Evidence map›Paper›PMID 42403649›Full record

ArticleRadiology case reports2026

Intradural extramedullary cavernous malformation: A common lesion in an uncommon location.

Jonathan Alexander, Jasmine Leewong, Christian Burgos-Sanchez, Benjamin Rosen, Erik Dedekam, Daniel Bess

Abstract readCase Reports
In one paragraph

Article in Radiology case reports, 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.

Jonathan AlexanderDepartment of Radiology, Madigan Army Medical Center, 9040A Jackson Ave, Joint Base Lewis-McChord, WA 98431, USA.
Jasmine LeewongDepartment of Radiology, Madigan Army Medical Center, 9040A Jackson Ave, Joint Base Lewis-McChord, WA 98431, USA.
Christian Burgos-SanchezDepartment of Radiology, Madigan Army Medical Center, 9040A Jackson Ave, Joint Base Lewis-McChord, WA 98431, USA.
Benjamin RosenDepartment of Pathology, Madigan Army Medical Center, 9040A Jackson Ave, Joint Base Lewis-McChord, WA 98431, USA.
Erik DedekamDepartment of Radiology, Madigan Army Medical Center, 9040A Jackson Ave, Joint Base Lewis-McChord, WA 98431, USA.
Daniel BessDepartment of Radiology, Madigan Army Medical Center, 9040A Jackson Ave, Joint Base Lewis-McChord, WA 98431, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intradural extramedullary cavernous malformations (IECM) are an uncommon manifestation of a typically intracranial vascular lesion, with few reports describing their imaging characteristics. Hemorrhage is a frequent presenting feature, often resulting in subarachnoid blood products and clinical deterioration. We present a 78-year-old female undergoing treatment for low-stage endometrial carcinoma who was found to have layering subarachnoid hemorrhage on lumbar spine MRI. Subsequent contrast-enhanced imaging of the neuroaxis revealed multicompartment intraspinal hemorrhage and a 1.6-cm intradural, extramedullary mass at T7 with cord compression. The lesion was surgically resected for presumed metastasis. However, pathology demonstrated only hemorrhage and fibrous tissue without malignancy, favoring cavernous malformation. Retrospectively, characteristic imaging findings such as lack of internal enhancement and stigmata of prior hemorrhage help differentiate this from metastasis. This case highlights an atypical location and presentation of a common vascular lesion, emphasizing the need to include cavernous malformation in the differential for intradural extramedullary masses.

Indexed as

CavernomaCavernous malformationIntradural extramedullaryMRINeuroradiologySpinal hemorrhage

Identifiers

PMID42403649
PMCPMC13331779

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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.