Evidence map›Paper›PMID 41805721›Full record

ArticleEuropean radiology2026

Preoperative prediction of 5-ALA fluorescence in gliomas: comparison of 7-Tesla magnetic resonance spectroscopic imaging, contrast-enhancement on MRI, and positron emission tomography.

Sara Huskic, Philipp Lazen, Cornelius Cadrien, Thomas Roetzer-Pejrimovsky, Barbara Kiesel, Julia Furtner, Johannes Leitner, Anita Kloss-Brandstätter, Lisa Körner, Anna Sophie Berghoff and 9 more

Abstract readComparative Study
In one paragraph

Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Sara HuskicDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.
Philipp LazenDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.
Cornelius CadrienDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.
Thomas Roetzer-PejrimovskyDivision of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria.
Barbara KieselDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.
Julia FurtnerDivision of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Johannes LeitnerDivision of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Anita Kloss-BrandstätterDepartment of Medical Engineering, Carinthia University of Applied Sciences, Klagenfurt, Austria.
Lisa KörnerDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.
Anna Sophie BerghoffDivision of Oncology, Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria.
Matthias PreusserDivision of Oncology, Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria.
Günther GrabnerDepartment of Medical Engineering, Carinthia University of Applied Sciences, Klagenfurt, Austria.
Wolfgang BognerHigh-field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Tatjana Traub-WeidingerDepartment of Diagnostic and Therapeutic Nuclear Medicine, Clinic Donaustadt, Vienna Health Care Group, Vienna, Austria.
Marcus HackerDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Siegfried TrattnigHigh-field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Karl RösslerDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.
Gilbert HangelDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.
Georg WidhalmDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria. georg.widhalm@meduniwien.ac.at.ORCID http://orcid.org/0000-0001-6014-0273

Funding

Austrian Science Fund 10.55776/DFH50Austrian Science Fund 10.55776/KLI1089
6 · The paper itself

Abstract

objectivesWe investigated whether metabolic ratios derived from ultra-high-field 7-T 3D-FID-CRT-MRSI can predict intraoperatively visible 5-aminolevulinic acid (5-ALA) fluorescence in gliomas and compared their predictive performance to established imaging markers, including contrast enhancement (CE) on MRI and PET tumor-to-normal ratio (TNR). MATERIALS AND

methodsWe retrospectively analyzed 43 patients with histopathologically confirmed adult-type diffuse gliomas (CNS WHO grades 2-4) who underwent preoperative 7-T MRSI and 5-ALA-guided resection. Group differences between 5-ALA-positive and 5-ALA-negative tumors were tested for 16 metabolic ratios to either total creatine (tCr) or combined N-acetylaspartate and N-acetyl-aspartyl-glutamate (NAA + NAAG; total NAA; tNAA) using non-parametric statistics with Šidák correction. CE-MRI status and PET TNR (subcohort, n = 31) were included as reference predictors. We additionally evaluated a subgroup of non-enhancing gliomas (n = 27). Receiver operating characteristic (ROC) analysis was performed to determine diagnostic performance.

results5-ALA-positive gliomas demonstrated significantly altered metabolic profiles, showing lower mI/tNAA (p < 0.001) and higher Gln/tCr, Glx/tCr, Gly/tCr, and GSH/tCr ratios (all p < 0.001). These ratios achieved high predictive accuracy for fluorescence (AUC

conclusion7-T MRSI metabolic ratios can predict intraoperative 5-ALA fluorescence and may serve as an alternative or adjunct to CE-MRI and PET for preoperative patient selection for 5-ALA administration. Finally, these findings could be especially beneficial in non-enhancing gliomas, where CE-MRI offers limited predictive information. KEY POINTS: Question Does 7-T MRSI enable preoperative prediction of 5-ALA fluorescence to support patient selection for fluorescence-guided glioma surgery? Findings Several 7-T MRSI metabolic ratios (mI/tNAA, Gln/tCr, Glx/tCr, Gly/tCr and GSH/tCr) robustly predicted 5-ALA fluorescence across glioma subtypes, with diagnostic performance comparable to contrast-enhanced MRI and PET. Clinical relevance Ultra-high-field 7-T MRSI enables noninvasive preoperative prediction of intraoperative 5-ALA fluorescence in gliomas with performance comparable to PET and contrast-enhanced MRI, supporting surgical planning without the need for contrast agents or radiation exposure.

Indexed as

Aminolevulinic AcidBrain NeoplasmsGliomaMagnetic Resonance ImagingPositron-Emission TomographyAdultAgedContrast MediaFemaleHumansMagnetic Resonance SpectroscopyMaleMiddle AgedPreoperative CareRetrospective StudiesAminolevulinic AcidContrast Media5-amino levulinic acidBrainFluorescenceGliomaMagnetic resonance spectroscopy

Identifiers

PMID41805721
PMCPMC13282335

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.