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Research ArticleBRAIN TUMOR IMAGING

Diagnostic Performance of Fast Brain MRI Compared with Routine Clinical MRI in Patients with Glioma Grades 3 and 4: A Pilot Study

Francesca De Luca, Annika Suneson, Annika Kits, Emilia Palmér, Stefan Skare and Anna Falk Delgado
American Journal of Neuroradiology April 2025, DOI: https://doi.org/10.3174/ajnr.A8558
Francesca De Luca
aFrom the Department of Clinical Neuroscience (F.D.L., A.K., S.S., A.F.D.), Karolinska Institutet, Stockholm, Sweden
bDepartment of Radiology (F.D.L.), Karolinska University Hospital, Stockholm, Sweden
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Annika Suneson
cDepartment of Neuroradiology (A.S., A.K., S.S., A.F.D.), Karolinska University Hospital, Stockholm, Sweden
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Annika Kits
aFrom the Department of Clinical Neuroscience (F.D.L., A.K., S.S., A.F.D.), Karolinska Institutet, Stockholm, Sweden
cDepartment of Neuroradiology (A.S., A.K., S.S., A.F.D.), Karolinska University Hospital, Stockholm, Sweden
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Emilia Palmér
dDepartment of Medical Radiation Physics and Nuclear Medicine (E.P.), Karolinska University Hospital, Stockholm
eDepartment of Molecular Medicine and Surgery (E.P.), Karolinska Institutet, Stockholm, Sweden
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Stefan Skare
aFrom the Department of Clinical Neuroscience (F.D.L., A.K., S.S., A.F.D.), Karolinska Institutet, Stockholm, Sweden
cDepartment of Neuroradiology (A.S., A.K., S.S., A.F.D.), Karolinska University Hospital, Stockholm, Sweden
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Anna Falk Delgado
aFrom the Department of Clinical Neuroscience (F.D.L., A.K., S.S., A.F.D.), Karolinska Institutet, Stockholm, Sweden
cDepartment of Neuroradiology (A.S., A.K., S.S., A.F.D.), Karolinska University Hospital, Stockholm, Sweden
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Abstract

BACKGROUND AND PURPOSE: EPIMix is a fast brain MRI technique not previously investigated in patients with grade 3 and 4 gliomas. This pilot study aimed to investigate the diagnostic performance of EPIMix in the radiological treatment evaluation of adult patients with grade 3 and 4 gliomas compared with routine clinical MRI (rcMRI).

MATERIALS AND METHODS: Patients with grade 3 and 4 gliomas investigated with rcMRI and EPIMix were retrospectively included in the study. Three readers (R1–R3) participated in the radiological assessment applying the Response Assessment for Neuro-Oncology (RANO 2.0) criteria, of whom two (R1 and R2) independently evaluated EPIMix and later rcMRI by measuring contrast-enhancing and non-contrast-enhancing tumor regions at each follow-up. For cases with discrepant evaluations, an unblinded side-by-side (EPIMix and rcMRI) reading was performed together with a third reader (R3). Comparisons between methods (EPIMix versus rcMRI) were performed using the weighted Cohen κ. The sensitivity and specificity to progressive disease (PD) on a follow-up scan were calculated for EPIMix compared with rcMRI with receiver operating characteristic curves (ROC) to assess the area under the curve (AUC).

RESULTS: Of 35 patients (mean age, 53 years; 31% women), a total of 93 MRIs encompassing 58 follow-up investigations showed PD at a blinded reading in 33% of EPIMix (19/58, R1–2), while in 31% (18/58 exams, R1), and 34% (20/58 exams, R2) of rcMRI. An almost perfect agreement for tumor category assessment was found between EPIMix and rcMRI (EPIMixR1 versus rcMRIR1 κ = 0.96; EPIMixR2 versus rcMRIR2 κ = 0.89). The sensitivity for EPIMix to detect PD was 1.00 (0.81–1.00) for R1 and 0.90 (0.68–0.99) for R2, while the specificity was 0.97 (0.86–1.00) for R1 and R2. The AUC for PD was 0.99 for R1 (EPIMixR1 versus rcMRIR1) and 0.94 for R2 (EPIMixR2 versus rcMRIR2). The P value of the DeLong test AUCR1 versus AUCR2 was P = .20 (R1–R2).

CONCLUSIONS: In this pilot study, EPIMix was used as a fast MRI alternative for treatment evaluation of patients with glioma grades 3 and 4, with high but slightly lower diagnostic performance than rcMRI.

ABBREVIATIONS:

AUC
area under the curve
CNR
contrast-to-noise ratio
CR
complete response
EPIMix
multicontrast echo-planar imaging–based technique
PD
progressive disease
PR
partial response
RANO
Response Assessment in Neuro-Oncology
rcMRI
routine clinical MRI
ROC
receiver operating characteristic
SD
stable disease
SNR
signal-to-noise ratio

Footnotes

  • This work was supported by the ALF Project, Magnus Bergvall, Åke Wiberg, KID-funding, and the Swedish Society of Medicine.

  • Disclosure forms provided by the authors are available with the full text and PDF of this article at www.ajnr.org.

  • © 2025 by American Journal of Neuroradiology
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Cite this article
Francesca De Luca, Annika Suneson, Annika Kits, Emilia Palmér, Stefan Skare, Anna Falk Delgado
Diagnostic Performance of Fast Brain MRI Compared with Routine Clinical MRI in Patients with Glioma Grades 3 and 4: A Pilot Study
American Journal of Neuroradiology Apr 2025, DOI: 10.3174/ajnr.A8558

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Fast brain MRI in patients with glioma grades 3-4
Francesca De Luca, Annika Suneson, Annika Kits, Emilia Palmér, Stefan Skare, Anna Falk Delgado
American Journal of Neuroradiology Apr 2025, DOI: 10.3174/ajnr.A8558
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