TY - JOUR
T1 - Computer assisted detection of cancer cells in minimal samples of lung cancer.
AU - Ortiz-de-Solorzano, Carlos
AU - Ucar-Vargas, Beatriz
AU - Pengo, Thomas
AU - Zudaire, Isabel
AU - Montuenga, Luis M.
AU - Munoz-Barrutia, Arrate
PY - 2007/12/1
Y1 - 2007/12/1
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=84903866982&partnerID=8YFLogxK
M3 - Article
C2 - 18003261
SN - 1557-170X
SP - 5517
EP - 5520
JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ER -
