Evidence map›Paper›PMID 38914022›Full record

ArticleJournal of neurosurgery. Case lessons2024

Successful detection of multiple communicating holes in multiple spinal extradural arachnoid cysts by using time-spatial labeling inversion pulse magnetic resonance imaging: illustrative case.

Yusuke Kagei, Tatsuya Ishibe, Yusuke Kanba, Masashi Tanaka

Abstract read
In one paragraph

Article in Journal of neurosurgery. Case lessons, 2024. 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.

Yusuke Kagei1Shiga Spine Center, Hino Memorial Hospital, Shiga, Japan; and.
Tatsuya Ishibe1Shiga Spine Center, Hino Memorial Hospital, Shiga, Japan; and.
Yusuke Kanba2Center for Spine Surgery, Japan Community Health Care Organization Tamatsukuri Hospital, Shimane, Japan.
Masashi Tanaka1Shiga Spine Center, Hino Memorial Hospital, Shiga, Japan; and.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpinal extradural arachnoid cysts (SEACs) communicate with the subarachnoid space through small communicating dural holes. The precise preoperative detection of all communicating holes, followed by minimally invasive dural closure, is the ideal treatment to prevent postoperative spinal deformities, especially in cases of multiple SEACs. However, standard imaging methods often fail to detect communicating hole locations. Although a few cases of successful single-hole detection via cinematic magnetic resonance imaging (MRI) have been reported, this modality's ability to detect multiple holes has not been demonstrated. OBSERVATIONS: The authors describe the case of a 14-year-old male with myelopathy due to multiple SEACs at T5-8 and T8-12. Myelography revealed a complete block at the T8 level; no cephalic cyst or communicating holes were identified. Time-spatial labeling inversion pulse (T-SLIP) MRI revealed cerebrospinal fluid flow into the cyst at T10 and T7. A limited laminectomy or hemilaminectomy was performed at T7 and T10, and two dural holes were closed without a total cystectomy. The patient's gait disturbance and rectal disorder disappeared. The cysts were confirmed to have completely disappeared on conventional MRI at 1 year postoperatively. LESSONS: T-SLIP MRI, a cinematic MRI, is useful for detecting multiple communicating holes in SEACs.

Indexed as

dural hole closuremultiple communicating holesmultiple spinal extradural arachnoid cyststime-SLIP MRItime-spatial labeling inversion pulse magnetic resonance imaging

Identifiers

PMID38914022
PMCPMC11201666

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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.