Evidence map›Paper›PMID 33994231›Full record

ArticleUltrasound in medicine & biology2021

Prediction of Invasive Breast Cancer Using Mass Characteristic Frequency and Elasticity in Correlation with Prognostic Histologic Features and Immunohistochemical Biomarkers.

Juanjuan Gu, Eric C Polley, Judy C Boughey, Robert T Fazzio, Mostafa Fatemi, Azra Alizad

Abstract read
In one paragraph

Article in Ultrasound in medicine & biology, 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
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Correlation between SWE parameters and histopathological features and immunohistochemical biomarkers in invasive breast cancer.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
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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

6 authors.

Juanjuan GuDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA.
Eric C PolleyDivision of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA.
Judy C BougheyDivision of Subspecialty General Surgery, Department of General Surgery, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA.
Robert T FazzioDepartment of Radiology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA.
Mostafa FatemiDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA.
Azra AlizadDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA; Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA. Electronic address: Alizad.Azra@mayo.edu.

Funding

Combined Acoustic Imaging and Viscoelastic Parameters Estimation in Breast CancerR01CA148994 · NCI · MAYO CLINIC ROCHESTER · PI ALIZAD, AZRA · 2011 to 2015
$2.4M
NCI NIH HHS R01 CA148994
6 · The paper itself

Abstract

This purpose of this study is to correlate a new shear-wave elastography (SWE) parameter, mass characteristic frequency (f

Indexed as

Elasticity Imaging TechniquesAdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsCorrelation of DataFemaleHumansImmunohistochemistryLymphatic MetastasisMiddle AgedNeoplasm InvasivenessPredictive Value of TestsPrognosisProspective StudiesBiomarkers, TumorBreast cancerImmunohistochemical biomarkersMass characteristic frequencyPrognostic histological featuresShear wave elastography

Identifiers

PMID33994231
PMCPMC8243825

What OpenQuestion holds

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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.