Evidence map›Paper›PMID 39239244›Full record

ArticleWorld journal of radiology2024

Multimodal imaging for the diagnosis of oligodendroglioma associated with arteriovenous malformation: A case report.

Peng Guo, Wei Sun, Ling-Xie Song, Wen-Yu Cao, Jin-Ping Li

Abstract readCase Reports
In one paragraph

Article in World journal of radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Co-occurrence of pediatric-type diffuse high-grade gliomas with arteriovenous malformations: case report and narrative literature review.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
    Review
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

5 authors.

Peng GuoDepartment of Neurosurgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Wei SunDepartment of Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Ling-Xie SongDepartment of Pathology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Wen-Yu CaoDepartment of Neurosurgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Jin-Ping LiDepartment of Neurosurgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China. ljp6855@aliyun.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rare co-occurrence of oligodendroglioma and arteriovenous malformation (AVM) in the same intracranial location. CASE SUMMARY: In a 61-year-old man presenting with progressive headaches, is described in this case study. Preoperative multimodal imaging techniques (computed tomography, magnetic resonance imaging, magnetic resonance spectroscopy, digital subtraction angiography, and computed tomography angiography) were employed to detect hemorrhage, cystic and solid lesions, and arteriovenous shunting in the right temporal lobe. The patient underwent right temporal craniotomy for lesion removal, and postoperative pathological analysis confirmed the presence of oligodendroglioma (World Health Organization grade II, not otherwise specified) and AVM.

conclusionThe preoperative utilization of multimodal imaging examination can help clinicians reduce the likelihood of misdiagnosis or oversight of these conditions, and provides important information for subsequent treatment. This case supports the feasibility of craniotomy for the removal of glioma with AVM.

Indexed as

AngiogliomaArteriovenous malformationCase reportMultimodal imagingOligodendroglioma

Identifiers

PMID39239244
PMCPMC11372549

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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.