Clinical application of photodynamic medicine technology using light-emitting fluorescence imaging based on a specialized luminous source View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-12

AUTHORS

Tsutomu Namikawa, Kazune Fujisawa, Eri Munekage, Jun Iwabu, Sunao Uemura, Shigehiro Tsujii, Hiromichi Maeda, Hiroyuki Kitagawa, Hideo Fukuhara, Keiji Inoue, Takayuki Sato, Michiya Kobayashi, Kazuhiro Hanazaki

ABSTRACT

The natural amino acid 5-aminolevulinic acid (ALA) is a protoporphyrin IX (PpIX) precursor and a new-generation photosensitive substance that accumulates specifically in cancer cells. When indocyanine green (ICG) is irradiated with near-infrared (NIR) light, it shifts to a higher energy state and emits infrared light with a longer wavelength than the irradiated NIR light. Photodynamic diagnosis (PDD) using ALA and ICG-based NIR fluorescence imaging has emerged as a new diagnostic technique. Specifically, in laparoscopic examinations for serosa-invading advanced gastric cancer, peritoneal metastases could be detected by ALA-PDD, but not by conventional visible-light imaging. The HyperEye Medical System (HEMS) can visualize ICG fluorescence as color images simultaneously projected with visible light in real time. This ICG fluorescence method is widely applicable, including for intraoperative identification of sentinel lymph nodes, visualization of blood vessels in organ resection, and blood flow evaluation during surgery. Fluorescence navigation by ALA-PDD and NIR using ICG imaging provides good visualization and detection of the target lesions that is not possible with the naked eye. We propose that this technique should be used in fundamental research on the relationship among cellular dynamics, metabolic enzymes, and tumor tissues, and to evaluate clinical efficacy and safety in multicenter cooperative clinical trials. More... »

PAGES

187-193

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00795-018-0190-2

DOI

http://dx.doi.org/10.1007/s00795-018-0190-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103155071

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29619546


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00795-018-0190-2'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00795-018-0190-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00795-018-0190-2'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00795-018-0190-2'


 

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305 Department of Surgery, Kochi Medical School, Kohasu, Oko-cho, Nankoku, 783-8505, Kochi, Japan
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