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Four-quadrant fast compressive tracking of breast ultrasound videos for computer-aided response evaluation of neoadjuvant chemotherapy in mice.
Yan, Yifei; Tang, Lei; Huang, Haibo; Yu, Qihui; Xu, Haohao; Chen, Ying; Chen, Man; Zhang, Qi.
  • Yan Y; The SMART (Smart Medicine and AI-Based Radiology Technology) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China; School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China.
  • Tang L; Department of Ultrasound, Tongren Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200050, China.
  • Huang H; The SMART (Smart Medicine and AI-Based Radiology Technology) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China; School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China.
  • Yu Q; The SMART (Smart Medicine and AI-Based Radiology Technology) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China; School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China.
  • Xu H; The SMART (Smart Medicine and AI-Based Radiology Technology) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China; School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China.
  • Chen Y; The SMART (Smart Medicine and AI-Based Radiology Technology) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China; School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China.
  • Chen M; Department of Ultrasound, Tongren Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200050, China. Electronic address: CM3650@shtrhospital.com.
  • Zhang Q; The SMART (Smart Medicine and AI-Based Radiology Technology) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China; School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China. Electronic address: zhangq@t.shu.e
Comput Methods Programs Biomed ; 217: 106698, 2022 Apr.
Article en En | MEDLINE | ID: mdl-35217304
ABSTRACT
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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Terapia Neoadyuvante Tipo de estudio: Diagnostic_studies Límite: Animals / Female / Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Terapia Neoadyuvante Tipo de estudio: Diagnostic_studies Límite: Animals / Female / Humans Idioma: En Año: 2022 Tipo del documento: Article