Evidence map›Paper›PMID 38511905›Full record

ArticleEpilepsia2024

Combining magnetic resonance fingerprinting with voxel-based morphometric analysis to reduce false positives for focal cortical dysplasia detection.

Zheng Ding, Siyuan Hu, Ting-Yu Su, Joon Yul Choi, Spencer Morris, Xiaofeng Wang, Ken Sakaie, Hiroatsu Murakami, Hans-Jürgen Huppertz, Ingmar Blümcke and 4 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Epilepsia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
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

6 citing papers in PubMed, 16 citations in OpenAlex.

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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

14 authors at 3 institutions in 4 countries.

Zheng DingEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Siyuan HuDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
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.
Spencer MorrisEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Xiaofeng WangQuantitative Health Science, Cleveland Clinic, Cleveland, Ohio, USA.
Ken SakaieImaging Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Hiroatsu MurakamiEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Hans-Jürgen HuppertzSwiss Epilepsy Clinic, Klinik Lengg, Zurich, Switzerland.
Ingmar BlümckeEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0001-8676-0788
Stephen JonesImaging Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Imad NajmEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0001-5192-2089
Dan MaDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
Zhong Irene WangEpilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-3829-5217
Cleveland Clinic · USCase Western Reserve University · USSwiss Epilepsy Center · CH

Funding

MR Fingerprinting for EpilepsyR01NS109439 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI Dan Ma, Zhong Irene Wang · 2019 to 2026
$4.2M
Comprehensive MR Fingerprinting for Infants and Young Children at Risk for Developmental Delays.R01HD112923 · NICHD · DUKE UNIVERSITY · PI Dan Ma, DEANNE E WILSON-COSTELLO · 2024 to 2026
$1.7M
NICHD NIH HHS R01 HD112923NINDS NIH HHS NS109439NINDS NIH HHS R01 NS109439
6 · The paper itself

Abstract

objectiveWe aim to improve focal cortical dysplasia (FCD) detection by combining high-resolution, three-dimensional (3D) magnetic resonance fingerprinting (MRF) with voxel-based morphometric magnetic resonance imaging (MRI) analysis.

methodsWe included 37 patients with pharmacoresistant focal epilepsy and FCD (10 IIa, 15 IIb, 10 mild Malformation of Cortical Development [mMCD], and 2 mMCD with oligodendroglial hyperplasia and epilepsy [MOGHE]). Fifty-nine healthy controls (HCs) were also included. 3D lesion labels were manually created. Whole-brain MRF scans were obtained with 1 mm

resultsMRF metrics were significantly higher in TP than FP clusters, including GM T1, normalized WM T1, and normalized WM T2. The neural network model with normalized MRF measures and cluster volume as input achieved mean area under the curve (AUC) of .83, sensitivity of 82.1%, and specificity of 71.7%. This model showed superior performance over direct thresholding of MAP18 FCD probability map at both the cluster and patient levels, eliminating ≥75% FP clusters in 30% of patients and ≥50% of FP clusters in 91% of patients. SIGNIFICANCE: This pilot study suggests the efficacy of MRF for reducing FPs in FCD detection, due to its quantitative values reflecting in vivo pathological changes. © 2024 International League Against Epilepsy.

Indexed as

Magnetic Resonance ImagingMalformations of Cortical DevelopmentAdolescentAdultChildDrug Resistant EpilepsyEpilepsies, PartialFalse Positive ReactionsFemaleFocal Cortical DysplasiaGray MatterHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMaleMiddle Agedepilepsyfocal cortical dysplasiaMR fingerprintingpre‐surgical evaluationquantitative MRIrelaxometry

Identifiers

PMID38511905
PMCPMC11166521
OpenAlexW4393055524

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.