Susceptibility imaging in glial tumor grading : using 3 tesla magnetic resonance (MR) system and 32 channel head coil

2017
journal article
article
9
dc.abstract.enBACKGROUND: Susceptibility weighted imaging (SWI) is a velocity compensated, high-resolution three-dimensional (3D) spoiled gradient-echo sequence that uses magnitude and filtered-phase data. SWI seems to be a valuable tool for non-invasive evaluation of central nervous system gliomas. Relative cerebral blood volume (rCBV) ratio is one of the best noninvasive methods for glioma grading. Degree of intratumoral susceptibility signal (ITSS) on SWI correlates with rCBV ratio and histopathological grade. This study investigated the effectiveness of ITSS grading and rCBV ratio in preoperative assessment. MATERIAL AND METHODS: Thirty-one patients (17 males and 14 females) with histopathogical diagnosis of glial tumor undergoing routine cranial MRI, SWI, and perfusion MRI examinations between October 2011 and July 2013 were retrospectively enrolled. All examinations were performed using 3T apparatus with 32-channel head coil. We used ITSS number for SWI grading. Correlations between SWI grade, rCBV ratio, and pathological grading were evaluated. ROC analysis was performed to determine the optimal rCBV ratio to distinguish between high-grade and low-grade glial tumors. RESULTS: There was a strong positive correlation between both pathological and SWI grading. We determined the optimal rCBV ratio to discriminate between high-grade and low-grade tumors to be 2.21 CONCLUSIONS: In conclusion, perfusion MRI and SWI using 3T MR and 32-channel head coil may provide useful information for preoperative glial tumor grading. SWI can be used as an accessory to perfusion MR technique in preoperative tumor grading.pl
dc.contributor.authorAydin, Omerpl
dc.contributor.authorBuyukkaya, Ramazanpl
dc.contributor.authorHakyemez, Bahattinpl
dc.date.accessioned2017-04-24T14:30:24Z
dc.date.available2017-04-24T14:30:24Z
dc.date.issued2017pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalBibliogr. s. 186-187pl
dc.description.physical179-187pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume82pl
dc.identifier.doi10.12659/PJR.900374pl
dc.identifier.eissn1899-0967pl
dc.identifier.issn1733-134Xpl
dc.identifier.urihttp://ruj.uj.edu.pl/xmlui/handle/item/39683
dc.languageengpl
dc.language.containerengpl
dc.rightsUdzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 3.0 Polska*
dc.rights.licenceCC-BY-NC-ND
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/pl/legalcode*
dc.share.typeotwarte czasopismo
dc.subject.engliomapl
dc.subject.enmagnetic resonance imagingpl
dc.subject.enneuroradiographypl
dc.subtypeArticlepl
dc.titleSusceptibility imaging in glial tumor grading : using 3 tesla magnetic resonance (MR) system and 32 channel head coilpl
dc.title.journalPolish Journal of Radiologypl
dc.typeJournalArticlepl
dspace.entity.typePublication
dc.abstract.enpl
BACKGROUND: Susceptibility weighted imaging (SWI) is a velocity compensated, high-resolution three-dimensional (3D) spoiled gradient-echo sequence that uses magnitude and filtered-phase data. SWI seems to be a valuable tool for non-invasive evaluation of central nervous system gliomas. Relative cerebral blood volume (rCBV) ratio is one of the best noninvasive methods for glioma grading. Degree of intratumoral susceptibility signal (ITSS) on SWI correlates with rCBV ratio and histopathological grade. This study investigated the effectiveness of ITSS grading and rCBV ratio in preoperative assessment. MATERIAL AND METHODS: Thirty-one patients (17 males and 14 females) with histopathogical diagnosis of glial tumor undergoing routine cranial MRI, SWI, and perfusion MRI examinations between October 2011 and July 2013 were retrospectively enrolled. All examinations were performed using 3T apparatus with 32-channel head coil. We used ITSS number for SWI grading. Correlations between SWI grade, rCBV ratio, and pathological grading were evaluated. ROC analysis was performed to determine the optimal rCBV ratio to distinguish between high-grade and low-grade glial tumors. RESULTS: There was a strong positive correlation between both pathological and SWI grading. We determined the optimal rCBV ratio to discriminate between high-grade and low-grade tumors to be 2.21 CONCLUSIONS: In conclusion, perfusion MRI and SWI using 3T MR and 32-channel head coil may provide useful information for preoperative glial tumor grading. SWI can be used as an accessory to perfusion MR technique in preoperative tumor grading.
dc.contributor.authorpl
Aydin, Omer
dc.contributor.authorpl
Buyukkaya, Ramazan
dc.contributor.authorpl
Hakyemez, Bahattin
dc.date.accessioned
2017-04-24T14:30:24Z
dc.date.available
2017-04-24T14:30:24Z
dc.date.issuedpl
2017
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additionalpl
Bibliogr. s. 186-187
dc.description.physicalpl
179-187
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
82
dc.identifier.doipl
10.12659/PJR.900374
dc.identifier.eissnpl
1899-0967
dc.identifier.issnpl
1733-134X
dc.identifier.uri
http://ruj.uj.edu.pl/xmlui/handle/item/39683
dc.languagepl
eng
dc.language.containerpl
eng
dc.rights*
Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 3.0 Polska
dc.rights.licence
CC-BY-NC-ND
dc.rights.uri*
http://creativecommons.org/licenses/by-nc-nd/3.0/pl/legalcode
dc.share.type
otwarte czasopismo
dc.subject.enpl
glioma
dc.subject.enpl
magnetic resonance imaging
dc.subject.enpl
neuroradiography
dc.subtypepl
Article
dc.titlepl
Susceptibility imaging in glial tumor grading : using 3 tesla magnetic resonance (MR) system and 32 channel head coil
dc.title.journalpl
Polish Journal of Radiology
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations

* The migration of download and view statistics prior to the date of April 8, 2024 is in progress.

Views
2
Views per month
Views per city
Ashburn
1
Warsaw
1
Downloads
aydin_buyukkaya_hakyemez_susceptibility_imaging_in_glial_tumor_grading_2017.pdf
29