Title :
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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353595
