@inproceedings{5b8bbee004f04fde8810691abddebe7a,
title = "A Pipeline for Histopathology Analysis of Prostate Cancer Guided by Mass Spectrometry Imaging",
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.",
keywords = "H&E, Image Analysis, MALDI-TOF, Mass Spectrometry, Prostate Cancer",
author = "Luna, {Jose Marcio} and Hani Nakhoul and Cody Weimholt and Kim, {Eric H.} and Song, {Sheng Kwei} and Angel, {Peggi M.} and Drake, {Richard R.} and Ippolito, {Joseph E.}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 21st IEEE International Symposium on Biomedical Imaging, ISBI 2024 ; Conference date: 27-05-2024 Through 30-05-2024",
year = "2024",
doi = "10.1109/ISBI56570.2024.10635223",
language = "English",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
booktitle = "IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings",
}