Evidence map›Paper›PMID 30952880›Full record

ArticleScientific reports2019

Viscoelastic biomarker for differentiation of benign and malignant breast lesion in ultra- low frequency range.

Alireza Nabavizadeh, Mahdi Bayat, Viksit Kumar, Adriana Gregory, Jeremy Webb, Azra Alizad, Mostafa Fatemi

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Ultrasound Based Viscoelasticity Imaging Tool for Differentiation of Breast Lesions.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025
    Article
  4. Monocytes use protrusive forces to generate migration paths in viscoelastic collagen-based extracellular matrices.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Review
  7. VisR Ultrasound Improves Diagnosis of Breast Cancer by the Elastogram-to-B-Mode Ratio in a Blinded Reader Study.IEEE open journal of ultrasonics, ferroelectrics, and frequency control · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Mechanobiology in oncology: basic concepts and clinical prospects.Frontiers in cell and developmental biology · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. 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.

Alireza NabavizadehDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.ORCID http://orcid.org/0000-0002-5188-8025
Mahdi BayatDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
Viksit KumarDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
Adriana GregoryDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
Jeremy WebbDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
Azra AlizadDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.ORCID http://orcid.org/0000-0002-7658-1572
Mostafa FatemiDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, Rochester, Minnesota, USA. Fatemi.mostafa@mayo.edu.

Funding

Classification of breast masses based on visco-elastic propertiesR01CA168575 · NCI · MAYO CLINIC ROCHESTER · PI FATEMI, MOSTAFA, INSANA, MICHAEL F · 2013 to 2018
$2.5M
NCI NIH HHS R01 CA168575
6 · The paper itself

Abstract

Benign and malignant tumors differ in the viscoelastic properties of their cellular microenvironments and in their spatiotemporal response to very low frequency stimuli. These differences can introduce a unique viscoelastic biomarker in differentiation of benign and malignant tumors. This biomarker may reduce the number of unnecessary biopsies in breast patients. Although different methods have been developed so far for this purpose, none of them have focused on in vivo and in situ assessment of local viscoelastic properties in the ultra-low (sub-Hertz) frequency range. Here we introduce a new, noninvasive model-free method called Loss Angle Mapping (LAM). We assessed the performance results on 156 breast patients. The method was further improved by detection of out-of-plane motion using motion compensation cross correlation method (MCCC). 45 patients met this MCCC criterion and were considered for data analysis. Among this population, we found 77.8% sensitivity and 96.3% specificity (p < 0.0001) in discriminating between benign and malignant tumors using logistic regression method regarding the pre known information about the BIRADS number and size. The accuracy and area under the ROC curve, AUC, was 88.9% and 0.94, respectively. This method opens new avenues to investigate the mechanobiology behavior of different tissues in a frequency range that has not yet been explored in any in vivo patient studies.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBreastBreast NeoplasmsFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedMiddle AgedTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID30952880
PMCPMC6450913

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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.