Evidence map›Paper›PMID 39015783›Full record

ArticleFrontiers in medicine2024

The anterior sylvian point as a reliable landmark for the anterior temporal lobectomy in mesial temporal lobe epilepsy: technical note, case series, and cadaveric dissection.

Arianna Fava, Serena Vittoria Lisi, Luigi Mauro, Roberta Morace, Marco Ciavarro, Nicola Gorgoglione, Giandomenico Petrella, Pier Paolo Quarato, Giancarlo Di Gennaro, Paolo di Russo and 1 more

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Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Arianna FavaIRCCS Neuromed, Pozzilli, Italy.
Serena Vittoria LisiIRCCS Neuromed, Pozzilli, Italy.
Luigi MauroLaboratory of Neuroanatomy "G. Cantore", IRCCS Neuromed, Pozzilli, Italy.
Roberta MoraceIRCCS Neuromed, Pozzilli, Italy.
Marco CiavarroIRCCS Neuromed, Pozzilli, Italy.
Nicola GorgoglioneIRCCS Neuromed, Pozzilli, Italy.
Giandomenico PetrellaIRCCS Neuromed, Pozzilli, Italy.
Pier Paolo QuaratoIRCCS Neuromed, Pozzilli, Italy.
Giancarlo Di GennaroIRCCS Neuromed, Pozzilli, Italy.
Paolo di RussoIRCCS Neuromed, Pozzilli, Italy.
Vincenzo EspositoIRCCS Neuromed, Pozzilli, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Mesial temporal lobe epilepsy (MTLE) is one of the most prevalent forms of focal epilepsy in surgical series, particularly among adults. Over the decades, different surgical strategies have been developed to address drug-resistant epilepsy while safeguarding neurological and cognitive functions. Among these strategies, anterior temporal lobectomy (ATL), involving the removal of the temporal pole and mesial temporal structures, has emerged as a widely employed technique. Numerous modifications have been proposed to mitigate the risks associated with aphasia, cognitive issues, and visual field defects. Methods: Our approach is elucidated through intraoperative and cadaveric dissections, complemented by neuroradiological and cadaveric measurements of key anatomical landmarks. A retrospective analysis of patients with drug-resistant MTLE who were treated using our ATL technique at IRCCS Neuromed (Pozzilli) is presented. Results: A total of 385 patients were treated with our ATL subpial technique anatomically focused on the anterior Sylvian point (ASyP). The mean FU was 9.9 ± 5.4 years (range 1-24). In total, 84%of patients were free of seizures during the last follow-up, with no permanent neurological deficits. Transient defects were as follows: aphasia in 3% of patients, visual field defects in 2% of patients, hemiparesis in 2% of patients, and cognitive/memory impairments in 0.8% of patients. In cadaveric dissections, the ASyP was found at a mean distance from the temporal pole of 3.4 ± 0.2 cm (range 3-3.8) at the right side and 3.5 ± 0.2 cm (3.2-3.9) at the left side. In neuroimaging, the ASyP resulted anterior to the temporal horn tip in all cases at a mean distance of 3.2 ± 0.3 mm (range 2.7-3.6) at the right side and 3.5 ± 0.4 mm (range 2.8-3.8) at the left side. Discussion: To the best of our knowledge, this study first introduces the ASyP as a reliable and reproducible cortical landmark to perform the ATL to overcome the patients' variabilities, the risk of Meyer's loop injury, and the bias of intraoperative measurements. Our findings demonstrate that ASyP can be a safe cortical landmark that is useful in MTLE surgery because it is constantly present and is anterior to risky temporal regions such as temporal horn and language networks.

Indexed as

anterior sylvian pointanterior temporal lobectomycadaveric dissectionmesial temporal lobe epilepsytemporal anatomy

Identifiers

PMID39015783
PMCPMC11250084

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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.