Abstract

Recent evidence shows that interactions between tumor cells, immune cells, and extracellular matrix (ECM) proteins in the stroma play an important role in prostate cancer (PCa) progression. However, to date these factors are not accounted for in clinical evaluation of PCa patients. Our team has developed methods based on matrix-assisted laser desorption/ionization (MALDI) imaging to identify sets of ECM glycan and collagen molecules associated with PCa. In this study, we leverage computational imaging methods and pathomic textural features to assess the potential of MALDI imaging to guide the identification of regions in PCa hematoxylin and eosin stain (H&E) images as tumor or non-tumor. We provide preliminary evidence that MALDI imaging can elucidate tissue properties and guide pathomic textural analysis in H&E images, with potential applications in treatment guidance and prognostication of PCa.

Original languageEnglish
Title of host publicationIEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings
PublisherIEEE Computer Society
ISBN (Electronic)9798350313338
DOIs
StatePublished - 2024
Event21st IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Athens, Greece
Duration: May 27 2024May 30 2024

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference21st IEEE International Symposium on Biomedical Imaging, ISBI 2024
Country/TerritoryGreece
CityAthens
Period05/27/2405/30/24

Keywords

  • H&E
  • Image Analysis
  • MALDI-TOF
  • Mass Spectrometry
  • Prostate Cancer

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