Advanced MRI increases the diagnostic accuracy of recurrent
glioblastoma: Single institution thresholds and validation of
MR spectroscopy and diffusion weighted MR imaging

J 2016

Advanced MRI increases the diagnostic accuracy of recurrent glioblastoma: Single institution thresholds and validation of MR spectroscopy and diffusion weighted MR imaging

KAZDA, Tomáš, Martin BULIK, Petr POSPÍŠIL, Radek LAKOMÝ, Martin SMRČKA et. al.

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

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30000 3. Medical and Health Sciences

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

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

Abstract

V originále

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.

Citovat

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.

@article{1363904,
   author = {Kazda, Tomáš and Bulik, Martin and Pospíšil, Petr and Lakomý, Radek and Smrčka, Martin and Šlampa, Pavel and Jančálek, Radim},
   article_location = {Oxford},
   article_number = {"neuvedeno"},
   doi = {http://dx.doi.org/10.1016/j.nicl.2016.02.016},
   keywords = {Glioma; Recurrence; Imaging sensitivity; Spectroscopy; Apparent diffusion coefficient},
   language = {eng},
   issn = {2213-1582},
   journal = {NeuroImage: Clinical},
   title = {Advanced MRI increases the diagnostic accuracy of recurrent glioblastoma: Single institution thresholds and validation of MR spectroscopy and diffusion weighted MR imaging},
   volume = {11},
   year = {2016}
}

TY  - JOUR
ID  - 1363904
AU  - Kazda, Tomáš - Bulik, Martin - Pospíšil, Petr - Lakomý, Radek - Smrčka, Martin - Šlampa, Pavel - Jančálek, Radim
PY  - 2016
TI  - Advanced MRI increases the diagnostic accuracy of recurrent glioblastoma: Single institution thresholds and validation of MR spectroscopy and diffusion weighted MR imaging
JF  - NeuroImage: Clinical
VL  - 11
IS  - "neuvedeno"
SP  - 316-321
EP  - 316-321
PB  - Elsevier BV
SN  - 22131582
KW  - Glioma
KW  - Recurrence
KW  - Imaging sensitivity
KW  - Spectroscopy
KW  - Apparent diffusion coefficient
N2  - 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.
ER  -

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. \textit{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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