ArticleScientific reports2026
Beyond structural MRI: combined diffusion metric improve delineation of epileptogenic tissue in focal cortical dysplasia.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
Accurate delineation of the epileptogenic zone in focal cortical dysplasia (FCD) remains challenging, as structural MRI often underestimates the extent of dysplastic tissue. Diffusion MRI can probe microstructural alterations, yet individual diffusion models provide limited sensitivity and clinical interpretability. We prospectively studied 19 patients with histologically confirmed FCD who underwent presurgical evaluation, surgical resection, and postsurgical MRI. Fourteen diffusion metrics derived from complementary diffusion models were integrated using logistic regression to generate a single combined diffusion metric (CDM). Spatial correspondence among structural MRI, resected tissue, perilesional cortex, and contralateral homologues was assessed using Dice similarity and ROC analyses. Histological cellularity and multimodal imaging data were used for biological validation. Individual diffusion metrics identified microstructural abnormalities within MRI-visible lesions, including reduced anisotropy, lower fibre density, and increased isotropic diffusion. Integration into the CDM improved discrimination between lesional and healthy tissue (p < 0.03), detected abnormalities extending beyond radiological borders, and showed spatial concordance with FDG-PET hypometabolism and epileptiform activity in 90% of patients. CDM-guided delineation increased agreement with resected regions and reduced unresected perilesional volume. CDM provides a biologically grounded and clinically interpretable representation of epileptogenic tissue in FCD, refining presurgical mapping beyond conventional MRI and potentially improving surgical targeting.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.