Evidence map›Paper›PMID 41484792›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2026

Contrast-enhanced mammography based quantitative and qualitative feature analysis across different breast cancer molecular subtypes.

Yong Ping, YiLun Li, Tianyun Qu, Yidi Qin, Yang Zhao, Bo Shi, Xiaocui Rong, Haoqi Wang, Tao Wang, Jianhua Zhang and 1 more

Abstract read
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Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 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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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Yong PingDepartment of Radiology, The Fourth Hospital of Hebei Medical University, No. 12, Health Road, Chang'an District, Shijiazhuang City, Hebei Province, 050000, China.
YiLun LiBreast Cancer Department, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, China.
Tianyun QuDepartment of Radiology, The Fourth Hospital of Hebei Medical University, No. 12, Health Road, Chang'an District, Shijiazhuang City, Hebei Province, 050000, China.
Yidi QinDepartment of Radiology, Shijiazhuang Hospital of Traditional Chinese Medicine, Shijiazhuang, Hebei Province, 050081, China.
Yang ZhaoOffice of Scientific Research, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, China.
Bo ShiDepartment of Radiology, The Fourth Hospital of Hebei Medical University, No. 12, Health Road, Chang'an District, Shijiazhuang City, Hebei Province, 050000, China.
Xiaocui RongDepartment of Radiology, The Fourth Hospital of Hebei Medical University, No. 12, Health Road, Chang'an District, Shijiazhuang City, Hebei Province, 050000, China.
Haoqi WangBreast Cancer Department, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000, China.
Tao WangDepartment of Radiology, Shijiazhuang Hospital of Traditional Chinese Medicine, Shijiazhuang, Hebei Province, 050081, China.
Jianhua ZhangXiongxian Hospital, Baoding City, Hebei Province, 071800, China.
Jing XueDepartment of Radiology, The Fourth Hospital of Hebei Medical University, No. 12, Health Road, Chang'an District, Shijiazhuang City, Hebei Province, 050000, China. xue7574@hebmu.edu.cn.

Funding

Medical Science Research Project of Hebei 20221342Medical Science Research Project of Hebei 20230863The S&T Program of Hebei 20377783D
6 · The paper itself

Abstract

objectiveTo investigate the imaging manifestations of different molecular subtypes of breast cancer (BC) by contrast enhanced mammography (CEM).

methodsFrom April 2019 to January 2022, 183 BC patients with suspected malignant mass underwent CEM examination were included. The differences in imaging features among different subtypes of breast cancer, as well as the detailed correlations, were determined using chi-square test, cross-contingency table method, and multivariate logistic analysis.

resultsThere were significant differences among four BC molecular subtypes in terms of lesion size (C = 0.306, P = 0.003), morphology (C = 0.296, P = 0.000), enhancement pattern (C = 0.461, P = 0.000), time-gray curve type (C = 0.296, P = 0.000), and the ration of presence of microcalcification (C = 0.246, P = 0.006). No significant difference were found in age, lesion margin, enhancement degree and background parenchyma enhancement of BC among different tumor subtypes. Luminal A group was mostly characterized with lesion size ≤ 2 cm (63%), and showed high ratio of heterogeneous enhancement (90.0%). Luminal B type was more featured by mass-appearance (74.6%), circular margin (40.9%), and plateau curve (45.8%). BC with HER-2 overexpression exhibited high proportion of non-mass lesions (66.7%). Triple-negative BC was more common with mass-type lesion (91.3%), oval shape (47.6%) and rim enhancement (66.7%).

conclusionIn summary, the imaging features of lesion size, morphology, enhancement patterns and perfusion change on CEM images in BC vary among different molecular subtypes., aiding in preliminary prediction and analysis of the molecular subtypes. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Breast NeoplasmsContrast MediaMammographyAdultAgedFemaleHumansMiddle AgedContrast MediaBreast cancerContrast enhanced mammographyImmunohistochemistryMolecular typing

Identifiers

PMID41484792
PMCPMC12865941

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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.