Evidence map›Paper›PMID 42232422›Full record

ReviewSurgical neurology international2026

Perspective/short review: Mandatory intraoperative neurological monitoring (IONM) for thoracic ossification of the posterior longitudinal ligament (OPLL).

Nancy E Epstein, Marc A Agulnick

Abstract readReview
In one paragraph

Review in Surgical neurology international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Nancy E EpsteinProfessor of Clinical Neurosurgery, School of Medicine, State University of NY at Stony Brook, NY, c/o Dr. Marc Agulnick 1122 Franklin Avenue Suite 106, Garden City, NY 11530, USA and Editor-in-Chief Surgical Neurology International.
Marc A AgulnickAssistant Clinical Professor of Orthopedics, NYU Langone Hospital Long Island, NY, USA, 1122 Franklin Avenue, Suite 106, Garden City, NY 11530, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intraoperative Neural Monitoring (IONM) is mandatory for performing anterior (i.e., transthoracic) or lateral extracavitary approaches to significant anterior/anterolateral thoracic ossification of the posterior longitudinal ligament (TOPLL) (i.e. often misdiagnosed as calcified Thoracic Disc Herniations) (TDH). Notably, the remaining "posterior procedures" (i.e. laminectomy, transpedicular, and costotransversectomy) are contraindicated for treating significant anterior/anterolateral TOPLL as they result in unacceptably high frequencies of spinal cord injury (SCI) typically correlated with significant intraoperative IONM losses. Methods: A review of multiple studies documented that IONM (i.e. especially Tc-MEP (Transcranial Motor Evoked Potentials)) is mandatory when performing anterior transthoracic or lateral extracavitary approaches to TOPLL. This is because IONM alerts signaling the onset of SCI may likely be remediated (i.e. minized vs. limited) utilizing appropriate resuscitative maneuvers. Alternatively, extremely high frequencies of significant IONM losses occurring with "posterior procedures" carried a much higher risk of permanent/irreversible neurological injury. Results: Multiple studies documented that IONM should be used with anterior transthoracic or lateral extracavitary approaches to anterior/anterolateral TOPLL surgery, and that "posterior procedures" were largely contraindicated. In one series, significant amplitude Tc-MEP losses occurred in 73% of posterior decompressions; 39% developed Tc-MEP amplitude losses, that correlated with new SCI. In another study of 249 TOPLL patients undergoing "posterior only operations", 50 developed new significant IONM alerts (i.e. of deterioration); only 40% (20/50) were successfully resuscitated. Overall, initiating immediate resuscitative maneuvers in response to IONM occurring during various types of TOPLL surgery can avert SCI in up to 10.4%, to 40%, to 57% of cases. Conclusion: IONM is mandatory for anterior/anterolateral TOPLL surgery utilizing anterior transthoracic or lateral extracavitary approaches.

Indexed as

Giant Calcified DiscsIIntraoperative Neural Monitoring (IONM)MandatedOssification of the Posterior Longitudinal Ligament (OPLL)SurgeryThoracic

Identifiers

PMID42232422
PMCPMC13224157

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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.