Evidence map›Paper›PMID 36980774›Full record

ArticleCancers2023

Quantitative Biomarkers Derived from a Novel Contrast-Free Ultrasound High-Definition Microvessel Imaging for Distinguishing Thyroid Nodules.

Melisa Kurti, Soroosh Sabeti, Kathryn A Robinson, Lorenzo Scalise, Nicholas B Larson, Mostafa Fatemi, Azra Alizad

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In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

7 authors.

Melisa KurtiDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA.
Soroosh SabetiDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA.
Kathryn A RobinsonDepartment of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA.
Lorenzo ScaliseDepartment of Industrial Engineering and Mathematical Science, Polytechnic University of Marchedelle Marche, 60131 Ancona, Italy.ORCID 0000-0002-4728-3736
Nicholas B LarsonDepartment of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA.ORCID 0000-0002-3468-4215
Mostafa FatemiDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA.ORCID 0000-0002-6603-9077
Azra AlizadDepartment of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA.ORCID 0000-0002-7658-1572

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
Viscoelastic Parameters estimation and imaging for Thyroid Nodule differentiationR01EB017213 · NIBIB · MAYO CLINIC ROCHESTER · PI ALIZAD, AZRA, CHEN, SHIGAO · 2014 to 2017
$2.2M
NCI NIH HHS R01 CA239548NIBIB NIH HHS R01 EB017213NIH HHS R01CA239548NIH HHS R01 EB017213
6 · The paper itself

Abstract

Low specificity in current ultrasound modalities for thyroid cancer detection necessitates the development of new imaging modalities for optimal characterization of thyroid nodules. Herein, the quantitative biomarkers of a new high-definition microvessel imaging (HDMI) were evaluated for discrimination of benign from malignant thyroid nodules. Without the help of contrast agents, this new ultrasound-based quantitative technique utilizes processing methods including clutter filtering, denoising, vessel enhancement filtering, morphological filtering, and vessel segmentation to resolve tumor microvessels at size scales of a few hundred microns and enables the extraction of vessel morphological features as new tumor biomarkers. We evaluated quantitative HDMI on 92 patients with 92 thyroid nodules identified in ultrasound. A total of 12 biomarkers derived from vessel morphological parameters were associated with pathology results. Using the Wilcoxon rank-sum test, six of the twelve biomarkers were significantly different in distribution between the malignant and benign nodules (all

Indexed as

flow imagingthyroid cancerultrasound microvessel imagingvessel morphological biomarkers

Identifiers

PMID36980774
PMCPMC10046818

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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.