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

Authors :: Ortiz-de-Solorzano C
Ucar-Vargas B
Pengo T
Zudaire I
Montuenga LM
Munoz-Barrutia A
Source :: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2007; Vol. 2007, pp. 5517-20.
Publication Year :: 2007
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.

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

Language :: English
ISSN :: 2375-7477
Volume :: 2007
Database :: MEDLINE
Journal :: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Publication Type :: Academic Journal
Accession number :: 18003261
Full Text :: https://doi.org/10.1109/IEMBS.2007.4353595