Evidence map›Paper›PMID 41215641›Full record

SynthesisEpilepsia open2026

Diagnostic performance of neuroimaging modalities for epileptogenic focus localization: A systematic review.

Mustafa S Alhasan, Mohammed Khalil, Ayman S Alhasan, Ahmed Najjar, Yasir Hassan Elhassan, Abdullah Almaghraby, Omar Alharthi, Seham Hamoud, Muhammed Amir Essibayi, Fabricio Feltrin and 3 more

Abstract readSystematic ReviewReview
In one paragraph

Synthesis in Epilepsia open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

13 authors.

Mustafa S AlhasanDepartment of Internal Medicine, College of Medicine, Taibah University, Madinah, Saudi Arabia.ORCID 0009-0002-4401-5127
Mohammed KhalilFaculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID 0000-0002-5188-9626
Ayman S AlhasanDepartment of Internal Medicine, College of Medicine, Taibah University, Madinah, Saudi Arabia.ORCID 0000-0001-8879-4017
Ahmed NajjarDepartment of General and Specialized Surgery, Taibah University, Madinah, Saudi Arabia.ORCID 0000-0002-0132-5072
Yasir Hassan ElhassanDepartment of Basic Medical Sciences, College of Medicine, Taibah University, Madinah, Saudi Arabia.ORCID 0000-0003-0196-5413
Abdullah AlmaghrabyDepartment of Pediatrics, Umm Al-Qura University, Makkah, Saudi Arabia.ORCID 0000-0003-4956-2613
Omar AlharthiDepartment of Internal Medicine, College of Medicine, Taibah University, Madinah, Saudi Arabia.ORCID 0009-0002-1042-765X
Seham HamoudDepartment of Pediatrics, Taibah University, Madinah, Saudi Arabia.ORCID 0009-0004-7907-0403
Muhammed Amir EssibayiMontefiore-Einstein Cerebrovascular Research Lab, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA.ORCID 0000-0001-8325-2382
Fabricio FeltrinDivision of Radiology-Neuroradiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0001-6783-7655
Sumit SinghDivision of Radiology-Neuroradiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0003-3753-5861
James MilburnThe University of Queensland Medical School, Ochsner Clinical School, New Orleans, Louisiana, USA.ORCID 0000-0003-3403-2628
Ahmed Y AzzamClinical Research and Clinical Artificial Intelligence, ASIDE Healthcare, Lewes, Delaware, USA.ORCID 0000-0002-4256-0159

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAccurate localization of epileptogenic foci remains of significant importance for surgical planning in drug-resistant epilepsy. Multiple neuroimaging modalities are available; however, their comparative diagnostic performance lacks comparative detailed synthesis. This systematic review aimed to evaluate and compare the diagnostic accuracy of structural MRI, PET imaging, SPECT/SISCOM, and combined multimodal strategies for epileptogenic focus localization.

methodsWe conducted a systematic review following PRISMA 2020 guidelines, searching PubMed, Scopus, Google Scholar, Cochrane Library, and Web of Science databases up to May 30, 2025. Studies evaluating the diagnostic performance of neuroimaging modalities for epilepsy focus localization with surgical correlation were included. Data extraction focused on sensitivity, specificity, and clinical manner. Quality assessment used QUADAS-2 criteria.

resultsFifteen studies included a total of 1157 patients that met inclusion criteria. Combined multimodal strategies integrating two or more imaging modalities demonstrated the highest diagnostic performance (sensitivity 82-100%), followed by structural MRI in lesional epilepsy (72-100% sensitivity). PET imaging showed consistent performance across clinical contexts (33-89% sensitivity), while SPECT/SISCOM exhibited variable results (33-83% sensitivity). Strong complementarity existed between MRI and PET (85% concordance), with context-dependent optimization for lesional versus non-lesional epilepsy. SIGNIFICANCE: Combined multimodal neuroimaging provides superior diagnostic performance for epileptogenic focus localization. Clinical context significantly impacts the modality selection, with MRI prioritized in lesional cases and functional imaging essential for MRI-negative epilepsy. These findings support evidence-based imaging protocols for surgical epilepsy evaluation. PLAIN LANGUAGE SUMMARY: This systematic review evaluated which brain imaging techniques are best for finding the exact location where seizures start in people with drug-resistant epilepsy who need surgery. The researchers analyzed 15 studies involving 1157 patients. They found that using multiple imaging techniques together (combining structural and functional imaging) provides the most accurate results, with success rates of 82-100%. Standard MRI scans work very well (72-100% accuracy) when there is a visible brain abnormality causing seizures. However, for patients whose MRI looks normal, additional functional imaging techniques like PET or SPECT scans are crucial, achieving 63-89% accuracy. The study shows that the best imaging approach depends on the individual patient's situation: MRI should be used first when a brain lesion is suspected, but functional imaging becomes essential when MRI does not show anything abnormal. These findings help doctors choose the right combination of imaging tests for each patient to improve surgical planning and outcomes.

Indexed as

Drug Resistant EpilepsyNeuroimagingHumansMagnetic Resonance ImagingMultimodal ImagingPositron-Emission TomographySensitivity and SpecificityTomography, Emission-Computed, Single-Photonepilepsymultimodal imagingneuroimagingradiosurgerystereotactic

Identifiers

PMID41215641
PMCPMC12903809

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.