Evidence map›Paper›PMID 42683304›Full record

ArticleMedeniyet medical journal2026

Differentiating Pure and Mixed Mucinous Breast Carcinoma Using Multimodality Imaging: A Retrospective Single-Center Study.

Gülnur Erdem, Mahmut Bilal Dogan, Mizgin Yamer, Fatma Yilmazer, Gözde Kir, Hakan Baysal, Nesrin Gunduz

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Article in Medeniyet medical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Gülnur Erdemİstanbul Medeniyet University Faculty of Medicine, Department of Radiology, İstanbul, Türkiye.ORCID 0000-0003-2200-8620
Mahmut Bilal DoganMarmara University Faculty of Medicine, Department of Radiology, İstanbul, Türkiye.ORCID 0000-0001-7063-7371
Mizgin Yamerİstanbul Medeniyet University Faculty of Medicine, Department of Radiology, İstanbul, Türkiye.ORCID 0009-0000-3264-1986
Fatma Yilmazerİstanbul Medeniyet University Faculty of Medicine, Department of Pathology, İstanbul, Türkiye.ORCID 0000-0002-9860-5918
Gözde Kirİstanbul Medeniyet University Faculty of Medicine, Department of Pathology, İstanbul, Türkiye.ORCID 0000-0003-1933-9824
Hakan Baysalİstanbul Medeniyet University Faculty of Medicine, Department of General Surgery, İstanbul, Türkiye.ORCID 0000-0003-3604-6177
Nesrin Gunduzİstanbul Medeniyet University Faculty of Medicine, Department of Radiology, İstanbul, Türkiye.ORCID 0000-0001-8754-5676

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to evaluate the efficacy of mammography, ultrasound, and magnetic resonance imaging (MRI) features in differentiating pure from mixed mucinous breast carcinoma and in identifying imaging characteristics specific to each subtype. Methods: This retrospective single-center study included 68 patients diagnosed with mucinous breast carcinoma between 2017 and 2024. The tumors were classified as pure or mixed mucinous breast carcinomas based on histopathological findings. All available mammography, ultrasound, and MRI examinations were evaluated by a radiologist blinded to the histopathological subtypes. The features, such as tumor shape, margin, signal intensity, mammographic density, echogenicity, and calcifications, were assessed to identify distinctive patterns associated with pure and mixed mucinous breast tumors. Results: Among the 68 patients, 31 (45.6%) had pure mucinous tumors, while 37 (54.4%) had mixed tumors. On ultrasound, pure mucinous carcinomas more frequently demonstrated an oval shape and a homogeneous internal echo pattern, whereas mixed tumors more frequently exhibited an irregular shape (p<0.05). Mammography showed that non-circumscribed margins were significantly more common in mixed tumors than in pure tumors (p=0.02). On MRI, pure mucinous carcinomas predominantly exhibited oval or lobulated shapes, whereas mixed tumors more frequently exhibited irregular shapes (p=0.02). Pure tumors also showed higher T2 signal intensity (p=0.02) and significantly higher median apparent diffusion coefficient (ADC) values than mixed tumors (1815 [interquartile range (IQR), 1596-2062.5] vs. 1336.5 [IQR, 904.25-1602.5]×10 Conclusions: A multimodal imaging approach facilitates differentiation between pure and mixed mucinous breast carcinomas. Among the evaluated modalities, MRI provided the greatest discriminatory value, particularly through T2 signal intensity and ADC measurements, and may complement core needle biopsy when tissue sampling is limited.

Indexed as

mammographymixed mucinous breast carcinomaMRIPure mucinous breast carcinomaultrasound

Identifiers

PMID42683304
PMCPMC13586894

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