Evidence map›Paper›PMID 41978567›Full record

ArticleEpilepsia2026

Clinical use and radiological yield of magnetic resonance fingerprinting in epilepsy.

Maksim Parfyonov, Ting-Yu Su, Joon Yul Choi, Ingmar Blümcke, Ken Sakaie, Spencer Morris, Hiroatsu Murakami, Andreas Alexopoulos, Imad Najm, Dan Ma and 2 more

Abstract read
In one paragraph

Article in Epilepsia, 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Maksim ParfyonovEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0003-0582-0852
Ting-Yu SuEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0001-5054-9163
Joon Yul ChoiEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Ingmar BlümckeEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0001-8676-0788
Ken SakaieDepartment of Radiology, Diagnostics Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-5633-4494
Spencer MorrisEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0001-8002-7446
Hiroatsu MurakamiEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0001-7349-3182
Andreas AlexopoulosEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0003-0214-3286
Imad NajmEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0001-5192-2089
Dan MaDepartments of Neurosurgery and Biomedical Engineering, Duke University, Durham, North Carolina, USA.ORCID https://orcid.org/0000-0003-1664-9579
Stephen E JonesDepartment of Radiology, Diagnostics Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0001-6511-9078
Zhong Irene WangEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-3829-5217

Funding

NIH HHS NS109439
6 · The paper itself

Abstract

objectiveMagnetic resonance fingerprinting (MRF) is a novel paradigm for magnetic resonance imaging (MRI) that efficiently generates multiparametric quantitative tissue property maps with a single acquisition. Its quantitative nature offers many advantages over conventional MRI. Although interest in MRF for epilepsy research has grown in recent years, systematic evaluation of its radiological and clinical value as a supplementary imaging modality is limited.

methodsWe reviewed the diagnostic utility of MRF imaging for 100 epilepsy patients undergoing presurgical evaluation. MRF quantitative maps (T1, T2, gray matter fraction, and white matter fraction) were generated and reviewed alongside conventional MRI. MRF findings were classified as (1) consistent-MRF findings the same as conventional MRI; (2) additional-MRF revealed findings beyond those seen on conventional MRI; or (3) discrepant-findings on conventional MRI not reproduced on MRF. We further stratified results by radiological diagnosis or pathology if available. Observations were further classified based on whether T1 or T2 MRF maps provided greater diagnostic utility.

resultsMRF revealed additional findings in a total of 46 patients (46/100, 46%). In one patient, findings on conventional MRI were not recapitulated on MRF (1/100, 1%). In the remaining 53 patients, MRF findings were consistent with conventional MRI (53/100, 53%). Additional benefits of MRF included the following: improved lesion conspicuity (n = 16), improved visualization of lesion extent (n = 11) or asymmetry between bilateral mesial temporal regions (n = 9), differentiation between multiple lesions (n = 5), new lesion identified (n = 2), and visualization of connection between lesion and other areas (n = 1). Added value from MRF was particularly common in patients with focal cortical dysplasia (FCD) type IIa (p = .009 vs. FCD IIb) and periventricular nodular heterotopia. SIGNIFICANCE: Our findings demonstrate the additional yield from MRF in the identification and definition of the extent of epileptogenic lesions, underscoring its potential as a valuable adjunct in presurgical epilepsy evaluation.

Indexed as

BrainEpilepsyMagnetic Resonance ImagingAdolescentAdultBrain MappingChildFemaleFocal Cortical DysplasiaGray MatterHumansMaleMiddle AgedYoung Adultepilepsy surgeryfocal cortical dysplasiaMR fingerprintingperiventricular nodular heterotopiaPVNHquantitative MRI

Identifiers

PMID41978567
PMCPMC13285249

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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 OpenQuestion graph.