Ternifi, Redouane
Wang, Yinong
Gu, Juanjuan
Polley, Eric C.
Carter, Jodi M.
Pruthi, Sandhya
Boughey, Judy C.
Fazzio, Robert T.
Fatemi, Mostafa
Alizad, Azra http://orcid.org/0000-0002-7658-1572
Funding for this research was provided by:
National Cancer Institute (R01CA239548, R01CA195527, R01CA168575)
Article History
Received: 18 January 2022
Revised: 24 March 2022
Accepted: 12 April 2022
First Online: 29 April 2022
Declarations
:
: The scientific guarantors of this publication are Dr. Azra Alizad (Department of Radiology) and Dr. Mostafa Fatemi (Department of Physiology and Biomedical Engineering), Mayo Clinic.
: The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
: Dr. Eric C. Polley kindly provided statistical advice for this study and was listed as one of the authors.
: A signed written informed consent with permission for publication was obtained from each enrolled participant prior to the prospective study.
: We received institutional review board approval (IRB#: 12-003329 and IRB#: 19-003028) in compliance with the Health Insurance Portability and Accountability Act and obtained signed written informed consent with permission for de-identified images from each enrollee prior to this prospective study.
: A small subset of subjects have been previously reported in the following article [CitationRef removed]. In the prior published study, we introduced the basic principles of 4 new quantitative biomarkers based on microvessel images including some simulation and limited patient study results to illustrate the role of each biomarker. The four biomarkers are (1) microvessel fractal dimension, (2) Murray’s deviation, (3) bifurcation angle (BA), and (4) spatial vascular pattern. In the present study, we introduce the processing methods for the new high-definition microvessel imaging technique and quantify comprehensive microvessel morphological parameters of breast tumor, then validate the method on a large group of patient population. The present study with a larger sample size and more lesion categories allowed us to investigate the performance of HDMI biomarkers in different lesion size groups individually and together in a multivariable analysis. Furthermore, the correlation of HDMI biomarkers with cancer grades has been investigated. Therefore, the current validation study is a substantial expansion in knowledge compared to our previous work.Ternifi R., Wang Y., Polley E.C., Fazzio R.T., Fatemi M., and Alizad A. (2021) Quantitative biomarkers for cancer detection using contrast-free ultrasound high-definition microvessel imaging: fractal dimension, Murray’s deviation, bifurcation angle & spatial vascularity pattern. IEEE Transactions on Medical Imaging Early Access:1-10
: • prospective• diagnostic or prognostic study• performed at one institution