Differential MRI diagnosis between brain abscesses and necrotic or cystic brain tumors using the apparent diffusion coefficient and normalized diffusion-weighted images
Magnetic Resonance Diffusion-Weighted Imaging (DWI) has been reported to be helpful for the differential diagnosis between abscesses and cystic/necrotic brain tumors. However the number of patients is still limited, and the sensitivity and specificity of the method remain to be confirmed. The primar...
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| Veröffentlicht in: | Magnetic resonance imaging 2003-07, Vol.21 (6), p.645-650 |
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| creator | Nadal Desbarats, Lydie Herlidou, Sandra de Marco, Giovanni Gondry-Jouet, Catherine Le Gars, Daniel Deramond, Hervé Idy-Peretti, Ilana |
| description | Magnetic Resonance Diffusion-Weighted Imaging (DWI) has been reported to be helpful for the differential diagnosis between abscesses and cystic/necrotic brain tumors. However the number of patients is still limited, and the sensitivity and specificity of the method remain to be confirmed. The primary purpose of this study was to investigate a larger sample of patients, all investigated under the same experimental conditions, in order to obtain statistically significant data. Moreover, there is no consensus about the appropriate values of
b required to use to make an accurate diagnosis from DWI. The secondary purpose of this study was to determine the discriminating threshold
b values for raw diffusion-weighted images and for normalized diffusion-weighted images. On the basis of 14 abscesses, 10 high-grade gliomas and 2 metastases, we show that the calculation of accurate Apparent Diffusion Coefficient (ADC) values gives a specificity rate of 100%. Without ADC calculation, we show that image normalization is required to make an accurate differential diagnosis, and we highlight the ability of DWI to discriminate between brain abscesses and cystic/necrotic brain tumors using normalized signal intensity at lower
b values (503 s/mm
2) than usual. |
| doi_str_mv | 10.1016/S0730-725X(03)00084-5 |
| format | Article |
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b required to use to make an accurate diagnosis from DWI. The secondary purpose of this study was to determine the discriminating threshold
b values for raw diffusion-weighted images and for normalized diffusion-weighted images. On the basis of 14 abscesses, 10 high-grade gliomas and 2 metastases, we show that the calculation of accurate Apparent Diffusion Coefficient (ADC) values gives a specificity rate of 100%. Without ADC calculation, we show that image normalization is required to make an accurate differential diagnosis, and we highlight the ability of DWI to discriminate between brain abscesses and cystic/necrotic brain tumors using normalized signal intensity at lower
b values (503 s/mm
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b required to use to make an accurate diagnosis from DWI. The secondary purpose of this study was to determine the discriminating threshold
b values for raw diffusion-weighted images and for normalized diffusion-weighted images. On the basis of 14 abscesses, 10 high-grade gliomas and 2 metastases, we show that the calculation of accurate Apparent Diffusion Coefficient (ADC) values gives a specificity rate of 100%. Without ADC calculation, we show that image normalization is required to make an accurate differential diagnosis, and we highlight the ability of DWI to discriminate between brain abscesses and cystic/necrotic brain tumors using normalized signal intensity at lower
b values (503 s/mm
2) than usual.</description><subject>ADC</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Brain - pathology</subject><subject>Brain abscess</subject><subject>Brain Abscess - diagnosis</subject><subject>Brain Neoplasms - diagnosis</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Diagnosis, Differential</subject><subject>Diffusion-weighted images</subject><subject>Female</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Life Sciences</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>MRI</subject><subject>Necrosis</subject><subject>Necrotic or cystic tumor</subject><subject>Sensitivity and Specificity</subject><subject>Signal intensity</subject><subject>Statistics, Nonparametric</subject><issn>0730-725X</issn><issn>1873-5894</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkV1vFCEYhYnR2LX6EzTcaOzFKMwsDFyZpn60yRoTPxLvCAMvu5hZ2MJMm_qL_JkyO5vuZcMF5OThvG_OQeglJe8oofz9D9I2pGpr9vstac4IIWJZsUdoQUXbVEzI5WO0uEdO0LOc_xSI1Q17ik5oLSmjki_Qv4_eOUgQBq97_PX7FbZer0PMPuMOhluAgLukfcC6ywZyhox1sDiASXHwBseEzV2eXjM2jNuYMh6zD2s8bADr3U5P_sXYuSLHgE0E57zxk7o3i2mre_8X7BGqbsGvN0OR_FavIT9HT5zuM7w43Kfo1-dPPy8uq9W3L1cX56vKMCKGqpOcGyPsFEMnmCGuZXZJOYWO09oywgU0tNW0k4IRQwkQyakFWWtrJJXNKTqbfTe6V7tUhqc7FbVXl-crNWmkJq0o5A0t7JuZ3aV4PUIe1NaXkPpeB4hjVm3DGJesfRCkQtZtOQVkM1jSzTmBu1-BEjX1rva9q6lURRq1712x8u_VYcDYbcEefx2KLsDrA6Cz0b1LOhifjxwjbMlrUbgPMwcl4xsPSeWpJwPWJzCDstE_sMp_-TjM5g</recordid><startdate>20030701</startdate><enddate>20030701</enddate><creator>Nadal Desbarats, Lydie</creator><creator>Herlidou, Sandra</creator><creator>de Marco, Giovanni</creator><creator>Gondry-Jouet, Catherine</creator><creator>Le Gars, Daniel</creator><creator>Deramond, Hervé</creator><creator>Idy-Peretti, Ilana</creator><general>Elsevier Inc</general><general>Elsevier Science</general><general>Elsevier</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>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-3765-0889</orcidid><orcidid>https://orcid.org/0000-0003-1469-1044</orcidid><orcidid>https://orcid.org/0000-0001-8770-6951</orcidid></search><sort><creationdate>20030701</creationdate><title>Differential MRI diagnosis between brain abscesses and necrotic or cystic brain tumors using the apparent diffusion coefficient and normalized diffusion-weighted images</title><author>Nadal Desbarats, Lydie ; Herlidou, Sandra ; de Marco, Giovanni ; Gondry-Jouet, Catherine ; Le Gars, Daniel ; Deramond, Hervé ; Idy-Peretti, Ilana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c508t-b966cc8d1873b85c0f75d4161eb612d5068e317a1b9850c10e0961de92adc9193</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>ADC</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Brain - pathology</topic><topic>Brain abscess</topic><topic>Brain Abscess - diagnosis</topic><topic>Brain Neoplasms - diagnosis</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Diagnosis, Differential</topic><topic>Diffusion-weighted images</topic><topic>Female</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Life Sciences</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>MRI</topic><topic>Necrosis</topic><topic>Necrotic or cystic tumor</topic><topic>Sensitivity and Specificity</topic><topic>Signal intensity</topic><topic>Statistics, Nonparametric</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nadal Desbarats, Lydie</creatorcontrib><creatorcontrib>Herlidou, Sandra</creatorcontrib><creatorcontrib>de Marco, Giovanni</creatorcontrib><creatorcontrib>Gondry-Jouet, Catherine</creatorcontrib><creatorcontrib>Le Gars, Daniel</creatorcontrib><creatorcontrib>Deramond, Hervé</creatorcontrib><creatorcontrib>Idy-Peretti, Ilana</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>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nadal Desbarats, Lydie</au><au>Herlidou, Sandra</au><au>de Marco, Giovanni</au><au>Gondry-Jouet, Catherine</au><au>Le Gars, Daniel</au><au>Deramond, Hervé</au><au>Idy-Peretti, Ilana</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Differential MRI diagnosis between brain abscesses and necrotic or cystic brain tumors using the apparent diffusion coefficient and normalized diffusion-weighted images</atitle><jtitle>Magnetic resonance imaging</jtitle><addtitle>Magn Reson Imaging</addtitle><date>2003-07-01</date><risdate>2003</risdate><volume>21</volume><issue>6</issue><spage>645</spage><epage>650</epage><pages>645-650</pages><issn>0730-725X</issn><eissn>1873-5894</eissn><coden>MRIMDQ</coden><abstract>Magnetic Resonance Diffusion-Weighted Imaging (DWI) has been reported to be helpful for the differential diagnosis between abscesses and cystic/necrotic brain tumors. However the number of patients is still limited, and the sensitivity and specificity of the method remain to be confirmed. The primary purpose of this study was to investigate a larger sample of patients, all investigated under the same experimental conditions, in order to obtain statistically significant data. Moreover, there is no consensus about the appropriate values of
b required to use to make an accurate diagnosis from DWI. The secondary purpose of this study was to determine the discriminating threshold
b values for raw diffusion-weighted images and for normalized diffusion-weighted images. On the basis of 14 abscesses, 10 high-grade gliomas and 2 metastases, we show that the calculation of accurate Apparent Diffusion Coefficient (ADC) values gives a specificity rate of 100%. Without ADC calculation, we show that image normalization is required to make an accurate differential diagnosis, and we highlight the ability of DWI to discriminate between brain abscesses and cystic/necrotic brain tumors using normalized signal intensity at lower
b values (503 s/mm
2) than usual.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>12915196</pmid><doi>10.1016/S0730-725X(03)00084-5</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-3765-0889</orcidid><orcidid>https://orcid.org/0000-0003-1469-1044</orcidid><orcidid>https://orcid.org/0000-0001-8770-6951</orcidid></addata></record> |
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| identifier | ISSN: 0730-725X |
| ispartof | Magnetic resonance imaging, 2003-07, Vol.21 (6), p.645-650 |
| issn | 0730-725X 1873-5894 |
| language | eng |
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| source | MEDLINE; ScienceDirect Journals (5 years ago - present) |
| subjects | ADC Adolescent Adult Aged Biological and medical sciences Brain - pathology Brain abscess Brain Abscess - diagnosis Brain Neoplasms - diagnosis Child Child, Preschool Diagnosis, Differential Diffusion-weighted images Female Humans Image Processing, Computer-Assisted Life Sciences Magnetic Resonance Imaging - methods Male Medical sciences Middle Aged MRI Necrosis Necrotic or cystic tumor Sensitivity and Specificity Signal intensity Statistics, Nonparametric |
| title | Differential MRI diagnosis between brain abscesses and necrotic or cystic brain tumors using the apparent diffusion coefficient and normalized diffusion-weighted images |
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