Computer Assisted Detection of Cancer Cells in Minimal Samples of Lung Cancer

Author

Ortiz-de-Solorzano, Carlos ; Ucar-Vargas, B. ; Pengo, Thomas ; Zudaire, I. ; Montuenga, L.M. ; Muoz-Barrutia, A.

Author_Institution

Univ. of Navarra, Pamplona

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

5517

Lastpage

5520

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.

Keywords

biomedical optical imaging; cancer; cellular biophysics; fluorescence; genetics; lung; medical image processing; bronchoalveolar lavage; cancer cells; computer assisted cancer detection; fluorescence immunophenotyping; interphase cytogenetics; lung cancer; neoplasms; three-dimensional genomic integrity analysis; Bioinformatics; Cancer detection; Fluorescence; Genomics; Image analysis; Immune system; Lungs; Multidimensional systems; Neoplasms; Protocols; Algorithms; Artificial Intelligence; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Lung Neoplasms; Pattern Recognition, Automated; Reproducibility of Results; Sample Size; Sensitivity and Specificity;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4353595

Filename

4353595