机构：[1]The SMART (Smart Medicine and AI-Based Radiology Technology) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China[2]School of Communication and Information Engineering, Shanghai University, Shanghai 2004 4 4, China[3]Department of Ultrasound, Tongren Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 20 0 050, China
Background and objective: Neoadjuvant chemotherapy (NAC) is a valuable treatment approach for locally advanced breast cancer. Contrast-enhanced ultrasound (CEUS) potentially enables the assessment of therapeutic response to NAC. In order to evaluate the response accurately, quantitatively and objectively, a method that can effectively compensate motions of breast cancer in CEUS videos is urgently needed.Methods: We proposed the four-quadrant fast compressive tracking (FQFCT) approach to automatically perform CEUS video tracking and compensation for mice undergoing NAC. The FQFCT divided a tracking window into four smaller windows at four quadrants of a breast lesion and formulated the tracking at each quadrant as a binary classification task. After the FQFCT of breast cancer videos, the quantitative features of CEUS including the mean transit time (MTT) were computed. All mice showed a pathological response to NAC. The features between pre-(day 1) and post-treatment (day 3 and day 5) in these responders were statistically compared.Results: When we tracked the CEUS videos of mice with the FQFCT, the average tracking error of FQFCT was 0.65 mm, reduced by 46.72% compared with the classic fast compressive tracking method (1.22 mm). After compensation with the FQFCT, the MTT on day 5 of the NAC was significantly different from the MTT before NAC (day 1) ( p = 0.013).Conclusions: The FQFCT improves the accuracy of CEUS video tracking and contributes to the computer aided response evaluation of NAC for breast cancer in mice.(c) 2022 Elsevier B.V. All rights reserved.
基金：
National Natural Science Foundation of China under Grant 62071285 .
语种：
外文
被引次数：
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2021]版：
大类|2 区工程技术
小类|2 区计算机：理论方法2 区工程：生物医学3 区计算机：跨学科应用3 区医学：信息
最新[2023]版：
大类|2 区医学
小类|2 区计算机：跨学科应用2 区计算机：理论方法2 区工程：生物医学2 区医学：信息
JCR分区：
出版当年[2020]版：
Q1COMPUTER SCIENCE, THEORY & METHODSQ1COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONSQ1ENGINEERING, BIOMEDICALQ1MEDICAL INFORMATICS
最新[2023]版：
Q1COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONSQ1COMPUTER SCIENCE, THEORY & METHODSQ1ENGINEERING, BIOMEDICALQ1MEDICAL INFORMATICS
第一作者机构：[1]The SMART (Smart Medicine and AI-Based Radiology Technology) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China[2]School of Communication and Information Engineering, Shanghai University, Shanghai 2004 4 4, China
共同第一作者：
通讯作者：
通讯机构：[1]The SMART (Smart Medicine and AI-Based Radiology Technology) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China[2]School of Communication and Information Engineering, Shanghai University, Shanghai 2004 4 4, China[3]Department of Ultrasound, Tongren Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 20 0 050, China[*1]Department of Ultrasound, Tongren Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 20 0 050, China.[*2]School of Communication and Information Engineer- ing, Shanghai University, Shanghai 2004 4 4, China.
推荐引用方式(GB/T 7714)：
Yan Yifei,Tang Lei,Huang Haibo,et al.Four-quadrant fast compressive tracking of breast ultrasound videos for computer-aided response evaluation of neoadjuvant chemotherapy in mice[J].COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE.2022,217:doi:10.1016/j.cmpb.2022.106698.
APA：
Yan, Yifei,Tang, Lei,Huang, Haibo,Yu, Qihui,Xu, Haohao...&Zhang, Qi.(2022).Four-quadrant fast compressive tracking of breast ultrasound videos for computer-aided response evaluation of neoadjuvant chemotherapy in mice.COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE,217,
MLA：
Yan, Yifei,et al."Four-quadrant fast compressive tracking of breast ultrasound videos for computer-aided response evaluation of neoadjuvant chemotherapy in mice".COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 217.(2022)
医学