Document Detail


Use of hyperspectral imaging to distinguish normal, precancerous, and cancerous cells.
MedLine Citation:
PMID:  18213691     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: The objective of the current study was to test the hypothesis that the cytologic diagnosis of cancer cells can be enhanced by the technique of hyperspectral imaging (HSI). METHODS: As a proof of principle, HSI was employed to obtain hyperspectrum from a normal human fibroblast, as well as its telomerase-immortalized and SV40-transformed derivatives. Novel algorithms were developed to differentiate among these cell models based on spectral and spatial differences. Using the same technique with modified algorithms, the authors were able to differentiate among normal and precancerous (low-grade [LG] and high-grade [HG]) cervical cells and squamous cell carcinoma (SCC) on liquid-based Papanicolaou (Pap) test slides. RESULTS: The specificity for identifying normal fibroblast cell type based on spatial and spectral algorithms was 74.2%. The sensitivity for identifying telomerase-immortalized and SV40-transformed cells was 100% and 90.3%, respectively. The system identified normal cervical cells with a specificity of 95.8%. With regard to LG precancerous cells and HG precancerous cells, the sensitivity was 66.7% and 93.5%, respectively. The sensitivity detected for SCC was 98.6%. CONCLUSIONS: HSI can be utilized in prescreening liquid-based Pap test slides to improve efficiency in Pap test diagnoses with the goal of ultimately reducing the mortality from cervical cancer while reducing health care costs.
Authors:
Anwer M Siddiqi; Hui Li; Fazlay Faruque; Worth Williams; Kent Lai; Michael Hughson; Steven Bigler; James Beach; William Johnson
Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Cancer     Volume:  114     ISSN:  0008-543X     ISO Abbreviation:  Cancer     Publication Date:  2008 Feb 
Date Detail:
Created Date:  2008-02-18     Completed Date:  2008-04-08     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0374236     Medline TA:  Cancer     Country:  United States    
Other Details:
Languages:  eng     Pagination:  13-21     Citation Subset:  AIM; IM    
Copyright Information:
(c) 2007 American Cancer Society
Affiliation:
Department of Pathology, University of Mississippi Medical Center, Jackson, Mississippi 39216-4505, USA. asiddiqi@pathology.umsmed.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Cervical Intraepithelial Neoplasia / pathology*
Cervix Uteri / cytology*
Diagnostic Imaging / methods*
Female
Humans
Neoplasms, Squamous Cell / pathology*
Sensitivity and Specificity
Spectrum Analysis
Uterine Cervical Dysplasia / pathology*
Uterine Cervical Neoplasms / pathology*
Vaginal Smears

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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