Evidence map›Paper›PMID 42636486›Full record

ArticleJournal of neurosurgery. Case lessons2026

Intraoperative ultrasound in spinal arachnoid cyst resection: illustrative cases.

Daniel T Lilly, Akshay Sharma, Michael Mann, Jenny Wu, Edward Benzel, Lilyana Angelov

Abstract read
In one paragraph

Article in Journal of neurosurgery. Case lessons, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

6 authors.

Daniel T LillyDepartment of Neurosurgery, Cleveland Clinic Foundation, Cleveland.
Akshay SharmaDepartment of Neurosurgery, Cleveland Clinic Foundation, Cleveland.
Michael MannDepartment of Neurosurgery, Case Western Reserve University School of Medicine, Cleveland.
Jenny WuDepartment of Diagnostic Radiology, Cleveland Clinic Foundation, Cleveland.
Edward BenzelDepartment of Neurosurgery, Cleveland Clinic Foundation, Cleveland.
Lilyana AngelovDepartment of Neurosurgery, Cleveland Clinic Foundation, Cleveland.ORCID 0000-0001-5210-4678

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntraoperative ultrasound (iUS) has emerged as a valuable imaging resource in neurosurgical procedures. To improve familiarity with iUS technology and optimize its usage, additional exposure and technical demonstrations are needed. Spinal arachnoid cysts (SACs) are rare spinal cord lesions most often treated with resection, with procedural challenges stemming from poor preoperative lesion visualization and the infrequency of the procedure. The authors present a case series to detail the use of iUS in assisting with the resection of SAC. OBSERVATIONS: The cases of 2 patients with symptomatic thoracic SAC are presented. Case 1 involves a patient undergoing a T3-4 laminectomy with SAC resection, and case 2 involves a patient undergoing T7-9 laminectomy and SAC resection. Use of iUS assisted with tailored durotomies, allowed for improved perioperative visualization of the lesions, and provided immediate postresection CSF flow feedback. Both patients noted subjective improvement following resection, and no surgical complications were observed. LESSONS: In SAC resection, iUS proved to be an effective tool by enhancing visualization, providing immediate feedback on resection efficacy, and limiting surgical risk. Real-time imaging allowing for improved surgical direction may decrease potential harm and contribute to improved outcomes. Increasing iUS use in neurosurgical procedures should prove beneficial. https://thejns.org/doi/10.3171/CASE251034.

Indexed as

intraoperative ultrasoundspinal arachnoid cyst resectionspine surgery

Identifiers

PMID42636486
PMCPMC13501930

What OpenQuestion holds

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Registered trials

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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.