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

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6 Author(s)
Carlos Ortiz-de-Solorzano ; Oncology Division, Center for Applied Medical Research, University of Navarra, Pamplona, Spain; Department of Electrical and Electronic Engineering, University of Navarra, San Sebastian, Spain; Department of Histology and Pathology, University of Navarra, Pamplona, Spain ; Beatriz Ucar-Vargas ; Thomas Pengo ; Isabel Zudaire
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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.

Published in:

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

Date of Conference:

22-26 Aug. 2007