Evidence map›Paper›PMID 32577143›Full record

ArticleRadiology case reports2020

The imaging findings of Peliosis hepatis on gadoxetic acid enhanced MRI.

Morikatsu Yoshida, Daisuke Utsunomiya, Sentaro Takada, Yoshihiro Komohara, Tomohiro Mizoshiri, Seitaro Oda, Kazunori Harada, Osamu Ikeda

Open access · goldAbstract readCase Reports
In one paragraph

Article in Radiology case reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Hepatic peliosis in a newborn - A case report and review of the literature.International journal of surgery case reports · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. 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

8 authors at 4 institutions in 1 country.

Morikatsu YoshidaDepartment of Radiology, Amakusa Medical Center, 854-1 Jikiba, Kameba, Amakusa City, Kumamoto 863-0046, Japan.
Daisuke UtsunomiyaDepartment of Radiology, Yokohama City University School of Medicine.
Sentaro TakadaDepartment of Radiology, Japanese Red Cross Kumamoto Hospital.
Yoshihiro KomoharaDepartment of Cell Pathology Graduate of School of Medicine, Kumamoto University.
Tomohiro MizoshiriDepartment of Radiology, Amakusa Medical Center, 854-1 Jikiba, Kameba, Amakusa City, Kumamoto 863-0046, Japan.
Seitaro OdaDepartment of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University.
Kazunori HaradaDepartment of Surgery, Amakusa Medical Center.
Osamu IkedaDepartment of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University.
Kumamoto University · JPTokyo-Kita Medical Center · JPJapanese Red Cross Kumamoto Hospital · JPYokohama City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peliosis hepatis involves multiple blood-filled cystic spaces in the hepatic parenchyma. Using conventional imaging, distinguishing PH from other malignancies can be difficult. The findings of Peliosis hepatis on gadoxetic acid (Gd-EOB) enhanced magnetic resonance imaging are not well reported. Therefore, we report the imaging features of pathologically proven PH. On the hepatobiliary phase of Gd-EOB magnetic resonance imaging, most lesions showed unenhanced areas, but some lesions showed central enhancement "halo sign."

Indexed as

Gadoxetic acid enhanced magnetic resonance imagingHepatobiliary phasePeliosis hepatis

Identifiers

PMID32577143
PMCPMC7303918
OpenAlexW3036108089

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.