Evidence map›Paper›PMID 37680249›Full record

ArticleJournal of clinical imaging science2023

Mammary Rosai-Dorfman disease: Rare benign mimic of breast malignant neoplasm.

Troy Nguyen, Malem Gutema, Jiquing Ye, Martine Susan Backenstoss

Open access · hybridAbstract readCase Reports
In one paragraph

Article in Journal of clinical imaging science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Troy NguyenCollege of Medicine, Lake Erie College of Osteopathic Medicine, Erie, United States.
Malem GutemaDepartment of Radiology, Rochester General Hospital, Rochester, New York, United States.
Jiquing YeDepartment of Pathology, Rochester General Hospital, Rochester, New York, United States.
Martine Susan BackenstossDepartment of Radiology, Rochester General Hospital, Rochester, New York, United States.
Rochester General Hospital · USLake Erie College of Osteopathic Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rosai-Dorfman disease (RDD), also known as sinus histiocytosis with massive lymphadenopathy, is an uncommon benign disorder characterized by the accumulation of activated histiocytes in affected tissues. While RDD typically involves lymph nodes, it may manifest as extranodal involvement. Breast involvement is an exceedingly rare presentation of this condition with <100 reported cases worldwide. This report presents a case of RDD in a 58-year-old male patient who presented with a palpable breast mass. Mammography and ultrasound imaging studies raised concerns for malignancy, prompting a breast biopsy. Histopathological examination revealed S100-positive pale histiocytes exhibiting emperipolesis, consistent with RDD. The management of extranodal RDD is individualized, as no standardized guidelines are currently available. However, surgical excision is recommended for unicentric breast lesions, which was performed in our case, resulting in complete remission. The patient has remained disease-free under surveillance with computed tomography scans. Our case underscores the importance of considering RDD in the differential diagnoses of breast masses and highlights the utility of surgical excision as an effective treatment option, especially for unicentric breast lesions of RDD.

Indexed as

Benign breast lesionBreastRosai-DorfmanSinus histiocytosis with massive lymphadenopathy

Identifiers

PMID37680249
PMCPMC10481821
OpenAlexW4386073754

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.