Evidence map›Paper›PMID 41164133›Full record

ArticleFrontiers in oncology2025

Contrast-enhanced ultrasound diagnosis and efficacy prediction of primary breast lymphoma: a case report and literature review.

Siqi Tang, Yuqin Ma, Xiaochen Zhan, Jianghao Lu, Tingting Wu, Peng Zhou

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. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Siqi Tang *Department of Ultrasound, The First Affiliated Hospital of Shenzhen University, The Second People's Hospital of Shenzhen, Shenzhen, China.
Yuqin Ma *Department of Ultrasound, The First Affiliated Hospital of Shenzhen University, The Second People's Hospital of Shenzhen, Shenzhen, China.
Xiaochen ZhanDepartment of Ultrasound, The First Affiliated Hospital of Shenzhen University, The Second People's Hospital of Shenzhen, Shenzhen, China.
Jianghao LuDepartment of Ultrasound, The First Affiliated Hospital of Shenzhen University, The Second People's Hospital of Shenzhen, Shenzhen, China.
Tingting WuDepartment of Pathology, The First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China.
Peng ZhouDepartment of Ultrasound, The First Affiliated Hospital of Shenzhen University, The Second People's Hospital of Shenzhen, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary breast lymphoma (PBL) is a rare entity, accounting for less than 1% of all breast malignancies. PBL is often difficult to differentiate from other benign and malignant breast tumors. This case report describes the contrast-enhanced ultrasound (CEUS) diagnosis of PBL in a 34-year-old female patient, initially presenting with a left breast lump. CEUS revealed some distinctive features: diffuse hyperenhancement with the "floating vessel" sign. These findings enabled a timely diagnosis. Histopathological analysis confirmed diffuse large B-cell lymphoma. After more than two years of chemotherapy, CEUS revealed significant lesion shrinkage with well-defined margins alongside delayed arrival time, reduced peak intensity, and a decreased area under the curve, collectively indicating a favorable chemotherapeutic response. Eventually, the patient underwent surgery, and pathological examination confirmed the absence of significant lymphoma cells following chemotherapy. This case underscores the value of CEUS in identifying PBL and assessing chemotherapy efficacy through qualitative characterization and quantitative parameters, thereby demonstrating its dual role in both lesion identification and therapeutic monitoring. It also emphasizes the significance of including lymphoma in the differential diagnosis of breast masses.

Indexed as

case reportcontrast-enhanced ultrasoundimaging diagnosisprimary breast lymphomaultrasound

Identifiers

PMID41164133
PMCPMC12558826

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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.