Use of MR spectroscopy and diffusion weighted MR imaging for differentiation of glioblastoma relapse and pseudoprogression after complex oncology treatment: final study results

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F17%3A00068337" target="_blank" >RIV/00159816:_____/17:00068337 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Use of MR spectroscopy and diffusion weighted MR imaging for differentiation of glioblastoma relapse and pseudoprogression after complex oncology treatment: final study results

Popis výsledku v původním jazyce

The accurate identification of glioblastoma progression remains an unmet clinical need. The aim of 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 progression was 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 ratio with the threshold GREATER-THAN OR EQUAL TO1.3 (sensitivity 100.0% and specificity 94.7%). The ADCmean value higher than 1313 x 10MINUS SIGN 6 mm2/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 elimination of setup errors before implementation of these multimodal imaging techniques into clinical practice, as well as into clinical trials.The project is supported by grants IGA MZCR NT/14120 and NT/14600

Název v anglickém jazyce

Use of MR spectroscopy and diffusion weighted MR imaging for differentiation of glioblastoma relapse and pseudoprogression after complex oncology treatment: final study results

Popis výsledku anglicky

The accurate identification of glioblastoma progression remains an unmet clinical need. The aim of 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 progression was 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 ratio with the threshold GREATER-THAN OR EQUAL TO1.3 (sensitivity 100.0% and specificity 94.7%). The ADCmean value higher than 1313 x 10MINUS SIGN 6 mm2/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 elimination of setup errors before implementation of these multimodal imaging techniques into clinical practice, as well as into clinical trials.The project is supported by grants IGA MZCR NT/14120 and NT/14600

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

30204 - Oncology

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů