Evidence map›Paper›PMID 39583222›Full record

ArticleRadiology case reports2025

Usefulness of arterial spin labeling MR angiography as preprocedural mapping for the intra-arterial chemotherapy in patients with maxillary sinus cancer: A case report.

Isaku Oka, Akira Yogi, Kazuki Ishikawa, Joichi Heianna, Hiroyuki Maeda, Akihiro Nishie

Abstract readCase Reports
In one paragraph

Article in Radiology case reports, 2025. 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. 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

6 authors.

Isaku OkaDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa 903-0215, Japan.
Akira YogiDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa 903-0215, Japan.
Kazuki IshikawaDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa 903-0215, Japan.
Joichi HeiannaDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa 903-0215, Japan.
Hiroyuki MaedaDepartment of Otorhinolaryngology, Head and Neck Surgery, Graduate School of Medical Science, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa 903-0215, Japan.
Akihiro NishieDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa 903-0215, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arterial spin labeling (ASL) magnetic resonance angiography (MRA) (ASL-MRA) is a newly developed method that can visualize small arteries, particularly those running tortuously and inferiorly at slow flow rates. It provides excellent visualization of the external carotid artery system, with superior performance in visualizing the middle meningeal artery (MMA) compared to that of computed tomography angiography (CTA). Here, we report a case of maxillary sinus carcinoma in which ASL-MRA revealed an ipsilateral ophthalmic artery originating from the MMA that was not visualized on CTA. Volume rendering or maximum intensity projection images of CTA may fail to depict small arteries that run close to bony structures, including anomalies of the MMA originating from the external carotid artery system. In such cases, ASL-MRA may serve as a useful tool to easily visualize the arteries.

Indexed as

Arterial spin labelingComputed tomography angiographyInternal maxillary arteryMagnetic resonance angiographyMiddle meningeal arteryOphthalmic artery

Identifiers

PMID39583222
PMCPMC11585871

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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.