AI Article Synopsis

  • Epilepsy is a prevalent neurological disorder affecting 1-2% of people globally, often requiring emergency medical attention, and the article highlights the role of neuroimaging in diagnosing seizures and epilepsy.
  • MRI is the preferred method for detailed imaging, particularly for detecting small brain lesions related to seizures, while CT scans are commonly used for rapid assessment in new-onset cases.
  • The article also discusses emerging imaging techniques like magnetic resonance spectroscopy and functional radionuclide imaging, along with the potential benefits of using artificial intelligence in improving diagnostic accuracy.

Article Abstract

Epilepsy is the most common neurological disorder that affects ~1-2% of the global population, leading to presentation in the emergency room. The neuroimaging modalities have an important application in diagnosing new onset unprovoked seizures and epilepsy. This article discusses the various neuroimaging modalities for diagnosing seizures and epilepsy and addresses that the MRI is the investigation of choice, and urgent imaging is more commonly done by computed tomography in patients with new-onset seizures. The goal of the article was to diagnose seizures and epilepsy for early intervention to prevent complications or damage to the brain. MRI detects even small cortical epileptogenic lesions, whereas computed tomography is used in screening, diagnosis, evaluation, and monitoring of the prognosis of seizures in children. Magnetic resonance spectroscopy provides biochemical measurements of reduced N-acetyl aspartate and increased creatinine and choline in dysfunctioning epileptic zones. Volumetric MRI is very sensitive and specific in determining seizures originating in extratemporal and extrahippocampal sites. Even though diffusion tensor magnetic resonance imaging has a limited role, it is used in specific pediatric patient groups with temporal lobe epilepsy. Functional radionuclide imaging modalities (positron emission tomography and single-photon emission computerized tomography) are increasingly significant for the identification of the epileptic region. Furthermore, the authors recommend the use of artificial intelligence and further research on imaging modalities for early diagnosis of seizures and epilepsy.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949781PMC
http://dx.doi.org/10.1097/MS9.0000000000000155DOI Listing

Publication Analysis

Top Keywords

seizures epilepsy
16
neuroimaging modalities
8
computed tomography
8
magnetic resonance
8
imaging modalities
8
epilepsy
7
seizures
7
diagnostic implications
4
implications neuroimaging
4
neuroimaging epilepsy
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!