Evidence map›Paper›PMID 38028291›Full record

ArticleRadiology case reports2024

Characteristic findings of primary perirenal angiosarcoma on chemical shift subtraction magnetic resonance imaging (CSS-MRI): A case report.

Tetsuo Yamasaki, Shuji Nagata, Shuichi Tanoue, Mami Uegaki, Kiyoaki Nishihara, Jun Akiba, Tosi Abe

Erratum issuedOpen access · goldAbstract readCase Reports
In one paragraph

Article in Radiology case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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, top 50% of its field
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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Tetsuo YamasakiDepartment of Radiology, Kurume University School of Medicine, Kurume, Fukuoka, Japan.
Shuji NagataDepartment of Radiology, Kurume University School of Medicine, Kurume, Fukuoka, Japan.
Shuichi TanoueDepartment of Radiology, Kurume University School of Medicine, Kurume, Fukuoka, Japan.
Mami UegakiDepartment of Urolology, Kurume University School of Medicine, Kurume, Fukuoka, Japan.
Kiyoaki NishiharaDepartment of Urolology, Kurume University School of Medicine, Kurume, Fukuoka, Japan.
Jun AkibaDepartment of Pathology, Kurume University School of Medicine, Kurume, Fukuoka, Japan.
Tosi AbeDepartment of Radiology, Kurume University School of Medicine, Kurume, Fukuoka, Japan.
Kurume University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 70-year-old man with supraglottic carcinoma underwent computed tomography (CT) for staging purposes. A tumor measuring approximately 7 × 10 cm was found incidentally in the left perirenal space. The tumor showed homogeneous high signal intensity on chemical shift subtraction magnetic resonance imaging (CSS-MRI) suggesting the presence of minimal amounts of fat. Five months later, the tumor had grown to approximately 10 × 12 cm with indistinct margins. CSS-MRI showed high signal intensity in the tumor periphery only. The tumor was resected and the pathological diagnosis was angiosarcoma. Angiosarcomas are malignant endothelial vascular neoplasms that are highly invasive to their surroundings. Here we report a case of primary perirenal angiosarcoma that was difficult to differentiate from a dedifferentiated liposarcoma. On CSS-MRI, high signal intensity within a tumor may be a characteristic feature of primary perirenal angiosarcoma.

Indexed as

AngiosarcomaChemical shift magnetic resonance imagingDedifferentiated liposarcomaDynamic contrast-enhanced magnetic resonance imaging

Identifiers

PMID38028291
PMCPMC10652099
OpenAlexW4388325803

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.