Quantitative Biomarkers Derived from a Novel, Contrast-Free Ultrasound, High-Definition Microvessel Imaging for Differentiating Choroidal Tumors

Author:

Adusei Shaheeda A.1ORCID,Sabeti Soroosh1,Larson Nicholas B.2ORCID,Dalvin Lauren A.3ORCID,Fatemi Mostafa1ORCID,Alizad Azra14ORCID

Affiliation:

1. Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, 200 1st St. SW, Rochester, MN 55905, USA

2. Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, 200 1st St. SW, Rochester, MN 55905, USA

3. Department of Ophthalmology, Mayo Clinic College of Medicine and Science, 200 1st St. SW, Rochester, MN 55905, USA

4. Department of Radiology, Mayo Clinic College of Medicine and Science, 200 1st St. SW, Rochester, MN 55905, USA

Abstract

Angiogenesis has an essential role in the de novo evolution of choroidal melanoma as well as choroidal nevus transformation into melanoma. Differentiating early-stage melanoma from nevus is of high clinical importance; thus, imaging techniques that provide objective information regarding tumor microvasculature structures could aid accurate early detection. Herein, we investigated the feasibility of quantitative high-definition microvessel imaging (qHDMI) for differentiation of choroidal tumors in humans. This new ultrasound-based technique encompasses a series of morphological filtering and vessel enhancement techniques, enabling the visualization of tumor microvessels as small as 150 microns and extracting vessel morphological features as new tumor biomarkers. Distributional differences between the malignant melanomas and benign nevi were tested on 37 patients with choroidal tumors using a non-parametric Wilcoxon rank-sum test, and statistical significance was declared for biomarkers with p-values < 0.05. The ocular oncology diagnosis was choroidal melanoma (malignant) in 21 and choroidal nevus (benign) in 15 patients. The mean thickness of benign and malignant masses was 1.70 ± 0.40 mm and 3.81 ± 2.63 mm, respectively. Six HDMI biomarkers, including number of vessel segments (p = 0.003), number of branch points (p = 0.003), vessel density (p = 0.03), maximum tortuosity (p = 0.001), microvessel fractal dimension (p = 0.002), and maximum diameter (p = 0.003) exhibited significant distributional differences between the two groups. Contrast-free HDMI provided noninvasive imaging and quantification of microvessels of choroidal tumors. The results of this pilot study indicate the potential use of qHDMI as a complementary tool for characterization of small ocular tumors and early detection of choroidal melanoma.

Funder

National Cancer Institute

Mayo Clinic Ultrasound Research Center

National Center for Advancing Translational Science

Publisher

MDPI AG

Reference38 articles.

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