Literature DB >> 31751215

In Vivo Photoacoustic Sentinel Lymph Node Imaging Using Clinically-Approved Carbon Nanoparticles.

Songde Liu, Hang Wang, Chenxi Zhang, Jiangning Dong, Shengchun Liu, Ronald Xu, Chao Tian.   

Abstract

OBJECTIVE: Breast cancer is the most common type of invasive cancer and one of the leading causes of cancer death in women worldwide. Correct staging of breast cancer is critical to the survival rate of the patients. Sentinel lymph node (SLN) biopsy (SLNB), currently the gold standard technique for breast cancer staging, requires preoperative and intraoperative image guidance for noninvasive SLN identification and minimal surgical invasion. However, existing image guidance techniques suffer from a variety of limitations, such as ionizing radiation, high cost, and poor imaging depth. To address the clinical challenges, new methodology has to be developed.
METHODS: We developed a photoacoustic (PA) imaging procedure for noninvasive and nonradioactive SLN identification and biopsy guidance enhanced with a clinically-approved lymphatic tracer, i.e., carbon nanoparticles (CNPs) suspension injection.
RESULTS: In vivo experiments show that the proposed procedure could sensitively identify the SLN and provide high-contrast image guidance for fine-needle aspiration simulation. In addition, we demonstrated that CNPs have significantly better performance than other commonly-used contrast agents, such as methylene blue and indocyanine green.
CONCLUSION: PA imaging technique using clinically-approved CNPs as the contrast agent is capable for noninvasive and nonradioactive SLN identification and high-contrast biopsy guidance, and should be considered as a new tool for assisting SLNB in breast cancer staging. SIGNIFICANCE: The proposed CNPs-enhanced PA imaging technique provides a practical way for SLN identification and biopsy guidance for breast cancer patients and paves the way for clinical translation of PA SLN imaging.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 31751215     DOI: 10.1109/TBME.2019.2953743

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  3 in total

1.  Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images.

Authors:  Shuai Wang; Yingying Zhu; Sungwon Lee; Daniel C Elton; Thomas C Shen; Youbao Tang; Yifan Peng; Zhiyong Lu; Ronald M Summers
Journal:  Med Image Anal       Date:  2022-01-08       Impact factor: 8.545

Review 2.  The emerging role of photoacoustic imaging in clinical oncology.

Authors:  Li Lin; Lihong V Wang
Journal:  Nat Rev Clin Oncol       Date:  2022-03-23       Impact factor: 66.675

3.  An Automatic Unmixing Approach to Detect Tissue Chromophores from Multispectral Photoacoustic Imaging.

Authors:  Valeria Grasso; Joost Holthof; Jithin Jose
Journal:  Sensors (Basel)       Date:  2020-06-06       Impact factor: 3.576

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.