Literature DB >> 29744670

Real-time navigation system for sentinel lymph node biopsy in breast cancer patients using projection mapping with indocyanine green fluorescence.

Masahiro Takada1, Megumi Takeuchi2, Eiji Suzuki3, Fumiaki Sato3, Yoshiaki Matsumoto3, Masae Torii3, Nobuko Kawaguchi-Sakita3, Hiroto Nishino4, Satoru Seo4, Etsuro Hatano4,5, Masakazu Toi3.   

Abstract

BACKGROUND: Inability to visualize indocyanine green fluorescence images in the surgical field limits the application of current near-infrared fluorescence imaging (NIR) systems for real-time navigation during sentinel lymph node (SLN) biopsy in breast cancer patients. The aim of this study was to evaluate the usefulness of the Medical Imaging Projection System (MIPS), which uses active projection mapping, for SLN biopsy.
METHODS: A total of 56 patients (59 procedures) underwent SLN biopsy using the MIPS between March 2016 and November 2017. After SLN biopsy using the MIPS, residual SLNs were removed using a conventional NIR camera and/or radioisotope method. The primary endpoint of this study was identification rate of SLNs using the MIPS.
RESULTS: In all procedures, at least one SLN was detected by the MIPS, giving an SLN identification rate of 100% [95% confidence interval (CI) 94-100%]. SLN biopsy was successfully performed without operating lights in all procedures. In total, 3 positive SLNs were excised using MIPS, but were not included in the additional SLNs excised by other methods. The median number of SLNs excised using the MIPS was 3 (range 1-7). Of procedures performed after preoperative systemic therapy, the median number of SLNs excised using the MIPS was 3 (range 2-6).
CONCLUSIONS: The MIPS is effective in detecting SLNs in patients with breast cancer, providing continuous and accurate projection of fluorescence signals in the surgical field, without need for operating lights, and could be useful in real-time navigation surgery for SLN biopsy.

Entities:  

Keywords:  Breast neoplasm; Fluorescence imaging; Sentinel lymph node biopsy

Mesh:

Substances:

Year:  2018        PMID: 29744670     DOI: 10.1007/s12282-018-0868-2

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  6 in total

Review 1.  New Technologies for Sentinel Lymph Node Detection.

Authors:  Amit Goyal
Journal:  Breast Care (Basel)       Date:  2018-09-18       Impact factor: 2.860

2.  Comparison of indocyanine green fluorescence and methylene blue dye in the detection of sentinel lymph nodes in breast cancer.

Authors:  Zhenghui Wang; Yangyang Cui; Mingjie Zheng; Han Ge; Yue Huang; Jinghui Peng; Hui Xie; Shui Wang
Journal:  Gland Surg       Date:  2020-10

3.  Real-Time In Situ Navigation System With Indocyanine Green Fluorescence for Sentinel Lymph Node Biopsy in Patients With Breast Cancer.

Authors:  Zhaorui Wang; Xiaowei Yang; Jingjing Wang; Peng Liu; Yubo Pan; Chunguang Han; Jing Pei
Journal:  Front Oncol       Date:  2021-05-05       Impact factor: 6.244

Review 4.  A review of the application of machine learning in molecular imaging.

Authors:  Lin Yin; Zhen Cao; Kun Wang; Jie Tian; Xing Yang; Jianhua Zhang
Journal:  Ann Transl Med       Date:  2021-05

5.  Near-infrared laparoscopy with indocyanine green for axillary sentinel lymph node biopsy in early breast cancer: preliminary experience of a single unit.

Authors:  Ping Yang; Xi'e Hu; Shujia Peng; Lu Wang; Lin Yang; Yanming Dong; Zhenyu Yang; Lijuan Yuan; Huadong Zhao; Xianli He; Guoqiang Bao
Journal:  Gland Surg       Date:  2021-05

6.  Usefulness and Prospects of Sentinel Lymph Node Biopsy for Patients With Breast Cancer Using the Medical Imaging Projection System.

Authors:  Yuki Nakamura; Masahiro Takada; Michiko Imamura; Akane Higami; He Jiaxi; Makoto Fujino; Rie Nakagawa; Yukiko Inagaki; Yoshiaki Matsumoto; Kosuke Kawaguchi; Masahiro Kawashima; Eiji Suzuki; Masakazu Toi
Journal:  Front Oncol       Date:  2021-05-26       Impact factor: 6.244

  6 in total

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