Positron Emission Tomography (PET) in presurgical planning of anterior temporal lobectomy: A systematic review of efficacy and limitations.

Anterior Temporal Lobectomy (ATL) Positron Emission Tomography (PET) Postoperative outcomes Presurgical planning Temporal Lobe Epilepsy (TLE)

Journal

Clinical neurology and neurosurgery
ISSN: 1872-6968
Titre abrégé: Clin Neurol Neurosurg
Pays: Netherlands
ID NLM: 7502039

Informations de publication

Date de publication:
18 Sep 2024
Historique:
received: 11 08 2024
revised: 14 09 2024
accepted: 15 09 2024
medline: 27 9 2024
pubmed: 27 9 2024
entrez: 26 9 2024
Statut: aheadofprint

Résumé

Temporal lobe epilepsy (TLE), a debilitating neurological disorder, necessitates refined diagnostic and treatment strategies. This comprehensive review appraises the potential of positron emission tomography (PET) in enhancing the presurgical planning of Anterior Temporal Lobectomy (ATL) for patients afflicted with TLE. A comprehensive literature search was conducted using the PubMed, SCOPUS, and ScienceDirect databases from 1985 to 2022, following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for studies investigating PET and ATL. This review studied a range of radiotracers, including FDG, H A total of 52 studies were included in the final analysis. Our analysis revealed that FDG-PET imaging was instrumental in identifying seizure foci and predicting postoperative results. It exhibited significant value in situations where structural abnormalities were absent on MRI scans. Furthermore, newer radiotracers such as 5-HT PET imaging, although challenged by issues such as radiation exposure, limited accessibility, and high costs, offers considerable promise. Integration with other imaging modalities, such as EEG and MRI, has contributed to improved localization of epileptogenic foci and subsequently, enhanced surgical outcomes. Further research must focus on establishing the relative efficacy and optimal combinations of these radiotracers in the orchestration of ATL surgical planning and prognostication of postoperative outcomes for TLE patients. Encouragingly, these advancements hold the potential to revolutionize the management of TLE, delivering a better quality of life for patients.

Identifiants

pubmed: 39326280
pii: S0303-8467(24)00449-9
doi: 10.1016/j.clineuro.2024.108562
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

108562

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that the article content was composed in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Eric M Teichner (EM)

Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.

Robert C Subtirelu (RC)

Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.

Shiv Patil (S)

Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.

Chitra Parikh (C)

Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.

Arjun B Ashok (AB)

Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.

Sahithi Talasila (S)

Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.

Victoria A Anderson (VA)

Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.

Talha Khan (T)

Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.

Yvonne Su (Y)

Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.

Thomas Werner (T)

Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.

Abass Alavi (A)

Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.

Mona-Elisabeth Revheim (ME)

The Intervention Centre, Division of Technology and Innovation, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway. Electronic address: monar@ous-hf.no.

Classifications MeSH