Use of Diffusion Weighted Imaging in Differentiating Between Maligant and Benign Meningiomas. A Multicenter Analysis
Background Meningioma is the most frequent intracranial tumor and is often an incidental finding on imaging. Some imaging-based scores were suggested for differentiating low- and high-grade meningiomas. The purpose of this work was to compare diffusion-weighted imaging findings of different meningio...
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| Veröffentlicht in: | World neurosurgery 2016-04, Vol.88, p.598-602 |
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| description | Background Meningioma is the most frequent intracranial tumor and is often an incidental finding on imaging. Some imaging-based scores were suggested for differentiating low- and high-grade meningiomas. The purpose of this work was to compare diffusion-weighted imaging findings of different meningiomas in a large multicenter study by using apparent diffusion coefficient (ADC) values for predicting tumor grade and proliferation potential. Methods Data from 7 radiologic departments were acquired retrospectively. Overall, 389 patients were collected. All meningiomas were investigated by magnetic resonance imaging (1.5-T scanner) by using diffusion-weighted imaging (b values of 0 and 1000 s/mm2 ). The comparison of ADC values was performed by Mann-Whitney U test. Results World Health Organization grade I was diagnosed in 271 cases (69.7%), grade II in 103 (26.5%), and grade III in 15 patients (3.9%). Grade I meningiomas showed statistically significant higher ADC values (1.05 ± 0.39 × 10−3 mm2 s−1 ) in comparison with grade II (0.77 ± 0.15 × 10−3 mm2 s−1 ; P = 0.001) and grade III tumors (0.79 ± 0.21 × 10−3 mm2 s−1 ; P = 0.01). An ADC value of |
| doi_str_mv | 10.1016/j.wneu.2015.10.049 |
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A Multicenter Analysis</title><source>MEDLINE</source><source>ScienceDirect Journals (5 years ago - present)</source><creator>Surov, Alexey ; Ginat, Daniel T ; Sanverdi, Eser ; Lim, C.C. Tchoyoson ; Hakyemez, Bahattin ; Yogi, Akira ; Cabada, Teresa ; Wienke, Andreas</creator><creatorcontrib>Surov, Alexey ; Ginat, Daniel T ; Sanverdi, Eser ; Lim, C.C. Tchoyoson ; Hakyemez, Bahattin ; Yogi, Akira ; Cabada, Teresa ; Wienke, Andreas</creatorcontrib><description>Background Meningioma is the most frequent intracranial tumor and is often an incidental finding on imaging. Some imaging-based scores were suggested for differentiating low- and high-grade meningiomas. The purpose of this work was to compare diffusion-weighted imaging findings of different meningiomas in a large multicenter study by using apparent diffusion coefficient (ADC) values for predicting tumor grade and proliferation potential. Methods Data from 7 radiologic departments were acquired retrospectively. Overall, 389 patients were collected. All meningiomas were investigated by magnetic resonance imaging (1.5-T scanner) by using diffusion-weighted imaging (b values of 0 and 1000 s/mm2 ). The comparison of ADC values was performed by Mann-Whitney U test. Results World Health Organization grade I was diagnosed in 271 cases (69.7%), grade II in 103 (26.5%), and grade III in 15 patients (3.9%). Grade I meningiomas showed statistically significant higher ADC values (1.05 ± 0.39 × 10−3 mm2 s−1 ) in comparison with grade II (0.77 ± 0.15 × 10−3 mm2 s−1 ; P = 0.001) and grade III tumors (0.79 ± 0.21 × 10−3 mm2 s−1 ; P = 0.01). An ADC value of <0.85 × 10−3 mm2 s−1 was determined as the threshold in differentiating between grade I and grade II/III meningiomas (sensitivity, 72.9%; specificity, 73.1%; accuracy, 73.0%). Ki67 was associated with ADC (r = -0.63, P < 0.001). The optimal threshold for the ADC was (less than) 0.85 × 10−3 mm2 s−1 for detecting tumors with high proliferation potential (Ki67 ≥5%). Conclusions The estimated threshold ADC value of 0.85 can differentiate grade I meningioma from grade II and III tumors. The same ADC value is helpful for detecting tumors with high proliferation potential.</description><identifier>ISSN: 1878-8750</identifier><identifier>EISSN: 1878-8769</identifier><identifier>DOI: 10.1016/j.wneu.2015.10.049</identifier><identifier>PMID: 26529294</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Brain Neoplasms - pathology ; Child ; Child, Preschool ; Diagnosis, Differential ; Diffusion Magnetic Resonance Imaging - methods ; DWI ; Female ; Humans ; Image Interpretation, Computer-Assisted - methods ; Internationality ; Male ; Meningeal Neoplasms - pathology ; Meningioma ; Meningioma - pathology ; Middle Aged ; MRI ; Neoplasm Grading ; Neoplasm Invasiveness ; Neurosurgery ; Reproducibility of Results ; Sensitivity and Specificity ; Young Adult</subject><ispartof>World neurosurgery, 2016-04, Vol.88, p.598-602</ispartof><rights>Elsevier Inc.</rights><rights>2016 Elsevier Inc.</rights><rights>Copyright © 2016 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c477t-ecfdf47c28e4949a3a42612dd8fe40ef5536774938578ef607f557e44b43df133</citedby><cites>FETCH-LOGICAL-c477t-ecfdf47c28e4949a3a42612dd8fe40ef5536774938578ef607f557e44b43df133</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1878875015013935$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26529294$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Surov, Alexey</creatorcontrib><creatorcontrib>Ginat, Daniel T</creatorcontrib><creatorcontrib>Sanverdi, Eser</creatorcontrib><creatorcontrib>Lim, C.C. Tchoyoson</creatorcontrib><creatorcontrib>Hakyemez, Bahattin</creatorcontrib><creatorcontrib>Yogi, Akira</creatorcontrib><creatorcontrib>Cabada, Teresa</creatorcontrib><creatorcontrib>Wienke, Andreas</creatorcontrib><title>Use of Diffusion Weighted Imaging in Differentiating Between Maligant and Benign Meningiomas. A Multicenter Analysis</title><title>World neurosurgery</title><addtitle>World Neurosurg</addtitle><description>Background Meningioma is the most frequent intracranial tumor and is often an incidental finding on imaging. Some imaging-based scores were suggested for differentiating low- and high-grade meningiomas. The purpose of this work was to compare diffusion-weighted imaging findings of different meningiomas in a large multicenter study by using apparent diffusion coefficient (ADC) values for predicting tumor grade and proliferation potential. Methods Data from 7 radiologic departments were acquired retrospectively. Overall, 389 patients were collected. All meningiomas were investigated by magnetic resonance imaging (1.5-T scanner) by using diffusion-weighted imaging (b values of 0 and 1000 s/mm2 ). The comparison of ADC values was performed by Mann-Whitney U test. Results World Health Organization grade I was diagnosed in 271 cases (69.7%), grade II in 103 (26.5%), and grade III in 15 patients (3.9%). Grade I meningiomas showed statistically significant higher ADC values (1.05 ± 0.39 × 10−3 mm2 s−1 ) in comparison with grade II (0.77 ± 0.15 × 10−3 mm2 s−1 ; P = 0.001) and grade III tumors (0.79 ± 0.21 × 10−3 mm2 s−1 ; P = 0.01). An ADC value of <0.85 × 10−3 mm2 s−1 was determined as the threshold in differentiating between grade I and grade II/III meningiomas (sensitivity, 72.9%; specificity, 73.1%; accuracy, 73.0%). Ki67 was associated with ADC (r = -0.63, P < 0.001). The optimal threshold for the ADC was (less than) 0.85 × 10−3 mm2 s−1 for detecting tumors with high proliferation potential (Ki67 ≥5%). Conclusions The estimated threshold ADC value of 0.85 can differentiate grade I meningioma from grade II and III tumors. The same ADC value is helpful for detecting tumors with high proliferation potential.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Brain Neoplasms - pathology</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Diagnosis, Differential</subject><subject>Diffusion Magnetic Resonance Imaging - methods</subject><subject>DWI</subject><subject>Female</subject><subject>Humans</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Internationality</subject><subject>Male</subject><subject>Meningeal Neoplasms - pathology</subject><subject>Meningioma</subject><subject>Meningioma - pathology</subject><subject>Middle Aged</subject><subject>MRI</subject><subject>Neoplasm Grading</subject><subject>Neoplasm Invasiveness</subject><subject>Neurosurgery</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Young Adult</subject><issn>1878-8750</issn><issn>1878-8769</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUFv1DAQhS0EolXpH-CAfOSyqR3bcSIhpKVQqNSKA1QcLdcZh1kSp9gO1f57HLb0wAHL0ljP74003xDykrOKM96c7ar7AEtVM66KUDHZPSHHvNXtptVN9_TxrdgROU1px8oRXLZaPCdHdaPqru7kMck3Cejs6Xv0fkk4B_oNcPieoaeXkx0wDBTDn1-IEDLavErvIN8DBHptRxxsyNSGvogBh6KVEgacJ5squqXXy5jRlShEug123CdML8gzb8cEpw_1hNxcfPh6_mlz9fnj5fn2auOk1nkDzvdeale3IDvZWWFl3fC671sPkoFXSjRay060SrfgG6aLpEHKWyl6z4U4Ia8Pfe_i_HOBlM2EycE42gDzkgzXLVdCqYYVa32wujinFMGbu4iTjXvDmVmBm51ZgZsV-KoV4CX06qH_cjtB_xj5i7cY3hwMUKb8hRBNcgjBQY8RXDb9jP_v__afuBsxoLPjD9hD2s1LLETLHCbVhpkv68rXjfNyRSeU-A2mU6bg</recordid><startdate>20160401</startdate><enddate>20160401</enddate><creator>Surov, Alexey</creator><creator>Ginat, Daniel T</creator><creator>Sanverdi, Eser</creator><creator>Lim, C.C. Tchoyoson</creator><creator>Hakyemez, Bahattin</creator><creator>Yogi, Akira</creator><creator>Cabada, Teresa</creator><creator>Wienke, Andreas</creator><general>Elsevier Inc</general><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>7X8</scope></search><sort><creationdate>20160401</creationdate><title>Use of Diffusion Weighted Imaging in Differentiating Between Maligant and Benign Meningiomas. A Multicenter Analysis</title><author>Surov, Alexey ; Ginat, Daniel T ; Sanverdi, Eser ; Lim, C.C. Tchoyoson ; Hakyemez, Bahattin ; Yogi, Akira ; Cabada, Teresa ; Wienke, Andreas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c477t-ecfdf47c28e4949a3a42612dd8fe40ef5536774938578ef607f557e44b43df133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Brain Neoplasms - pathology</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Diagnosis, Differential</topic><topic>Diffusion Magnetic Resonance Imaging - methods</topic><topic>DWI</topic><topic>Female</topic><topic>Humans</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Internationality</topic><topic>Male</topic><topic>Meningeal Neoplasms - pathology</topic><topic>Meningioma</topic><topic>Meningioma - pathology</topic><topic>Middle Aged</topic><topic>MRI</topic><topic>Neoplasm Grading</topic><topic>Neoplasm Invasiveness</topic><topic>Neurosurgery</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Surov, Alexey</creatorcontrib><creatorcontrib>Ginat, Daniel T</creatorcontrib><creatorcontrib>Sanverdi, Eser</creatorcontrib><creatorcontrib>Lim, C.C. Tchoyoson</creatorcontrib><creatorcontrib>Hakyemez, Bahattin</creatorcontrib><creatorcontrib>Yogi, Akira</creatorcontrib><creatorcontrib>Cabada, Teresa</creatorcontrib><creatorcontrib>Wienke, Andreas</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>World neurosurgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Surov, Alexey</au><au>Ginat, Daniel T</au><au>Sanverdi, Eser</au><au>Lim, C.C. Tchoyoson</au><au>Hakyemez, Bahattin</au><au>Yogi, Akira</au><au>Cabada, Teresa</au><au>Wienke, Andreas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Use of Diffusion Weighted Imaging in Differentiating Between Maligant and Benign Meningiomas. A Multicenter Analysis</atitle><jtitle>World neurosurgery</jtitle><addtitle>World Neurosurg</addtitle><date>2016-04-01</date><risdate>2016</risdate><volume>88</volume><spage>598</spage><epage>602</epage><pages>598-602</pages><issn>1878-8750</issn><eissn>1878-8769</eissn><abstract>Background Meningioma is the most frequent intracranial tumor and is often an incidental finding on imaging. Some imaging-based scores were suggested for differentiating low- and high-grade meningiomas. The purpose of this work was to compare diffusion-weighted imaging findings of different meningiomas in a large multicenter study by using apparent diffusion coefficient (ADC) values for predicting tumor grade and proliferation potential. Methods Data from 7 radiologic departments were acquired retrospectively. Overall, 389 patients were collected. All meningiomas were investigated by magnetic resonance imaging (1.5-T scanner) by using diffusion-weighted imaging (b values of 0 and 1000 s/mm2 ). The comparison of ADC values was performed by Mann-Whitney U test. Results World Health Organization grade I was diagnosed in 271 cases (69.7%), grade II in 103 (26.5%), and grade III in 15 patients (3.9%). Grade I meningiomas showed statistically significant higher ADC values (1.05 ± 0.39 × 10−3 mm2 s−1 ) in comparison with grade II (0.77 ± 0.15 × 10−3 mm2 s−1 ; P = 0.001) and grade III tumors (0.79 ± 0.21 × 10−3 mm2 s−1 ; P = 0.01). An ADC value of <0.85 × 10−3 mm2 s−1 was determined as the threshold in differentiating between grade I and grade II/III meningiomas (sensitivity, 72.9%; specificity, 73.1%; accuracy, 73.0%). Ki67 was associated with ADC (r = -0.63, P < 0.001). The optimal threshold for the ADC was (less than) 0.85 × 10−3 mm2 s−1 for detecting tumors with high proliferation potential (Ki67 ≥5%). Conclusions The estimated threshold ADC value of 0.85 can differentiate grade I meningioma from grade II and III tumors. The same ADC value is helpful for detecting tumors with high proliferation potential.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>26529294</pmid><doi>10.1016/j.wneu.2015.10.049</doi><tpages>5</tpages></addata></record> |
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| subjects | Adolescent Adult Aged Aged, 80 and over Brain Neoplasms - pathology Child Child, Preschool Diagnosis, Differential Diffusion Magnetic Resonance Imaging - methods DWI Female Humans Image Interpretation, Computer-Assisted - methods Internationality Male Meningeal Neoplasms - pathology Meningioma Meningioma - pathology Middle Aged MRI Neoplasm Grading Neoplasm Invasiveness Neurosurgery Reproducibility of Results Sensitivity and Specificity Young Adult |
| title | Use of Diffusion Weighted Imaging in Differentiating Between Maligant and Benign Meningiomas. A Multicenter Analysis |
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