Evidence map›Paper›PMID 34136044›Full record

ArticlePolish journal of radiology2021

Comparison of clinical and magnetic resonance imaging findings of triple-negative breast cancer with non-triple-negative tumours.

Duygu İmre Yetkin, Meltem Gulsun Akpınar, Gamze Durhan, Figen Basaran Demirkazik

Open access · diamondAbstract read
In one paragraph

Article in Polish journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 47% of its field
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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. 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
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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 at 2 institutions in 1 country.

Duygu İmre YetkinMidyat State of Hospital, Midyat/Mardin, Turkey.
Meltem Gulsun AkpınarHacettepe University Faculty of Medicine, Ankara, Turkey.
Gamze DurhanHacettepe University Faculty of Medicine, Ankara, Turkey.
Figen Basaran DemirkazikHacettepe University Faculty of Medicine, Ankara, Turkey.
Hacettepe University · TRSivas State Hospital · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTriple-negative breast cancer (TNBC) has some distinctive features. The aim of the study was to compare clinical and breast magnetic resonance imaging (MRI) findings of TNBC with non-triple-negative breast cancer (nTNBC) in molecular subtypes such as ADC (apparent diffusion coefficient) values, T2-weighted (T2W) image intensity, shape, margin, lymph node involvement, grade, multifocality, multicentricity, bilaterality, and enhancement pattern differences between tumour subtypes. MATERIAL AND

methodsA total of 141 patients who underwent breast biopsy at our institution between January 2010 and June 2018 were included in this study. Patients were divided into molecular subtypes according to hormone receptor status, and Ki-67 index. Tumour grade, enhancement patterns, age, lymph node involvement, ADC values, breast imaging reporting and data system (BI-RADS) category, bilaterality, multifocality, multicentricity, margin, shape, and T2W image intensity were evaluated for these subtypes.

resultsADC values were higher in triple-negative tumours than in luminal A and luminal B tumours (

conclusionsADC values, circumscribed margin, and rim enhancement can provide important information about the tumour's biological behaviour and the course of the disease.

Indexed as

ADCbreast MRItriple-negative tumours

Identifiers

PMID34136044
PMCPMC8186308
OpenAlexW3165379514

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.