Computer assisted detection of cancer cells in minimal samples of lung cancer

Carlos Ortiz-de-Solorzano; Beatriz Ucar-Vargas; Thomas Pengo; Isabel Zudaire; Luis M Montuenga; Arrate Munoz-Barrutia

doi:10.1109/IEMBS.2007.4353595

Computer assisted detection of cancer cells in minimal samples of lung cancer

Annu Int Conf IEEE Eng Med Biol Soc. 2007:2007:5517-20. doi: 10.1109/IEMBS.2007.4353595.

Authors

Carlos Ortiz-de-Solorzano¹, Beatriz Ucar-Vargas, Thomas Pengo, Isabel Zudaire, Luis M Montuenga, Arrate Munoz-Barrutia

Affiliation

¹ Oncology Division, Center for Applied Medical Research, University of Navarra, Pamplona, Spain.

PMID: 18003261
DOI: 10.1109/IEMBS.2007.4353595

Abstract

We present and validate a quantitative, multidimensional image analysis protocol to assist in the early detection of lung cancer in minimal samples of bronchoalveolar lavage (BAL). To that end we stained BAL samples using Fluorescence Immunophenotyping and Interphase Cytogenetics as a Tool for the Investigation of Neoplasms (FICTION). Our method allows preliminary immunophenotypic detection of rare cancerous candidate cells, followed by accurate three-dimensional analysis of genomic integrity, to confirm or refute the initial assessment. Our results show that our automated analysis can accurately assist a human expert in the diagnostic evaluation of BAL samples.

Publication types

Evaluation Study
Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Artificial Intelligence*
Humans
Image Enhancement / methods
Image Interpretation, Computer-Assisted / methods*
Lung Neoplasms / pathology*
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sample Size
Sensitivity and Specificity