Evidence map›Paper›PMID 39474510›Full record

ArticleCancer management and research2024

Case Report: Efficacy of Multiparameter MRI in Diagnosis of Chronic Breast Inflammation Complicated with Invasive Ductal Carcinoma and Ductal Carcinoma in situ.

Xia Zhao, Huimin Guo, Guangxi Shi, Bingying Li, Ning Wang

Abstract readCase Reports
In one paragraph

Article in Cancer management and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Xia Zhao *Department of Radiology, Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, 250014, People's Republic of China.ORCID 0000-0002-9001-7759
Huimin Guo *Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, People's Republic of China.
Guangxi ShiDepartment of Breast and Thyroid Surgery, Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, 250014, People's Republic of China.
Bingying LiDepartment of Radiology, Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, 250014, People's Republic of China.
Ning WangDepartment of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Incidental Enhancement Lesions (IELs) complicate patient management but may be detected through multiparameter MRI including dynamic contrast enhancement magnetic resonance imaging (DCE-MRI) and synthetic magnetic resonance imaging (syMRI). The multiparameter MRI model gave greater objectivity to avoid unnecessary biopsy. Case Presentation: A 60 year-old woman had a history of occasional right breast pain and a mass was identified in the right breast. A thickening in the upper quadrant of the right outer breast was found during physical examination but no mass was palpable. Breast dynamic contrast enhancement MRI and synthetic MRI were performed prior to ultrasound-guided biopsy of the right breast lesion. Resection of the right breast lesion and sentinel lymph node was performed 2 days later. Chronic inflammation, locally invasive ductal carcinoma and high-grade ductal carcinoma in situ were found by pathological examination. Discussion: Differentiation between benign and malignant breast IELs was facilitated by use of a multiparameter MRI model with DCE-MRI and syMRI, giving greater objectivity in differentiating between benign and malignant lesions.

Indexed as

breast cancerintraductal carcinomamagnetic resonance imaging

Identifiers

PMID39474510
PMCPMC11520920

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Registered trials

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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.