Evidence map›Paper›PMID 37925875›Full record

ArticleBreast (Edinburgh, Scotland)2023

Correlation between the CEM imaging characteristics and different molecular subtypes of breast cancer.

Na Li, Weiyun Gong, Yuanzhong Xie, Lei Sheng

Abstract read
In one paragraph

Article in Breast (Edinburgh, Scotland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

10 citing papers in PubMed.

  1. Article
  2. Contrast-enhanced mammography based quantitative and qualitative feature analysis across different breast cancer molecular subtypes.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
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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.

Na LiDepartment of Medical Imaging, Affiliated Hospital of Jining Medical University, Jining, 272000, China. Electronic address: 2390965181@qq.com.
Weiyun GongClinic Imaging Center, The Affiliated Tai'an City Central Hospital of Qingdao University, Tai'an, 271000, China.
Yuanzhong XieClinic Imaging Center, The Affiliated Tai'an City Central Hospital of Qingdao University, Tai'an, 271000, China.
Lei ShengClinic Imaging Center, The Affiliated Tai'an City Central Hospital of Qingdao University, Tai'an, 271000, China. Electronic address: sl9266@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the correlation between the contrast-enhanced mammography (CEM) imaging characteristics and different molecular subtypes of breast cancer (BC).

methodsWe retrospectively included 313 eligible female patients who underwent CEM examination and surgery in our hospital from July 2017 to July 2021. Their lesions were confirmed on histopathological examination and immunohistochemical analysis. BC was divided into luminal A, luminal B, HER2-enriched, and triple-negative BC (TNBC) subtypes according to immunohistochemical markers. Nine features were extracted from CEM images, including tumor shape, margins, spiculated mass, lobulated mass, malignant calcification, lesion conspicuity, internal enhancement pattern, multifocal mass, and swollen axillary lymph nodes. Statistical analysis was performed using SPSS 25.0. Univariate analysis and binomial regression were used to analyze the correlation between CEM imaging features and BC molecular subtypes.

resultsThere were 184 (58.8 %) Luminal A, 44 (14.1 %) Luminal B, 47 (15.0 %) HER-2-enriched and 38 (12.1 %) TNBC, respectively. Molecular subtypes were significantly related to the tumor shape, margins, spiculated mass, internal enhancement pattern, malignant calcification and swollen axillary lymph nodes. Spiculated and calcified tumors were associated with Luminal subtypes, especially Luminal B (P < 0.05). Irregular tumor shape and malignant calcification were associated with HER-2-enriched subtype (P < 0.05). Oval or round tumor shape, rim enhancement, and swollen axillary lymph nodes were associated with TNBC (P < 0.05).

conclusionCEM imaging features could distinguish BC molecular subtypes. In particular, TNBC showed oval or round tumor shape, rim enhancement, and swollen axillary lymph nodes, providing insights into the diagnosis and prognosis of TNBC.

Indexed as

Breast NeoplasmsCalcinosisTriple Negative Breast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleHumansLymph NodesMammographyPrognosisRetrospective StudiesErb-b2 Receptor Tyrosine KinasesBreast cancerCEMLuminal BMolecular subtypesTNBC

Identifiers

PMID37925875
PMCPMC10661457

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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.