Detailed Information on Publication Record
2021
Benefits of F-18-FET PET in preoperative assessment of glioma heterogeneity demonstrated in two case reports
VALEKOVÁ, Hana, Jiří VAŠINA, Zdeněk ŘEHÁK, M. HODOLIC, Michal HENDRYCH et. al.Basic information
Original name
Benefits of F-18-FET PET in preoperative assessment of glioma heterogeneity demonstrated in two case reports
Authors
VALEKOVÁ, Hana (703 Slovakia, belonging to the institution), Jiří VAŠINA (203 Czech Republic, belonging to the institution), Zdeněk ŘEHÁK (203 Czech Republic), M. HODOLIC, Michal HENDRYCH (203 Czech Republic, belonging to the institution), Tomáš KAZDA (203 Czech Republic), Petr POSPÍŠIL (203 Czech Republic), Peter SOLÁR (703 Slovakia, belonging to the institution), Zdeněk MACKERLE (203 Czech Republic, belonging to the institution) and Radim JANČÁLEK (203 Czech Republic, guarantor, belonging to the institution)
Edition
Ceska a slovenska neurologie a neurochirurgie, Prague, CZECH MEDICAL SOC, 2021, 1210-7859
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30103 Neurosciences
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 0.411
RIV identification code
RIV/00216224:14110/21:00123827
Organization unit
Faculty of Medicine
UT WoS
000738908000015
Keywords in English
F-18-FET PET; glioma heterogeneity; preoperative assessment
Tags
International impact, Reviewed
Změněno: 17/5/2022 12:54, Mgr. Tereza Miškechová
Abstract
V originále
Gliomas are intra-axial brain tumors with high biological heterogeneity. MRI is still considered the gold standard of diagnostic algorithms. Especially in gliomas with atypical enhancement patterns, where foci with different grading can coexist, PET could increase sensitivity and specificity of pre-surgery imaging by monitoring processes such as cell proliferation, membrane biosynthesis, and glucose consumption.
Links
MUNI/A/1429/2019, interní kód MU |
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MUNI/A/1645/2020, interní kód MU |
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