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Detecting Early Ocular Choroidal Melanoma Using Ultrasound Localization Microscopy

Ocular choroidal melanoma (OCM) is the most common ocular primary malignant tumor in adults, and there is an increasing emphasis on its early detection and treatment worldwide. The main obstacle in early detection of OCM is its overlapping clinical features with benign choroidal nevus. Thus, we prop...

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Autores principales: Quan, Biao, Liu, Xiangdong, Zhao, Shuang, Chen, Xiang, Zhang, Xuan, Chen, Zeyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136200/
https://www.ncbi.nlm.nih.gov/pubmed/37106615
http://dx.doi.org/10.3390/bioengineering10040428
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author Quan, Biao
Liu, Xiangdong
Zhao, Shuang
Chen, Xiang
Zhang, Xuan
Chen, Zeyu
author_facet Quan, Biao
Liu, Xiangdong
Zhao, Shuang
Chen, Xiang
Zhang, Xuan
Chen, Zeyu
author_sort Quan, Biao
collection PubMed
description Ocular choroidal melanoma (OCM) is the most common ocular primary malignant tumor in adults, and there is an increasing emphasis on its early detection and treatment worldwide. The main obstacle in early detection of OCM is its overlapping clinical features with benign choroidal nevus. Thus, we propose ultrasound localization microscopy (ULM) based on the image deconvolution algorithm to assist the diagnosis of small OCM in early stages. Furthermore, we develop ultrasound (US) plane wave imaging based on three-frame difference algorithm to guide the placement of the probe on the field of view. A high-frequency Verasonics Vantage system and an L22-14v linear array transducer were used to perform experiments on both custom-made modules in vitro and a SD rat with ocular choroidal melanoma in vivo. The results demonstrate that our proposed deconvolution method implement more robust microbubble (MB) localization, reconstruction of microvasculature network in a finer grid and more precise flow velocity estimation. The excellent performance of US plane wave imaging was successfully validated on the flow phantom and in an in vivo OCM model. In the future, the super-resolution ULM, a critical complementary imaging modality, can provide doctors with conclusive suggestions for early diagnosis of OCM, which is significant for the treatment and prognosis of patients.
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spelling pubmed-101362002023-04-28 Detecting Early Ocular Choroidal Melanoma Using Ultrasound Localization Microscopy Quan, Biao Liu, Xiangdong Zhao, Shuang Chen, Xiang Zhang, Xuan Chen, Zeyu Bioengineering (Basel) Article Ocular choroidal melanoma (OCM) is the most common ocular primary malignant tumor in adults, and there is an increasing emphasis on its early detection and treatment worldwide. The main obstacle in early detection of OCM is its overlapping clinical features with benign choroidal nevus. Thus, we propose ultrasound localization microscopy (ULM) based on the image deconvolution algorithm to assist the diagnosis of small OCM in early stages. Furthermore, we develop ultrasound (US) plane wave imaging based on three-frame difference algorithm to guide the placement of the probe on the field of view. A high-frequency Verasonics Vantage system and an L22-14v linear array transducer were used to perform experiments on both custom-made modules in vitro and a SD rat with ocular choroidal melanoma in vivo. The results demonstrate that our proposed deconvolution method implement more robust microbubble (MB) localization, reconstruction of microvasculature network in a finer grid and more precise flow velocity estimation. The excellent performance of US plane wave imaging was successfully validated on the flow phantom and in an in vivo OCM model. In the future, the super-resolution ULM, a critical complementary imaging modality, can provide doctors with conclusive suggestions for early diagnosis of OCM, which is significant for the treatment and prognosis of patients. MDPI 2023-03-28 /pmc/articles/PMC10136200/ /pubmed/37106615 http://dx.doi.org/10.3390/bioengineering10040428 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Quan, Biao
Liu, Xiangdong
Zhao, Shuang
Chen, Xiang
Zhang, Xuan
Chen, Zeyu
Detecting Early Ocular Choroidal Melanoma Using Ultrasound Localization Microscopy
title Detecting Early Ocular Choroidal Melanoma Using Ultrasound Localization Microscopy
title_full Detecting Early Ocular Choroidal Melanoma Using Ultrasound Localization Microscopy
title_fullStr Detecting Early Ocular Choroidal Melanoma Using Ultrasound Localization Microscopy
title_full_unstemmed Detecting Early Ocular Choroidal Melanoma Using Ultrasound Localization Microscopy
title_short Detecting Early Ocular Choroidal Melanoma Using Ultrasound Localization Microscopy
title_sort detecting early ocular choroidal melanoma using ultrasound localization microscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136200/
https://www.ncbi.nlm.nih.gov/pubmed/37106615
http://dx.doi.org/10.3390/bioengineering10040428
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