Evidence map›Paper›PMID 41081190›Full record

ArticleQuantitative imaging in medicine and surgery2025

The value of breast ultrafast dynamic contrast-enhanced magnetic resonance imaging in diagnosing axillary lymph node metastasis in mass-type invasive ductal carcinoma of the breast.

Yang Li, Hui Liu, Hui Feng, Qian Xu, Robert Grimm, Lei Gao, Mengzhu Wang, Qi Wang, Lijia Wang

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 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
–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

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

9 authors.

Yang Li *Department of Medical Imaging, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Hui Liu *Department of Medical Imaging, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Hui FengDepartment of Medical Imaging, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Qian XuDepartment of Medical Imaging, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Robert GrimmResearch & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany.
Lei GaoDepartment of Medical Imaging, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Mengzhu WangMR Research Collaboration, Siemens Healthineers Ltd., Beijing, China.
Qi WangDepartment of Medical Imaging, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Lijia WangDepartment of Medical Imaging, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer (BC) is the most prevalent malignant tumor among women worldwide, significantly impacting women's health and lives. The accurate assessment of axillary lymph node (ALN) status is critical for BC staging, treatment planning, and the evaluation of overall survival outcomes. This study aimed to explore the relationship between preoperative ultrafast dynamic contrast-enhanced magnetic resonance imaging (UF-DCE MRI) parameters and ALN metastasis in patients with mass-type invasive ductal carcinoma (IDC) of the breast, and to construct a nomogram model for predicting ALN metastasis. Methods: Preoperative UF-DCE MRI images and medical records of 96 breast IDC patients (38 with ALN metastasis, 58 without) confirmed by pathology were retrospectively analyzed. Conventional MRI features, UF-DCE MRI parameters, DCE parameters, and clinical features were evaluated. Receiver operating characteristic (ROC) curves and nomograms for univariate parameters and combined diagnostic efficiency were constructed. Results: Time-to-enhancement (TTE), time-to-peak (TTP) after enhancement, and time to center of maximum slope (TTMS) were significantly lower in the ALN metastasis group (10.05±4.91 Conclusions: Multiple UF-DCE MRI parameters can predict ALN metastasis in patients with mass-like breast IDC before operation. The nomogram model combined with clinical and UF-DCE MRI parameters can better assist clinicians in making personalized treatment plans for patients.

Indexed as

axillary lymph node (ALN)Breast cancer (BC)golden-angle radial sparse parallel (GRASP)ultrafast dynamic contrast-enhanced magnetic resonance imaging (UF-DCE MRI)

Identifiers

PMID41081190
PMCPMC12514719

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.