Evidence map›Paper›PMID 40889395›Full record

ArticleJournal of neurosurgery. Case lessons2025

Correlation between balanced fast field echo sequence and intraoperative findings in the surgical treatment of an intradural spinal arachnoid cyst: illustrative case.

Audrey Huang, Jessica Dorilio, Hasit Mehta, Jared M Pisapia

Abstract read
In one paragraph

Article in Journal of neurosurgery. Case lessons, 2025. 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

4 authors.

Audrey HuangSchool of Medicine, New York Medical College, Valhalla, New York.ORCID 0009-0000-5214-1321
Jessica DorilioSchool of Medicine, New York Medical College, Valhalla, New York.
Hasit MehtaSchool of Medicine, New York Medical College, Valhalla, New York.
Jared M PisapiaSchool of Medicine, New York Medical College, Valhalla, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpinal arachnoid cysts can cause myelopathy through spinal cord compression. While MRI is the standard for diagnosis, traditional sequences may not clearly define cyst borders and septations, which are important for guiding surgical intervention. Balanced fast field echo (B-FFE) is an MRI sequence that highlights small arachnoid membranes within and at the borders of CSF spaces. OBSERVATIONS: The authors report the case of a 13-year-old female who presented with progressive lower extremity paresthesias and weakness and urinary incontinence. MRI revealed an intradural cervicothoracic arachnoid cyst (C7-T3) dorsal to the spinal cord. B-FFE was used to identify the upper and lower borders of the intradural arachnoid cyst and its internal septations. These findings corresponded precisely with intraoperative findings and guided fenestration at the cyst's cranial, caudal, and internal septal ends. Postoperatively, the patient's symptoms resolved, and MRI confirmed the resolution of mass effect. At the 10- and 30-month follow-ups, there was no evidence of cyst recurrence clinically or radiographically. LESSONS: The authors raise awareness of the clinical utility of B-FFE imaging for intradural spinal arachnoid cysts. Due to its ability to demonstrate cyst borders and internal septations, it offers an alternative to more invasive tests, especially in the pediatric population. https://thejns.org/doi/10.3171/CASE25145.

Indexed as

balanced fast field echobalanced steady-state free precessionB-FFEmagnetic resonance imagingpediatric neuroimagingspinal arachnoid cyst

Identifiers

PMID40889395
PMCPMC12400851

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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.