Pathological analysis of degenerative changes in humeral osteoarthritis using Raman spectroscopy

Ryuji Asaoka, Hiroshi Kiyomatsu, Akihiro Jono, Masaki Takao, Takashi Katagiri, Yusuke Oshima*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Osteoarthritis is the most common disease in articular cartilage. Raman spectroscopy is a promising tool for early detection of degenerative changes in cartilage matrix. In this study, surgically resected humeral heads of 14 patients were subjected to pathological analysis using Raman spectroscopy with principal component analysis and hierarchical clustering analysis. In the result, Raman spectral data of each specimen were divided into three major cluster reflecting the alteration in molecular composition of cartilage matrix. We also found histological characteristics in the cluster, suggesting that Raman spectrum is a biomarker to determine the condition of the cartilage tissue.

Original languageEnglish
Title of host publicationMultiscale Imaging and Spectroscopy IV
EditorsPaul J. Campagnola, Darren M. Roblyer, Alex J. Walsh
PublisherSPIE
ISBN (Electronic)9781510658318
DOIs
StatePublished - 2023
EventMultiscale Imaging and Spectroscopy IV 2023 - San Francisco, United States
Duration: 2023/01/282023/01/29

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume12363
ISSN (Print)1605-7422

Conference

ConferenceMultiscale Imaging and Spectroscopy IV 2023
Country/TerritoryUnited States
CitySan Francisco
Period2023/01/282023/01/29

Keywords

  • Raman
  • cartilage
  • osteoarthritis

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

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