KAZDA, Tomáš, Martin BULIK, Petr POSPÍŠIL, Radek LAKOMÝ, Martin SMRČKA, Pavel ŠLAMPA and Radim JANČÁLEK. Advanced MRI increases the diagnostic accuracy of recurrent glioblastoma: Single institution thresholds and validation of MR spectroscopy and diffusion weighted MR imaging. NeuroImage: Clinical. Oxford: Elsevier BV, 2016, vol. 11, "neuvedeno", p. 316-321. ISSN 2213-1582. Available from: https://dx.doi.org/10.1016/j.nicl.2016.02.016.
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Basic information
Original name Advanced MRI increases the diagnostic accuracy of recurrent glioblastoma: Single institution thresholds and validation of MR spectroscopy and diffusion weighted MR imaging
Authors KAZDA, Tomáš (203 Czech Republic, guarantor, belonging to the institution), Martin BULIK (203 Czech Republic, belonging to the institution), Petr POSPÍŠIL (203 Czech Republic, belonging to the institution), Radek LAKOMÝ (203 Czech Republic, belonging to the institution), Martin SMRČKA (203 Czech Republic, belonging to the institution), Pavel ŠLAMPA (203 Czech Republic, belonging to the institution) and Radim JANČÁLEK (203 Czech Republic, belonging to the institution).
Edition NeuroImage: Clinical, Oxford, Elsevier BV, 2016, 2213-1582.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30000 3. Medical and Health Sciences
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 4.348
RIV identification code RIV/00216224:14110/16:00092193
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.1016/j.nicl.2016.02.016
UT WoS 000379504500035
Keywords in English Glioma; Recurrence; Imaging sensitivity; Spectroscopy; Apparent diffusion coefficient
Tags EL OK
Tags International impact, Reviewed
Changed by Changed by: Ing. Mgr. Věra Pospíšilíková, učo 9005. Changed: 7/12/2016 13:04.
Abstract
The accurate identification of glioblastoma progression remains an unmet clinical need. The aimof this prospective single-institutional study is to determine and validate thresholds for the main metabolite concentrations obtained by MR spectroscopy (MRS) and the values of the apparent diffusion coefficient (ADC) to enable distinguishing tumor recurrence from pseudoprogression. Thirty-nine patients after the standard treatment of a glioblastoma underwent advanced imaging by MRS and ADC at the time of suspected recurrence -median time to progressionwas 6.7 months. The highest significant sensitivity and specificity to call the glioblastoma recurrence was observed for the total choline (tCho) to total N-acetylaspartate (tNAA) concentration ratiowith the threshold >= 1.3 (sensitivity 100.0% and specificity 94.7%). The ADCmean value higher than 1313 x 10(-6) mm(2)/s was associated with the pseudoprogression (sensitivity 98.3%, specificity 100.0%). The combination of MRS focused on the tCho/tNAA concentration ratio and the ADCmean value represents imaging methods applicable to early non-invasive differentiation between a glioblastoma recurrence and a pseudoprogression. However, the institutional definition and validation of thresholds for differential diagnostics is needed for the elimination of setup errors before implementation of these multimodal imaging techniques into clinical practice, as well as into clinical trials.
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