Evidence map›Paper›PMID 39239594›Full record

ArticleBJR case reports2024

A case of adrenal oncocytoma: reviewing the literature of radiological finding.

Maho Sakano, Yukari Wakabayashi, Natsuhiko Shirota, Yoshio Ohno, Aoi Suketa, Toshitaka Nagao, Kazuhiro Saito

Abstract readCase Reports
In one paragraph

Article in BJR case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Maho SakanoDepartment of Radiology, Tokyo Medical University, Shinjuku-ku, Tokyo, 1600023, Japan.
Yukari WakabayashiDepartment of Radiology, Tokyo Medical University, Shinjuku-ku, Tokyo, 1600023, Japan.
Natsuhiko ShirotaDepartment of Radiology, Tokyo Medical University, Shinjuku-ku, Tokyo, 1600023, Japan.
Yoshio OhnoDepartmet of Urology, Tokyo Medical University, Shinjuku-ku, Tokyo, 1600023, Japan.
Aoi SuketaDepartment of Diagnostic Pathology, Tokyo Medical University, Shinjuku-ku, Tokyo, 1600023, Japan.
Toshitaka NagaoDepartment of Diagnostic Pathology, Tokyo Medical University, Shinjuku-ku, Tokyo, 1600023, Japan.
Kazuhiro SaitoDepartment of Radiology, Tokyo Medical University, Shinjuku-ku, Tokyo, 1600023, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oncocytoma is a tumour that predominantly occurs in the kidneys and salivary glands. Only approximately 200 cases have been reported to be of adrenal origin to date, and only a few reports about its radiological findings have been published so far. Herein, we present the CT and MRI findings of an adrenal oncocytoma observed in a patient suspected of having mitochondrial abnormalities, along with the pathological findings. The tumour was roughly classified into three areas: a hypercellular region, a region containing fibrous tissue, and an oedematous region. These corresponded to the restricted diffusion area on the apparent diffusion coefficient map, the gradually enhanced area at the secretory phase on contrast-enhanced CT scan, and the obvious hyperintensity on the T2-weighted image, respectively. We also discuss these findings in the context of previously reported radiological findings in the literature. Diagnosing adrenal oncocytoma through imaging is challenging, and it is crucial to consider the possibility of malignancy while making the differential diagnosis. Small-sized homogenous tumours may be hard to differentiate from lipid-poor adenomas, while larger inhomogeneous ones are hard to distinguish from adrenal cancer.

Indexed as

adrenal adenomaadrenal oncocytomaCTMRIoncocytoma

Identifiers

PMID39239594
PMCPMC11377097

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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.