Evidence map›Paper›PMID 33926522›Full record

ArticleBreast cancer research : BCR2021

Early assessment of shear wave elastography parameters foresees the response to neoadjuvant chemotherapy in patients with invasive breast cancer.

Juanjuan Gu, Eric C Polley, Max Denis, Jodi M Carter, Sandhya Pruthi, Adriana V Gregory, Judy C Boughey, Robert T Fazzio, Mostafa Fatemi, Azra Alizad

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Breast cancer research : BCR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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  16. Optimization of the Tracking Beam Sequence in Harmonic Motion Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 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

10 authors at 1 institution in 1 country.

Juanjuan GuDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, 200 First Street SW, Rochester, MN, 55905, USA.
Eric C PolleyDepartment of Health Science, Mayo Clinic College of Medicine and Science, Rochester, MN, 55905, USA.
Max DenisDepartment of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN, 55905, USA.
Jodi M CarterDepartment of Laboratory Medicine & Pathology, Mayo Clinic College of Medicine and Science, Rochester, MN, 55905, USA.
Sandhya PruthiDepartment of Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, 55905, USA.
Adriana V GregoryDepartment of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN, 55905, USA.
Judy C BougheyDepartment of Surgery, Mayo Clinic College of Medicine and Science, Rochester, MN, 55905, USA.
Robert T FazzioDepartment of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN, 55905, USA.
Mostafa FatemiDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, 200 First Street SW, Rochester, MN, 55905, USA.
Azra AlizadDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, 200 First Street SW, Rochester, MN, 55905, USA. Alizad.Azra@mayo.edu.ORCID 0000-0002-7658-1572
Mayo Clinic · US

Funding

Multi-parameter Nonlinear Elasticity Mapping of Breast MassesR01CA195527 · NCI · MAYO CLINIC ROCHESTER · PI ALIZAD, AZRA, FATEMI, MOSTAFA · 2016 to 2020
$2.8M
Classification of breast masses based on visco-elastic propertiesR01CA168575 · NCI · MAYO CLINIC ROCHESTER · PI FATEMI, MOSTAFA, INSANA, MICHAEL F · 2013 to 2018
$2.5M
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 CA148994NCI NIH HHS R01 CA168575NCI NIH HHS R01 CA195527NIH HHS R01CA168575NIH HHS R01CA195527
6 · The paper itself

Abstract

backgroundEarly prediction of tumor response to neoadjuvant chemotherapy (NACT) is crucial for optimal treatment and improved outcome in breast cancer patients. The purpose of this study is to investigate the role of shear wave elastography (SWE) for early assessment of response to NACT in patients with invasive breast cancer.

methodsIn a prospective study, 62 patients with biopsy-proven invasive breast cancer were enrolled. Three SWE studies were conducted on each patient: before, at mid-course, and after NACT but before surgery. A new parameter, mass characteristic frequency (f

resultsA significant difference was found for SWE parameters measured before, at mid-course, and after NACT between the responders and non-responders. The combination of E

conclusionsOur study findings highlight the value of SWE estimation in the mid-course of NACT for the early prediction of treatment response. For ER+ tumors, the addition of Ki-67improves the predictive power of SWE. Moreover, f

Indexed as

Elasticity Imaging TechniquesAdultAgedBiomarkers, TumorBreast NeoplasmsFemaleHumansMiddle AgedNeoadjuvant TherapyProspective StudiesROC CurveTreatment OutcomeBiomarkers, TumorBreast cancerImmunohistochemical biomarkersKi-67Mass characteristic frequencyNeoadjuvant chemotherapyShear wave elastography

Identifiers

PMID33926522
PMCPMC8082810
OpenAlexW3157539278

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.