Evidence map›Paper›PMID 41089520›Full record

ArticleFrontiers in oncology2025

Benign tumor mimicking cancer in breast: a case report.

Tingting Ding, Yu Zheng, Jianyong Zhang, Yunsong Peng

Abstract readCase Reports
In one paragraph

Article in Frontiers in oncology, 2025. 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

4 authors.

Tingting DingDepartment of Pathology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Yu ZhengDepartment of Breast Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Jianyong ZhangDepartment of Vascular and Thyroid Surgery, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
Yunsong PengDepartment of Medical Imaging, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast granular cell tumor (BGCT) is a rare neoplasm that typically presents as a benign lesion but is frequently misdiagnosed as breast cancer prior to biopsy. Herein, we report a case of BGCT that was initially suspected to be breast cancer based on preoperative physical examination and imaging findings. A 39-year-old Asian woman presented with a firm and painless mass in the right breast. Color Doppler ultrasonography revealed a 15 mm × 15 mm × 14 mm nodule in the upper inner quadrant of the right breast without obvious blood flow signal. On magnetic resonance imaging (MRI), dynamic contrast-enhanced sequences demonstrated homogeneous enhancement. Both ultrasonography and MRI reported the lesion as the Breast Imaging Reporting and Data System (BI-RADS) Category 4B. Based on these findings, the patient was clinically suspected to be an early breast cancer. A surgical plan was formulated, beginning with an excisional frozen section with negative margins and proceeding to breast-conserving surgery if necessary. Frozen section analysis confirmed the presence of a tumor but could not determine whether the lesion was benign, malignant, or borderline. Histopathological examination with hematoxylin-eosin staining and immunohistochemistry ultimately established the diagnosis of BGCT. Early and accurate diagnosis is crucial for developing appropriate treatment plans for breast neoplasms. Given the unique characteristics and rarity of these tumors, clinicians, radiologists and pathologists should remain vigilant and consider the possibility of BGCT in the differential diagnosis.

Indexed as

breast cancerbreast granular cell tumorhistopathologymisdiagnosisradiology

Identifiers

PMID41089520
PMCPMC12515652

What OpenQuestion holds

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Registered trials

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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.