Super-resolution ultrasound and microvasculomics: a consensus statement

期刊论文
发表日期：

2024年5月29日

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ShuJun Xia,
YuHang Zheng,
Qing Hua,
Jing Wen,
XiaoMao Luo,
JiPing Yan,
BaoYan Bai,
YiJie Dong,
JianQiao Zhou,
Jing Wang,
LinLin Song,
XueJun Ni,
Zhuogui Sun,
ZhenYi Peng,
Guanghe Cui,
Jia Liu,
Jian Fu,
Yan Zhang,
YiBo Zhou,
Hong Ding,
ShuJun Xia,
YuHang Zheng,
Qing Hua,
YiJie Dong,
JianQiao Zhou,
Fang Liu,
Mei Peng,
JiPing Yan,
ZhengDong Fei,
JinDuo Shou,
Li Zhao,
XianLi Zhou,
LiYing Shi,
Jin Wen,
Xin Chang,
Nianan He,
JinPing Wang,
XueMei He,
Yan Yang,
ChangJun Wu,
LiLi Zhang,
Xinhua Ye,
XiaoDong Zhang,
YunFei Zhang,
Wu Chen,
LiJuan Zhang,
QunXia Zhang,
ShaoZheng He,
Li Zhao,
Yu Zhao,
Tao You,
Wen Han,
Yuhua Zhang,
BaoYan Bai,
Ruhai Zhou,
XiaoMao Luo,
HuiPin Chen

摘要

Abstract

This is a summary of a consensus statement on the introduction of “Ultrasound microvasculomics” produced by The Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound. The evaluation of microvessels is a very important part for the assessment of diseases. Super-resolution ultrasound (SRUS) microvascular imaging surpasses traditional ultrasound imaging in the morphological and functional analysis of microcirculation. SRUS microvascular imaging relies on contrast microbubbles to gain sensitivity to microvessels and improves the spatial resolution of ultrasound blood flow imaging for a more detailed depiction of vascular structures and hemodynamics. This method has been applied in preclinical animal models and pilot clinical studies, involving areas including neurology, oncology, nephrology, and cardiology. However, the current quantitative parameters of SRUS images are not enough for precise evaluation of microvessels. Therefore, by employing omics methods, more quantification indicators can be obtained, enabling a more precise and personalized assessment of microvascular status. Ultrasound microvasculomics - a high-throughput extraction of image features from SRUS images - is one novel approach that holds great promise but needs further validation in both bench and clinical settings.

Clinical relevance statement

Super-resolution Ultrasound (SRUS) blood flow imaging improves spatial resolution. Ultrasound microvasculomics is possible to acquire high-throughput information of features from SRUS images. It provides more precise and abundant micro-blood flow information in clinical medicine.

Key Points

This consensus statement reviews the development and application of super-resolution ultrasound (SRUS).

The shortcomings of the current quantification indicators of SRUS and strengths of the omics methodology are addressed.

“Ultrasound microvasculomics” is introduced for a high-throughput extraction of image features from SRUS images.