Evidence map›Paper›PMID 34329160›Full record

ArticleIEEE transactions on medical imaging2021

Quantitative Biomarkers for Cancer Detection Using Contrast-Free Ultrasound High-Definition Microvessel Imaging: Fractal Dimension, Murray's Deviation, Bifurcation Angle & Spatial Vascularity Pattern.

Redouane Ternifi, Yinong Wang, Eric C Polley, Robert T Fazzio, Mostafa Fatemi, Azra Alizad

Abstract read
In one paragraph

Article in IEEE transactions on medical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Multiscale OCTA framework for assessing choriocapillaris flow-void organisation in chronic central serous chorioretinopathy using a vascular coalescence index.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 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

6 authors.

Redouane Ternifi
Yinong Wang
Eric C Polley
Robert T Fazzio
Mostafa Fatemi
Azra Alizad

Funding

Using Label-free Ultrasound Angio-Morphometry Analysis for Improving Ultrasound Specificity in Breast Cancer Detection and Treatment MonitoringR01CA239548 · NCI · MAYO CLINIC ROCHESTER · PI ALIZAD, AZRA, FATEMI, MOSTAFA · 2019 to 2023
$2.9M
Multi-parameter Nonlinear Elasticity Mapping of Breast MassesR01CA195527 · NCI · MAYO CLINIC ROCHESTER · PI ALIZAD, AZRA, FATEMI, MOSTAFA · 2016 to 2020
$2.8M
Ultrasonic perfusion imaging of peripheral vascular diseaseR01HL148664 · NHLBI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ALIZAD, AZRA, DOBRUCKI, WAWRZYNIEC LAWRENCE · 2019 to 2022
$2.4M
NCI NIH HHS R01 CA195527NCI NIH HHS R01 CA239548NHLBI NIH HHS R01 HL148664
6 · The paper itself

Abstract

A growing body of evidence indicates that there is a strong correlation between microvascular morphological features and malignant tumors. Therefore, quantification of these features might allow more accurate differentiation of benign and malignant tumors. The main objective of this research project is to improve the quantification of microvascular networks depicted in contrast-free ultrasound microvessel images. To achieve this goal, a new series of quantitative microvessel morphological parameters are introduced for differentiation of breast masses using contrast-free ultrasound-based high-definition microvessel imaging (HDMI). Using HDMI, we quantified and analyzed four new parameters: 1) microvessel fractal dimension (mvFD), a marker of tumor microvascular complexity; 2) Murray's deviation (MD), the diameter mismatch, defined as the deviation from Murray's law; 3) bifurcation angle (BA), abnormally decreased angle; and 4) spatial vascular pattern (SVP), indicating tumor vascular distribution pattern, either intratumoral or peritumoral. The new biomarkers have been tested on 60 patients with breast masses. Validation of the feature's extraction algorithm was performed using a synthetic data set. All the proposed parameters had the power to discriminate the breast lesion malignancy (p < 0.05), displaying BA as the most sensitive test, with a sensitivity of 90.6%, and mvFD as the most specific test, with a specificity of 92%. The results of all four new biomarkers showed an AUC = 0.889, sensitivity of 80% and specificity of 91.4% In conclusion, the added value of the proposed quantitative morphological parameters, as new biomarkers of angiogenesis within breast masses, paves the way for more accurate breast cancer detection with higher specificity.

Indexed as

Breast NeoplasmsFractalsBiomarkersBreastFemaleHumansMicrovesselsUltrasonographyBiomarkers

Identifiers

PMID34329160
PMCPMC8668387

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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.