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http://hdl.handle.net/11452/21683
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DC Field | Value | Language |
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dc.date.accessioned | 2021-09-06T05:28:19Z | - |
dc.date.available | 2021-09-06T05:28:19Z | - |
dc.date.issued | 2006 | - |
dc.identifier.citation | Hakyemez, B. vd. (2006). ''Meningiomas with conventional MRI findings resembling intraaxial tumors: can perfusion-weighted MRI be helpful in differentiation?''. Neuroradiology, 48(10), 695-702. | en_US |
dc.identifier.issn | 0028-3940 | - |
dc.identifier.uri | https://doi.org/10.1007/s00234-006-0115-y | - |
dc.identifier.uri | https://link.springer.com/article/10.1007%2Fs00234-006-0115-y | - |
dc.identifier.uri | http://hdl.handle.net/11452/21683 | - |
dc.description.abstract | Introduction To investigate the contribution of perfusion-weighted MRI to the differentiation of meningiomas with atypical conventional MRI findings from intraaxial tumors. Methods We retrospectively analyzed 54 meningiomas, 12 glioblastomas and 13 solitary metastases. We detected 6 meningiomas with atypical features on conventional MRI resembling intraaxial tumors. The regional cerebral blood flow (rCBV) ratios of all tumors were calculated via perfusion-weighted MRI. The signal intensity-time curves were plotted and three different curve patterns were observed. The type 1 curve resembled normal brain parenchyma or the postenhancement part was minimally below the baseline, the type 2 curve was similar to the type 1 curve but with the postenhancement part above the baseline, and the type 3 curve had the postenhancement part below the baseline accompanied by widening of the curve. Student's t-test was used for statistical analysis. Results On CBV images meningiomas were hypervascular and the mean rCBV ratio was 10.58 +/- 2.00. For glioblastomas and metastatic lesions, the rCBV ratios were 5.02 +/- 1.40 and 4.68 +/- 1.54, respectively. There was a statistically significant difference in rCBV ratios between meningiomas and glioblastomas and metastases (P < 0.001). Only one of the meningiomas displayed a type 2 curve while five showed a type 3 curve. Glioblastomas and metastases displayed either a type 1 or a type 2 curve. None of the meningiomas showed a type 1 curve and none of the glioblastomas or metastases showed a type 3 curve. Conclusion Differentiating meningiomas with atypical conventional MRI findings from malignant intraaxial tumors can be difficult. Calculation of rCBV ratios and construction of signal intensity-time curves may contribute to the differentiation of meningiomas from intraaxial tumors. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Neurosciences & neurology | en_US |
dc.subject | Radiology, nuclear medicine & medical imaging | en_US |
dc.subject | Perfusion imaging | en_US |
dc.subject | Meningioma | en_US |
dc.subject | Magnetic resonance | en_US |
dc.subject | Brain tumors | en_US |
dc.subject | Maps | en_US |
dc.subject | Gliomas | en_US |
dc.subject | Brain | en_US |
dc.subject | Contrast | en_US |
dc.subject | Gradient-echo | en_US |
dc.subject | Cystic meningiomas | en_US |
dc.subject | Malignant meningiomas | en_US |
dc.subject | Cerebral blood-volume | en_US |
dc.title | Meningiomas with conventional MRI findings resembling intraaxial tumors: Can perfusion-weighted MRI be helpful in differentiation? | en_US |
dc.type | Article | en_US |
dc.identifier.wos | 000240982200001 | tr_TR |
dc.identifier.scopus | 2-s2.0-33749344535 | tr_TR |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | tr_TR |
dc.contributor.department | Uludağ Üniversitesi/Tıp Fakültesi/Radyoloji Anabilim Dalı. | tr_TR |
dc.contributor.department | Uludağ Üniversitesi/Tıp Fakültesi/Beyin Cerrahisi Anabilim Dalı. | tr_TR |
dc.contributor.orcid | 0000-0002-3425-0740 | tr_TR |
dc.identifier.startpage | 695 | tr_TR |
dc.identifier.endpage | 702 | tr_TR |
dc.identifier.volume | 48 | tr_TR |
dc.identifier.issue | 10 | tr_TR |
dc.relation.journal | Neuroradiology | en_US |
dc.contributor.buuauthor | Hakyemez, Bahattin | - |
dc.contributor.buuauthor | Yıldırım, Nalan | - |
dc.contributor.buuauthor | Erdoğan, Cüneyt | - |
dc.contributor.buuauthor | Kocaeli, Hasan | - |
dc.contributor.buuauthor | Korfalı, Ender | - |
dc.contributor.buuauthor | Parlak, Müfit | - |
dc.contributor.researcherid | AAG-8521-2021 | tr_TR |
dc.contributor.researcherid | AAI-2318-2021 | tr_TR |
dc.identifier.pubmed | 16896907 | tr_TR |
dc.subject.wos | Clinical neurology | en_US |
dc.subject.wos | Neuroimaging | en_US |
dc.subject.wos | Radiology, nuclear medicine & medical imaging | en_US |
dc.indexed.wos | SCIE | en_US |
dc.indexed.scopus | Scopus | en_US |
dc.indexed.pubmed | Pubmed | en_US |
dc.wos.quartile | Q2 (Neuroimaging) | en_US |
dc.wos.quartile | Q3 | en_US |
dc.subject.scopus | Cerebral Blood Volume; N Acetylaspartic Acid; Glioblastoma | en_US |
Appears in Collections: | Scopus Web of Science |
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