Adjacent slice prostate cancer prediction to inform MALDI imaging biomarker analysis

Shao Hui Chuang, Xiaoyan Sun, Lisa Cazares, Julius Nyalwidhe, Dean Troyer, O. John Semmes, Jiang Li, Frederic D. McKenzie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


Prostate cancer is the second most common type of cancer among men in US [1]. Traditionally, prostate cancer diagnosis is made by the analysis of prostate-specific antigen (PSA) levels and histopathological images of biopsy samples under microscopes. Proteomic biomarkers can improve upon these methods. MALDI molecular spectra imaging is used to visualize protein/peptide concentrations across biopsy samples to search for biomarker candidates. Unfortunately, traditional processing methods require histopathological examination on one slice of a biopsy sample while the adjacent slice is subjected to the tissue destroying desorption and ionization processes of MALDI. The highest confidence tumor regions gained from the histopathological analysis are then mapped to the MALDI spectra data to estimate the regions for biomarker identification from the MALDI imaging. This paper describes a process to provide a significantly better estimate of the cancer tumor to be mapped onto the MALDI imaging spectra coordinates using the high confidence region to predict the true area of the tumor on the adjacent MALDI imaged slice.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2010
Subtitle of host publicationComputer-Aided Diagnosis
EditorsRonald M. Summers, Nico Karssemeijer
ISBN (Electronic)9780819480255
StatePublished - 2010
Externally publishedYes
EventMedical Imaging 2010: Computer-Aided Diagnosis - San Diego, United States
Duration: Feb 16 2010Feb 18 2010

Publication series

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


ConferenceMedical Imaging 2010: Computer-Aided Diagnosis
Country/TerritoryUnited States
CitySan Diego


  • Histopathology
  • MLP Classification
  • Prostate Cancer
  • Texture Analysis

ASJC Scopus subject areas

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


Dive into the research topics of 'Adjacent slice prostate cancer prediction to inform MALDI imaging biomarker analysis'. Together they form a unique fingerprint.

Cite this