Evidence map›Paper›PMID 30894505›Full record

ReviewThe American journal of case reports2019

Increasing Size of Cholesterol Granuloma of the Breast in the Vicinity of a Previous Breast Biopsy: Imaging Features and Review of the Literature.

Suk Jung Kim

Open access · hybridAbstract readCase ReportsReview
In one paragraph

Review in The American journal of case reports, 2019. 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
0.6field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Cholesterol granuloma mimicking ovarian cancer.International journal of clinical and experimental pathology · 2021
    Article
  2. 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

1 author at 1 institution in 1 country.

Suk Jung KimDepartment of Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea.
Inje University Haeundae Paik Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Cholesterol granuloma is a benign condition that can occur in the breast following trauma, breast biopsy, or surgical procedures. Cholesterol granuloma can mimic breast cancer on imaging studies. This report is of a case of an enlarging breast mass due to a repeat needle biopsy in the vicinity of a previous biopsy that resulted in a cholesterol granuloma that appeared to increase in size on ultrasound imaging. The mammographic and high-resolution sonographic imaging features of cholesterol granuloma of the breast are described, with a review of the literature of published cases of cholesterol granuloma of the breast diagnosed on imaging. CASE REPORT A 52-year-old woman had undergone multiple rounds of breast ultrasound scans for multiple breast nodules. At six-month follow-up with a needle biopsy was performed that showed benign cystic change. At 18-months follow-up high-resolution sonographic imaging showed a circumscribed, oval, hypoechoic mass with a benign morphology in the vicinity of the biopsy site. The size of the hypoechoic nodule increased progressively, and histopathology confirmed the diagnosis of a benign cholesterol granuloma. CONCLUSIONS This case demonstrated that cholesterol granuloma of the breast can increase in size after repeats adjacent breast biopsy, and may retain benign morphological features on ultrasound imaging, despite increasing in size.

Indexed as

CholesterolBiopsy, NeedleBreast DiseasesFemaleGranuloma, Foreign-BodyHumansMiddle AgedUltrasonography, MammaryCholesterol

Identifiers

PMID30894505
PMCPMC6439936
OpenAlexW2923584443

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.