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http://hdl.handle.net/11452/21428
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DC Field | Value | Language |
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dc.contributor.author | Yıldırım, Nalan | - |
dc.date.accessioned | 2021-08-16T07:31:23Z | - |
dc.date.available | 2021-08-16T07:31:23Z | - |
dc.date.issued | 2006-06-30 | - |
dc.identifier.citation | Hakyemez, B. vd. (2006).''Evaluation of different cerebral mass lesions by perfusion-weighted MR imaging''. Journal of Magnetic Resonance Imaging, 24(4), 817-824. | en_US |
dc.identifier.issn | 1053-1807 | - |
dc.identifier.issn | 1522-2586 | - |
dc.identifier.uri | https://doi.org/10.1002/jmri.20707 | - |
dc.identifier.uri | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jmri.20707 | - |
dc.identifier.uri | http://hdl.handle.net/11452/21428 | - |
dc.description.abstract | Purpose: To investigate the contribution of perfusion-weighted MR imaging (PWI) by using the relative cerebral blood volume (rCBV) ratio in the differential diagnosis of various intracranial space-occupying lesions. Materials and Methods: This study involved 105 patients with lesions (high-grade glioma (N = 26), low-grade glioma (N= 11), meningioma (N = 23), metastasis (N 25), hemangioblastoma (N = 6), pyogenic abscess (N 4), schwannoma (N = 5), and lymphoma. (N = 5)). The patients were examined with a T2*-weighted (T2*W) gradient-echo singleshot EPI sequence. The rCBV ratios of the lesions were obtained by dividing the values obtained from the normal white matter. Statistical analysis was performed with the Mann-Whitney U-test. A P-value less than 0.05 was considered statistically significant. Results: The rCBV ratio was 5.76 +/- 3.35 in high-grade gliomas, 1.69 +/- 0.51 in low-grade gliomas, 8.02 +/- 3.89 in meningiomas, 5.27 +/- 3.22 in metastases, 11.36 +/- 4.41 in hemangioblastomas, 0.76 +/- 0.12 in abscesses, 1.10 +/- 0.32 in lymphomas, and 3.23 +/- 0.81 in schwannomas. The rCBV ratios were used to discriminate between 1) high- and low-grade gliomas (P < 0.00 1), 2) hemangioblastomas and metastases (P < 0.05), 3) abscesses from high-grade gliomas and metastases (P < 0.001), 4) schwannomas and meningiomas (P < 0.001), 5) lymphomas from high-grade gliomas and metastases (P < 0.001), and 6) typical meningiomas and atypical meningiomas (P < 0.01). Conclusion: rCBV ratios can help discriminate intracranial space-occupying lesions by demonstrating lesion vascularity. It is possible to discriminate between 1) high- and low-grade gliomas, 2) hemangioblastomas and other intracranial posterior fossa masses, 3) abscesses from highgrade gliomas and metastases, 4) schwannomas and meningiomas, 5) lymphomas and high-grade gliomas and metastases, and 6) typical and atypical meningiomas. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Wiley | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Radiology, nuclear medicine & medical imaging | en_US |
dc.subject | Grading | en_US |
dc.subject | Perfusion-weighted | en_US |
dc.subject | Magnetic resonance | en_US |
dc.subject | Neoplasm | en_US |
dc.subject | Brain | en_US |
dc.subject | Diagnosis | en_US |
dc.subject | Blood-volume maps | en_US |
dc.subject | Recurrence | en_US |
dc.subject | Permeability | en_US |
dc.subject | Discrimination | en_US |
dc.subject | Brain-tumor | en_US |
dc.subject | Diffusion | en_US |
dc.subject | High-grade | en_US |
dc.subject | Malignant meningiomas | en_US |
dc.subject | Gliomas | en_US |
dc.title | Evaluation of different cerebral mass lesions by perfusion-weighted MR imaging | en_US |
dc.type | Article | en_US |
dc.identifier.wos | 000240882000012 | tr_TR |
dc.identifier.scopus | 2-s2.0-33749651522 | 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.orcid | 0000-0002-3425-0740 | tr_TR |
dc.identifier.startpage | 817 | tr_TR |
dc.identifier.endpage | 824 | tr_TR |
dc.identifier.volume | 24 | tr_TR |
dc.identifier.issue | 4 | tr_TR |
dc.relation.journal | Journal of Magnetic Resonance Imaging | en_US |
dc.contributor.buuauthor | Hakyemez, Bahattin | - |
dc.contributor.buuauthor | Cüneyt, Erdoğan | - |
dc.contributor.buuauthor | Bolca, Naile | - |
dc.contributor.buuauthor | Parlak, Mufit | - |
dc.contributor.buuauthor | Gökalp, Gökhan | - |
dc.contributor.researcherid | AAG-8521-2021 | tr_TR |
dc.contributor.researcherid | AAI-2336-2021 | tr_TR |
dc.contributor.researcherid | AAI-2318-2021 | tr_TR |
dc.relation.collaboration | Sanayi | tr_TR |
dc.identifier.pubmed | 16958061 | tr_TR |
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 | Q1 | 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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