Preoperative prediction of 5-ALA fluorescence in gliomas: comparison of 7-Tesla magnetic resonance spectroscopic imaging, contrast-enhancement on MRI, and positron emission tomography.
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| Title: | Preoperative prediction of 5-ALA fluorescence in gliomas: comparison of 7-Tesla magnetic resonance spectroscopic imaging, contrast-enhancement on MRI, and positron emission tomography. |
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| Authors: | Huskic, Sara1,2 (AUTHOR), Lazen, Philipp1,2 (AUTHOR), Cadrien, Cornelius1,2 (AUTHOR), Roetzer-Pejrimovsky, Thomas3,4 (AUTHOR), Kiesel, Barbara1 (AUTHOR), Furtner, Julia5,6 (AUTHOR), Leitner, Johannes5 (AUTHOR), Kloss-Brandstätter, Anita7 (AUTHOR), Körner, Lisa1 (AUTHOR), Berghoff, Anna Sophie8 (AUTHOR), Preusser, Matthias8 (AUTHOR), Grabner, Günther7 (AUTHOR), Bogner, Wolfgang2,9 (AUTHOR), Traub-Weidinger, Tatjana10,11 (AUTHOR), Hacker, Marcus11 (AUTHOR), Trattnig, Siegfried2,9 (AUTHOR), Rössler, Karl1,9 (AUTHOR), Hangel, Gilbert1,2,9 (AUTHOR), Widhalm, Georg1 (AUTHOR) georg.widhalm@meduniwien.ac.at |
| Source: | European Radiology. Jul2026, Vol. 36 Issue 7, p5469-5481. 13p. |
| Subjects: | Fluorescence, Spectroscopic imaging, Computer-assisted surgery, Contrast-enhanced magnetic resonance imaging, Preoperative care, Biomarkers, Positron emission tomography, Gliomas |
| Abstract: | Objectives: We 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 methods: We 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. Results: 5-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 (AUCrange = 0.79–0.94), comparable or superior to PET TNR (AUC = 0.90) and CE-MRI (AUC = 0.84). In a subcohort of nonenhancing gliomas, Gly/tCr and Gln/tCr showed a high prediction accuracy (AUC = 0.90). Conclusion: 7-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. [ABSTRACT FROM AUTHOR] |
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| Items | – Name: Title Label: Title Group: Ti Data: Preoperative prediction of 5-ALA fluorescence in gliomas: comparison of 7-Tesla magnetic resonance spectroscopic imaging, contrast-enhancement on MRI, and positron emission tomography. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Huskic%2C+Sara%22">Huskic, Sara</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lazen%2C+Philipp%22">Lazen, Philipp</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cadrien%2C+Cornelius%22">Cadrien, Cornelius</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Roetzer-Pejrimovsky%2C+Thomas%22">Roetzer-Pejrimovsky, Thomas</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kiesel%2C+Barbara%22">Kiesel, Barbara</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Furtner%2C+Julia%22">Furtner, Julia</searchLink><relatesTo>5,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Leitner%2C+Johannes%22">Leitner, Johannes</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kloss-Brandstätter%2C+Anita%22">Kloss-Brandstätter, Anita</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Körner%2C+Lisa%22">Körner, Lisa</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Berghoff%2C+Anna+Sophie%22">Berghoff, Anna Sophie</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Preusser%2C+Matthias%22">Preusser, Matthias</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Grabner%2C+Günther%22">Grabner, Günther</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bogner%2C+Wolfgang%22">Bogner, Wolfgang</searchLink><relatesTo>2,9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Traub-Weidinger%2C+Tatjana%22">Traub-Weidinger, Tatjana</searchLink><relatesTo>10,11</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hacker%2C+Marcus%22">Hacker, Marcus</searchLink><relatesTo>11</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Trattnig%2C+Siegfried%22">Trattnig, Siegfried</searchLink><relatesTo>2,9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rössler%2C+Karl%22">Rössler, Karl</searchLink><relatesTo>1,9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hangel%2C+Gilbert%22">Hangel, Gilbert</searchLink><relatesTo>1,2,9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Widhalm%2C+Georg%22">Widhalm, Georg</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> georg.widhalm@meduniwien.ac.at</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22European+Radiology%22">European Radiology</searchLink>. Jul2026, Vol. 36 Issue 7, p5469-5481. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Fluorescence%22">Fluorescence</searchLink><br /><searchLink fieldCode="DE" term="%22Spectroscopic+imaging%22">Spectroscopic imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Computer-assisted+surgery%22">Computer-assisted surgery</searchLink><br /><searchLink fieldCode="DE" term="%22Contrast-enhanced+magnetic+resonance+imaging%22">Contrast-enhanced magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Preoperative+care%22">Preoperative care</searchLink><br /><searchLink fieldCode="DE" term="%22Biomarkers%22">Biomarkers</searchLink><br /><searchLink fieldCode="DE" term="%22Positron+emission+tomography%22">Positron emission tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Gliomas%22">Gliomas</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Objectives: We 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 methods: We 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. Results: 5-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 (AUCrange = 0.79–0.94), comparable or superior to PET TNR (AUC = 0.90) and CE-MRI (AUC = 0.84). In a subcohort of nonenhancing gliomas, Gly/tCr and Gln/tCr showed a high prediction accuracy (AUC = 0.90). Conclusion: 7-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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00330-026-12430-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 5469 Subjects: – SubjectFull: Fluorescence Type: general – SubjectFull: Spectroscopic imaging Type: general – SubjectFull: Computer-assisted surgery Type: general – SubjectFull: Contrast-enhanced magnetic resonance imaging Type: general – SubjectFull: Preoperative care Type: general – SubjectFull: Biomarkers Type: general – SubjectFull: Positron emission tomography Type: general – SubjectFull: Gliomas Type: general Titles: – TitleFull: Preoperative prediction of 5-ALA fluorescence in gliomas: comparison of 7-Tesla magnetic resonance spectroscopic imaging, contrast-enhancement on MRI, and positron emission tomography. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Huskic, Sara – PersonEntity: Name: NameFull: Lazen, Philipp – PersonEntity: Name: NameFull: Cadrien, Cornelius – PersonEntity: Name: NameFull: Roetzer-Pejrimovsky, Thomas – PersonEntity: Name: NameFull: Kiesel, Barbara – PersonEntity: Name: NameFull: Furtner, Julia – PersonEntity: Name: NameFull: Leitner, Johannes – PersonEntity: Name: NameFull: Kloss-Brandstätter, Anita – PersonEntity: Name: NameFull: Körner, Lisa – PersonEntity: Name: NameFull: Berghoff, Anna Sophie – PersonEntity: Name: NameFull: Preusser, Matthias – PersonEntity: Name: NameFull: Grabner, Günther – PersonEntity: Name: NameFull: Bogner, Wolfgang – PersonEntity: Name: NameFull: Traub-Weidinger, Tatjana – PersonEntity: Name: NameFull: Hacker, Marcus – PersonEntity: Name: NameFull: Trattnig, Siegfried – PersonEntity: Name: NameFull: Rössler, Karl – PersonEntity: Name: NameFull: Hangel, Gilbert – PersonEntity: Name: NameFull: Widhalm, Georg IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 09387994 Numbering: – Type: volume Value: 36 – Type: issue Value: 7 Titles: – TitleFull: European Radiology Type: main |
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