><topic>Brain Neoplasms - diagnostic imaging</topic><topic>Brain Neoplasms - pathology</topic><topic>Brain tumors</topic><topic>Cerebral Blood Volume - physiology</topic><topic>Female</topic><topic>Glioma</topic><topic>Gliomas</topic><topic>Hemodynamics</topic><topic>Humans</topic><topic>Lymphoma</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Metastasis</topic><topic>Middle Aged</topic><topic>Non-Hodgkin's lymphomas</topic><topic>Perfusion Imaging - methods</topic><topic>Permeability</topic><topic>Software packages</topic><topic>Statistical analysis</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Surendra, K</creatorcontrib><creatorcontrib>Patwari, Sriram</creatorcontrib><creatorcontrib>Agrawal, Shishir</creatorcontrib><creatorcontrib>Chadaga, Harsha</creatorcontrib><creatorcontrib>Nagadi, Anita</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>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Publicly Available Content 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>ProQuest Central Basic</collection><jtitle>Indian journal of cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Surendra, K</au><au>Patwari, Sriram</au><au>Agrawal, Shishir</au><au>Chadaga, Harsha</au><au>Nagadi, Anita</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Percentage signal intensity recovery: A step ahead of rCBV in DSC MR perfusion imaging for the differentiation of common neoplasms of brain</atitle><jtitle>Indian journal of cancer</jtitle><addtitle>Indian J Cancer</addtitle><date>2020-01-01</date><risdate>2020</risdate><volume>57</volume><issue>1</issue><spage>36</spage><epage>43</epage><pages>36-43</pages><issn>0019-509X</issn><eissn>1998-4774</eissn><abstract>Context: Relative cerebral blood volume (rCBV) and percentage signal recovery (PSR) obtained from T2* dynamic susceptibility contrast magnetic resonance imaging are important parameters for brain tumor assessment.
Aim: To study the accuracy of PSR in the differentiation of low-grade glioma, high-grade glioma, lymphoma, and metastases particularly in comparison to rCBV.
Settings and Design: Retrospective observational study.
Subjects and Methods: Study included pathologically confirmed cases of 10 low-grade glioma, 22 high-grade glioma, 6 lymphoma, and 12 metastases (Total 50). PSR, relative PSR (rPSR), and rCBV were calculated.
Statistical Analysis Used: Accuracy of these parameters studied statistically using analysis of variance and ROC (Receiver operating characteristic) curves.
Results: rCBV was higher in metastases (3.45 ± 2.82) and high-grade glioma (3.47 ± 1.62), whereas was low in lymphoma (1.03 ± 0.74) and low-grade glioma (1.43 ± 0.47) with P value of 0.030. PSR was low in metastases (48 ± 16.18), intermediate in glioma (73.24 ± 6.39 and 88.26 ± 6.05, high and low grade), and high in lymphoma (112.16 ± 10.57) with P value < 0.000. rPSR was higher for lymphoma (1.73 ± 0.57) than high-grade glioma (0.85 ± 0.11) and metastasis (0.69 ± 0.19) with P value <.000. Area under ROC for PSR was greater than rCBV in differentiating metastases from lymphoma (1.00 vs 0.13), high-grade glioma from lymphoma (1.00 vs 0.38), high-grade glioma from metastases (0.89 vs 0.58), and high-grade glioma from low-grade glioma (0.96 vs 0.03) with excellent curve characteristics. F values for PSR and rPSR from ANOVA analysis were 71.47 and 36.77, was better than rCBV (3.84) in differentiating these groups.
Conclusions: Percentage of signal recovery shows low recovery values in metastases, intermediate recovery values in glioma, and overshoot in lymphoma. PSR values show lower overlap than rCBV between lymphoma and metastases; and between high grade glioma and metastases. PSR difference is also higher than rCBV between low- and high-grade gliomas. Hence, PSR can potentially help as an additional perfusion parameter in the preoperative differentiation of these tumors.</abstract><cop>India</cop><pub>Wolters Kluwer India Pvt. Ltd</pub><pmid>31898591</pmid><doi>10.4103/ijc.IJC_421_18</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Aged, 80 and over Blood Brain cancer Brain Neoplasms - diagnostic imaging Brain Neoplasms - pathology Brain tumors Cerebral Blood Volume - physiology Female Glioma Gliomas Hemodynamics Humans Lymphoma Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Metastasis Middle Aged Non-Hodgkin's lymphomas Perfusion Imaging - methods Permeability Software packages Statistical analysis Tumors |
title | Percentage signal intensity recovery: A step ahead of rCBV in DSC MR perfusion imaging for the differentiation of common neoplasms of brain |
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