Evidence map›Paper›PMID 34972741›Full record

ArticleIn vivo (Athens, Greece)

Associations Between Dynamic Contrast Enhanced Magnetic Resonance Imaging and Clinically Relevant Histopathological Features in Breast Cancer: A Multicenter Analysis.

Alexey Surov, Jin You Kim, Marco Aiello, Wei Huang, Thomas E Yankeelov, Andreas Wienke, Maciej Pech

Abstract readMulticenter Study
In one paragraph

Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Alexey SurovDepartment of Radiology and Nuclear Medicine, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany; Alexey.Surov@med.ovgu.de.
Jin You KimMedical Research Institute and Department of Radiology, Pusan National University School of Medicine, Busan, Republic of Korea.
Marco AielloRCCS SDN, Istituto di Ricerca, Naples, Italy.
Wei HuangAdvanced Imaging Research Center, Oregon Health & Science University, Portland, OR, U.S.A.
Thomas E YankeelovInstitute of Imaging Science, Vanderbilt University, Nashville, TN, U.S.A.
Andreas WienkeInstitute of Medical Epidemiology, Biostatistics, and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
Maciej PechDepartment of Radiology and Nuclear Medicine, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimTo provide data regarding relationships between quantitative dynamic contrast enhanced magnetic resonance imaging (DCE MRI) and prognostic factors in breast cancer (BC). PATIENTS AND

methodsData from 4 Centers (200 female patients, mean age, 51.2±11.5 years) were acquired. The following data were collected: histopathological diagnosis, tumor grade, stage, hormone receptor status, KI 67, and DCE MRI values including K

resultsDCE MRI values of different tumor subtypes overlapped significantly. There were no statistically significant differences of DCE MRI values between different tumor grades. All DCE MRI parameters correlated with KI-67: K

conclusionK

Indexed as

Breast NeoplasmsAdultBiomarkersContrast MediaFemaleHumansMagnetic Resonance ImagingMiddle AgedROC CurveBiomarkersContrast MediaBreast cancerDCE MRIhormone receptorKI 67

Identifiers

PMID34972741
PMCPMC8765187

What OpenQuestion holds

Textmetadata
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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.